Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Pattern classification of valence in depression

Habes, Isabelle, Krall, Sarah C., Johnston, S. J., Yuen, K. S. L., Healy, David, Goebel, R., Sorger, B. and Linden, David Edmund Johannes 2013. Pattern classification of valence in depression. NeuroImage: Clinical 2 , pp. 675-683. 10.1016/j.nicl.2013.05.001

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (737kB) | Preview

Abstract

Neuroimaging biomarkers of depression have potential to aid diagnosis, identify individuals at risk and predict treatment response or course of illness. Nevertheless none have been identified so far, potentially because no single brain parameter captures the complexity of the pathophysiology of depression. Multi-voxel pattern analysis (MVPA) may overcome this issue as it can identify patterns of voxels that are spatially distributed across the brain. Here we present the results of an MVPA to investigate the neuronal patterns underlying passive viewing of positive, negative and neutral pictures in depressed patients. A linear support vector machine (SVM) was trained to discriminate different valence conditions based on the functional magnetic resonance imaging (fMRI) data of nine unipolar depressed patients. A similar dataset obtained in nine healthy individuals was included to conduct a group classification analysis via linear discriminant analysis (LDA). Accuracy scores of 86% or higher were obtained for each valence contrast via patterns that included limbic areas such as the amygdala and frontal areas such as the ventrolateral prefrontal cortex. The LDA identified two areas (the dorsomedial prefrontal cortex and caudate nucleus) that allowed group classification with 72.2% accuracy. Our preliminary findings suggest that MVPA can identify stable valence patterns, with more sensitivity than univariate analysis, in depressed participants and that it may be possible to discriminate between healthy and depressed individuals based on differences in the brain's response to emotional cues.

Item Type: Article
Date Type: Publication
Status: Published
Schools: MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Cardiff University Brain Research Imaging Centre (CUBRIC)
Medicine
Neuroscience and Mental Health Research Institute (NMHRI)
Publisher: Elsevier
ISSN: 2213-1582
Funders: MRC
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: May 2013
Last Modified: 04 Jun 2017 06:35
URI: http://orca.cf.ac.uk/id/eprint/62480

Citation Data

Cited 4 times in Google Scholar. View in Google Scholar

Cited 14 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics