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Todd Constable, PhD

Elizabeth Mears and House Jameson Professor of Radiology and Biomedical Imaging and Professor of Neurosurgery; Director MRI Research

Research & Publications
Biography
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Research Summary

My research is focused on developing and validating novel approaches to functional Magnetic Resonance Imaging (fMRI) and using these methods to improve our understanding of brain function. This work includes approaches for quantitative neuroimaging and methods for assessing brain function via connectivity mapping. These developments are applied in the neurosurgical environment to localizing epileptogenic tissue and mapping function prior to surgical intervention. These studies provide a framework for validating the fMRI techniques through comparisons with cortical stimulation, behavioral analyses, Wada testing, and patient outcomes. They also improve our understanding of the link between fMRI signal changes and neuronal activity, through comparisons of fMRI in vivo with EEG/ERP recordings obtained in patients with depth electrodes and/or subdural grids. We are also interested in better understanding basic language and memory processing in humans and factors that influence the networks revealed by neuroimaging.

Specialized Terms: Development of MRI techniques to allow faster scanning and/or to provide functional information; Quantitative information and high quality pictures of anatomy; Application of new methods to answer fundamental questions in basic science and medicine with emphasis on applications in neuroscience.

Extensive Research Description

Dr. Todd Constable's research primarily focuses on functional magnetic resonance (MR) and understanding cognitive processes that are related to language and memory and how these processes may be altered in different disease states or with different medications. An important aspect of some of the imaging techniques he is developing is the ability to separate indirect physiologic changes associated with particular diseases or medications from those that directly impact neuronal processes.

Coauthors

Research Interests

Anatomy; Diagnostic Imaging; Magnetic Resonance Imaging; Neurosurgery; Radiology; Neuroimaging

Selected Publications

Clinical Promise of Brain-Phenotype ModelingGreene A, Constable R. Clinical Promise of Brain-Phenotype Modeling. JAMA Psychiatry 2023, 80: 848-854. PMID: 37314790, DOI: 10.1001/jamapsychiatry.2023.1419.
Magnetic resonance imaging using a nonuniform Bo (NuBo) field-cycling magnetSelvaganesan K, Wan Y, Ha Y, Wu B, Hancock K, Galiana G, Constable R. Magnetic resonance imaging using a nonuniform Bo (NuBo) field-cycling magnet. PLOS ONE 2023, 18: e0287344. PMID: 37319289, PMCID: PMC10270621, DOI: 10.1371/journal.pone.0287344.
Brain responses to nutrients are severely impaired and not reversed by weight loss in humans with obesity: a randomized crossover studyvan Galen K, Schrantee A, ter Horst K, la Fleur S, Booij J, Constable R, Schwartz G, DiLeone R, Serlie M. Brain responses to nutrients are severely impaired and not reversed by weight loss in humans with obesity: a randomized crossover study. Nature Metabolism 2023, 5: 1059-1072. PMID: 37308722, DOI: 10.1038/s42255-023-00816-9.
Challenges in fMRI and Its LimitationsConstable R. Challenges in fMRI and Its Limitations. 2023, 497-510. DOI: 10.1007/978-3-031-10909-6_22.
Functional Connectivity MR ImagingHorien C, Shen X, Scheinost D, Constable R, Hampson M. Functional Connectivity MR Imaging. 2023, 521-541. DOI: 10.1007/978-3-031-10909-6_24.
Why is everyone talking about brain state?Greene A, Horien C, Barson D, Scheinost D, Constable R. Why is everyone talking about brain state? Trends In Neurosciences 2023, 46: 508-524. PMID: 37164869, PMCID: PMC10330476, DOI: 10.1016/j.tins.2023.04.001.
Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018Kaltenhauser S, Weber C, Lin H, Mozayan A, Malhotra A, Constable R, Acosta J, Falcone G, Taylor S, Ment L, Sheth K, Payabvash S. Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Network Open 2023, 6: e2314193. PMID: 37200030, PMCID: PMC10196880, DOI: 10.1001/jamanetworkopen.2023.14193.
Connectome-based machine learning models are vulnerable to subtle data manipulationsRosenblatt M, Rodriguez R, Westwater M, Dai W, Horien C, Greene A, Constable R, Noble S, Scheinost D. Connectome-based machine learning models are vulnerable to subtle data manipulations. Patterns 2023, 100756. DOI: 10.1016/j.patter.2023.100756.
Blunted neural reward response to alcohol and greater alcohol motivation in binge drinkers in a randomized clinical experimentBlaine S, Fogelman N, Lacadie C, Constable T, Sinha R. Blunted neural reward response to alcohol and greater alcohol motivation in binge drinkers in a randomized clinical experiment. Alcoholism Clinical And Experimental Research 2023, 47: 1067-1078. PMID: 37070596, PMCID: PMC10289130, DOI: 10.1111/acer.15082.
Impact of Bilingualism on the Cognitive Outcomes in Stroke Survivors: A Systematic Review (P4-12.005)Eldem E, Misra S, Quinn T, Driskell L, Perez A, Carrion C, Constable T, Schindler J, Zhao Y, Sico J, Hinman J, Allore H, Kiran S, Abutalebi J, Annoni J, Mishra N. Impact of Bilingualism on the Cognitive Outcomes in Stroke Survivors: A Systematic Review (P4-12.005). 2023, 3871. DOI: 10.1212/wnl.0000000000203584.
Functional brain networks reflect spatial and temporal autocorrelationShinn M, Hu A, Turner L, Noble S, Preller K, Ji J, Moujaes F, Achard S, Scheinost D, Constable R, Krystal J, Vollenweider F, Lee D, Anticevic A, Bullmore E, Murray J. Functional brain networks reflect spatial and temporal autocorrelation. Nature Neuroscience 2023, 26: 867-878. PMID: 37095399, DOI: 10.1038/s41593-023-01299-3.
Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performanceJu S, Horien C, Shen X, Abuwarda H, Trainer A, Constable R, Fredericks C. Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performance. Frontiers In Dementia 2023, 2: 1126016. DOI: 10.3389/frdem.2023.1126016.
Predicting depressed and elevated mood symptomatology in bipolar disorder using brain functional connectomes.Sankar A, Shen X, Colic L, Goldman D, Villa L, Kim J, Pittman B, Scheinost D, Constable R, Blumberg H. Predicting depressed and elevated mood symptomatology in bipolar disorder using brain functional connectomes. Psychological Medicine 2023, 1-10. PMID: 36891769, PMCID: PMC10491744, DOI: 10.1017/s003329172300003x.
Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among childrenLin H, Haider S, Kaltenhauser S, Mozayan A, Malhotra A, Constable R, Scheinost D, Ment L, Konrad K, Payabvash S. Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children. Frontiers In Neuroscience 2023, 17: 1138670. PMCID: PMC9992191, DOI: 10.3389/fnins.2023.1138670.
Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among childrenLin H, Haider S, Kaltenhauser S, Mozayan A, Malhotra A, Constable R, Scheinost D, Ment L, Konrad K, Payabvash S. Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children. Frontiers In Neuroscience 2023, 17: 1138670. PMID: 36908780, PMCID: PMC9992191, DOI: 10.3389/fnins.2023.1138670.
A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youthHorien C, Greene A, Shen X, Fortes D, Brennan-Wydra E, Banarjee C, Foster R, Donthireddy V, Butler M, Powell K, Vernetti A, Mandino F, O'Connor D, Lake E, McPartland J, Volkmar F, Chun M, Chawarska K, Rosenberg M, Scheinost D, Constable R. A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth. Cerebral Cortex 2022, 33: 6320-6334. PMID: 36573438, PMCID: PMC10183743, DOI: 10.1093/cercor/bhac506.
Sex differences in default mode network connectivity in healthy aging adultsFicek-Tani B, Horien C, Ju S, Xu W, Li N, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in default mode network connectivity in healthy aging adults. Cerebral Cortex 2022, 33: 6139-6151. PMID: 36563018, PMCID: PMC10183749, DOI: 10.1093/cercor/bhac491.
Robust prediction of memory and neuroticism in men and women using connectome‐based predictive modelingJu S, Horien C, Constable T, Fredericks C. Robust prediction of memory and neuroticism in men and women using connectome‐based predictive modeling. Alzheimer's & Dementia 2022, 18 DOI: 10.1002/alz.063015.
Fluorescently-tagged magnetic protein nanoparticles for high-resolution optical and ultra-high field magnetic resonance dual-modal cerebral angiographyMishra S, Herman P, Crair M, Constable R, Walsh J, Akif A, Verhagen J, Hyder F. Fluorescently-tagged magnetic protein nanoparticles for high-resolution optical and ultra-high field magnetic resonance dual-modal cerebral angiography. Nanoscale 2022, 14: 17770-17788. PMID: 36437785, PMCID: PMC9850399, DOI: 10.1039/d2nr04878g.
Coordinated anatomical and functional variability in the human brain during adolescenceBero J, Li Y, Kumar A, Humphries C, Nag S, Lee H, Ahn W, Hahn S, Constable R, Kim H, Lee D. Coordinated anatomical and functional variability in the human brain during adolescence. Human Brain Mapping 2022, 44: 1767-1778. PMID: 36479851, PMCID: PMC9921246, DOI: 10.1002/hbm.26173.
Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activityKronemer S, Aksen M, Ding J, Ryu J, Xin Q, Ding Z, Prince J, Kwon H, Khalaf A, Forman S, Jin D, Wang K, Chen K, Hu C, Agarwal A, Saberski E, Wafa S, Morgan O, Wu J, Christison-Lagay K, Hasulak N, Morrell M, Urban A, Todd Constable R, Pitts M, Mark Richardson R, Crowley M, Blumenfeld H. Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activity. Nature Communications 2022, 13: 7342. PMID: 36446792, PMCID: PMC9707162, DOI: 10.1038/s41467-022-35117-4.
Brain grey and white matter structural associations with future suicidal ideation and behaviors in adolescent and young adult females with mood disordersColic L, Villa L, Dauvermann M, Velzen L, Sankar A, Goldman D, Panchal P, Kim J, Quatrano S, Spencer L, Constable R, Suckling J, Goodyer I, Schmaal L, Harmelen A, Blumberg H. Brain grey and white matter structural associations with future suicidal ideation and behaviors in adolescent and young adult females with mood disorders. JCPP Advances 2022, 2 DOI: 10.1002/jcv2.12118.
Brain grey and white matter structural associations with future suicidal ideation and behaviors in adolescent and young adult females with mood disordersColic L, Villa L, Dauvermann M, Velzen L, Sankar A, Goldman D, Panchal P, Kim J, Quatrano S, Spencer L, Constable R, Suckling J, Goodyer I, Schmaal L, Harmelen A, Blumberg H. Brain grey and white matter structural associations with future suicidal ideation and behaviors in adolescent and young adult females with mood disorders. JCPP Advances 2022, 2 PMID: 36817186, PMCID: PMC9937714, DOI: 10.1002/jcv2.12118.
Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell typeO’Connor D, Mandino F, Shen X, Horien C, Ge X, Herman P, Hyder F, Crair M, Papademetris X, Lake E, Constable. Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type. NeuroImage 2022, 264: 119735. PMID: 36347441, PMCID: PMC9808917, DOI: 10.1016/j.neuroimage.2022.119735.
232-OR: Alterations in Decision-Making Neurocircuits during Hypoglycemia in Patients with T1DMDEAJON-JACKSON J, RANGEL E, LACADIE C, GREENE A, BELFORT-DEAGUIAR R, CONSTABLE T, ROTHMAN D, HWANG J. 232-OR: Alterations in Decision-Making Neurocircuits during Hypoglycemia in Patients with T1DM. Diabetes 2022, 71 DOI: 10.2337/db22-232-or.
A Multimodal Imaging Approach to Identify Brain Connectivity Targets for Early Detection, and to Reduce Symptoms and Prevent Progression and Suicide Risk, in Bipolar DisorderGoldman D, Sankar A, Colic L, Villa L, Kim J, Pittman B, Constable R, Scheinost D, Blumberg H. A Multimodal Imaging Approach to Identify Brain Connectivity Targets for Early Detection, and to Reduce Symptoms and Prevent Progression and Suicide Risk, in Bipolar Disorder. Biological Psychiatry 2022, 91: s38-s39. DOI: 10.1016/j.biopsych.2022.02.114.
P350. Brain Structural Covariation Relates Longitudinally to Screen Media Activity and Internalizing Psychopathology in ChildrenZhao Y, Paulus M, Bagot K, Constable R, Potenza M. P350. Brain Structural Covariation Relates Longitudinally to Screen Media Activity and Internalizing Psychopathology in Children. Biological Psychiatry 2022, 91: s228-s229. DOI: 10.1016/j.biopsych.2022.02.586.
Feasibility Analysis of Phenotype Quantification from Unstructured Clinical InteractionsBarron D, Heisig S, Agurto C, Norel R, Quagan B, Powers A, Birnbaum M, Constable T, Cecchi G, Krystal J. Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions. Computational Psychiatry 2022, 6: 1. DOI: 10.5334/cpsy.78.
Fluorescently-Tagged Magnetic Protein Nanoparticles for High-Resolution Optical and Ultra-High Field Magnetic Resonance Dual-Modal Cerebral AngiographyMishra S, Herman P, Crair M, Constable R, Walsh J, Akif A, Verhagen J, Hyder F. Fluorescently-Tagged Magnetic Protein Nanoparticles for High-Resolution Optical and Ultra-High Field Magnetic Resonance Dual-Modal Cerebral Angiography. Nanoscale 2022 DOI: 10.1039/d2nr04878g.
Sex differences in connectivity in the default mode network in healthy aging adultsFicek B, Horien C, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in connectivity in the default mode network in healthy aging adults. Alzheimer's & Dementia 2021, 17 DOI: 10.1002/alz.056050.
Functional Connectivity during Encoding Predicts Individual Differences in Long-Term MemoryLin Q, Yoo K, Shen X, Constable TR, Chun MM. Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory. Journal Of Cognitive Neuroscience 2021, 33: 2279-2296. PMID: 34272957, PMCID: PMC8497062, DOI: 10.1162/jocn_a_01759.
Conditional Functional Graphical ModelsLee K, Ji D, Li L, Constable T, Zhao H. Conditional Functional Graphical Models. Journal Of The American Statistical Association 2021, 118: 257-271. PMID: 37193511, PMCID: PMC10181795, DOI: 10.1080/01621459.2021.1924178.
Using functional connectivity models to characterize relationships between working and episodic memoryStark GF, Avery EW, Rosenberg MD, Greene AS, Gao S, Scheinost D, Constable R, Chun MM, Yoo K. Using functional connectivity models to characterize relationships between working and episodic memory. Brain And Behavior 2021, 11: e02105. PMID: 34142458, PMCID: PMC8413720, DOI: 10.1002/brb3.2105.
A Graph Theoretical Connectome Measure to Assess Whole Brain Functional Connectivity Disturbances Associated With Suicide Attempts in Bipolar DisorderSankar A, Scheinost D, Goldman D, Drachman R, Colic L, Villa L, Kim J, Gonzalez Y, Marcelo I, Shinomiya M, Pittman B, Lacadie C, Oquendo M, Constable R, Blumberg H. A Graph Theoretical Connectome Measure to Assess Whole Brain Functional Connectivity Disturbances Associated With Suicide Attempts in Bipolar Disorder. Biological Psychiatry 2021, 89: s296. DOI: 10.1016/j.biopsych.2021.02.737.
Associations Between Trauma Exposure, Internalizing Symptoms, and Functional Connectivity in YouthSisk L, Conley M, Greene A, Horien C, Rapuano K, Rosenberg M, Scheinost D, Constable R, Casey B, Gee D. Associations Between Trauma Exposure, Internalizing Symptoms, and Functional Connectivity in Youth. Biological Psychiatry 2021, 89: s323-s324. DOI: 10.1016/j.biopsych.2021.02.806.
Individual Differences in the Functional Organization of InfantsScheinost D, Salehi M, Constable R, Spann M. Individual Differences in the Functional Organization of Infants. Biological Psychiatry 2021, 89: s78. DOI: 10.1016/j.biopsych.2021.02.208.
Preliminary Evaluation of Phenotypic Features from Clinical InteractionsBarron D, Heisig S, Agurto C, Norel R, Quagan B, Powers A, Baker J, Constable T, Cecchi G, Krystal J. Preliminary Evaluation of Phenotypic Features from Clinical Interactions. Journal Of Pain 2021, 22: 594. DOI: 10.1016/j.jpain.2021.03.068.
Brainhack: Developing a culture of open, inclusive, community-driven neuroscienceGau R, Noble S, Heuer K, Bottenhorn K, Bilgin I, Yang Y, Huntenburg J, Bayer J, Bethlehem R, Rhoads S, Vogelbacher C, Borghesani V, Levitis E, Wang H, Van Den Bossche S, Kobeleva X, Legarreta J, Guay S, Atay S, Varoquaux G, Huijser D, Sandström M, Herholz P, Nastase S, Badhwar A, Dumas G, Schwab S, Moia S, Dayan M, Bassil Y, Brooks P, Mancini M, Shine J, O’Connor D, Xie X, Poggiali D, Friedrich P, Heinsfeld A, Riedl L, Toro R, Caballero-Gaudes C, Eklund A, Garner K, Nolan C, Demeter D, Barrios F, Merchant J, McDevitt E, Oostenveld R, Craddock R, Rokem A, Doyle A, Ghosh S, Nikolaidis A, Stanley O, Uruñuela E, Community T, Anousheh N, Arnatkeviciute A, Auzias G, Bachar D, Bannier E, Basanisi R, Basavaraj A, Bedini M, Bellec P, Benn R, Berluti K, Bollmann S, Bollmann S, Bradley C, Brown J, Buchweitz A, Callahan P, Chan M, Chandio B, Cheng T, Chopra S, Chung A, Close T, Combrisson E, Cona G, Constable R, Cury C, Dadi K, Damasceno P, Das S, De Vico Fallani F, DeStasio K, Dickie E, Dorfschmidt L, Duff E, DuPre E, Dziura S, Esper N, Esteban O, Fadnavis S, Flandin G, Flannery J, Flournoy J, Forkel S, Franco A, Ganesan S, Gao S, Alanis J, Garyfallidis E, Glatard T, Glerean E, Gonzalez-Castillo J, van Praag C, Greene A, Gupta G, Hahn C, Halchenko Y, Handwerker D, Hartmann T, Hayot-Sasson V, Heunis S, Hoffstaedter F, Hohmann D, Horien C, Ioanas H, Iordan A, Jiang C, Joseph M, Kai J, Karakuzu A, Kennedy D, Keshavan A, Khan A, Kiar G, Klink P, Koppelmans V, Koudoro S, Laird A, Langs G, Laws M, Licandro R, Liew S, Lipic T, Litinas K, Lurie D, Lussier D, Madan C, Mais L, L S, Manzano-Patron J, Maoutsa D, Marcon M, Margulies D, Marinato G, Marinazzo D, Markiewicz C, Maumet C, Meneguzzi F, Meunier D, Milham M, Mills K, Momi D, Moreau C, Motala A, Moxon-Emre I, Nichols T, Nielson D, Nilsonne G, Novello L, O’Brien C, Olafson E, Oliver L, Onofrey J, Orchard E, Oudyk K, Park P, Parsapoor M, Pasquini L, Peltier S, Pernet C, Pienaar R, Pinheiro-Chagas P, Poline J, Qiu A, Quendera T, Rice L, Rocha-Hidalgo J, Rutherford S, Scharinger M, Scheinost D, Shariq D, Shaw T, Siless V, Simmonite M, Sirmpilatze N, Spence H, Sprenger J, Stajduhar A, Szinte M, Takerkart S, Tam A, Tejavibulya L, de Schotten M, Thome I, da Silva L, Traut N, Uddin L, Vallesi A, VanMeter J, Vijayakumar N, di Oleggio Castello M, Vohryzek J, Vukojević J, Whitaker K, Whitmore L, Wideman S, Witt S, Xie H, Xu T, Yan C, Yeh F, Yeo B, Zuo X. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience. Neuron 2021, 109: 1769-1775. PMID: 33932337, PMCID: PMC9153215, DOI: 10.1016/j.neuron.2021.04.001.
Corrigendum to “Behavioral and brain signatures of substance use vulnerability in childhood” [Developmental Cognitive Neuroscience 46 (December) (2020) 100878]Rapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Constable R, Casey BJ. Corrigendum to “Behavioral and brain signatures of substance use vulnerability in childhood” [Developmental Cognitive Neuroscience 46 (December) (2020) 100878]. Developmental Cognitive Neuroscience 2020, 47: 100891. PMID: 33309003, PMCID: PMC7838042, DOI: 10.1016/j.dcn.2020.100891.
Increased connectivity in several bilateral frontal and fronto‐parietal networks predicts depressive symptoms in mid‐ to late‐life diabeticsSalardini A, Shen X, Hashemi‐Aghdam A, Laltoo E, Savoia S, Tokoglu F, Constable T. Increased connectivity in several bilateral frontal and fronto‐parietal networks predicts depressive symptoms in mid‐ to late‐life diabetics. Alzheimer's & Dementia 2020, 16 DOI: 10.1002/alz.043619.
Behavioral and brain signatures of substance use vulnerability in childhoodRapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Constable R, Casey BJ. Behavioral and brain signatures of substance use vulnerability in childhood. Developmental Cognitive Neuroscience 2020, 46: 100878. PMID: 33181393, PMCID: PMC7662869, DOI: 10.1016/j.dcn.2020.100878.
