2023
Multimodal 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 data
2022
A multidimensional coding architecture of the vagal interoceptive system
Zhao Q, Yu CD, Wang R, Xu QJ, Dai Pra R, Zhang L, Chang RB. A multidimensional coding architecture of the vagal interoceptive system. Nature 2022, 603: 878-884. PMID: 35296859, PMCID: PMC8967724, DOI: 10.1038/s41586-022-04515-5.Peer-Reviewed Original Research
2019
Genetic risk for Alzheimer's disease and functional brain connectivity in children and adolescents
Axelrud L, Sato J, Santoro M, Talarico F, Pine D, Rohde L, Zugman A, Junior E, Bressan R, Grassi-Oliveira R, Pan P, Hoffmann M, Simioni A, Guinjoan S, Hakonarson H, Brietzke E, Gadelha A, Pellegrino da Silva R, Hoexter M, Miguel E, Belangero S, Salum G. Genetic risk for Alzheimer's disease and functional brain connectivity in children and adolescents. Neurobiology Of Aging 2019, 82: 10-17. PMID: 31376729, PMCID: PMC7658444, DOI: 10.1016/j.neurobiolaging.2019.06.011.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseAD-PRSBrain connectivityGenetic riskRight superior temporal gyrusFunctional brain connectivityMagnetic resonance imagingInhibitory controlSuperior temporal gyrusTau pathologyAD developmentPolygenic risk scoresRisk scoreRight precuneusResonance imagingTau proteinTemporal gyrusDiseaseBrain connectionsEarly lifePathology networkFunctional networksRiskPorto AlegreMemory performance
2016
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease
Finn 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.Peer-Reviewed Original ResearchConceptsFunctional brain connectivityFunctional magnetic resonance imagingFunctional brain connectionsBrain connectivityMagnetic resonance imagingFunctional connectivity profilesPsychiatric illnessHealthy subjectsFuture illnessPsychiatric diagnosisPsychiatric diseasesMental illnessResonance imagingSingle-subject levelInterindividual variabilityPersonalized approachFunctional connectivityBrain connectionsIllnessConnectivity profilesRecent evidenceReliable correlateBehavioral phenotypesNeural organizationSubjects
2013
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad N, Rajagopalan P, Hua X, Hibar D, Nir T, Toga A, Jack C, Saykin A, Green R, Weiner M, Medland S, Montgomery G, Hansell N, McMahon K, de Zubicaray G, Martin N, Wright M, Thompson P, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowski J, Toga A, Beckett L, Green R, Saykin A, Morris J, Liu E, Green R, Montine T, Petersen R, Aisen P, Gamst A, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Beckett L, Harvey D, Gamst A, Donohue M, Kornak J, Jack C, Dale A, Bernstein M, Felmlee J, Fox N, Thompson P, Schuff N, Alexander G, DeCarli C, Jagust W, Bandy D, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Morris J, Cairns N, Taylor-Reinwald L, Trojanowki J, Shaw L, Lee V, Korecka M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Khachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Quinn J, Lind B, Dolen S, Schneider L, Pawluczyk S, Spann B, Brewer J, Vanderswag H, Heidebrink J, Lord J, Petersen R, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Stern Y, Honig L, Bell K, Morris J, Ances B, Carroll M, Leon S, Mintun M, Schneider S, Marson D, Griffith R, Clark D, Grossman H, Mitsis E, Romirowsky A, deToledo-Morrell L, Shah R, Duara R, Varon D, Roberts P, Albert M, Onyike C, Kielb S, Rusinek H, de Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Coleman R, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, Mc-Adams-Ortiz C, Womack K, Mathews D, Quiceno M, Diaz-Arrastia R, King R, Weiner M, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Lu P, Bartzokis G, Silverman D, Graff-Radford N, Parfitt F, Johnson H, Farlow M, Hake A, Matthews B, Herring S, van Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Hsiung G, Feldman H, Mudge B, Assaly M, Kertesz A, Rogers J, Trost D, Bernick C, Munic D, Kerwin D, Mesulam M, Lipowski K, Wu C, Johnson N, Sadowsky C, Martinez W, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Frey M, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Bwayo S, Lerner A, Hudson L, Ogrocki P, Fletcher E, Carmichael O, Olichney J, DeCarli C, Kittur S, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Saykin A, Santulli R, Schwartz E, Sink K, Williamson J, Garg P, Watkins F, Ott B, Querfurth H, Tremont G, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J, Longmire C, Spicer K, Finger E, Rachinsky I, Rogers J, Kertesz A, Drost D. Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity. Proceedings Of The National Academy Of Sciences Of The United States Of America 2013, 110: 4768-4773. PMID: 23471985, PMCID: PMC3606977, DOI: 10.1073/pnas.1216206110.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlzheimer DiseaseAutistic DisorderBrainChromosomes, Human, Pair 11Endosomal Sorting Complexes Required for TransportExtracellular Matrix ProteinsFemaleGenetic VariationGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleNedd4 Ubiquitin Protein LigasesRadiographySeverity of Illness IndexTwins, DizygoticTwins, MonozygoticUbiquitin-Conjugating EnzymesUbiquitin-Protein LigasesConceptsAlzheimer's diseaseBrain connectionsHuman brain wiringDegree of dementiaAssociation of connectivityBrain connectivity patternsConnectivity patternsAberrant connectivityDementia scoreDementia severityElderly populationLower riskPsychiatric disordersHealthy young adult twinsPosthoc analysisBrain wiringBrain diseasesFamily-based studyDiseaseBrain structuresBrain connectivityOlder peopleGene variantsMental retardationYoung adult twins
2006
Connectivity–behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading ability
Hampson 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.Peer-Reviewed Original Research
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