2024
Sex differences in dorsal striatal volume and interest in quitting smoking
Huang S, MacLean R, Beltz A, McClernon F, Kozink R, Wilson S. Sex differences in dorsal striatal volume and interest in quitting smoking. Drug And Alcohol Dependence 2024, 267: 112543. PMID: 39764928, PMCID: PMC11771478, DOI: 10.1016/j.drugalcdep.2024.112543.Peer-Reviewed Original ResearchConceptsGray matter volumePutamen gray matter volumesVoxel-based morphometryStriatal grey matter volumeAverage gray matter volumeQuitting interestDorsal striatal volumesStructural magnetic resonance imagingQuit smokingMagnetic resonance imagingSubstance use behaviorsROI-based analysisSelf-reported interestDorsal striatumBrain mechanismsNeuroanatomical mechanismsMatter volumeStriatal volumeBrain regionsSensorimotor cuesVolumetric differencesSex differencesPutamenMultiple regression analysisSmoking behaviorGut-brain axis and neuroplasticity in health and disease: a systematic review
Di Napoli A, Pasquini L, Visconti E, Vaccaro M, Rossi-Espagnet M, Napolitano A. Gut-brain axis and neuroplasticity in health and disease: a systematic review. La Radiologia Medica 2024, 130: 327-358. PMID: 39718685, DOI: 10.1007/s11547-024-01938-0.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imaging studyDiffusion tensor imagingHealthy subjectsArterial spin labelingGut-brain axisBrain connectivityStructural magnetic resonance imagingMagnetic resonance imaging studiesInflammatory bowel syndromeAssociated with connectivityMagnetic resonance imagingGut microbiotaBowel syndromeImaging studiesTranscranial magnetic stimulationTemporal cortexNon-human subjectsResonance imagingCurrent evidenceStructural MRISomatosensory cortexPatientsPsychiatric diseasesBrain functionTensor imagingNeuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children
Acosta-Rodriguez H, Yuan C, Bobba P, Stephan A, Zeevi T, Malhotra A, Tran A, Kaltenhauser S, Payabvash S. Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children. Journal Of Integrative Neuroscience 2024, 23: 217. PMID: 39735971, PMCID: PMC11851640, DOI: 10.31083/j.jin2312217.Peer-Reviewed Original ResearchConceptsCognitive composite scoreAdolescent Brain Cognitive DevelopmentFluid cognition composite scoresStructural magnetic resonance imagingComposite scoreDiffusion tensor imagingNeuroimaging correlatesCognitive functionRs-fMRINational Institutes of Health (NIH) Toolbox Cognition BatteryCognitive scoresMicrostructural integrityResting-state functional connectivityCrystallized cognition composite scoreCortical surface areaTotal cognitive scoreWM microstructural integrityCognitive batteryCrystallized cognitionNeuroanatomical correlatesWhite matterCognitive performanceNeuroimaging metricsFunctional connectivityNeuroimaging dataInter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N8K) Analysis
Kotoski A, Liu J, Morris R, Calhoun V. Inter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N8K) Analysis. IEEE Transactions On Biomedical Engineering 2024, 71: 3383-3389. PMID: 38968021, PMCID: PMC11700228, DOI: 10.1109/tbme.2024.3423703.Peer-Reviewed Original ResearchReading abilityBrain structuresSchool-aged childrenResting-stateStructural magnetic resonance imagingInferior frontal areasFunctional brain changesInferior parietal lobuleHigher reading abilityFunctional connectivity patternsLow reading abilityLingual gyrusNeural basisParietal lobuleReading developmentBrain changesCognitive processesReplication linksRs-fMRICortical regionsReading scoresBrain functionCognitive growthFrontal areasConnectivity patternsMaternal adverse childhood experiences and infant visual-limbic white matter development
Demers C, Hankin B, Haase M, Todd E, Hoffman M, Epperson C, Styner M, Davis E. Maternal adverse childhood experiences and infant visual-limbic white matter development. Journal Of Affective Disorders 2024, 367: 49-57. PMID: 39191307, DOI: 10.1016/j.jad.2024.08.146.Peer-Reviewed Original ResearchMaternal adverse childhood experiencesAdverse childhood experiencesInferior longitudinal fasciculusFractional anisotropyLongitudinal fasciculusChildhood experiencesLeft inferior longitudinal fasciculusStructural magnetic resonance imagingPredictors of mental healthVisual processing networksNo group differencesExploratory analysisChildhood questionnaireEarly life adversity exposuresWhite matter microstructureMother-infant dyadsFollow-up analysisCognitive circuitsPreliminary supportNeural circuit developmentInfant brain developmentMagnetic resonance imagingGroup differencesSensory processingIntergenerational riskMulti-modal deep learning from imaging genomic data for schizophrenia classification
