Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.
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Prefrontal gray matter volume mediates genetic risks for obesityRecent advances in predicting responses to antidepressant treatmentBrain volumetric and metabolic correlates of electroconvulsive therapy for treatment-resistant depression: a longitudinal neuroimaging studyElectroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition studyCortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.Trajectories of major depression disorders: A systematic review of longitudinal neuroimaging findings.Antidepressant Effects of Electroconvulsive Therapy Unrelated to the Brain's Functional Network Connectivity alterations at an Individual LevelThe Global ECT-MRI Research Collaboration (GEMRIC): Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy.SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets.Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis.A voxel-based diffusion tensor imaging study in unipolar and bipolar depression.Effects of electroconvulsive therapy on amygdala function in major depression - a longitudinal functional magnetic resonance imaging study.Unreliability of putative fMRI biomarkers during emotional face processing.The Multifaceted Role of the Ventromedial Prefrontal Cortex in Emotion, Decision Making, Social Cognition, and Psychopathology.Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder.The Limbic System in Youth Depression: Brain Structural and Functional Alterations in Adolescent In-patients with Severe Depression.Differential Abnormal Pattern of Anterior Cingulate Gyrus Activation in Unipolar and Bipolar Depression: an fMRI and Pattern Classification Approach.TNF receptors 1 and 2 exert distinct region-specific effects on striatal and hippocampal grey matter volumes (VBM) in healthy adults.Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.Fronto-Temporal Connectivity Predicts ECT Outcome in Major Depression.Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosisPre-treatment Resting-State Functional MR Imaging Predicts the Long-Term Clinical Outcome After Short-Term Paroxtine Treatment in Post-traumatic Stress DisorderDisrupted asymmetry of inter- and intra-hemispheric functional connectivity in patients with drug-naive, first-episode schizophrenia and their unaffected siblings
P2860
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P2860
Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@ast
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@en
type
label
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@ast
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@en
prefLabel
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@ast
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@en
P2093
P1433
P1476
Prediction of Individual Respo ...... gnetic Resonance Imaging Data.
@en
P2093
Christian Bürger
Dario Zaremba
Dominik Grotegerd
Harald Kugel
Judith Alferink
Katharina Dohm
Lisa Mühlmann
Patricia Wahl
Peter Zwanzger
P304
P356
10.1001/JAMAPSYCHIATRY.2016.0316
P407
P577
2016-05-04T00:00:00Z