Human adolescent brain similarity development is different for paralimbic versus neocortical zones
Dorfschmidt L, Váša F, White S, Romero-García R, Kitzbichler M, Alexander-Bloch A, Cieslak M, Mehta K, Satterthwaite T, Consortium T, Bethlehem R, Seidlitz J, Vértes P, Bullmore E, Bullmore E, Dolan R, Goodyer I, Fonagy P, Jones P, Moutoussis M, Hauser T, Neufeld S, Romero-Garcia R, St Clair M, Vértes P, Whitaker K, Inkster B, Prabhu G, Ooi C, Toseeb U, Widmer B, Bhatti J, Villis L, Alrumaithi A, Birt S, Bowler A, Cleridou K, Dadabhoy H, Davies E, Firkins A, Granville S, Harding E, Hopkins A, Isaacs D, King J, Kokorikou D, Maurice C, McIntosh C, Memarzia J, Mills H, O’Donnell C, Pantaleone S, Scott J, Kiddle B, Polek E, Fearon P, Suckling J, van Harmelen A, Kievit R, Chamberlain S, Bethlehem R. Human adolescent brain similarity development is different for paralimbic versus neocortical zones. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2314074121. PMID: 39121162, PMCID: PMC11331068, DOI: 10.1073/pnas.2314074121.Peer-Reviewed Original ResearchConceptsMorphometric similarity networksFunctional connectivityNeocortical areasCortical areasFunctional MRI scansCourse of adolescenceAccelerated longitudinal designMagnetic resonance imagingStructure-function couplingCingulate cortexParalimbic areasInteroceptive functionAssociated with increased strengthIncreased hubnessFMRI networksStructural scansLongitudinal designCortical thinningDevelopment of human brainAdolescent developmentMorphometric similarityHealthy adolescentsAssociated with reduced strengthHuman brainCortexA machine-learning approach for differentiating borderline personality disorder from community participants with brain-wide functional connectivity
Lahnakoski J, Nolte T, Solway A, Vilares I, Hula A, Feigenbaum J, Lohrenz T, King-Casas B, Fonagy P, Montague P, Schilbach L. A machine-learning approach for differentiating borderline personality disorder from community participants with brain-wide functional connectivity. Journal Of Affective Disorders 2024, 360: 345-353. PMID: 38806064, DOI: 10.1016/j.jad.2024.05.125.Peer-Reviewed Original ResearchBorderline personality disorderPrediction of borderline personality disorderFunctional connectivityPersonality disorderBorderline personality disorder patientsBorderline personality disorder statusBrain-wide functional connectivityBiomarkers of psychiatric disordersFunctional connectivity markersFunctional connectivity patternsSelf-reported resultsClinical interviewPsychiatric disordersSomatomotor regionsChance levelSeed ROIConnectivity markersComparison correctionSeed regionConnectivity patternsDiscrimination performanceConnectivity valuesDisordersBorderlineGeneralizability