Kanyal A, Mazumder B, Calhoun V, Preda A, Turner J, Ford J, Ye D. Multi-modal deep learning from imaging genomic data for schizophrenia classification. Frontiers In Psychiatry 2024, 15: 1384842. PMID: 39006822, PMCID: PMC11239396, DOI: 10.3389/fpsyt.2024.1384842.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsGenomic dataGenetic markersGenomic markersBrains of individualsNucleotide polymorphismsEtiology of SZFunctional magnetic resonance imagingStructural magnetic resonance imagingMorphological featuresLayerwise relevance propagationHereditary aspectsHealthy controlsMarkersVoxel-based texture similarity networks reveal individual variability and correlate with biological ontologies
Lin L, Chang Z, Zhang Y, Xue K, Xie Y, Wei L, Li X, Zhao Z, Luo Y, Dong H, Liang M, Liu H, Yu C, Qin W, Ding H. Voxel-based texture similarity networks reveal individual variability and correlate with biological ontologies. NeuroImage 2024, 297: 120688. PMID: 38878916, DOI: 10.1016/j.neuroimage.2024.120688.Peer-Reviewed Original ResearchConceptsTest-retest reliabilityCovariance networksSouthwest University Adult Lifespan DatasetStructural magnetic resonance imagingStructural covariance networksStructural covariance patternsDorsal neocortexIndividual variabilitySimilarity networkHuman Connectome ProjectBrain regionsBrain processesBehavioral varianceLifespan datasetsSex differencesBiological substratesConnection strengthConnectome ProjectTopological propertiesCovariance patternsHuman brainNetwork topological propertiesIndividual structural covariance networksMagnetic resonance imagingNeocortexCross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs
Bi Y, Abrol A, Sui J, Calhoun V. Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. 2024, 00: 1756-1760. DOI: 10.1109/icassp48485.2024.10446450.Peer-Reviewed Original ResearchFunctional network connectivityStructural magnetic resonance imagingCross-modality synthesisFunctional network connectivity matricesGenerative adversarial networkFunctional connectivity networksAdversarial networkSubcortical brain regionsMedical imagesNetwork connectivityFusion of MRIConnectivity networksRight superior frontal gyrus: A potential neuroimaging biomarker for predicting short-term efficacy in schizophrenia
Yang Y, Jin X, Xue Y, Li X, Chen Y, Kang N, Yan W, Li P, Guo X, Luo B, Zhang Y, Liu Q, Shi H, Zhang L, Su X, Liu B, Lu L, Lv L, Li W. Right superior frontal gyrus: A potential neuroimaging biomarker for predicting short-term efficacy in schizophrenia. NeuroImage Clinical 2024, 42: 103603. PMID: 38588618, PMCID: PMC11015154, DOI: 10.1016/j.nicl.2024.103603.Peer-Reviewed Original ResearchSuperior frontal gyrusPositive and Negative Syndrome ScaleMATRICS Consensus Cognitive BatteryRight superior frontal gyrusAntipsychotic drug treatmentStructural magnetic resonance imagingInferior temporal gyrusSZ patientsFunctional connectivityWM densityFrontal gyrusEffect of antipsychotic drug treatmentTarget of antipsychotic drugsSecond-generation antipsychotic treatmentRight medial superior frontal gyrusMedial superior frontal gyrusRight inferior temporal gyrusConsensus Cognitive BatteryNegative Syndrome ScaleResting-state functional MRIRight anterior cingulateMeasure psychiatric symptomsRegional gray matterAssociated with treatment outcomeRight cingulate gyrusDecentralized Mixed Effects Modeling in COINSTAC
Basodi S, Raja R, Gazula H, Romero J, Panta S, Maullin-Sapey T, Nichols T, Calhoun V. Decentralized Mixed Effects Modeling in COINSTAC. Neuroinformatics 2024, 22: 163-175. PMID: 38424371, DOI: 10.1007/s12021-024-09657-7.Peer-Reviewed Original ResearchLarge-scale analysis of dataDecentralized platformLow bandwidthData transferMemory requirementsData sharingSubstantial overheadsCOINSTACStructural magnetic resonance imagingNeuroimaging communityDataData poolNeuroimaging analysisOverheadsPrivacyLarge-scale analysisImagesMagnetic resonance imagingGray matter reductionsMedial frontal regionsDimensionalityLinear mixed-effectsModeling approachBandwidthResearch groupsEnlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders.
