A 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