1994-P: Task-Oriented Connectivity Analysis of Disease-Dependent Effects of DietWATT C, STANLEY T, LACADIE C, LAM K, SAVOYE M, SINHA R, CONSTABLE T, SEO D, HWANG J, BELFORT-DEAGUIAR R. 1994-P: Task-Oriented Connectivity Analysis of Disease-Dependent Effects of Diet. Diabetes 2020, 69 DOI: 10.2337/db20-1994-p.
Identifying Individual Differences in the Functional Organization of the Neonatal BrainScheinost D, Salehi M, Constable R, Spann M. Identifying Individual Differences in the Functional Organization of the Neonatal Brain. Biological Psychiatry 2020, 87: s82. DOI: 10.1016/j.biopsych.2020.02.231.
Mood State Differences in Intrinsic Connectivity Distribution of Adolescents and Young Adults With Bipolar DisorderGoldman D, Sankar A, Colic L, Spencer L, Lacadie C, Scheinost D, Constable R, Blumberg H. Mood State Differences in Intrinsic Connectivity Distribution of Adolescents and Young Adults With Bipolar Disorder. Biological Psychiatry 2020, 87: s416-s417. DOI: 10.1016/j.biopsych.2020.02.1063.
Preliminary Phenotypic Feature Capture During Clinical InteractionBarron D, Heisig S, Norel R, Agurto C, Quagan B, Powers A, Baker J, Constable R, Cecchi G, Krystal J. Preliminary Phenotypic Feature Capture During Clinical Interaction. Biological Psychiatry 2020, 87: s212-s213. DOI: 10.1016/j.biopsych.2020.02.552.
What Can Machine Learning Do for Psychiatry?Barron D, Bzdok D, Krystal J, Constable R. What Can Machine Learning Do for Psychiatry? Biological Psychiatry 2020, 87: s462. DOI: 10.1016/j.biopsych.2020.02.1176.
Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic painMakary MM, Polosecki P, Cecchi GA, DeAraujo IE, Barron DS, Constable TR, Whang PG, Thomas DA, Mowafi H, Small DM, Geha P. Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 10015-10023. PMID: 32312809, PMCID: PMC7211984, DOI: 10.1073/pnas.1918682117.
Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired IndividualsAvery EW, Yoo K, Rosenberg MD, Greene AS, Gao S, Na DL, Scheinost D, Constable TR, Chun MM. Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. Journal Of Cognitive Neuroscience 2020, 32: 241-255. PMID: 31659926, PMCID: PMC8004893, DOI: 10.1162/jocn_a_01487.
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation AnalysisGao S, Shen X, Todd Constable R, Scheinost D. Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. 2019, 11766: 772-780. DOI: 10.1007/978-3-030-32248-9_86.
Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes.Parikh L, Seo D, Lacadie C, Belfort-Deaguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Todd Constable R, Sherwin R, Hwang JJ. Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes. The Journal Of Clinical Endocrinology & Metabolism 2019, 105: 1-13. PMID: 31511876, PMCID: PMC6936965, DOI: 10.1210/clinem/dgz004.
Differential resting state connectivity responses to glycemic state in type 1 diabetesParikh L, Seo D, Lacadie C, Belfort-DeAguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Constable R, Sherwin R, Hwang J. Differential resting state connectivity responses to glycemic state in type 1 diabetes. The Journal Of Clinical Endocrinology & Metabolism 2019 DOI: 10.1210/jcem/dgz004.
Trim71 Links an Ancient MicroRNA Pathway to Neural Stem Cell Development and Human Congenital HydrocephalusPhan D, Foster D, Jux B, Lake E, Constable T, Kolanus W, Slack F, Kahle K. Trim71 Links an Ancient MicroRNA Pathway to Neural Stem Cell Development and Human Congenital Hydrocephalus. Neurosurgery 2019, 66: 310-649. DOI: 10.1093/neuros/nyz310_649.
275-LB: Connectome Predictive Modeling May Identify Brain Connectivity Signatures to Help Predict Who Will Benefit from Low-Calorie DietGROSKREUTZ D, LAM W, LACADIE C, ELSHAFIE A, HWANG J, SEO D, SAVOYE M, SINHA R, CONSTABLE T, SHERWIN R, BELFORT-DEAGUIAR R. 275-LB: Connectome Predictive Modeling May Identify Brain Connectivity Signatures to Help Predict Who Will Benefit from Low-Calorie Diet. Diabetes 2019, 68 DOI: 10.2337/db19-275-lb.
S179. Transdiagnostic Prediction of Memory and Executive Function From Whole-Brain Functional ConnectivityBarron D, Gao S, Greene A, Constable R, Krystal J, Scheinost D. S179. Transdiagnostic Prediction of Memory and Executive Function From Whole-Brain Functional Connectivity. Biological Psychiatry 2019, 85: s366-s367. DOI: 10.1016/j.biopsych.2019.03.930.
The individual functional connectome is unique and stable over months to yearsHorien C, Shen X, Scheinost D, Constable RT. The individual functional connectome is unique and stable over months to years. NeuroImage 2019, 189: 676-687. PMID: 30721751, PMCID: PMC6422733, DOI: 10.1016/j.neuroimage.2019.02.002.
Multisite reliability and repeatability of an advanced brain MRI protocolSchwartz DL, Tagge I, Powers K, Ahn S, Bakshi R, Calabresi PA, Constable R, Grinstead J, Henry RG, Nair G, Papinutto N, Pelletier D, Shinohara R, Oh J, Reich DS, Sicotte NL, Rooney WD, Cooperative O. Multisite reliability and repeatability of an advanced brain MRI protocol. Journal Of Magnetic Resonance Imaging 2019, 50: 878-888. PMID: 30652391, PMCID: PMC6636359, DOI: 10.1002/jmri.26652.
Chapter 4 The uniqueness of the individual functional connectomeHorien C, Scheinost D, Constable R. Chapter 4 The uniqueness of the individual functional connectome. 2019, 63-81. DOI: 10.1016/b978-0-12-813838-0.00004-2.
AbstractCabrejo R, Lacadie C, Chuang C, Yang J, Sun A, Brooks E, Beckett J, Gabrick K, Steinbacher D, Alperovich M, Pelphrey K, Constable T, Persing J. Abstract. Plastic & Reconstructive Surgery Global Open 2018, 6: 31-32. PMCID: PMC6212096, DOI: 10.1097/01.gox.0000546753.43709.2d.
Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive ModelsGao S, Greene A, Todd Constable R, Scheinost D. Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. 2018, 11072: 349-356. DOI: 10.1007/978-3-030-00931-1_40.
Task-induced brain state manipulation improves prediction of individual traitsGreene AS, Gao S, Scheinost D, Constable RT. Task-induced brain state manipulation improves prediction of individual traits. Nature Communications 2018, 9: 2807. PMID: 30022026, PMCID: PMC6052101, DOI: 10.1038/s41467-018-04920-3.
Short-Term Weight Loss Undermines Brain Regulation of Food ConsumptionLAM W, SEO D, LACADIE C, SCHMIDT C, ROSENBERG S, HOANG H, HWANG J, CONSTABLE T, SAVOYE M, SINHA R, SHERWIN R, BELFORT-DEAGUIAR R. Short-Term Weight Loss Undermines Brain Regulation of Food Consumption. Diabetes 2018, 67 DOI: 10.2337/db18-1802-p.
Hypoglycemia Unawareness in T1DM Is Associated with Altered Brain Default Mode Network ConnectivityGROSKREUTZ D, HWANG J, SEO D, LACADIE C, PARIKH L, BELFORT-DEAGUIAR R, SCHEINOST D, SINHA R, CONSTABLE T, SHERWIN R. Hypoglycemia Unawareness in T1DM Is Associated with Altered Brain Default Mode Network Connectivity. Diabetes 2018, 67 DOI: 10.2337/db18-11-lb.
Hyperinsulinemia Invokes Greater Brain Perfusion in Reward and Motivation Regions in ObesityGROSKREUTZ D, SINHA R, LACADIE C, LAM W, HAMZA M, SCHMIDT C, SEO D, HWANG J, BELFORT-DEAGUIAR R, LEVENTHAL J, ROSENBERG S, PARIKH L, CONSTABLE T, SHERWIN R, JASTREBOFF A. Hyperinsulinemia Invokes Greater Brain Perfusion in Reward and Motivation Regions in Obesity. Diabetes 2018, 67 DOI: 10.2337/db18-365-or.
79. Transdiagnostic Prediction of Memory and Cognitive Abilities From Functional Connectivity Data: A Multidimensional Connectome-Based Predictive Modeling StudyScheinost D, Gao S, Greene A, Constable R. 79. Transdiagnostic Prediction of Memory and Cognitive Abilities From Functional Connectivity Data: A Multidimensional Connectome-Based Predictive Modeling Study. Biological Psychiatry 2018, 83: s33. DOI: 10.1016/j.biopsych.2018.02.096.
98. Effects of Childhood Maltreatment on Neural and Biobehavioral Biomarkers of Relapse and Recovery in Substance Use DisordersSinha R, Seo D, Lacadie C, Constable T, Hermes G. 98. Effects of Childhood Maltreatment on Neural and Biobehavioral Biomarkers of Relapse and Recovery in Substance Use Disorders. Biological Psychiatry 2018, 83: s40. DOI: 10.1016/j.biopsych.2018.02.116.
S142. A Predictive Approach to Identify Clinical State, Emotional Valence and Pharmacologic Effect in Human Task-Based fMRI DataBarron D, Salehi M, Browning M, Harmer C, Constable T, Duff E. S142. A Predictive Approach to Identify Clinical State, Emotional Valence and Pharmacologic Effect in Human Task-Based fMRI Data. Biological Psychiatry 2018, 83: s403. DOI: 10.1016/j.biopsych.2018.02.1034.
Abstract QS54Cabrejo R, Lacadie C, Chuang C, Yang J, Sun A, Brooks E, Beckett J, Gabrick K, Steinbacher D, Alperovich M, Pelphrey K, Constable T, Persing J. Abstract QS54. Plastic & Reconstructive Surgery Global Open 2018, 6: 150-151. PMCID: PMC5959542, DOI: 10.1097/01.gox.0000534062.99092.61.
Task Integration for Connectome-Based Prediction Via Canonical Correlation AnalysisGao S, Greene A, Constable R, Scheinost D. Task Integration for Connectome-Based Prediction Via Canonical Correlation Analysis. 2018, 87-91. DOI: 10.1109/isbi.2018.8363529.
Connectome-based Models Predict Separable Components of Attention in Novel IndividualsRosenberg MD, Hsu WT, Scheinost D, Constable R, Chun MM. Connectome-based Models Predict Separable Components of Attention in Novel Individuals. Journal Of Cognitive Neuroscience 2017, 30: 160-173. PMID: 29040013, DOI: 10.1162/jocn_a_01197.