Guimond S, Alftieh A, Devenyi G, Mike L, Chakravarty M, Shah J, Parker D, Sweeney J, Pearlson G, Clementz B, Tamminga C, Keshavan M. Enlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders. Psychological Medicine 2024, 54: 1835-1843. PMID: 38357733, DOI: 10.1017/s003329172300380x.Peer-Reviewed Original ResearchPituitary gland volumePsychotic disordersSymptom severityAntipsychotic doseIllness durationCognitive functionAssociated with greater symptom severitySignificant effect of diagnosisAssociated with symptom severityHigher antipsychotic dosePituitary volumeBipolar-Schizophrenia NetworkIntermediate Phenotypes consortiumStructural magnetic resonance imagingProgression of psychosisGreater symptom severityEffect of diagnosisLower cognitive functionMore severe symptomsSample of individualsTransdiagnostic sampleMAGeT Brain algorithmGland volumeTrait markerBetween-group differencesNeuropsychological insights into exercise addiction: the role of brain structure and self-efficacy in middle-older individuals
Zhang F, Shao Y, Zhang X, Zhang H, Tan Y, Yang G, Wang X, Jia Z, Gong Q, Zhang H. Neuropsychological insights into exercise addiction: the role of brain structure and self-efficacy in middle-older individuals. Cerebral Cortex 2024, 34: bhad514. PMID: 38186007, DOI: 10.1093/cercor/bhad514.Peer-Reviewed Original ResearchGray matter volumeRight inferior temporal regionMatter volumeInferior temporal regionsBrain structuresExercise addictionTemporal regionsStructural magnetic resonance imagingMagnetic resonance imagingLeft rolandic operculumSPM12 softwareDevelopment of interventionsRight hippocampusStudy populationRolandic operculumResonance imagingBehavioral assessmentPhysiological changesAddictionNeuropsychological mechanismsPsychological factorsPositive correlationNegative correlationMediation analysisIndividuals
2023
Decay in Entorhinal White Matter/Gray Matter contrast in Alzheimer’s Disease Patients is reduced by 40Hz sensory stimulation
Da X, Hempel E, Malchano Z, Vaughan B, Megerian J, Hajos M, Cimenser A. Decay in Entorhinal White Matter/Gray Matter contrast in Alzheimer’s Disease Patients is reduced by 40Hz sensory stimulation. Alzheimer's & Dementia 2023, 19 DOI: 10.1002/alz.077337.Peer-Reviewed Original ResearchMagnetic resonance imagingEntorhinal regionAlzheimer's diseaseWhite matterPlacebo groupDisease patientsMRI measuresTreatment groupsPlacebo-controlled feasibility studyPhase I/IISensory stimulationMonth 6 visitMonths of treatmentStructural magnetic resonance imagingAlzheimer's disease patientsSignal intensityT1 magnetic resonance imagingLinear mixed-effects modelingMonth 3WM atrophyMyelin lossAD severityWM/GM contrastMixed-effects modelingAD patientsMultimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain
Saha R, Saha D, Fu Z, Silva R, Calhoun V. Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. 2023, 00: 1-5. DOI: 10.1109/bhi58575.2023.10313489.Peer-Reviewed Original ResearchFunctional network connectivityAdolescent brainPotential gender-related differencesBilateral sensorimotor cortexStructural magnetic resonance imagingMagnetic resonance imagingBrain functional connectivityGender-related differencesSensorimotor cortexLongitudinal change patternsGrey matter dataResonance imagingJoint independent component analysisLongitudinal changesFunctional connectivityBrain developmentBrain functionEntire brainBrain connectivityBrain connectionsBrain analysisBrainSensorimotor domainModalitiesSMRI dataFunctional and Structural Longitudinal Change Patterns in Adolescent Brain
Saha R, Saha D, Fu Z, Silva R, Calhoun V. Functional and Structural Longitudinal Change Patterns in Adolescent Brain. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38082649, DOI: 10.1109/embc40787.2023.10340079.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingStructural magnetic resonance imagingFunctional network connectivityWhole-brainGray matterBrain functional magnetic resonance imagingMagnetic resonance imagingAdolescent brainFunctional connectivityResonance imagingMultivariate patternsLongitudinal change patternsUnivariate changesAdolescentsLongitudinal changesBrainIncreasing ageFunctional changesComplementary techniquesNetwork connectivityTau Positron Emission Tomography and Neurocognitive Function Among Former Professional American-Style Football Players
