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 ResearchConceptsCingulo-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 association
2022
Expanding the heuristic neurocircuit-based taxonomy to guide treatment for OCD: reply to the commentary “Probing the genetic and molecular correlates of connectome alterations in 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, Janardhan Reddy Y, Lochner C, Stein D, Simpson H, Miguel E. Expanding the heuristic neurocircuit-based taxonomy to guide treatment for OCD: reply to the commentary “Probing the genetic and molecular correlates of connectome alterations in obsessive-compulsive disorder”. Molecular Psychiatry 2022, 27: 3560-3561. PMID: 35665765, DOI: 10.1038/s41380-022-01645-0.Peer-Reviewed Original Research
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
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 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
2016
Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation
Sato J, Biazoli C, Salum G, Gadelha A, Crossley N, Vieira G, Zugman A, Picon F, Pan P, Hoexter M, Anés M, Moura L, Del’Aquilla M, Amaro E, Mcguire P, Rohde L, Miguel E, Bressan R, Jackowski A. Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation. Developmental Cognitive Neuroscience 2016, 20: 2-11. PMID: 27288820, PMCID: PMC6987719, DOI: 10.1016/j.dcn.2016.05.002.Peer-Reviewed Original ResearchConceptsAnterior medial prefrontal cortexPsychiatric symptomsLarge-scale functional networksBrain hubsMental disordersHub regionsMedial prefrontal cortexResting-state fMRIFunctional cortical networksIndependent population-based samplesRight IPSPopulation-based sampleIntraparietal sulcusBrain networksPrefrontal cortexCortical networksIntegrative regionsFunctional networksAdolescentsLow centralitySymptomsChildrenDisordersReplicabilityInteresting target