2023
Spatial normalization discrepancies between native and MNI152 brain template scans in gamma ventral capsulotomy patients
Giff A, Noren G, Magnotti J, Lopes A, Batistuzzo M, Hoexter M, Greenberg B, Marsland R, Miguel E, Rasmussen S, McLaughlin N. Spatial normalization discrepancies between native and MNI152 brain template scans in gamma ventral capsulotomy patients. Psychiatry Research Neuroimaging 2023, 329: 111595. PMID: 36680842, PMCID: PMC10153791, DOI: 10.1016/j.pscychresns.2023.111595.Peer-Reviewed Original Research
2022
Shape analysis of subcortical structures in obsessive‐compulsive disorder and the relationship with comorbid anxiety, depression, and medication use: A meta‐analysis by the OCD Brain Imaging Consortium
Fouche J, Groenewold N, Sevenoaks T, Heany S, Lochner C, Alonso P, Batistuzzo M, Cardoner N, Ching C, de Wit S, Gutman B, Hoexter M, Jahanshad N, Kim M, Kwon J, Mataix‐Cols D, Menchon J, Miguel E, Nakamae T, Phillips M, Pujol J, Sakai Y, Yun J, Soriano‐Mas C, Thompson P, Yamada K, Veltman D, van den Heuvel O, Stein D. Shape analysis of subcortical structures in obsessive‐compulsive disorder and the relationship with comorbid anxiety, depression, and medication use: A meta‐analysis by the OCD Brain Imaging Consortium. Brain And Behavior 2022, 12: e2755. PMID: 36106505, PMCID: PMC9575597, DOI: 10.1002/brb3.2755.Peer-Reviewed Original ResearchMeSH KeywordsAnxietyBrainComorbidityDepressionHumansMagnetic Resonance ImagingNeuroimagingObsessive-Compulsive DisorderConceptsCaudate nucleusHealthy controlsOCD patientsComorbid depressionMedication statusComorbid anxietySubcortical shapeSignificant differencesDeep gray matter structuresRight caudate nucleusCo-morbid anxietyLeft caudate nucleusObsessive-compulsive disorder patientsSubcortical brain morphologyGray matter structuresDisease durationMedication useObsessive-compulsive disorderSubgroup analysisBrain MRINucleus accumbensDisorder patientsPatientsBrain volumePutamenGlobal multi‐center and multi‐modal magnetic resonance imaging study of obsessive‐compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms
Pouwels P, Vriend C, Liu F, de Joode N, Otaduy M, Pastorello B, Robertson F, Venkatasubramanian G, Ipser J, Lee S, Batistuzzo M, Hoexter M, Lochner C, Miguel E, Narayanaswamy J, Rao R, Reddy Y, Shavitt R, Sheshachala K, Stein D, van Balkom A, Wall M, Simpson H, van den Heuvel O. Global multi‐center and multi‐modal magnetic resonance imaging study of obsessive‐compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms. International Journal Of Methods In Psychiatric Research 2022, 32: e1931. PMID: 35971639, PMCID: PMC9976605, DOI: 10.1002/mpr.1931.Peer-Reviewed Original ResearchNeurocircuit models of obsessive-compulsive disorder: limitations and future directions for research
Shephard E, Batistuzzo M, Hoexter M, Stern E, Zuccolo P, Ogawa C, Silva R, Brunoni A, Costa D, Doretto V, Saraiva L, Cappi C, Shavitt R, Simpson H, van den Heuvel O, Miguel E. Neurocircuit models of obsessive-compulsive disorder: limitations and future directions for research. Brazilian Journal Of Psychiatry 2022, 44: 187-200. PMID: 35617698, PMCID: PMC9041967, DOI: 10.1590/1516-4446-2020-1709.Peer-Reviewed Original ResearchMeSH KeywordsCognitionCompulsive BehaviorHumansNeuroimagingObsessive BehaviorObsessive-Compulsive DisorderConceptsObsessive-compulsive disorderCourse of OCDCognitive mechanismsCommon psychiatric conditionsSpecific neurocircuitsCognitive functionNeurocognitive functionPsychiatric conditionsFuture researchComplexity of brainFuture directionsDisordersCurrent reviewNeuroscienceNeurocircuitsCompulsionResearchSymptomatologyObsessionExperiences of patientsExperienceImportant limitationsPresentationBetter understandingBrain
2021
Toward a neurocircuit-based taxonomy to guide treatment of obsessive–compulsive disorder
