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Cited by 174Functional Brain Connectivity StudiesMental Health Research TopicsTranscranial Magnetic Stimulation Studies

Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression

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Lord, Anton, Horn, Dorothea, Breakspear, Michael, Walter, Martin·2012·PLoS ONE
DOI 10.1371/journal.pone.0041282PMC PMC3423402
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Abstract

Major depression is a prevalent disorder that imposes a significant burden on society, yet objective laboratory-style tests to assist in diagnosis are lacking. We employed network-based analyses of "resting state" functional neuroimaging data to ascertain group differences in the endogenous cortical activity between healthy and depressed subjects.We additionally sought to use machine learning techniques to explore the ability of these network-based measures of resting state activity to provide diagnostic information for depression. Resting state fMRI data were acquired from twenty two depressed outpatients and twenty two healthy subjects matched for age and gender. These data were anatomically parcellated and functional connectivity matrices were then derived using the linear correlations between the BOLD signal fluctuations of all pairs of cortical and subcortical regions.We characterised the hierarchical organization of these matrices using network-based matrics, with an emphasis on their mid-scale "modularity" arrangement. Whilst whole brain measures of organization did not differ between groups, a significant rearrangement of their community structure was observed. Furthermore we were able to classify individuals with a high level of accuracy using a support vector machine, primarily through the use of a modularity-based metric known as the participation index.In conclusion, the application of machine learning techniques to features of resting state fMRI network activity shows promising potential to assist in the diagnosis of major depression, now suggesting the need for validation in independent data sets.

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Cited by

Sorted by citations

Authors
Lord, A., Horn, D., Breakspear, M., & Walter, M.
Affiliations
  • The University of Queensland (AU)
  • Otto-von-Guericke-Universität Magdeburg (DE)
  • Black Dog Institute (AU)
  • Center for Behavioral Brain Sciences (DE)
Corresponding author
Lord, Anton
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2012-08-20
Volume
7
Issue
8
Pages
e41282
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0041282
PMC
PMC3423402
OpenAlex
W2061752069
Cited by
174
References
6
Citations by year
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FWCI
7.21
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Deutsche Forschungsgemeinschaft (SFB 779/A6, SFB 779)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Keywords
major depressive disorder, resting-state functional connectivity, community structure, network modularity, participation index, depression diagnosis, support vector machine classification, cortical activity, brain network organization
MeSH terms
Adult, Depression, Female, Humans, Magnetic Resonance Imaging, Male, Case-Control Studies

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