Complement Coercion as the Processing of Aspectual Verbs: Evidence from Self-paced Reading and fMRILai Y, Lacadie C, Constable T, Deo A, Piñango M. Complement Coercion as the Processing of Aspectual Verbs: Evidence from Self-paced Reading and fMRI. 2017, 3: 191-222. DOI: 10.1007/978-3-319-45977-6_8.
A Submodular Approach to Create Individualized Parcellations of the Human BrainSalehi M, Karbasi A, Scheinost D, Constable R. A Submodular Approach to Create Individualized Parcellations of the Human Brain. 2017, 10433: 478-485. DOI: 10.1007/978-3-319-66182-7_55.
Can brain state be manipulated to emphasize individual differences in functional connectivity?Finn ES, Scheinost D, Finn DM, Shen X, Papademetris X, Constable RT. Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage 2017, 160: 140-151. PMID: 28373122, PMCID: PMC8808247, DOI: 10.1016/j.neuroimage.2017.03.064.
Topographic organization of the cerebral cortex and brain cartographyEickhoff SB, Constable RT, Yeo BT. Topographic organization of the cerebral cortex and brain cartography. NeuroImage 2017, 170: 332-347. PMID: 28219775, PMCID: PMC5563483, DOI: 10.1016/j.neuroimage.2017.02.018.
Using connectome-based predictive modeling to predict individual behavior from brain connectivityShen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.
14 Microstructural and Functional Connectivity in the Developing BrainMent L, Scheinost D, Constable T. 14 Microstructural and Functional Connectivity in the Developing Brain. 2017, 97-106. DOI: 10.1016/b978-0-323-37101-8.00014-x.
Reorganization of brain connectivity in obesityGeha P, Cecchi G, Constable R, Abdallah C, Small DM. Reorganization of brain connectivity in obesity. Human Brain Mapping 2016, 38: 1403-1420. PMID: 27859973, PMCID: PMC6866793, DOI: 10.1002/hbm.23462.
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric diseaseFinn E, Constable R. Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease. Dialogues In Clinical Neuroscience 2016, 18: 277-287. PMID: 27757062, PMCID: PMC5067145, DOI: 10.31887/dcns.2016.18.3/efinn.
Language at rest: A longitudinal study of intrinsic functional connectivity in preterm childrenRowlands MA, Scheinost D, Lacadie C, Vohr B, Li F, Schneider KC, Constable R, Ment LR. Language at rest: A longitudinal study of intrinsic functional connectivity in preterm children. NeuroImage Clinical 2016, 11: 149-157. PMID: 26937383, PMCID: PMC4753807, DOI: 10.1016/j.nicl.2016.01.016.
Diffusion Tensor Imaging in Patients with Glioblastoma Multiforme Using the Supertoroidal ModelMekkaoui C, Metellus P, Kostis W, Martuzzi R, Pereira F, Beregi J, Reese T, Constable T, Jackowski M. Diffusion Tensor Imaging in Patients with Glioblastoma Multiforme Using the Supertoroidal Model. PLOS ONE 2016, 11: e0146693. PMID: 26761637, PMCID: PMC4711969, DOI: 10.1371/journal.pone.0146693.
Sex differences in intrinsic connectivity during FMRI stroop in cocaine-dependent and healthy comparison subjectsMitchell M, DeVito E, Balodis I, Lacadie C, Scheinost D, Constable R, Malison R, Carroll K, Potenza M. Sex differences in intrinsic connectivity during FMRI stroop in cocaine-dependent and healthy comparison subjects. Drug And Alcohol Dependence 2015, 156: e154. DOI: 10.1016/j.drugalcdep.2015.07.419.
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivityFinn ES, Shen X, Scheinost D, Rosenberg MD, Huang J, Chun MM, Papademetris X, Constable RT. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience 2015, 18: 1664-1671. PMID: 26457551, PMCID: PMC5008686, DOI: 10.1038/nn.4135.
Radiofrequency pulse design using nonlinear gradient magnetic fieldsKopanoglu E, Constable R. Radiofrequency pulse design using nonlinear gradient magnetic fields. Magnetic Resonance In Medicine 2015, 74: spcone-spcone. DOI: 10.1002/mrm.25909.
Accelerate Single-Shot Data Acquisitions Using Compressed Sensing and Fronsac ImagingWang H, Constable R, Galiana G. Accelerate Single-Shot Data Acquisitions Using Compressed Sensing and Fronsac Imaging. 2015, 1252-1255. DOI: 10.1109/isbi.2015.7164101.
Methodological Issues in fMRI Functional Connectivity and Network AnalysisFinn E, Scheinost D, Shen X, Papademetris X, Constable R. Methodological Issues in fMRI Functional Connectivity and Network Analysis. 2015, 697-704. DOI: 10.1016/b978-0-12-397025-1.00352-3.
MRI and fMRI Optimizations and ApplicationsCiris P, Constable R. MRI and fMRI Optimizations and Applications. 2015, 183-190. DOI: 10.1016/b978-0-12-397025-1.00021-x.
Challenges in fMRI and Its LimitationsConstable R. Challenges in fMRI and Its Limitations. 2014, 51-69. DOI: 10.1007/978-1-4939-1995-6_4.
Functional Connectivity MR ImagingHampson M, Shen X, Constable R. Functional Connectivity MR Imaging. 2014, 83-104. DOI: 10.1007/978-1-4939-1995-6_6.
Predicting moment-to-moment attentional stateRosenberg M, Finn E, Constable R, Chun M. Predicting moment-to-moment attentional state. Journal Of Vision 2014, 14: 634-634. DOI: 10.1167/14.10.634.
Accelerate Data Acquisition using Turbo Spin Echo and O-SpaceWang H, Tam L, Kopanoglu E, Peters D, Constable R, Galiana G. Accelerate Data Acquisition using Turbo Spin Echo and O-Space. 2014, 874-877. DOI: 10.1109/isbi.2014.6868010.
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired DataScheinost D, Shen X, Finn E, Sinha R, Constable R, Papademetris X. Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. 2013, 219-227. DOI: 10.1007/978-3-319-02475-2_20.
Cardiac cine with ART for radial parallel imaging reconstructionLi S, Galiana G, Tam L, Kozerke S, Stockmann J, Constable R, Peters D. Cardiac cine with ART for radial parallel imaging reconstruction. Journal Of Cardiovascular Magnetic Resonance 2013, 15: e34. PMCID: PMC3559413, DOI: 10.1186/1532-429x-15-s1-e34.
Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination AnxietyHampson M, Stoica T, Saksa J, Scheinost D, Qiu M, Bhawnani J, Pittenger C, Papademetris X, Constable T. Real-time fMRI Biofeedback Targeting the Orbitofrontal Cortex for Contamination Anxiety. Journal Of Visualized Experiments 2012 DOI: 10.3791/3535-v.
Challenges in fMRI and Its LimitationsConstable R. Challenges in fMRI and Its Limitations. 2011, 331-344. DOI: 10.1007/978-1-4419-0345-7_19.
Functional Connectivity MR ImagingHampson M, Shen X, Constable R. Functional Connectivity MR Imaging. 2011, 355-371. DOI: 10.1007/978-1-4419-0345-7_21.
SU‐GG‐J‐150: Analyses of Multiple Q‐Sampled Diffusion Tensor Amplitudes for Pseudoprogressive GBMChu A, Knisely J, Constable R, Fulbright R, Nath R. SU‐GG‐J‐150: Analyses of Multiple Q‐Sampled Diffusion Tensor Amplitudes for Pseudoprogressive GBM. Medical Physics 2010, 37: 3180-3180. DOI: 10.1118/1.3468373.
Challenges in fMRI and Its LimitationsConstable R. Challenges in fMRI and Its Limitations. 2010, 71-92. DOI: 10.1007/978-1-4419-1329-6_4.
Les coils d’angiographie en résonnance magnétique implantés chirurgicalement améliorent la résolution et permettent la visualisation dynamique du flux sanguinFitzgerald T, Muto A, Fancher T, Brown P, Martin K, Muhs B, Rothman D, Constable R, Sampath S, Dardik A. Les coils d’angiographie en résonnance magnétique implantés chirurgicalement améliorent la résolution et permettent la visualisation dynamique du flux sanguin. Annales De Chirurgie Vasculaire 2010, 24: 266-277. DOI: 10.1016/j.acvfr.2010.09.010.
Technical Comparison of ARTOP/ADC as a Clinical Treatment Response PredictorChu A, Knisely J, Fulbright R, Constable R, Nath R. Technical Comparison of ARTOP/ADC as a Clinical Treatment Response Predictor. International Journal Of Radiation Oncology • Biology • Physics 2009, 75: s614. DOI: 10.1016/j.ijrobp.2009.07.1404.
Q Space Analysis of Glioma Diffusion Tensor Imaging (DTI) for Treatment Response MonitoringKnisely J, Chu A, Fulbright R, Constable R. Q Space Analysis of Glioma Diffusion Tensor Imaging (DTI) for Treatment Response Monitoring. International Journal Of Radiation Oncology • Biology • Physics 2009, 75: s245. DOI: 10.1016/j.ijrobp.2009.07.564.
Voxel Based Intrinsic Connectivity Changes with AgeTokoglu F, Hampson M, Constable R. Voxel Based Intrinsic Connectivity Changes with Age. NeuroImage 2009, 47: s60. DOI: 10.1016/s1053-8119(09)70273-3.
Intrinsic Connectivity Contrast: A Voxel Level Summary of Tissue ConnectivityConstable, Hara Y, Tokoglu F, Papademetris X. Intrinsic Connectivity Contrast: A Voxel Level Summary of Tissue Connectivity. NeuroImage 2009, 47: s186. DOI: 10.1016/s1053-8119(09)72066-x.
Pancreatic perfusion of healthy individuals and type 1 diabetic patients as assessed by magnetic resonance perfusion imagingHirshberg B, Qiu M, Cali AM, Sherwin R, Constable T, Calle RA, Tal MG. Pancreatic perfusion of healthy individuals and type 1 diabetic patients as assessed by magnetic resonance perfusion imaging. Diabetologia 2009, 52: 1561. PMID: 19488737, DOI: 10.1007/s00125-009-1406-8.
Language lateralization in epilepsy patients: fMRI validated with the Wada procedureArora J, Pugh K, Westerveld M, Spencer S, Spencer DD, Constable R. Language lateralization in epilepsy patients: fMRI validated with the Wada procedure. Epilepsia 2009, 50: 2225-2241. PMID: 19490042, DOI: 10.1111/j.1528-1167.2009.02136.x.
