SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data

(2017) Xing Meng et al.   NEUROIMAGE

Structural Plasticity of the Hippocampus and Amygdala Induced by Electroconvulsive Therapy in Major Depression

(2016) Shantanu H. Joshi et al.   BIOLOGICAL PSYCHIATRY

Opportunities for the Cardiovascular Community in the Precision Medicine Initiative: Table.

(2016) Svati H. Shah et al.   CIRCULATION

Resting-state connectivity biomarkers define neurophysiological subtypes of depression

(2016) Andrew T Drysdale et al.   NATURE MEDICINE

Domain adaptation for Alzheimer's disease diagnostics

(2016) Christian Wachinger et al.   NEUROIMAGE

Effect of Electroconvulsive Therapy on Striatal Morphometry in Major Depressive Disorder

(2016) Benjamin S C Wade et al.   NEUROPSYCHOPHARMACOLOGY

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

(2016) Ronny Redlich et al.   JAMA Psychiatry

Subgenual cingulate cortical activity predicts the efficacy of electroconvulsive therapy

(2016) M Argyelan et al.   Translational Psychiatry

Response of Depression to Electroconvulsive Therapy

(2015) Aazaz U. Haq et al.   JOURNAL OF CLINICAL PSYCHIATRY

Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience

(2015) John D.E. Gabrieli et al.   NEURON

A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression

(2014) J A van Waarde et al.   MOLECULAR PSYCHIATRY

A Review of the Clinical, Economic, and Societal Burden of Treatment-Resistant Depression: 1996–2013

(2014) David A. Mrazek et al.   PSYCHIATRIC SERVICES

The structure of the geriatric depressed brain and response to electroconvulsive therapy

(2014) Mardien L. Oudega et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Patterns of Gray Matter Abnormalities in Schizophrenia Based on an International Mega-analysis

(2014) Cota Navin Gupta et al.   SCHIZOPHRENIA BULLETIN

Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response

(2014) Freek ten Doesschate et al.   Frontiers in Psychiatry

When Optimism Hurts: Inflated Predictions in Psychiatric Neuroimaging

(2013) Robert Whelan et al.   BIOLOGICAL PSYCHIATRY

Function–structure associations of the brain: Evidence from multimodal connectivity and covariance studies

(2013) Jing Sui et al.   NEUROIMAGE

Predictors of the short-term responder rate of Electroconvulsive therapy in depressive disorders - a population based study

(2012) Axel Nordenskjöld et al.   BMC Psychiatry

Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease

(2012) Matthew E Stokes et al.   BioData Mining

Gray matter abnormalities in Major Depressive Disorder: A meta-analysis of voxel based morphometry studies

(2011) Emre Bora et al.   JOURNAL OF AFFECTIVE DISORDERS

Antidepressant Pharmacotherapy Failure and Response to Subsequent Electroconvulsive Therapy

(2010) Willemijn T. Heijnen et al.   JOURNAL OF CLINICAL PSYCHOPHARMACOLOGY

Penalized least squares regression methods and applications to neuroimaging

(2010) Florentina Bunea et al.   NEUROIMAGE

Effect of Concomitant Pharmacotherapy on Electroconvulsive Therapy Outcomes

(2009) Harold A. Sackeim et al.   ARCHIVES OF GENERAL PSYCHIATRY

A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI data

(2009) Evanthia E. Tripoliti et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression

(2009) Sergi G. Costafreda et al.   PLoS One