2017
Effects of the brain-derived neurotropic factor variant Val66Met on cortical structure in late childhood and early adolescence
de Araujo C, Zugman A, Swardfager W, Belangero S, Ota V, Spindola L, Hakonarson H, Pellegrino R, Gadelha A, Salum G, Pan P, de Moura L, Del Aquilla M, Picon F, Amaro E, Sato J, Brietzke E, Grassi-Oliveira R, Rohde L, Miguel E, Bressan R, Jackowski A. Effects of the brain-derived neurotropic factor variant Val66Met on cortical structure in late childhood and early adolescence. Journal Of Psychiatric Research 2017, 98: 51-58. PMID: 29288952, DOI: 10.1016/j.jpsychires.2017.12.008.Peer-Reviewed Original ResearchConceptsPsychiatric disordersVal66Met polymorphismCortical thicknessBrain-derived neurotrophic factor (BDNF) Val66Met polymorphismRegional structural brain changesNeurotrophic factor Val66Met polymorphismPrefrontal cortexStructural brain changesLateral temporal cortexEffect of Val66MetBilateral prefrontal cortexVal66Met effectsWindow of vulnerabilityCortical maturationBrain changesOccipital lobeMet carriersAtypical neurodevelopmentMRI scansPsychiatric diagnosisTemporal cortexDiagnosis interactionVal66MetNeuropsychiatric disordersBrain morphologyCortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group
Boedhoe PSW, Schmaal L, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Bose A, Brem S, Calvo A, Calvo R, Cheng Y, Cho KIK, Ciullo V, Dallaspezia S, Denys D, Feusner JD, Fitzgerald KD, Fouche JP, Fridgeirsson EA, Gruner P, Hanna GL, Hibar DP, Hoexter MQ, Hu H, Huyser C, Jahanshad N, James A, Kathmann N, Kaufmann C, Koch K, Kwon JS, Lazaro L, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minuzzi L, Morer A, Nakamae T, Nakao T, Narayanaswamy JC, Nishida S, Nurmi E, O’Neill J, Piacentini J, Piras F, Piras F, Reddy YCJ, Reess TJ, Sakai Y, Sato JR, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stevens MC, Szeszko PR, Tolin DF, van Wingen GA, Venkatasubramanian G, Walitza S, Wang Z, Yun JY, Thompson P, Stein D, van den Heuvel O, Boedhoe P, Schmaal L, Abe Y, Alonso P, Ameis S, Anticevic A, Arnold P, Bargalló N, Batistuzzo M, Benedetti F, Beucke J, Bollettini I, Bose A, Brandeis D, Brem S, Buimer E, Busatto G, Calvo A, Calvo R, Cheng Y, Cho K, Ciullo V, Dallaspezia S, de Vries F, de Wit S, Denys D, Drechsler R, Falini A, Fang Y, Feusner J, Figee M, Fitzgerald K, Fontaine M, Fouche J, Fridgeirsson E, Gruner P, Hanna G, Hauser T, Hibar D, Hoexter M, Hu H, Huyser C, Iorio M, Jahanshad N, James A, Kathmann N, Kaufmann C, Khadka S, Koch K, Kwon J, Lazaro L, Liu Y, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, McCracken J, Menchón J, Miguel E, Minuzzi L, Morer A, Nakamae T, Nakao T, Narayanaswamy J, Narumoto J, Nishida S, Nurmi E, O’Neill J, Pariente J, Piacentini J, Pittenger C, Piras F, Piras F, Poletti S, Reddy Y, Reess T, Rus O, Sakai Y, Sato J, Simpson H, Soreni N, Soriano-Mas C, Spalletta G, Stevens M, Szeszko P, Tang J, Tolin D, van der Werf Y, van Wingen G, Vecchio D, Veltman D, Venkatasubramanian G, Walitza S, Wang Z, Watanabe A, Xu J, Xu X, Yamada K, Yun J, Zarei M, Zhao Q, Thompson P, Stein D, van den Heuvel O. Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group. American Journal Of Psychiatry 2017, 175: 453-462. PMID: 29377733, PMCID: PMC7106947, DOI: 10.1176/appi.ajp.2017.17050485.Peer-Reviewed Original ResearchConceptsPediatric OCD patientsAdult OCD patientsOCD patientsParietal cortexAdult obsessive-compulsive disorderCortical thickness abnormalitiesD effectsInferior parietal cortexSuperior parietal cortexLimited statistical powerTransverse temporal cortexCohen's d effectClinical characteristicsCortical abnormalitiesObsessive-compulsive disorderThickness abnormalitiesHealthy controlsCortical thicknessPatientsTemporal cortexThinner cortexMRI scansClinical heterogeneityStructural abnormalitiesDisease profileAssociation between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning
Sato J, Biazoli C, Salum G, Gadelha A, Crossley N, Vieira G, Zugman A, Picon F, Pan P, Hoexter M, Amaro E, Anés M, Moura L, Del’Aquilla M, Mcguire P, Rohde L, Miguel E, Jackowski A, Bressan R. Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning. The World Journal Of Biological Psychiatry 2017, 19: 119-129. PMID: 28635541, DOI: 10.1080/15622975.2016.1274050.Peer-Reviewed Original ResearchConceptsBilateral posterior temporal corticesAbnormal brain functional connectivityMental health disordersBilateral posterior cingulateBrain networksBrain functional connectivityResting-state fMRI dataPosterior temporal cortexBrain network organizationLevels of psychopathologyTemporal cortexHealth disordersTemporal polePosterior cingulateMental disordersBrain developmentFunctional connectivityBrain connectivitySignificant decreaseDisordersGraph theory measuresIndividual brain networksBiological measuresPsychopathologySubjects
2014
Age effects on the default mode and control networks in typically developing children
Sato J, Salum G, Gadelha A, Picon F, Pan P, Vieira G, Zugman A, Hoexter M, Anés M, Moura L, Del'Aquilla M, Amaro E, McGuire P, Crossley N, Lacerda A, Rohde L, Miguel E, Bressan R, Jackowski A. Age effects on the default mode and control networks in typically developing children. Journal Of Psychiatric Research 2014, 58: 89-95. PMID: 25085608, DOI: 10.1016/j.jpsychires.2014.07.004.Peer-Reviewed Original ResearchConceptsDefault mode networkMode networkYears of ageCross-sectional community sampleRight anterior insulaDefault modePosterior temporal cortexDorsal anteriorAge effectsNeurodevelopment studiesHealthy subjectsTemporal cortexPosterior cingulateState fMRI dataAnterior insulaBrain developmentSame acquisition parametersLeft posterior temporal cortexNeuronal modulesState fMRILate childhoodDevelopmental formationBrain networksCommunity sampleField of neuroimagingMulticenter Voxel-Based Morphometry Mega-Analysis of Structural Brain Scans in Obsessive-Compulsive Disorder
de Wit S, Alonso P, Schweren L, Mataix-Cols D, Lochner C, Menchón J, Stein D, Fouche J, Soriano-Mas C, Sato J, Hoexter M, Denys D, Nakamae T, Nishida S, Kwon J, Jang J, Busatto G, Cardoner N, Cath D, Fukui K, Jung W, Kim S, Miguel E, Narumoto J, Phillips M, Pujol J, Remijnse P, Sakai Y, Shin N, Yamada K, Veltman D, van den Heuvel O. Multicenter Voxel-Based Morphometry Mega-Analysis of Structural Brain Scans in Obsessive-Compulsive Disorder. American Journal Of Psychiatry 2014, 171: 340-349. PMID: 24220667, DOI: 10.1176/appi.ajp.2013.13040574.Peer-Reviewed Original ResearchConceptsHealthy comparison subjectsObsessive-compulsive disorderOCD patientsHealthy subjectsComparison subjectsGreater cerebellar gray matter volumeMatter volumeStructural T1-weighted MRI scansWhite matter brain volumesWhite matter volume differencesT1-weighted MRI scansWhite matter volumePrevious smaller studiesStructural brain scansGray matter volumeVoxel-based morphometryAdult OCD patientsCerebellar gray matter volumeAnterior cingulate cortexAltered neuroplasticityClinical variablesInferior frontal gyrusCognitive dysfunctionDorsomedial prefrontal cortexTemporal cortex