2018 · 13 citations · 38 references
Neurophysiological BiomarkersPotential BiomarkersClassification PerformanceEpilepsyCandidate BiomarkersSocial SciencesSubcortical Ischemic DepressionNeurologyPsychiatryDepressionNeuroimagingBrain ImagingDepression DisorderMood SpectrumNeuroimaging BiomarkersMental Health MonitoringMri-based DiagnosticsBiomarkersDepression ConcomitantNeuroscienceBiological PsychiatryMedicinePsychopathology
In the present work, we study the candidate biomarkers for the depression disorder and the depression + epilepsy comorbidity. Building on the advanced data analysis pipeline, we identify candidate biomarkers, compare them across tasks and to the previous research. The classification performance achieved by our system compares favourably to the one reported in literature, where longer scanning sessions and stronger magnetic fields were employed.
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Bruce Fischl, David H. Salat, Evelina Busa et al. · Neuron · 2002 · 8.8K citations · Full text
Whole Brain Segmentation, Engineering, Neuroimaging Modality +7
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Andrew T. Drysdale, Logan Grosenick, Jonathan Downar et al. · Nature Medicine · 2016 · 2.1K citations · Full text
Hand classification of fMRI ICA noise components
Ludovica Griffanti, Gwenaëlle Douaud, Janine Bijsterbosch et al. · NeuroImage · 2016 · 606 citations · Full text