2020
An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration
van den Heuvel OA, Boedhoe PSW, Bertolin S, Bruin WB, Francks C, Ivanov I, Jahanshad N, Kong X, Kwon JS, O'Neill J, Paus T, Patel Y, Piras F, Schmaal L, Soriano‐Mas C, Spalletta G, van Wingen GA, Yun J, Vriend C, Simpson HB, van Rooij D, Hoexter MQ, Hoogman M, Buitelaar JK, Arnold P, Beucke JC, Benedetti F, Bollettini I, Bose A, Brennan BP, De Nadai AS, Fitzgerald K, Gruner P, Grünblatt E, Hirano Y, Huyser C, James A, Koch K, Kvale G, Lazaro L, Lochner C, Marsh R, Mataix‐Cols D, Morgado P, Nakamae T, Nakao T, Narayanaswamy JC, Nurmi E, Pittenger C, Reddy YCJ, Sato JR, Soreni N, Stewart SE, Taylor SF, Tolin D, Thomopoulos SI, Veltman DJ, Venkatasubramanian G, Walitza S, Wang Z, Thompson PM, Stein DJ, Abe Y, Alonso P, Assogna F, Banaj N, Batistuzzo M, Brem S, Ciullo V, Feusner J, Martínez‐Zalacaín I, Menchón J, Miguel E, Piacentini J, Piras F, Sakai Y, Wolters L, Yamada K. An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration. Human Brain Mapping 2020, 43: 23-36. PMID: 32154629, PMCID: PMC8675414, DOI: 10.1002/hbm.24972.Peer-Reviewed Original ResearchMeSH KeywordsCerebral CortexHumansMachine LearningMulticenter Studies as TopicNeuroimagingObsessive-Compulsive DisorderConceptsObsessive-compulsive disorder
2019
Transcranial direct current stimulation in obsessive-compulsive disorder: an update in electric field modeling and investigations for optimal electrode montage
da Silva R, Batistuzzo M, Shavitt R, Miguel E, Stern E, Mezger E, Padberg F, D’Urso G, Brunoni A. Transcranial direct current stimulation in obsessive-compulsive disorder: an update in electric field modeling and investigations for optimal electrode montage. Expert Review Of Neurotherapeutics 2019, 19: 1025-1035. PMID: 31244347, DOI: 10.1080/14737175.2019.1637257.Peer-Reviewed Original Research
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
Decreased centrality of subcortical regions during the transition to adolescence: A functional connectivity study
Sato J, Salum G, Gadelha A, Vieira G, Zugman A, Picon F, Pan P, Hoexter M, Anés M, Moura L, Del’Aquilla M, Crossley N, Amaro E, Mcguire P, Lacerda A, Rohde L, Miguel E, Jackowski A, Bressan R. Decreased centrality of subcortical regions during the transition to adolescence: A functional connectivity study. NeuroImage 2014, 104: 44-51. PMID: 25290886, DOI: 10.1016/j.neuroimage.2014.09.063.Peer-Reviewed Original ResearchConceptsAngular gyrusDevelopmental trajectoriesFunctional magnetic resonance imaging (fMRI) dataBrain developmental trajectoriesBrazilian community sampleBrain maturation processesFunctional connectivity studiesNetwork connectivity changesStructural imaging findingsInhibitory controlSensitive development periodCommunity sampleEmotional changesAbstract thoughtMagnetic resonance imaging dataComplex reasoningFMRI dataCerebellar regionsDevelopmental changesBrain regionsCortical regionsConnectivity changesConnectivity studiesSubcortical regionsAdolescence
2013
Predicting obsessive–compulsive disorder severity combining neuroimaging and machine learning methods
Hoexter M, Miguel E, Diniz J, Shavitt R, Busatto G, Sato J. Predicting obsessive–compulsive disorder severity combining neuroimaging and machine learning methods. Journal Of Affective Disorders 2013, 150: 1213-1216. PMID: 23769292, DOI: 10.1016/j.jad.2013.05.041.Peer-Reviewed Original Research
2012
Obsessive-compulsive symptom dimensions correlate to specific gray matter volumes in treatment-naïve patients
Alvarenga P, do Rosário M, Batistuzzo M, Diniz J, Shavitt R, Duran F, Dougherty D, Bressan R, Miguel E, Hoexter M. Obsessive-compulsive symptom dimensions correlate to specific gray matter volumes in treatment-naïve patients. Journal Of Psychiatric Research 2012, 46: 1635-1642. PMID: 23040160, DOI: 10.1016/j.jpsychires.2012.09.002.Peer-Reviewed Original Research
1995
A Positron Emission Tomographic Study of Simple Phobic Symptom Provocation
Rauch SL, Savage CR, Alpert NM, Miguel EC, Baer L, Breiter HC, Fischman AJ, Manzo PA, Moretti C, Jenike MA. A Positron Emission Tomographic Study of Simple Phobic Symptom Provocation. JAMA Psychiatry 1995, 52: 20-28. PMID: 7811159, DOI: 10.1001/archpsyc.1995.03950130020003.Peer-Reviewed Original Research