Shephard E, Stern E, van den Heuvel O, Costa D, Batistuzzo M, Godoy P, Lopes A, Brunoni A, Hoexter M, Shavitt R, Reddy Y, Lochner C, Stein D, Simpson H, Miguel E. Toward a neurocircuit-based taxonomy to guide treatment of obsessive–compulsive disorder. Molecular Psychiatry 2021, 26: 4583-4604. PMID: 33414496, PMCID: PMC8260628, DOI: 10.1038/s41380-020-01007-8.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderCognitive neuroscienceNeurobiological alterationsMental health researchClinical profileFuture researchCase vignettesPsychiatric symptomsNeuromodulatory treatmentDifferent clinical profilesNeuroscienceEffective treatmentDisordersResearchBehavioralVignettesFindingsHealth researchTreatmentDysfunctionSymptomsPhenotypic expressionImportant limitationsTaxonomyPatients
2020
Exploring response inhibition and error monitoring in obsessive-compulsive disorder
Silveira V, Frydman I, Fontenelle L, Mattos P, de Oliveira-Souza R, Moll J, Hoexter M, Miguel E, McLaughlin N, Shephard E, Batistuzzo M. Exploring response inhibition and error monitoring in obsessive-compulsive disorder. Journal Of Psychiatric Research 2020, 126: 26-33. PMID: 32413597, PMCID: PMC7313630, DOI: 10.1016/j.jpsychires.2020.04.002.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrazilHumansInhibition, PsychologicalLinear ModelsNeuroimagingObsessive-Compulsive DisorderConceptsObsessive-compulsive disorderError monitoringNon-psychiatric controlsResponse inhibitionStop-signal taskBehavioral evidenceEffect sizeRecent neuroimaging workImpaired response inhibitionPreliminary behavioral evidenceMedium effect sizeLarge effect sizesNeuroimaging workBehavioral measuresSmall effect sizesPossible moderatorsOCD severitySymptomatic patientsClinical factorsEM performancePossible associationDifferential effectsAn 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
Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents
Sato J, Biazoli C, Moura L, Crossley N, Zugman A, Picon F, Hoexter M, Amaro E, Miguel E, Rohde L, Bressan R, Jackowski A. Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents. Brain Connectivity 2019, 9: 379-387. PMID: 30880423, DOI: 10.1089/brain.2018.0628.Peer-Reviewed Original ResearchConceptsFractional amplitudeBrain functional changesPosterior cingulate/precuneusLateral parietal cortexParietal cortexNeurodevelopmental studiesFunctional changesLow-frequency fluctuationsBOLD signalClinical populationsLarge independent samplesSpontaneous fluctuationsIntra-subject correlationNeurophysiological correlatesGroup levelIndependent samples
2017
Association and Causation in Brain Imaging in the Case of OCD: Response to McKay et al.
Boedhoe P, Schmaal L, Mataix-Cols D, Jahanshad N, Thompson P, Stein D, van den Heuvel O, Abe Y, Alonso P, Ameis S, Arnold P, Bargalló N, Batistuzzo M, Benedetti F, Beucke J, Boedhoe P, Bollettini I, Bose A, Brem S, Busatto G, Calvo A, Calvo R, Cath D, Cheng Y, Cho K, Dallaspezia S, de Vries F, de Wit S, Denys D, Fang Y, Fitzgerald K, Fontaine M, Fouche J, Giménez M, Gruner P, Hanna G, Hibar D, Hoexter M, Hu H, Huyser C, Ikari K, Jahanshad N, Kathmann N, Kaufmann C, Khadka S, Koch K, Kwon J, Lazaro L, Liu Y, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón J, Miguel E, Minuzzii L, Morer A, Nakamae T, Nakao T, Narayanaswamy J, Piras F, Piras F, Pittenger C, Reddy Y, Sato J, Simpson H, Schmaal L, Soreni N, Soriano-Mas C, Spalletta G, Stein D, Stevens M, Szeszko P, Thompson P, Tolin D, Veltman D, Venkatasubramanian G, van den Heuvel O, van der Werf Y, van Wingen G, Walitza S, Wang Z, Xu J, Xu X, Yun J, Zhao Q. Association and Causation in Brain Imaging in the Case of OCD: Response to McKay et al. American Journal Of Psychiatry 2017, 174: 597-599. PMID: 28565945, PMCID: PMC6546159, DOI: 10.1176/appi.ajp.2017.17010019r.Peer-Reviewed Original Research
2016
Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis
