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