Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression-Reference-Cited by-同舟云学术

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Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression

Published:2015-08 Issue:2 Volume:233 Page:289-291
ISSN:0925-4927
Container-title:Psychiatry Research: Neuroimaging
language:en
Short-container-title:Psychiatry Research: Neuroimaging

Author:

Sato João R.,Moll Jorge,Green Sophie,Deakin John F.W.,Thomaz Carlos E.,Zahn Roland

Funder

MRC Clinician Scientist Fellowship

FAPESP

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Radiology Nuclear Medicine and imaging,Neuroscience (miscellaneous)

Reference16 articles.

1. Diagnostic and Statistical Manual of Mental Disorders;American-Psychiatric-Association,2000

2. It’s not over when it’s over: persistent neurobiological abnormalities in recovered depressed patients;Bhagwagar;Psychol. Med.,2008

3. Identification of neural connectivity signatures of autism using machine learning;Deshpande;Front. Hum. Neurosci.,2013

4. Population-based study of first onset and chronicity in major depressive disorder;Eaton;Arch. Gen. Psychiatry,2008

5. Psychophysiological and modulatory interactions in neuroimaging;Friston;Neuroimage,1997

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