Meta-analysis of resting-state fMRI in depression: generating spatial hypotheses for potential clinical applications
- Published
- Accepted
- Subject Areas
- Neuroscience, Psychiatry and Psychology, Radiology and Medical Imaging
- Keywords
- Depression, Functional Neuroimaging, Depressive Disorder, Magnetic Resonance Imaging, Meta-analysis, subgenual ACC, Default Mode Network, Functional Connectivity, Spontaneous Activity
- Copyright
- © 2014 Sundermann et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. Meta-analysis of resting-state fMRI in depression: generating spatial hypotheses for potential clinical applications. PeerJ PrePrints 2:e412v1 https://doi.org/10.7287/peerj.preprints.412v1
Abstract
Information derived from functional magnetic resonance imaging (fMRI) during wakeful rest has been introduced as a candidate diagnostic biomarker in unipolar major depressive disorder (MDD). Multiple reports of resting state fMRI in MDD describe group effects. Such prior knowledge can be adopted to pre-select potentially discriminating features, for example for diagnostic classification models with the aim to improve diagnostic accuracy. Purpose of this analysis was to consolidate spatial information about alterations of spontaneous brain activity in MDD to serve such feature selection and as a secondary aim to improve understanding of disease mechanisms. 32 studies were included in final analyses. Coordinates extracted from the original reports were assigned to two categories based on directionality of findings. Meta-analyses were calculated using the non-additive activation likelihood estimation approach with coordinates organized by subject group to account for non-independent samples. Results were compared with established resting state networks (RSNs) and spatial representations of recently introduced temporally independent functional modes (TFMs) of spontaneous brain activity. Converging evidence revealed a distributed pattern of brain regions with increased or decreased spontaneous activity in MDD. The most distinct finding was hyperactivity/ hyperconnectivity presumably reflecting the interaction of cortical midline structures (posterior default mode network components associated with self-referential processing and the subgenual anterior cingulate cortex) with lateral frontal areas related to externally-directed cognition. One particular TFM seems to better comprehend the findings than classical RSNs. Alterations that can be captured by resting state fMRI show considerable overlap with those identifiable with other neuroimaging modalities though differing in some aspects.
Author Comment
This is a preliminary author version. If the final version is published in a peer-reviewed journal, this information and a reference will be added as a comment on the preprint server.