SU‐FF‐J‐134: Slow Diffusion Enhancement for Approximated Returning to the Origin Probability (ARTOP)Chu A, Knisely J, Constable R, Fulbright R, Nath R. SU‐FF‐J‐134: Slow Diffusion Enhancement for Approximated Returning to the Origin Probability (ARTOP). Medical Physics 2009, 36: 2507-2507. DOI: 10.1118/1.3181426.
SU‐FF‐J‐140: Multiple Aspects of Approximated‐Returning‐To‐The‐Origin Probability (ARTOP) Diffusion Tensor Imaging for Better Observation High‐Graded Gliomas Treatment ResponsesChu A, Knisely J, Fulbright R, Constable R, Nath R. SU‐FF‐J‐140: Multiple Aspects of Approximated‐Returning‐To‐The‐Origin Probability (ARTOP) Diffusion Tensor Imaging for Better Observation High‐Graded Gliomas Treatment Responses. Medical Physics 2009, 36: 2509-2509. DOI: 10.1118/1.3181432.
Caractérisation du tenseur de diffusion basée sur un modèle toroïdal : application à la structure cérébrale et perspectivesMétellus P, Mekkaoui C, Todd A, Constable R, Jackowski M. Caractérisation du tenseur de diffusion basée sur un modèle toroïdal : application à la structure cérébrale et perspectives. Neurochirurgie 2008, 54: 682-683. DOI: 10.1016/j.neuchi.2008.08.054.
Approximated Returning-to-origin Probability Diffusion Imaging for Better Observation of Radiation Treatment Response of High-grade GliomaChu A, Knisely J, Fulbright R, Constable R, Nath R. Approximated Returning-to-origin Probability Diffusion Imaging for Better Observation of Radiation Treatment Response of High-grade Glioma. International Journal Of Radiation Oncology • Biology • Physics 2008, 72: s536. DOI: 10.1016/j.ijrobp.2008.06.075.
Surgically implantable magnetic resonance angiography coils improve resolution to allow visualization of blood flow dynamicsFitzgerald T, Muto A, Fancher T, Brown P, Martin K, Muhs B, Rothman D, Constable R, Sampath S, Dardik A. Surgically implantable magnetic resonance angiography coils improve resolution to allow visualization of blood flow dynamics. Journal Of The American College Of Surgeons 2008, 207: s113. DOI: 10.1016/j.jamcollsurg.2008.06.292.
SU‐GG‐I‐125: Treatment Responses Monitored by Estimated Returning‐To‐Origin Probability for Clinical High Diffusion ImageChu A, Knisely J, Fulbright R, Constable R, Nath R. SU‐GG‐I‐125: Treatment Responses Monitored by Estimated Returning‐To‐Origin Probability for Clinical High Diffusion Image. Medical Physics 2008, 35: 2670-2671. DOI: 10.1118/1.2961523.
VASO‐based calculations of CBV change: Accounting for the dynamic CSF volumeScouten A, Constable R. VASO‐based calculations of CBV change: Accounting for the dynamic CSF volume. Magnetic Resonance In Medicine 2008, 59: 308-315. PMID: 18228581, PMCID: PMC2737703, DOI: 10.1002/mrm.21427.
Additive effects of serotonin transporter and tryptophan hydroxylase-2 gene variation on neural correlates of affective processingCanli T, Congdon E, Constable R, Lesch K. Additive effects of serotonin transporter and tryptophan hydroxylase-2 gene variation on neural correlates of affective processing. Biological Psychology 2008, 79: 118-125. PMID: 18314252, DOI: 10.1016/j.biopsycho.2008.01.004.
Correction to Haas, Omura, Constable, and Canli (2007)Haas B, Omura K, Constable R, Canli T. Correction to Haas, Omura, Constable, and Canli (2007). Behavioral Neuroscience 2007, 121: 1173-1173. DOI: 10.1037/0735-7044.121.6.1173.
Early Detection of Glioblastoma Multiforme Treatment Response Using Magnetic Resonance Imaging Assisted by Slow Water Diffusion MappingChu A, Knisely J, Constable R, Fulbright R, Nath R. Early Detection of Glioblastoma Multiforme Treatment Response Using Magnetic Resonance Imaging Assisted by Slow Water Diffusion Mapping. International Journal Of Radiation Oncology • Biology • Physics 2007, 69: s635. DOI: 10.1016/j.ijrobp.2007.07.1970.
Sex differences in the functional organization of the brain for languageShaywitz B, Shaywitz S, Pugh K, Constable R, Skudlarski P, Fulbright R, Bronen R, Fletcher J, Shankweiler D, Katz L, Gore J. Sex differences in the functional organization of the brain for language. 2007, 591-594. DOI: 10.7551/mitpress/7458.003.0090.
Applications and limitations of whole‐brain MAGIC VASO functional imagingScouten A, Constable R. Applications and limitations of whole‐brain MAGIC VASO functional imaging. Magnetic Resonance In Medicine 2007, 58: 306-315. PMID: 17654574, PMCID: PMC2673534, DOI: 10.1002/mrm.21273.
Dynamic CSF Fraction and MAGIC VASO fMRI [PDF Not Yet Available In IEEE Xplore]Scouten A, Constable R. Dynamic CSF Fraction and MAGIC VASO fMRI [PDF Not Yet Available In IEEE Xplore]. 2011 IEEE 37th Annual Northeast Bioengineering Conference (NEBEC) 2007, 62-62. DOI: 10.1109/nebc.2007.4413280.
Brain Connectivity Related to Working Memory PerformanceHampson M, Driesen NR, Skudlarski P, Gore JC, Constable RT. Brain Connectivity Related to Working Memory Performance. Journal Of Neuroscience 2006, 26: 13338-13343. PMID: 17182784, PMCID: PMC2677699, DOI: 10.1523/jneurosci.3408-06.2006.
Connectivity–behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading abilityHampson M, Tokoglu F, Sun Z, Schafer RJ, Skudlarski P, Gore JC, Constable RT. Connectivity–behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading ability. NeuroImage 2006, 31: 513-519. PMID: 16497520, DOI: 10.1016/j.neuroimage.2005.12.040.
Development of a Research Interface for Image Guided Intervention: Initial Application to Epilepsy NeurosurgeryPapademetris X, Vives K, DiStasio M, Staib L, Neff M, Flossman S, Frielinghaus N, Zaveri H, Novotny E, Blumenfeld H, Constable R, Hetherington H, Duckrow R, Spencer S, Spencer D, Duncan J. Development of a Research Interface for Image Guided Intervention: Initial Application to Epilepsy Neurosurgery. 2006, 490-493. DOI: 10.1109/isbi.2006.1624960.
Challenges in fMRI and Its LimitationsConstable R. Challenges in fMRI and Its Limitations. 2006, 75-98. DOI: 10.1007/0-387-34665-1_4.
Spatial resolution, signal-to-noise ratio, and smoothing in multi-subject functional MRI studiesScouten A, Papademetris X, Constable R. Spatial resolution, signal-to-noise ratio, and smoothing in multi-subject functional MRI studies. NeuroImage 2005, 30: 787-793. PMID: 16343951, DOI: 10.1016/j.neuroimage.2005.10.022.
Amygdala gray matter concentration is associated with extraversion and neuroticismOmura K, Constable R, Canli T. Amygdala gray matter concentration is associated with extraversion and neuroticism. Neuroreport 2005, 16: 1905-1908. PMID: 16272876, DOI: 10.1097/01.wnr.0000186596.64458.76.
Amygdala responsiveness is modulated by tryptophan hydroxylase-2 gene variationCanli T, Congdon E, Gutknecht L, Constable R, Lesch K. Amygdala responsiveness is modulated by tryptophan hydroxylase-2 gene variation. Journal Of Neural Transmission 2005, 112: 1479-1485. PMID: 16245070, DOI: 10.1007/s00702-005-0391-4.
Sevoflurane 0.25 MAC Affects Association Cortex More Than Primary Cortex - fMRI Study in VolunteersRamani R, Qiu M, Shulman R, Hyder F, Constable R. Sevoflurane 0.25 MAC Affects Association Cortex More Than Primary Cortex - fMRI Study in Volunteers. Journal Of Neurosurgical Anesthesiology 2005, 17: 242-243. DOI: 10.1097/01.ana.0000187752.71537.c3.
Disturbed Coupling of rCBF, BOLD and CMRO2 in the Presence of Stimuli During Anesthesia As Revealed by Simultaneous BOLD and CBF Functional Magnetic Resonance ImagingQiu M, Ramani R, Shulman R, Hyder F, Rajeevan N, Constable R. Disturbed Coupling of rCBF, BOLD and CMRO2 in the Presence of Stimuli During Anesthesia As Revealed by Simultaneous BOLD and CBF Functional Magnetic Resonance Imaging. Journal Of Neurosurgical Anesthesiology 2005, 17: 224-225. DOI: 10.1097/01.ana.0000187715.47773.67.
Neural correlates of temporal-order judgments versus those of spatial-location: Deactivation of hippocampus may facilitate spatial performanceRekkas P, Westerveld M, Skudlarski P, Zumer J, Pugh K, Spencer D, Constable R. Neural correlates of temporal-order judgments versus those of spatial-location: Deactivation of hippocampus may facilitate spatial performance. Brain And Cognition 2005, 59: 103-113. PMID: 16169136, DOI: 10.1016/j.bandc.2005.05.013.
BioImage Suite: An integrated medical image analysis suitePapademetris X, Jackowski M, Rajeevan N, Constable R, Staib L. BioImage Suite: An integrated medical image analysis suite. Insight Journal 2005 DOI: 10.54294/vb5z20.
Brain Tissue Segmentation Based on Corrected Gray-Scale AnalysisWang J, Qiu M, Papademetris X, Constable R. Brain Tissue Segmentation Based on Corrected Gray-Scale Analysis. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2005, 2005: 3027-3030. PMID: 17282881, DOI: 10.1109/iembs.2005.1617112.
Effect of 0.2MAC Sevoflurane on Regional CBFRamani R, Qiu M, Hoefner E, Shulman R, Constable R. Effect of 0.2MAC Sevoflurane on Regional CBF. Journal Of Neurosurgical Anesthesiology 2004, 16: 340-341. DOI: 10.1097/00008506-200410000-00049.
Unexpected recovery of language function after massive left-hemisphere infarct: Coordinated psycholinguistic and neuroimaging studiesShankweiler D, Palumbo L, Ni W, Mencl W, Fulbright R, Pugh K, Constable R, Harris K, Kollia B, Van Dyke J. Unexpected recovery of language function after massive left-hemisphere infarct: Coordinated psycholinguistic and neuroimaging studies. Brain And Language 2004, 91: 181-182. DOI: 10.1016/j.bandl.2004.06.093.
Long‐Term Memory: Do Incremental Signals Reflect Engagement of Cognitive Processes?Meltzer J, Constable R. Long‐Term Memory: Do Incremental Signals Reflect Engagement of Cognitive Processes? 2004, 257-277. DOI: 10.1002/0470020520.ch14.