Dhaynaut M, Grashow R, Normandin M, Wu O, Marengi D, Terry D, Sanchez J, Weisskopf M, Speizer F, Taylor H, Guehl N, Seshadri S, Beiser A, Daneshvar D, Johnson K, Iverson G, Zafonte R, Fakhri G, Baggish A. Tau Positron Emission Tomography and Neurocognitive Function Among Former Professional American-Style Football Players. Journal Of Neurotrauma 2023, 40: 1614-1624. PMID: 37282582, PMCID: PMC10458363, DOI: 10.1089/neu.2022.0454.Peer-Reviewed Original ResearchConceptsPositron emission tomographyDistribution volume ratioNeuropsychological testsNeurocognitive functionStandardized uptake value ratioControl participantsMeasures of neurocognitive functionStructural magnetic resonance imagingMeasures of memoryDepressive symptom severityMale control participantsEmission tomographyCerebellar gray matterNeuropsychological measuresTau positron emission tomographyExecutive functionSymptom severityBrain regionsEntorhinal cortexRepetitive head impactsP-tauReference regionFormer playersRepetitive head impact exposureMale controlsMultimodal deep learning for Alzheimer’s disease classification and clinical score prediction
Itkyal V, Batta I, Abrol A, Calhoun V. Multimodal deep learning for Alzheimer’s disease classification and clinical score prediction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/3053.Peer-Reviewed Original ResearchStructural magnetic resonance imagingResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingMagnetic resonance imagingFederated Linear Mixed Effects Modeling for Voxel-Based Morphometry
Basodi S, Raja R, Gazula H, Romero J, Panta S, Calhoun V. Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. 2023, 00: 1-4. DOI: 10.1109/isbi53787.2023.10230684.Peer-Reviewed Original Research
2022
Gender-related association among childhood maltreatment, brain structure and clinical features in bipolar disorder
Colic L, Clark A, Sankar A, Rathi DJ, Goldman DA, Kim JA, Villa LM, Edmiston EK, Lippard ETC, Pittman B, Constable RT, Mazure CM, Blumberg HP. Gender-related association among childhood maltreatment, brain structure and clinical features in bipolar disorder. European Neuropsychopharmacology 2022, 63: 35-46. PMID: 36037590, PMCID: PMC9593266, DOI: 10.1016/j.euroneuro.2022.07.186.Peer-Reviewed Original ResearchConceptsClinical featuresBipolar disorderCM severityChildhood maltreatmentLeft hippocampusPost-traumatic stress disorder (PTSD) comorbidityBrain structuresStructural magnetic resonance imagingGender-related associationMagnetic resonance imagingGray matter structuresChildhood Trauma QuestionnaireGender-related differencesCM exposureHealthy controlsClinical assessmentDisorder comorbidityMood symptomsPathophysiological modelGender-related effectsResonance imagingHippocampusFrontal poleTrauma QuestionnaireSeverity
2021
Assessment of brain age in posttraumatic stress disorder: Findings from the ENIGMA PTSD and brain age working groups
Clausen AN, Fercho KA, Monsour M, Disner S, Salminen L, Haswell CC, Rubright EC, Watts AA, Buckley MN, Maron-Katz A, Sierk A, Manthey A, Suarez-Jimenez B, Olatunji BO, Averill CL, Hofmann D, Veltman DJ, Olson EA, Li G, Forster GL, Walter H, Fitzgerald J, Théberge J, Simons JS, Bomyea JA, Frijling JL, Krystal JH, Baker JT, Phan KL, Ressler K, Han LKM, Nawijn L, Lebois LAM, Schmaal L, Densmore M, Shenton ME, van Zuiden M, Stein M, Fani N, Simons RM, Neufeld RWJ, Lanius R, van Rooij S, Koch SBJ, Bonomo S, Jovanovic T, deRoon-Cassini T, Ely TD, Magnotta VA, He X, Abdallah CG, Etkin A, Schmahl C, Larson C, Rosso IM, Blackford JU, Stevens JS, Daniels JK, Herzog J, Kaufman ML, Olff M, Davidson RJ, Sponheim SR, Mueller SC, Straube T, Zhu X, Neria Y, Baugh LA, Cole JH, Thompson PM, Morey RA. Assessment of brain age in posttraumatic stress disorder: Findings from the ENIGMA PTSD and brain age working groups. Brain And Behavior 2021, 12: e2413. PMID: 34907666, PMCID: PMC8785613, DOI: 10.1002/brb3.2413.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderEffects of PTSDBrain-PADBrain ageMale controlsOld maleStress disorderAge-related brain changesStructural magnetic resonance imagingBrain structural magnetic resonance imagingOlder age groupsMagnetic resonance imagingChronological ageSubset of controlsContext of PTSDControl subjectsBrain changesBrain agingFuture longitudinal researchTreatment approachesLinear mixed effects modelsAdult subjectsResonance imagingAge groupsPTSD assessment
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply