BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250809T153517EDT-9574CCE85n@132.216.98.100 DTSTAMP:20250809T193517Z DESCRIPTION:'Resting-state connectivity biomarkers define neurophysiologica l subtypes of depression'\n\nConor Liston (Weill Cornell Medicine)\n Tuesda y November 27\, 12-1pm\n Montreal Neurological Institute\, Jeanne Timmins A mphitheatre\n \n Abstract: Biomarkers have transformed modern medicine but r emain largely elusive in psychiatry\, partly because there is a weak corre spondence between diagnostic labels and their neurobiological substrates. Like other neuropsychiatric disorders\, depression is not a unitary diseas e\, but rather a heterogeneous syndrome that encompasses varied\, co-occur ring symptoms and divergent responses to treatment. By using functional ma gnetic resonance imaging (fMRI) in a large multisite sample (n = 1\,188)\, we show here that patients with depression can be subdivided into four ne urophysiological subtypes (‘biotypes’) defined by distinct patterns of dys functional connectivity in limbic and frontostriatal networks. Clustering patients on this basis enabled the development of diagnostic classifiers ( biomarkers) with high (82–93%) sensitivity and specificity for depression subtypes in multisite validation (n = 711) and out-of-sample replication ( n = 477) data sets. These biotypes cannot be differentiated solely on the basis of clinical features\, but they are associated with differing clinic al-symptom profiles. They also predict responsiveness to transcranial magn etic stimulation therapy (n = 154). Our results define novel subtypes of d epression that transcend current diagnostic boundaries and may be useful f or identifying the individuals who are most likely to benefit from targete d neurostimulation therapies.\n DTSTART:20181127T170000Z DTEND:20181127T180000Z LOCATION:Jeanne Timmins Amphitheatre\, Montreal Neurological Institute\, CA \, QC\, Montreal\, H3A 2B4\, 3801 rue University SUMMARY:Seminar Series in Quantitative Life Sciences and Medicine URL:/qls/channels/event/seminar-series-quantitative-li fe-sciences-and-medicine-291741 END:VEVENT END:VCALENDAR