2023
Polygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample
Sato J, Biazoli C, Bueno A, Caye A, Pan P, Santoro M, Honorato‐Mauer J, Salum G, Hoexter M, Bressan R, Jackowski A, Miguel E, Belangero S, Rohde L. Polygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample. Genes Brain & Behavior 2023, 22: e12838. PMID: 36811275, PMCID: PMC10067387, DOI: 10.1111/gbb.12838.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAttention Deficit Disorder with HyperactivityBrainChildConnectomeHumansMagnetic Resonance ImagingNeural PathwaysRisk FactorsConceptsCingulo-opercular networkDefault mode networkADHD-PRSAttentional networksFunctional segregationAttention-deficit/hyperactivity disorder (ADHD) symptomsAttention-deficit/hyperactivity disorderLarge-scale brain networksADHD polygenic risk scoresHyperactivity disorder symptomsSegregation of networksFunctional network segregationLongitudinal community-based cohortAttentional processesRs-fMRI dataExecutive functionHyperactivity disorderDisorder symptomsBrain networksCommunity-based sampleProbable ADHDADHDNetwork segregationPolygenic risk scoresDirection of associationSpatial 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 ResearchBrainFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingObsessive-Compulsive DisorderRetrospective Studies
2022
Right Prefrontal Cortical Thickness Is Associated With Response to Cognitive-Behavioral Therapy in Children With Obsessive-Compulsive Disorder
Bertolín S, Alonso P, Martínez-Zalacaín I, Menchón J, Jimenez-Murcia S, Baker J, Bargalló N, Batistuzzo M, Boedhoe P, Brennan B, Feusner J, Fitzgerald K, Fontaine M, Hansen B, Hirano Y, Hoexter M, Huyser C, Jahanshad N, Jaspers-Fayer F, Kuno M, Kvale G, Lazaro L, Machado-Sousa M, Marsh R, Morgado P, Nakagawa A, Norman L, Nurmi E, O’Neill J, Ortiz A, Perriello C, Piacentini J, Picó-Pérez M, Shavitt R, Shimizu E, Simpson H, Stewart S, Thomopoulos S, Thorsen A, Walitza S, Wolters L, Group E, Real E, Segalas C, Morer A, Brem S, Ferreira S, Moreira P, Hagen K, Hamatani S, Takahashi J, Yoshida T, de Mathis M, Miguel E, Pariente J, Tang J, Thompson P, van den Heuvel O, Stein D, Soriano-Mas C. Right Prefrontal Cortical Thickness Is Associated With Response to Cognitive-Behavioral Therapy in Children With Obsessive-Compulsive Disorder. Journal Of The American Academy Of Child & Adolescent Psychiatry 2022, 62: 403-414. PMID: 36526161, PMCID: PMC10065927, DOI: 10.1016/j.jaac.2022.07.865.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultChildChild, PreschoolCognitive Behavioral TherapyFrontal LobeHumansMagnetic Resonance ImagingObsessive-Compulsive DisorderPrefrontal CortexConceptsCognitive behavioral therapyObsessive-compulsive disorderCBT responseCortical thicknessMagnetic Resonance Imaging PredictorsBaseline cortical thicknessPrefrontal cortex thicknessFirst-line treatmentRostral middle frontal gyrusPrefrontal cortical thicknessIdentification of predictorsHigher cortical thicknessMiddle frontal gyrusRight prefrontal cortexCortical surface areaMechanism of actionAdult patientsImaging predictorsPrefrontal cortex regionsClinical managementLarge seriesSubcortical volumesAdult populationFrontal polePrefrontal cortexShape 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 volumePutamenAssociations of medication with subcortical morphology across the lifespan in OCD: Results from the international ENIGMA Consortium