Boedhoe PS, Schmaal L, Abe Y, Ameis SH, Arnold PD, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Bose A, Brem S, Calvo A, Cheng Y, Cho KI, Dallaspezia S, Denys D, Fitzgerald KD, Fouche JP, Giménez M, Gruner P, Hanna GL, Hibar DP, Hoexter MQ, Hu H, Huyser C, Ikari K, Jahanshad N, Kathmann N, Kaufmann C, Koch K, Kwon JS, Lazaro L, Liu Y, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minuzzi L, Nakamae T, Nakao T, Narayanaswamy JC, Piras F, Piras F, Pittenger C, Reddy YC, Sato JR, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stevens MC, Szeszko PR, Tolin DF, Venkatasubramanian G, Walitza S, Wang Z, van Wingen GA, Xu J, Xu X, Yun JY, Zhao Q, Thompson P, Stein D, van den Heuvel O, Abe Y, Alonso P, Ameis S, Arnold P, Bargalló N, Batistuzzo M, Benedetti F, Beucke J, Boedhoe P, Bollettini I, Bose A, Brem S, Busatto G, Calvo A, Calvo R, Cath D, Cheng Y, Cho K, Dallaspezia S, de Vries F, de Wit S, Denys D, Fang Y, Fitzgerald K, Fontaine M, Fouche J, Giménez M, Gruner P, Hanna G, Hibar D, Hoexter M, Hu H, Huyser C, Ikari K, Jahanshad N, Kathmann N, Kaufmann C, Khadka S, Koch K, Kwon J, Lazaro L, Liu Y, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón J, Miguel E, Minuzzii L, Morer A, Nakamae T, Nakao T, Narayanaswamy J, Piras F, Piras F, Pittenger C, Reddy Y, Sato J, Simpson H, Schmaal L, Soreni N, Soriano-Mas C, Spalletta G, Stein D, Stevens M, Szeszko P, Thompson P, Tolin D, Veltman D, Venkatasubramanian G, van den Heuvel O, van der Werf Y, van Wingen G, Walitza S, Wang Z, Xu J, Xu X, Yun J, Zhao Q. Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis. American Journal Of Psychiatry 2016, 174: 60-69. PMID: 27609241, PMCID: PMC5344782, DOI: 10.1176/appi.ajp.2016.16020201.Peer-Reviewed Original ResearchConceptsAdult obsessive-compulsive disorderObsessive-compulsive disorderOCD patientsLarger thalamic volumesSubcortical volume alterationsSmaller hippocampal volumesAdult OCD patientsPediatric obsessive-compulsive disorderPotential modulating effectSubcortical brain volumesLimited statistical powerPallidum volumeClinical characteristicsAdult patientsPediatric patientsMean ageThalamic volumeControl subjectsPediatric controlsSubcortical abnormalitiesIllness profileHippocampal volumeHealthy subjectsNeurodevelopmental alterationsPatients
2014
High risk cohort study for psychiatric disorders in childhood: rationale, design, methods and preliminary results
Salum G, Gadelha A, Pan P, Moriyama T, Graeff‐Martins A, Tamanaha A, Alvarenga P, Krieger F, Fleitlich‐Bilyk B, Jackowski A, Sato J, Brietzke E, Polanczyk G, Brentani H, de Jesus Mari J, Do Rosário M, Manfro G, Bressan R, Mercadante M, Miguel E, Rohde L. High risk cohort study for psychiatric disorders in childhood: rationale, design, methods and preliminary results. International Journal Of Methods In Psychiatric Research 2014, 24: 58-73. PMID: 25469819, PMCID: PMC6878239, DOI: 10.1002/mpr.1459.Peer-Reviewed Original ResearchConceptsHigh Risk Cohort StudyMental disordersCohort studyPsychiatric disordersHigh-risk stratumChild mental disordersChildhood psychiatric disordersUseful clinical informationDiagnostic instrumentHigh riskClinical informationScreening instrumentFamily psychopathologyDisordersBaseline phaseScreening procedureChild psychiatryChildrenParticipation ratesPreliminary resultsPrevalenceStudyFamily ratesMulticenter 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
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
Differential prefrontal gray matter correlates of treatment response to fluoxetine or cognitive-behavioral therapy in obsessive–compulsive disorder
Hoexter M, Dougherty D, Shavitt R, D'Alcante C, Duran F, Lopes A, Diniz J, Batistuzzo M, Evans K, Bressan R, Busatto G, Miguel E. Differential prefrontal gray matter correlates of treatment response to fluoxetine or cognitive-behavioral therapy in obsessive–compulsive disorder. European Neuropsychopharmacology 2012, 23: 569-580. PMID: 22841131, DOI: 10.1016/j.euroneuro.2012.06.014.Peer-Reviewed Original ResearchConceptsGray matter volumeMedial prefrontal cortexCognitive behavioral therapyObsessive-compulsive disorderTreatment responseTreatment-naïve OCD patientsTreatment groupsMagnetic resonance imagingMatter volumeOrbitofrontal cortexLateral orbitofrontal cortexSymptom improvementOCD patientsFluoxetine treatment groupTrial of fluoxetineSerotonin reuptake inhibitorsAdequate therapeutic approachStructural magnetic resonance imagingCBT treatment groupRight medial prefrontal cortexGroup-based cognitive behavioral therapyRegional gray matter volumeStructural MRI scansDistinct brain regionsYale-Brown Obsessive