Attentional bias for valenced stimuli as a function of personality in the dot-probe taskAmin Z, Constable R, Canli T. Attentional bias for valenced stimuli as a function of personality in the dot-probe task. Journal Of Research In Personality 2004, 38: 15-23. DOI: 10.1016/j.jrp.2003.09.011.
Estimation of Anatomical Connectivity by Anisotropic Front Propagation and Diffusion Tensor ImagingJackowski M, Kao C, Qiu M, Constable R, Staib L. Estimation of Anatomical Connectivity by Anisotropic Front Propagation and Diffusion Tensor Imaging. 2004, 3217: 663-670. DOI: 10.1007/978-3-540-30136-3_81.
Heschl's gyrus identification using functional MRI: neurosurgical issue.Carpentier A, Clemenceau S, Constable T, Cornu P, Baulac M, Van Effenterre R. Heschl's gyrus identification using functional MRI: neurosurgical issue. Neurochirurgie 2002, 48: 80-6. PMID: 12053161.
Functional MRI in EpilepsyBinder J, Achten E, Constable R, Detre J, Gaillard W, Jack C, Loring D. Functional MRI in Epilepsy. Epilepsia 2002, 43: 51-63. DOI: 10.1046/j.1528-1157.2002.043s1051.x.
Functional MRI of Language Processing: Dependence on Input Modality and Temporal Lobe EpilepsyCarpentier A, Pugh K, Westerveld M, Studholme C, Skrinjar O, Thompson J, Spencer D, Constable R. Functional MRI of Language Processing: Dependence on Input Modality and Temporal Lobe Epilepsy. Epilepsia 2001, 42: 1241-1254. PMID: 11737158, DOI: 10.1046/j.1528-1157.2001.35500.x.
Repetition time in echo planar functional MRIConstable R, Spencer D. Repetition time in echo planar functional MRI. Magnetic Resonance In Medicine 2001, 46: 748-755. PMID: 11590651, DOI: 10.1002/mrm.1253.
Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance imagesSinusas A, Papademetris X, Constable R, Dione D, Slade M, Shi P, Duncan J. Quantification of 3-D regional myocardial deformation: shape-based analysis of magnetic resonance images. AJP Heart And Circulatory Physiology 2001, 281: h698-h714. PMID: 11454574, DOI: 10.1152/ajpheart.2001.281.2.h698.
The neurobiology of dyslexiaShaywitz B, Shaywitz S, Pugh K, Fulbright R, Mencl W, Constable R, Skudlarski P, Fletcher J, Lyon G, Gore J. The neurobiology of dyslexia. Clinical Neuroscience Research 2001, 1: 291-299. DOI: 10.1016/s1566-2772(01)00015-9.
The Active Elastic ModelPapademetris X, Constable R, Onat E, Duncan J, Sinusas A, Dione D. The Active Elastic Model. 2001, 2082: 36-49. DOI: 10.1007/3-540-45729-1_4.
Neural systems for reading in three groups of young adults followed longitudinally since kindergartenShaywitz B, Shaywitz S, Fulbright R, Skudlarski P, Pugh K, Mencl W, Constable T, Marchione K, Holahan J, Lee J, Jenner A, Fletcher J, Lyon R, Gore J. Neural systems for reading in three groups of young adults followed longitudinally since kindergarten. NeuroImage 2001, 13: 838. DOI: 10.1016/s1053-8119(01)92180-9.
Establishing developmental trajectories and brain/behavior relations in non-impaired and reading disabled childrenPugh K, Shaywitz B, Shaywitz S, Mencl W, Jenner A, Lee J, Fulbright R, Constable R, Skudlarski P, Katz L, Lacadie C, Gore J. Establishing developmental trajectories and brain/behavior relations in non-impaired and reading disabled children. NeuroImage 2001, 13: 589. DOI: 10.1016/s1053-8119(01)91932-9.
Comparison of near infrared optical encephalography and fMRI for assessment of language dominanceKennan R, Constable R. Comparison of near infrared optical encephalography and fMRI for assessment of language dominance. NeuroImage 2001, 13: 22. DOI: 10.1016/s1053-8119(01)91365-5.
Patterns of functional magnetic resonance imaging activation in association with structural lesions in the rolandic region: a classification system.Carpentier A, Constable R, Schlosser M, de Lotbinière A, Piepmeier J, Spencer D, Awad I. Patterns of functional magnetic resonance imaging activation in association with structural lesions in the rolandic region: a classification system. Journal Of Neurosurgery 2001, 94: 946-54. PMID: 11409524, DOI: 10.3171/jns.2001.94.6.0946.
The Functional Neural Architecture of Components of Attention in Language-Processing TasksShaywitz B, Shaywitz S, Pugh K, Fulbright R, Skudlarski P, Mencl W, Constable R, Marchione K, Fletcher J, Klorman R, Lacadie C, Gore J. The Functional Neural Architecture of Components of Attention in Language-Processing Tasks. NeuroImage 2001, 13: 601-612. PMID: 11305889, DOI: 10.1006/nimg.2000.0726.
17.3 Transmyocardial excimer laser revascularization results in improvement of resting myocardial flowBEDAIR H, DIONE D, ARRIGHI J, PAPADEMETRIS X, CONDOS S, CONSTABLE R, DUNCAN J, SOUFER R, SINUSAS A. 17.3 Transmyocardial excimer laser revascularization results in improvement of resting myocardial flow. Journal Of Nuclear Cardiology 2001, 8: s112-s112. DOI: 10.1016/s1071-3581(01)80849-7.
Network analysis of brain activations in working memory: Behavior and age relationshipsMencl W, Pugh K, Shaywitz S, Shaywitz B, Fulbright R, Constable R, Skudlarski P, Katz L, Marchione K, Lacadie C, Gore J. Network analysis of brain activations in working memory: Behavior and age relationships. Microscopy Research And Technique 2000, 51: 64-74. PMID: 11002354, DOI: 10.1002/1097-0029(20001001)51:1<64::aid-jemt7>3.0.co;2-d.
715 Patterns of Motor-fMRI Activation: A Classification of PlasticityCarpentier A, Constable R, Schlosser M, Piepmeier J, Spencer D, Awad I. 715 Patterns of Motor-fMRI Activation: A Classification of Plasticity. Neurosurgery 2000, 47: 503-504. DOI: 10.1097/00006123-200008000-00063.
Investigation of the Human Hippocampal Formation Using a Randomized Event-Related Paradigm and Z-Shimmed Functional MRIConstable R, Carpentier A, Pugh K, Westerveld M, Oszunar Y, Spencer D. Investigation of the Human Hippocampal Formation Using a Randomized Event-Related Paradigm and Z-Shimmed Functional MRI. NeuroImage 2000, 12: 55-62. PMID: 10875902, DOI: 10.1006/nimg.2000.0583.
Phantom-based investigation of nonrigid registration constraints in mapping fMRI to anatomical MRIStudholme C, Constable R, Duncan J. Phantom-based investigation of nonrigid registration constraints in mapping fMRI to anatomical MRI. Proceedings Of SPIE 2000, 3979: 448-457. DOI: 10.1117/12.387706.
Brain/behavior relations in working memoryMencl W, Pugh K, Shaywitz S, Shaywitz B, Fulbright R, Constable R, Skudlarski P, Katz L, Marchione K, Lacadie C, Gore J. Brain/behavior relations in working memory. NeuroImage 2000, 11: s436. DOI: 10.1016/s1053-8119(00)91367-3.
Disruption of posterior brain systems for reading in children with developmental dyslexiaShaywitz B, Shaywitz S, Pugh K, Mencl E, Fulbright R, Constable T, Skudlarski P, Jenner A, Fletcher J, Marchione K, Shankweiler D, Katz L, Lacadie C, Gore J. Disruption of posterior brain systems for reading in children with developmental dyslexia. NeuroImage 2000, 11: s115. DOI: 10.1016/s1053-8119(00)91048-6.
Language processing for different input modalitiesCarpentier A, Pugh K, Studholme C, Spencer D, Constable T. Language processing for different input modalities. NeuroImage 2000, 11: s286. DOI: 10.1016/s1053-8119(00)91218-7.
Patterns of fMRI activations in association with structural lesions in the central sulcus: a classification of plasticityCarpentier A, Constable T, Schlosser M, Piepmeier J, Spencer D, Awad I. Patterns of fMRI activations in association with structural lesions in the central sulcus: a classification of plasticity. NeuroImage 2000, 11: s137. DOI: 10.1016/s1053-8119(00)91070-x.
Evidence of language plasticity in epilepsyCarpentier A, Westerveld M, Pugh K, Skrinjar O, Studholme C, MacCarthy K, Thompson J, Spencer D, Constable T. Evidence of language plasticity in epilepsy. NeuroImage 2000, 11: s287. DOI: 10.1016/s1053-8119(00)91219-9.
Effect of Estrogen on Brain Activation Patterns in Postmenopausal Women During Working Memory TasksShaywitz S, Shaywitz B, Pugh K, Fulbright R, Skudlarski P, Mencl W, Constable R, Naftolin F, Palter S, Marchione K, Katz L, Shankweiler D, Fletcher J, Lacadie C, Keltz M, Gore J. Effect of Estrogen on Brain Activation Patterns in Postmenopausal Women During Working Memory Tasks. Obstetrical & Gynecological Survey 2000, 55: 227-228. DOI: 10.1097/00006254-200004000-00021.
Functional neuroanatomy of executive processes involved in dual-task performanceAdcock R, Constable R, Gore J, Goldman-Rakic P. Functional neuroanatomy of executive processes involved in dual-task performance. Proceedings Of The National Academy Of Sciences Of The United States Of America 2000, 97: 3567-3572. PMID: 10725387, PMCID: PMC16280, DOI: 10.1073/pnas.97.7.3567.
The Angular Gyrus in Developmental Dyslexia: Task-Specific Differences in Functional Connectivity Within Posterior CortexPugh K, Mencl W, Shaywitz B, Shaywitz S, Fulbright R, Constable R, Skudlarski P, Marchione K, Jenner A, Fletcher J, Liberman A, Shankweiler D, Katz L, Lacadie C, Gore J. The Angular Gyrus in Developmental Dyslexia: Task-Specific Differences in Functional Connectivity Within Posterior Cortex. Psychological Science 2000, 11: 51-56. PMID: 11228843, DOI: 10.1111/1467-9280.00214.
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo ValidationPapademetris X, Sinusas A, Dione D, Constable R, Duncan J. Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. 2000, 1935: 678-686. DOI: 10.1007/978-3-540-40899-4_70.
Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion modelStudholme C, Constable R, Duncan J. Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model. IEEE Transactions On Medical Imaging 2000, 19: 1115-1127. PMID: 11204849, DOI: 10.1109/42.896788.
Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion RecoveryShi P, Sinusas A, Constable R, Duncan J. Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery. International Journal Of Computer Vision 1999, 35: 87-107. DOI: 10.1023/a:1008163112590.
An Event-Related fMRI Study of Implicit Phrase-Level Syntactic and Semantic ProcessingKang A, Constable R, Gore J, Avrutin S. An Event-Related fMRI Study of Implicit Phrase-Level Syntactic and Semantic Processing. NeuroImage 1999, 10: 555-561. PMID: 10547332, DOI: 10.1006/nimg.1999.0493.
Composite image formation in z‐shimmed functional MR imagingConstable R, Spencer D. Composite image formation in z‐shimmed functional MR imaging. Magnetic Resonance In Medicine 1999, 42: 110-117. PMID: 10398956, DOI: 10.1002/(sici)1522-2594(199907)42:1<110::aid-mrm15>3.0.co;2-3.
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical ModelsPapademetris X, Shi P, Dione D, Sinusas A, Constable R, Duncan J. Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models. 1999, 1613: 352-357. DOI: 10.1007/3-540-48714-x_28.
Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRIStudholme C, Constable R, Duncan J. Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI. 1999, 1613: 454-459. DOI: 10.1007/3-540-48714-x_45.
ROC Analysis of Statistical Methods Used in Functional MRI: Individual SubjectsSkudlarski P, Constable R, Gore J. ROC Analysis of Statistical Methods Used in Functional MRI: Individual Subjects. NeuroImage 1999, 9: 311-329. PMID: 10075901, DOI: 10.1006/nimg.1999.0402.
Analysis ofJCoupling-Induced Fat Suppression in DIET ImagingStables L, Kennan R, Anderson A, Constable R, Gore J. Analysis ofJCoupling-Induced Fat Suppression in DIET Imaging. Journal Of Magnetic Resonance 1999, 136: 143-151. PMID: 9986756, DOI: 10.1006/jmre.1998.1628.
Brain function in spasmodic dysphonia: A functional MRI studyKumada M, Mencl E, Pugh K, Constable R, Bell‐Berti F, Honorof D, Gracco V. Brain function in spasmodic dysphonia: A functional MRI study. The Journal Of The Acoustical Society Of America 1999, 105: 1247-1247. DOI: 10.1121/1.425983.
Case report of false lateralization using fMRI: Comparison of fMRI language localization, Wada testing, and cortical stimulationWesterveld M, Stoddard K, Spencer D, McCarthy K, Schlosser M, Constable T. Case report of false lateralization using fMRI: Comparison of fMRI language localization, Wada testing, and cortical stimulation. Archives Of Clinical Neuropsychology 1999, 14: 162-163. DOI: 10.1093/arclin/14.1.162b.
THE FUNCTIONAL NEURAL ARCHITECTURE OF COMPONENTS OF ATTENTION IN LANGUAGE PROCESSING TASKSShaywitz B, Shaywitz S, Pugh K, Fulbright R, Constable R, Mencl W, Skudlarski P, Fletcher J, Liberman A, Shankweiler D, Katz L, Marchione K, Lacadie C, Gatenby C, Klorman R, Gore J. THE FUNCTIONAL NEURAL ARCHITECTURE OF COMPONENTS OF ATTENTION IN LANGUAGE PROCESSING TASKS. NeuroImage 1998, 7: s109. DOI: 10.1016/s1053-8119(18)30942-x.
Activation Quantitation and ROI Comparisons in Functional MRIConstable R, Skudlarski P, Mencl E, Pugh K, Fulbright R, Shaywitz S, Shaywitz B. Activation Quantitation and ROI Comparisons in Functional MRI. NeuroImage 1998, 7: s756. DOI: 10.1016/s1053-8119(18)31589-1.
Activation Response to Semantic and Syntactic Anomalies: an fMRI StudyConstable R, Ni W, Mencl E, Pugh K, Fulbright R, Shaywitz S, Shaywitz B, Gore J, Shankweiler D. Activation Response to Semantic and Syntactic Anomalies: an fMRI Study. NeuroImage 1998, 7: s188. DOI: 10.1016/s1053-8119(18)31021-8.
Functional disruption in the organization of the brain for reading in dyslexiaShaywitz S, Shaywitz B, Pugh K, Fulbright R, Constable R, Mencl W, Shankweiler D, Liberman A, Skudlarski P, Fletcher J, Katz L, Marchione K, Lacadie C, Gatenby C, Gore J. Functional disruption in the organization of the brain for reading in dyslexia. Proceedings Of The National Academy Of Sciences Of The United States Of America 1998, 95: 2636-2641. PMID: 9482939, PMCID: PMC19444, DOI: 10.1073/pnas.95.5.2636.
Physical and geometrical modeling for image-based recovery of left ventricular deformationDuncan J, Shi P, Constable T, Sinusas A. Physical and geometrical modeling for image-based recovery of left ventricular deformation. Progress In Biophysics And Molecular Biology 1998, 69: 333-351. PMID: 9785945, DOI: 10.1016/s0079-6107(98)00014-5.
Measurement of the point spread function in MRI using constant time imagingRobson M, Gore J, Constable R. Measurement of the point spread function in MRI using constant time imaging. Magnetic Resonance In Medicine 1997, 38: 733-740. PMID: 9358447, DOI: 10.1002/mrm.1910380509.
Improved activation maps via the elimination of motion effects through time‐domain mixing of data in conventional gradient echo functional MRIConstable R. Improved activation maps via the elimination of motion effects through time‐domain mixing of data in conventional gradient echo functional MRI. Magnetic Resonance In Medicine 1997, 38: 628-637. PMID: 9324330, DOI: 10.1002/mrm.1910380417.
Predicting Reading Performance From Neuroimaging Profiles: The Cerebral Basis of Phonological Effects in Printed Word IdentificationPugh K, Shaywitz B, Shaywitz S, Shankweiler D, Katz L, Fletcher J, Skudlarski P, Fulbright R, Constable R, Bronen R, Lacadie C, Gore J. Predicting Reading Performance From Neuroimaging Profiles: The Cerebral Basis of Phonological Effects in Printed Word Identification. Journal Of Experimental Psychology Human Perception & Performance 1997, 23: 299-318. PMID: 9103996, DOI: 10.1037/0096-1523.23.2.299.
Neuroanatomy of Reading and DyslexiaFulbright R, Shaywitz S, Shaywitz B, Pugh K, Skudlarski P, Constable R, Fletcher J, Liberman A, Shankweiler D, Katz L, Lacadie C, Bronen R, Marchione K, Gore J. Neuroanatomy of Reading and Dyslexia. Child And Adolescent Psychiatric Clinics Of North America 1997, 6: 431-446. DOI: 10.1016/s1056-4993(18)30312-2.
Motion artifact in T2‐weighted fast spin‐echo images of the liver: Effect on image contrast and reduction of artifact using respiratory triggering in normal volunteersChoe K, Smith R, Wilkens K, Constable R. Motion artifact in T2‐weighted fast spin‐echo images of the liver: Effect on image contrast and reduction of artifact using respiratory triggering in normal volunteers. Journal Of Magnetic Resonance Imaging 1997, 7: 298-302. PMID: 9090581, DOI: 10.1002/jmri.1880070207.
An fMRI study of the human cortical motor system response to increasing functional demandsWexler B, Fulbright R, Lacadie C, Skudlarski P, Kelz M, Constable R, Gore J. An fMRI study of the human cortical motor system response to increasing functional demands. Magnetic Resonance Imaging 1997, 15: 385-396. PMID: 9223039, DOI: 10.1016/s0730-725x(96)00232-9.
Auditory Selective Attention: An fMRI InvestigationPugh K, Shaywitz B, Shaywitz S, Fulbright R, Byrd D, Skudlarski P, Shankweiler D, Katz L, Constable R, Fletcher J, Lacadie C, Marchione K, Gore J. Auditory Selective Attention: An fMRI Investigation. NeuroImage 1996, 4: 159-173. PMID: 9345506, DOI: 10.1006/nimg.1996.0067.
Three‐dimensional strain‐rate imagingRobson M, Constable R. Three‐dimensional strain‐rate imaging. Magnetic Resonance In Medicine 1996, 36: 537-546. PMID: 8892204, DOI: 10.1002/mrm.1910360406.
Cerebral organization of component processes in readingPugh K, Shaywitz B, Shaywitz S, Constable R, Skudlarski P, Fulbright R, Bronen R, Shankweiler D, Katz L, Fletcher J, Gore J. Cerebral organization of component processes in reading. Brain 1996, 119: 1221-1238. PMID: 8813285, DOI: 10.1093/brain/119.4.1221.
The Functional Organization of Brain for Reading and Reading Disability (DyslexiaShaywitz B, Shaywitz S, Pugh K, Skudlarski P, Fulbright R, Constable R, Fletcher J, Liberman A, Shankweiler D, Katz L, Bronen R, Marchione K, Lacadie C, Gore J. The Functional Organization of Brain for Reading and Reading Disability (Dyslexia. The Neuroscientist 1996, 2: 245-255. DOI: 10.1177/107385849600200413.
Predicting reading performance from neuroimaging profiles: The cerebral basis of phonological effects in printed word identificationPugh K, Shaywitz B, Shaywitz S, Shankweiler D, Katz L, Fletcher J, Skudlarski P, Fulbright R, Constable R, Bronen R, Lacadie C, Gore J. Predicting reading performance from neuroimaging profiles: The cerebral basis of phonological effects in printed word identification. NeuroImage 1996, 3: s455. DOI: 10.1016/s1053-8119(96)80457-5.
Functional magnetic resonance imaging of frontal cortex during performance of non-spatial associative memory tasksAdcock R, Constable R, Gore J, Goldman-Rakic P. Functional magnetic resonance imaging of frontal cortex during performance of non-spatial associative memory tasks. NeuroImage 1996, 3: s526. DOI: 10.1016/s1053-8119(96)80528-3.
Limitations of ECG-gated SPECT for assessment of regional thickening: Experimental comparison with ECG-gated MRIGradel C, Staib L, Heller E, Constable R, Dione D, Liu Y, Wackers F, Sinusas A. Limitations of ECG-gated SPECT for assessment of regional thickening: Experimental comparison with ECG-gated MRI. Journal Of The American College Of Cardiology 1996, 27: 241. DOI: 10.1016/s0735-1097(96)81838-9.
Activation of Human Prefrontal Cortex during Spatial and Nonspatial Working Memory Tasks Measured by Functional MRIMcCarthy G, Puce A, Constable T, Krystal J, Gore J, Goldman-Rakic P. Activation of Human Prefrontal Cortex during Spatial and Nonspatial Working Memory Tasks Measured by Functional MRI. Cerebral Cortex 1996, 6: 600-611. PMID: 8670685, DOI: 10.1093/cercor/6.4.600.