Ivanov I, Boedhoe PSW, Abe Y, Alonso P, Ameis SH, Arnold PD, Balachander S, Baker JT, Banaj N, Bargalló N, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Brem S, Brennan BP, Buitelaar J, Calvo R, Cheng Y, Cho KIK, Dallaspezia S, Denys D, Diniz JB, Ely BA, Feusner JD, Ferreira S, Fitzgerald KD, Fontaine M, Gruner P, Hanna GL, Hirano Y, Hoexter MQ, Huyser C, Ikari K, James A, Jaspers-Fayer F, Jiang H, Kathmann N, Kaufmann C, Kim M, Koch K, Kwon JS, Lázaro L, Liu Y, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minuzzi L, Morer A, Morgado P, Nakagawa A, Nakamae T, Nakao T, Narayanaswamy JC, Nurmi EL, Oh S, Perriello C, Piacentini JC, Picó-Pérez M, Piras F, Piras F, Reddy YCJ, Manrique DR, Sakai Y, Shimizu E, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Tolin DF, van Rooij D, Veltman DJ, van der Werf YD, van Wingen GA, Venkatasubramanian G, Walitza S, Wang Z, Watanabe A, Wolters LH, Xu X, Yun JY, Zarei M, Zhang F, Zhao Q, Jahanshad N, Thomopoulos SI, Thompson PM, Stein DJ, van den Heuvel OA, O'Neill J, Group T, Poletti S, Fridgeirsson E, Ikuta T, de Wit S, Vriend C, Kasprzak S, Kuno M, Takahashi J, Miguel E, Shavitt R, Hough M, Pariente J, Ortiz A, Bertolín S, Real E, Segalàs C, Moreira P, Sousa N, Narumoto J, Yamada K, Tang J, Fouche J, Kim T, Choi S, Ha M, Park S. Associations of medication with subcortical morphology across the lifespan in OCD: Results from the international ENIGMA Consortium. Journal Of Affective Disorders 2022, 318: 204-216. PMID: 36041582, DOI: 10.1016/j.jad.2022.08.084.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderUnmedicated patientsOlder adultsAssociation of medicationVolumes of putamenSubcortical brain structuresReuptake inhibitorsVentricular hypertrophyHippocampal atrophyMedicated patientsPsychotropic medicationsTherapeutic responseHippocampal volumeStriatal volumeSubcortical nucleiPatientsPsychotic disordersAntipsychoticsSubcortical morphologyStructural MRINormal agingBrain structuresBenzodiazepinesOCD patientsENIGMA consortiumGlobal 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 ResearchAssociations between Family Functioning and Maternal Behavior on Default Mode Network Connectivity in School-Age Children
Rebello K, Moura L, Bueno A, Picon F, Pan P, Gadelha A, Miguel E, Bressan R, Rohde L, Sato J. Associations between Family Functioning and Maternal Behavior on Default Mode Network Connectivity in School-Age Children. International Journal Of Environmental Research And Public Health 2022, 19: 6055. PMID: 35627592, PMCID: PMC9141331, DOI: 10.3390/ijerph19106055.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBrain MappingDefault Mode NetworkFemaleGyrus CinguliHumansMagnetic Resonance ImagingMaternal BehaviorConceptsDefault mode networkFamily Environment ScaleSchool-aged childrenPosterior cingulate cortexMedial prefrontal cortexFamily environmentFunctional connectivityDMN functional connectivityCohesive familiesMaternal behaviorDefault mode network connectivityFunctional magnetic resonance imaging (fMRI) dataEarly child experiencesPositive maternal behaviorParent-child relationshipMode network connectivityBrain functional connectivityChild affectFamily functioningMaternal overprotectionEarly adolescenceFamily cohesivenessMode networkPrefrontal cortexFamily context
2021
Long‐term stability of the cortical volumetric profile and the functional human connectome throughout childhood and adolescence
Sato J, Biazoli C, Zugman A, Pan P, Bueno A, Moura L, Gadelha A, Picon F, Amaro E, Salum G, Miguel E, Rohde L, Bressan R, Jackowski A. Long‐term stability of the cortical volumetric profile and the functional human connectome throughout childhood and adolescence. European Journal Of Neuroscience 2021, 54: 6187-6201. PMID: 34460993, DOI: 10.1111/ejn.15435.Peer-Reviewed Original ResearchConceptsFunctional connectomeVolumetric profileLarge-scale functional networksDorsal attention networkBrain functional connectomeIdentification accuracyStructural brain featuresFunctional connectivity profilesProtracted developmentBrain featuresConnectivity profilesFunctional networksHuman connectomeConnectomeNeurodevelopmental processesLongitudinal cohortAdolescenceAdolescentsWhole brainSubject variabilityChildrenChildhoodLarge-scale networksScan intervalFunctional profiles
2020
Delayed Brain Cyst Formation After Gamma Knife Anterior Capsulotomy
Kasabkojian S, Dwan A, Maziero M, de Salles A, Gorgulho A, Miguel E, Fillipo de Queiroz Vattimo E, Lopes A. Delayed Brain Cyst Formation After Gamma Knife Anterior Capsulotomy. World Neurosurgery 2020, 145: 298-300. PMID: 33022431, DOI: 10.1016/j.wneu.2020.07.199.Peer-Reviewed Original ResearchConceptsRefractory obsessive-compulsive disorderAnterior capsulotomyObsessive-compulsive disorderBrain cyst formationFrontal lobe symptomsMagnetic resonance imagingAnterior frontal regionsPostoperative monthBrain cystsBrain edemaManic episodesVisual hallucinationsRadiosurgical proceduresAbnormal complicationsHigh dosesCapsulotomyResonance imagingObsessive-compulsive symptomsCyst formationEffective optionLeft hemisphereRight hemisphereFrontal regionsComplicationsSymptomsHigher volumes of hippocampal subfields in pediatric obsessive-compulsive disorder
Vattimo E, Dos Santos A, Hoexter M, Frudit P, Miguel E, Shavitt R, Batistuzzo M. Higher volumes of hippocampal subfields in pediatric obsessive-compulsive disorder. Psychiatry Research Neuroimaging 2020, 307: 111200. PMID: 33059948, DOI: 10.1016/j.pscychresns.2020.111200.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultChildHippocampusHumansMagnetic Resonance ImagingObsessive-Compulsive DisorderTemporal LobeConceptsObsessive-compulsive disorderHippocampal volumeTotal gray matter volumeRight whole hippocampusBilateral hippocampal headsLarger hippocampal volumesGray matter volumePediatric obsessive-compulsive disorderRight parasubiculumAdult patientsPediatric patientsHippocampal bodyAnatomic subregionsHippocampal headLimbic structuresHealthy controlsFreeSurfer softwareHippocampus volumeHippocampal subfieldsWhole hippocampusHippocampal cytoarchitectureEarly markerMatter volumePatientsSignificant larger volumesEffects of semantic categorization strategy training on episodic memory in children and adolescents
Miotto E, Balardin J, da Graça M. Martin M, Polanczyk G, Savage C, Miguel E, Batistuzzo M. Effects of semantic categorization strategy training on episodic memory in children and adolescents. PLOS ONE 2020, 15: e0228866. PMID: 32069310, PMCID: PMC7028277, DOI: 10.1371/journal.pone.0228866.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingEpisodic memoryPrefrontal cortexCognitive trainingStrategy trainingMiddle frontal gyrus activationDefault mode network areasVerbal episodic memoryImproved memory performanceRight frontal poleLateral orbital gyrusCategorization trainingSuccessful memoryExecutive processesNeural correlatesMemory performanceWord listsAnterior cingulateFrontal poleMemoryHigher activationBrain regionsAdolescentsOrbital gyrusBehavioral effectsToward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative
Simpson H, van den Heuvel O, Miguel E, Reddy Y, Stein D, Lewis-Fernández R, Shavitt R, Lochner C, Pouwels P, Narayanawamy J, Venkatasubramanian G, Hezel D, Vriend C, Batistuzzo M, Hoexter M, de Joode N, Costa D, de Mathis M, Sheshachala K, Narayan M, van Balkom A, Batelaan N, Venkataram S, Cherian A, Marincowitz C, Pannekoek N, Stovezky Y, Mare K, Liu F, Otaduy M, Pastorello B, Rao R, Katechis M, Van Meter P, Wall M. Toward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative. BMC Psychiatry 2020, 20: 68. PMID: 32059696, PMCID: PMC7023814, DOI: 10.1186/s12888-020-2439-2.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingCircuit abnormalitiesNew global initiativesBrain signaturesGlobal InitiativeHealthy control subjectsMedication-free adultsMultiple brain circuitsMedication-free subjectsBackgroundObsessive–compulsive disorderClinical profileClinical symptomsControl subjectsClinical evaluationHealthy controlsLeading causeGlobal disabilityLifetime prevalenceResonance imagingNeurocognitive assessmentBrain circuitsImaging signaturesFunctional connectivityBrain-behavior associationsDisease dimensions
2019
Are serum brain-derived neurotrophic factor concentrations related to brain structure and psychopathology in late childhood and early adolescence?
de Araujo C, Swardfager W, Zugman A, Cogo-Moreira H, Belangero S, Ota V, Spindola L, Hakonarson H, Pellegrino R, Gadelha A, Salum G, Pan P, Mansur R, Hoexter M, Picon F, Sato J, Brietzke E, Grassi-Oliveira R, Rohde L, Miguel E, Bressan R, Jackowski A. Are serum brain-derived neurotrophic factor concentrations related to brain structure and psychopathology in late childhood and early adolescence? CNS Spectrums 2019, 25: 790-796. PMID: 31845634, DOI: 10.1017/s1092852919001688.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBiomarkersBrainBrain-Derived Neurotrophic FactorChildFemaleGenotypeHumansMagnetic Resonance ImagingMaleMental DisordersPolymorphism, Single NucleotideConceptsSerum BDNF concentrationsBrain-derived neurotrophic factorBDNF concentrationsBDNF genotypeCortical thicknessPsychiatric disordersSerum brain-derived neurotrophic factor (BDNF) concentrationsBrain-derived neurotrophic factor concentrationSubcortical volumesMental disordersWell-Being Behavior AssessmentBrain structuresBDNF serum concentrationsNeurotrophic factor concentrationsPeripheral blood concentrationsHigh Risk Cohort StudyLate childhoodAdult psychiatric disordersLarge independent samplesCohort studyNeurotrophic factorCortical maturationSerum concentrationsBlood concentrationsMet carriersAssociation between spontaneous activity of the default mode network hubs and leukocyte telomere length in late childhood and early adolescence
Rebello K, Moura L, Xavier G, Spindola L, Carvalho C, Hoexter M, Gadelha A, Picon F, Pan P, Zugman A, Grassi-Oliveira R, Brietzke E, Belangero S, Salum G, Rohde L, Miguel E, Bressan R, Jackowski A, Sato J. Association between spontaneous activity of the default mode network hubs and leukocyte telomere length in late childhood and early adolescence. Journal Of Psychosomatic Research 2019, 127: 109864. PMID: 31706071, DOI: 10.1016/j.jpsychores.2019.109864.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBrain MappingChildFemaleHumansLeukocytesMagnetic Resonance ImagingMaleTelomereConceptsAdverse childhood experiencesMedial prefrontal cortexPosterior cingulate cortexDefault mode networkResting-state functional magnetic resonanceEarly life stressBrain's default mode networkFunctional magnetic resonanceBlood samplesSpontaneous activityDefault mode network hubCingulate cortexDMN hubsPsychiatric conditionsFamily environmentLength shorteningPrefrontal cortexMental healthFractional amplitudeLow-frequency fluctuationsMode networkFamily Environment ScaleHypothesis-driven studiesTelomere lengthLate childhoodAssociation 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 ResearchMeSH KeywordsAdolescentBrainBrain MappingBrazilChildConnectomeContrast MediaData AnalysisFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeuroimagingRestConceptsFractional amplitudeBrain functional changesPosterior cingulate/precuneusLateral parietal cortexParietal cortexNeurodevelopmental studiesFunctional changesLow-frequency fluctuationsBOLD signalClinical populationsLarge independent samplesSpontaneous fluctuationsIntra-subject correlationNeurophysiological correlatesGroup levelIndependent samplesMapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium
Kong XZ, Boedhoe PSW, Abe Y, Alonso P, Ameis SH, Arnold PD, Assogna F, Baker JT, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Bose A, Brem S, Brennan BP, Buitelaar J, Calvo R, Cheng Y, Cho KIK, Dallaspezia S, Denys D, Ely BA, Feusner J, Fitzgerald KD, Fouche JP, Fridgeirsson EA, Glahn DC, Gruner P, Gürsel DA, Hauser TU, Hirano Y, Hoexter MQ, Hu H, Huyser C, James A, Jaspers-Fayer F, Kathmann N, Kaufmann C, Koch K, Kuno M, Kvale G, Kwon JS, Lazaro L, Liu Y, Lochner C, Marques P, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Medland SE, Menchón JM, Minuzzi L, Moreira PS, Morer A, Morgado P, Nakagawa A, Nakamae T, Nakao T, Narayanaswamy JC, Nurmi EL, O'Neill J, Pariente JC, Perriello C, Piacentini J, Piras F, Piras F, Pittenger C, Reddy YCJ, Rus-Oswald OG, Sakai Y, Sato JR, Schmaal L, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Tolin DF, Tsuchiyagaito A, van Rooij D, van Wingen GA, Venkatasubramanian G, Wang Z, Yun JY, Group E, Kong X, Boedhoe P, Abe Y, Alonso P, Ameis S, Anticevic A, Arnold P, Assogna F, Baker J, Banaj N, Bargalló N, Batistuzzo M, Benedetti F, Beucke J, Bollettini I, Bose A, Brandeis D, Brem S, Brennan B, Buitelaar J, Busatto G, Calvo A, Calvo R, Cheng Y, Cho K, Ciullo V, Dallaspezia S, Denys D, de Vries F, de Wit S, Dickie E, Drechsler R, Ely B, Esteves M, Falini A, Fang Y, Feusner J, Figee M, Fitzgerald K, Fontaine M, Fouche J, Fridgeirsson E, Gruner P, Gürsel D, Hall G, Hamatani S, Hanna G, Hansen B, Hauser T, Hirano Y, Hoexter M, Hu H, Huyser C, Ikari K, Jahanshad N, James A, Jaspers-Fayer F, Kathmann N, Kaufmann C, Koch K, Kuno M, Kvale G, Kwon J, Lazaro L, Liu Y, Lochner C, Magalhães R, Marques P, Marsh R, Martínez-Zalacaín I, Masuda Y, Mataix-Cols D, Matsumoto K, McCracken J, Menchón J, Miguel E, Minuzzi L, Moreira P, Morer A, Morgado P, Nakagawa A, Nakamae T, Nakao T, Narayanaswamy J, Narumoto J, Nishida S, Nurmi E, O'Neill J, Pariente J, Perriello C, Piacentini J, Piras F, Piras F, Pittenger C, Poletti S, Reddy Y, Reess T, Rus-Oswald O, Sakai Y, Sato J, Schmaal L, Shimizu E, Simpson H, Soreni N, Soriano-Mas C, Sousa N, Spalletta G, Stern E, Stevens M, Stewart S, Szeszko P, Takahashi J, Tang J, Thorsen A, Tolin D, Tsuchiyagaito A, van Rooij D, van Wingen G, van der Werf Y, Veltman D, Vecchio D, Venkatasubramanian G, Walitza S, Wang Z, Watanabe A, Xu J, Xu X, Yamada K, Yoshida T, Yun J, Zarei M, Zhao Q, Zhou C, Thompson P, Stein D, van den Heuvel O, Francks C, Thompson P, Stein D, van den Heuvel O, Francks C. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium. Biological Psychiatry 2019, 87: 1022-1034. PMID: 31178097, PMCID: PMC7094802, DOI: 10.1016/j.biopsych.2019.04.022.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingChildHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingObsessive-Compulsive DisorderThalamusConceptsObsessive-compulsive disorderCase-control differencesBrain structural asymmetryMedication statusSubcortical structuresENIGMA consortiumSignificant case-control differencesRegional cortical thicknessPediatric obsessive-compulsive disorderPediatric datasetSubcortical asymmetriesDepression comorbidityCortical thicknessPotential associationLarger studyNeurodevelopmental processesVolume asymmetryBrain asymmetryAbnormal patternsDisordersPossible alterationsPutative linkOCD severityAsymmetry patternsMagnetic resonanceCaudate volume differences among treatment responders, non-responders and controls in children with obsessive–compulsive disorder
