Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data
Open Access
- 6 November 2019
- journal article
- research article
- Published by Elsevier BV in NeuroImage: Clinical
- Vol. 26, 102080
- https://doi.org/10.1016/j.nicl.2019.102080
Abstract
No abstract availableKeywords
Funding Information
- National Science Foundation
- Foundation for the National Institutes of Health
This publication has 45 references indexed in Scilit:
- Methods to detect, characterize, and remove motion artifact in resting state fMRINeuroImage, 2014
- Electroconvulsive Therapy Response in Major Depressive Disorder: A Pilot Functional Network Connectivity Resting State fMRI InvestigationFrontiers in Psychiatry, 2013
- Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysisBrain, 2012
- Antidepressant Pharmacotherapy Failure and Response to Subsequent Electroconvulsive TherapyJournal of Clinical Psychopharmacology, 2010
- Prediction of Individual Brain Maturity Using fMRIScience, 2010
- A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI dataJournal of Biomedical Informatics, 2010
- A Comparison of Mirtazapine and Nortriptyline Following Two Consecutive Failed Medication Treatments for Depressed Outpatients: A STAR*D ReportAmerican Journal of Psychiatry, 2006
- Evaluation of Outcomes With Citalopram for Depression Using Measurement-Based Care in STAR*D: Implications for Clinical PracticeAmerican Journal of Psychiatry, 2006
- Speed of Response and Remission in Major Depressive Disorder With Acute Electroconvulsive Therapy (ECT)British Journal of Psychology, 2004
- Wrappers for feature subset selectionArtificial Intelligence, 1997