Dense nonrigid motion tracking from a sequence of velocity fieldsMeyer F, Constable R, Sinusas A, Duncan J. Dense nonrigid motion tracking from a sequence of velocity fields. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 1996, 839-844. DOI: 10.1109/cvpr.1996.517169.
Functional MR imaging using gradient‐echo echo‐planar imaging in the presence of large static field inhomogeneitiesConstable R. Functional MR imaging using gradient‐echo echo‐planar imaging in the presence of large static field inhomogeneities. Journal Of Magnetic Resonance Imaging 1995, 5: 746-752. PMID: 8748497, DOI: 10.1002/jmri.1880050622.
Functional magnetic resonance imaging of sensory and motor cortex: comparison with electrophysiological localization.Puce A, Constable R, Luby M, McCarthy G, Nobre A, Spencer D, Gore J, Allison T. Functional magnetic resonance imaging of sensory and motor cortex: comparison with electrophysiological localization. Journal Of Neurosurgery 1995, 83: 262-70. PMID: 7616272, DOI: 10.3171/jns.1995.83.2.0262.
An roc approach for evaluating functional brain mr imaging and postprocessing protocolsConstable R, Skudlarski P, Gore J. An roc approach for evaluating functional brain mr imaging and postprocessing protocols. Magnetic Resonance In Medicine 1995, 34: 57-64. PMID: 7674899, DOI: 10.1002/mrm.1910340110.
Evaluation of frontal and parietal association cortex contributions to attention using fMRIBelger A, McCarthy G, Gore J, Puce A, Constable T, Krystal J. Evaluation of frontal and parietal association cortex contributions to attention using fMRI. Schizophrenia Research 1995, 15: 76. DOI: 10.1016/0920-9964(95)95239-6.
Sex differences in the functional organization of the brain for languageShaywitz B, Shaywltz S, Pugh K, Constable R, Skudlarski P, Fulbright R, Bronen R, Fletcher J, Shankweiler D, Katz L, Gore J. Sex differences in the functional organization of the brain for language. Nature 1995, 373: 607-609. PMID: 7854416, DOI: 10.1038/373607a0.
A Unified Framework to Assess Myocardial Function from 4D ImagesShi P, Robinson G, Chakraborty A, Staib L, Constable R, Sinusas A, Duncan J. A Unified Framework to Assess Myocardial Function from 4D Images. 1995, 905: 327-337. DOI: 10.1007/978-3-540-49197-2_42.
A model-based integrated approach to track myocardial deformation using displacement and velocity constraintsShi P, Robinson G, Constable R, Sinusas A, Duncan J. A model-based integrated approach to track myocardial deformation using displacement and velocity constraints. 1995, 687-692. DOI: 10.1109/iccv.1995.466872.
A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motionJ.C. I, Meyer F, Constable R, Nehorai A, Duncan J. A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion. 1995, 653-658. DOI: 10.1109/iccv.1995.466876.
Gradient moment nulling in fast spin echoHinks R, Constable R. Gradient moment nulling in fast spin echo. Magnetic Resonance In Medicine 1994, 32: 698-706. PMID: 7869891, DOI: 10.1002/mrm.1910320604.
Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imagingConstable R, Rath K, Sinusas A, Gore J. Development and evaluation of tracking algorithms for cardiac wall motion analysis using phase velocity MR imaging. Magnetic Resonance In Medicine 1994, 32: 33-42. PMID: 8084235, DOI: 10.1002/mrm.1910320106.
Functional NMR imaging using fast spin echo at 1.5 TConstable R, Kennan R, Puce A, McCarthy G, Gore J. Functional NMR imaging using fast spin echo at 1.5 T. Magnetic Resonance In Medicine 1994, 31: 686-690. PMID: 8057823, DOI: 10.1002/mrm.1910310617.
BOLD MRI monitoring of changes in cerebral perfusion induced by acetazolamide and hypercarbia in the ratGraham G, Zhong J, Petroff O, Constable R, Prichard J, Gore J. BOLD MRI monitoring of changes in cerebral perfusion induced by acetazolamide and hypercarbia in the rat. Magnetic Resonance In Medicine 1994, 31: 557-560. PMID: 8015411, DOI: 10.1002/mrm.1910310514.
Toward reliable, noninvasive measurement of myocardial function from 4D imagesDuncan J, Shi P, Amimi A, Constable R, Staib L, Dione D, Shi Q, Heller E, Singer M, Chakraborty A, Robinson G, Gore J, Sinusas A. Toward reliable, noninvasive measurement of myocardial function from 4D images. Proceedings Of SPIE 1994, 2168: 149-161. DOI: 10.1117/12.174390.
Fast Spin Echo STIR ImagingSmith R, Constable R, Reinhold C, McCauley T, Lange R, McCarthy S. Fast Spin Echo STIR Imaging. Journal Of Computer Assisted Tomography 1994, 18: 209-213. PMID: 8126269, DOI: 10.1097/00004728-199403000-00007.
Localization of semantic processing using functional magnetic resonance imagingShaywitz B, Pugh K, Constable R, Shaywitz S, Bronen R, Fulbright R, Shankweiler D, Katz L, Fletcher J, Skudlarski P, Gore J. Localization of semantic processing using functional magnetic resonance imaging. Human Brain Mapping 1994, 2: 149-158. DOI: 10.1002/hbm.460020304.
Coupled‐spin fast spin‐echo MR imagingConstable R, Smith R, Gore J. Coupled‐spin fast spin‐echo MR imaging. Journal Of Magnetic Resonance Imaging 1993, 3: 547-552. PMID: 8324316, DOI: 10.1002/jmri.1880030319.
Functional brain imaging at 1.5 T using conventional gradient echo MR imaging techniquesConstable R, McCarthy G, Allison T, Anderson A, Gore J. Functional brain imaging at 1.5 T using conventional gradient echo MR imaging techniques. Magnetic Resonance Imaging 1993, 11: 451-459. PMID: 8316058, DOI: 10.1016/0730-725x(93)90463-n.
Fast spin-echo MR imaging of the cervical spine: influence of echo train length and echo spacing on image contrast and quality.Sze G, Kawamura Y, Negishi C, Constable R, Merriam M, Oshio K, Jolesz F. Fast spin-echo MR imaging of the cervical spine: influence of echo train length and echo spacing on image contrast and quality. American Journal Of Neuroradiology 1993, 14: 1203-13. PMID: 8237705, PMCID: PMC8332763.
The Loss of Small Objects in Variable TE Imaging: Implications for FSE, RARE, and EPIConstable R, Gore J. The Loss of Small Objects in Variable TE Imaging: Implications for FSE, RARE, and EPI. Magnetic Resonance In Medicine 1992, 28: 9-24. PMID: 1435225, DOI: 10.1002/mrm.1910280103.
Multicoil high-resolution fast spin-echo MR imaging of the female pelvis.Smith R, Reinhold C, McCauley T, Lange R, Constable R, Kier R, McCarthy S. Multicoil high-resolution fast spin-echo MR imaging of the female pelvis. Radiology 1992, 184: 671-5. PMID: 1324508, DOI: 10.1148/radiology.184.3.1324508.
Tracking tagged MR images with energy-minimizing deformable gridsShi P, Amini A, Constable R, Duncan J. Tracking tagged MR images with energy-minimizing deformable grids. 1992, 133-134. DOI: 10.1109/nebc.1992.285985.
Energy-minimizing deformable grids for tracking tagged MR cardiac imagesAmini A, Shi P, Constable R, Johnson K, Duncan J, Gore J. Energy-minimizing deformable grids for tracking tagged MR cardiac images. 1992, 651-654. DOI: 10.1109/cic.1992.269374.
Factors influencing contrast in fast spin-echo MR imagingConstable R, Anderson A, Zhong J, Gore J. Factors influencing contrast in fast spin-echo MR imaging. Magnetic Resonance Imaging 1992, 10: 497-511. PMID: 1501520, DOI: 10.1016/0730-725x(92)90001-g.
Signal-to-Noise and Contrast in Fast Spin Echo (FSE) and Inversion Recovery FSE ImagingConstable R, Smith R, Gore J. Signal-to-Noise and Contrast in Fast Spin Echo (FSE) and Inversion Recovery FSE Imaging. Journal Of Computer Assisted Tomography 1992, 16: 41-47. PMID: 1729305, DOI: 10.1097/00004728-199201000-00008.
A quantitative comparison of the TERA modeling and DFT magnetic resonance image reconstruction techniquesSmith M, Nichols S, Constable R, Henkelman R. A quantitative comparison of the TERA modeling and DFT magnetic resonance image reconstruction techniques. Magnetic Resonance In Medicine 1991, 19: 1-19. PMID: 2046524, DOI: 10.1002/mrm.1910190102.
Contrast, Resolution, and Detectability in MR ImagingConstable R, Henkelman R. Contrast, Resolution, and Detectability in MR Imaging. Journal Of Computer Assisted Tomography 1991, 15: 297-303. PMID: 2002111, DOI: 10.1097/00004728-199103000-00021.
Data extrapolation for truncation artifact removalConstable R, Henkelman R. Data extrapolation for truncation artifact removal. Magnetic Resonance In Medicine 1991, 17: 108-118. PMID: 2067388, DOI: 10.1002/mrm.1910170115.
Why MEM does not work in MR image reconstructionConstable R, Henkelman R. Why MEM does not work in MR image reconstruction. Magnetic Resonance In Medicine 1990, 14: 12-25. PMID: 2191178, DOI: 10.1002/mrm.1910140103.
Maximum Entropy Reconstruction in Magnetic Resonance ImagingConstable R, Henkelman R. Maximum Entropy Reconstruction in Magnetic Resonance Imaging. 1989, 175-180. DOI: 10.1007/978-94-015-7860-8_15.
High Quality Zoomed MR ImagesConstable R, Kay I, Smith M, Henkelman R. High Quality Zoomed MR Images. Journal Of Computer Assisted Tomography 1989, 13: 179-181. PMID: 2910942, DOI: 10.1097/00004728-198901000-00046.

Clinical Trials

Conditions	Study Title
COVID-19 Outpatient	Magnetic Resonance Imaging Biomarkers: A tool to study central nervous system disease (MBAT)
Mental Health & Behavioral Research	Ketamine for Adolescent Suicidality
Alzheimer's Disease; Mental Health & Behavioral Research	Ketamine for the Treatment of Depression in Parkinson's Disease
Mental Health & Behavioral Research	Study of Brain Function Across the Lifespan
Child Development & Autism	Understanding Neurodevelopment in Autism
Diseases of the Nervous System; Genetics - Adult; Genetics - Pediatric; Mental Health & Behavioral Research	Brain Emotion Circuitry-Targeted Self-Monitoring and Regulation Therapy (BE-SMART)
Children's Health; Diseases of the Endocrine System; Immune System	Study to investigate adipocyte cell and lipid turnover in obese adolescents

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