Vattimo E, Barros V, Requena G, Sato J, Fatori D, Miguel E, Shavitt R, Hoexter M, Batistuzzo M. Caudate volume differences among treatment responders, non-responders and controls in children with obsessive–compulsive disorder. European Child & Adolescent Psychiatry 2019, 28: 1607-1617. PMID: 30972581, DOI: 10.1007/s00787-019-01320-w.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBrainChildCognitive Behavioral TherapyFemaleGray MatterHumansMagnetic Resonance ImagingMaleObsessive-Compulsive DisorderConceptsObsessive-compulsive disorderGroup cognitive behavioral therapyPediatric obsessive-compulsive disorderRight caudateTreatment responseCognitive behavioral therapyCaudate nucleusPossible neural substrateTreatment respondersGM volumeStructural magnetic resonance imagingNeural substratesPrevious evidenceNeurobiological underpinningsOrbitofrontal cortexAge-matched controlsTotal GM volumeMagnetic resonance imagingBrain structuresResonance imagingChildrenRespondersBonferroni correctionCaudatePatientsSocioeconomic status in children is associated with spontaneous activity in right superior temporal gyrus
Biazoli C, Salum G, Gadelha A, Rebello K, Moura L, Pan P, Brietzke E, Miguel E, Rohde L, Bressan R, Jackowski A, Sato J. Socioeconomic status in children is associated with spontaneous activity in right superior temporal gyrus. Brain Imaging And Behavior 2019, 14: 961-970. PMID: 30868400, DOI: 10.1007/s11682-019-00073-z.Peer-Reviewed Original ResearchConceptsRight superior temporal gyrusSuperior temporal gyrusTemporal gyrusExtended language networkDifferent developmental trajectoriesBrain functional organizationSchool-based sampleFunctional organizationStructural neuroimaging findingsCognitive controlSocioeconomic statusLanguage networkExternalizing problemsInternalizing problemsDevelopmental trajectoriesEmotional problemsSpontaneous activityRegional spontaneous activityLanguage processingFMRI featuresBrain regionsBrain areasNeuroimaging findingsFunctional networksLinguistic environment
2018
Associations between children’s family environment, spontaneous brain oscillations, and emotional and behavioral problems
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, Bressan R, Jackowski A. Associations between children’s family environment, spontaneous brain oscillations, and emotional and behavioral problems. European Child & Adolescent Psychiatry 2018, 28: 835-845. PMID: 30392120, DOI: 10.1007/s00787-018-1240-y.Peer-Reviewed Original ResearchConceptsFamily environmentMental health outcomesFamily coherenceEmotional problemsOrbitofrontal cortexTemporal poleResting-state fMRI dataLeft temporal poleSpontaneous brain oscillationsChild's family environmentRight orbitofrontal cortexOscillatory neural activityHealth outcomesBrain oscillationsBehavioral problemsNeural activityFMRI dataFMRI metricsBrain areasLow-frequency fluctuationsFractional amplitudeLower incidenceSpontaneous activityHigh incidenceExploratory study
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 ResearchMeSH KeywordsBrain-Derived Neurotrophic FactorBrazilCerebral CortexChildChild DevelopmentCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMental DisordersPolymorphism, Single NucleotideConceptsPsychiatric 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 morphology