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Spectral Signatures of Reorganised Brain Networks in Disorders of Consciousness

Overview of attention for article published in PLoS Computational Biology, October 2014
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Title
Spectral Signatures of Reorganised Brain Networks in Disorders of Consciousness
Published in
PLoS Computational Biology, October 2014
DOI 10.1371/journal.pcbi.1003887
Pubmed ID
Authors

Srivas Chennu, Paola Finoia, Evelyn Kamau, Judith Allanson, Guy B. Williams, Martin M. Monti, Valdas Noreika, Aurina Arnatkeviciute, Andrés Canales-Johnson, Francisco Olivares, Daniela Cabezas-Soto, David K. Menon, John D. Pickard, Adrian M. Owen, Tristan A. Bekinschtein

Abstract

Theoretical advances in the science of consciousness have proposed that it is concomitant with balanced cortical integration and differentiation, enabled by efficient networks of information transfer across multiple scales. Here, we apply graph theory to compare key signatures of such networks in high-density electroencephalographic data from 32 patients with chronic disorders of consciousness, against normative data from healthy controls. Based on connectivity within canonical frequency bands, we found that patient networks had reduced local and global efficiency, and fewer hubs in the alpha band. We devised a novel topographical metric, termed modular span, which showed that the alpha network modules in patients were also spatially circumscribed, lacking the structured long-distance interactions commonly observed in the healthy controls. Importantly however, these differences between graph-theoretic metrics were partially reversed in delta and theta band networks, which were also significantly more similar to each other in patients than controls. Going further, we found that metrics of alpha network efficiency also correlated with the degree of behavioural awareness. Intriguingly, some patients in behaviourally unresponsive vegetative states who demonstrated evidence of covert awareness with functional neuroimaging stood out from this trend: they had alpha networks that were remarkably well preserved and similar to those observed in the controls. Taken together, our findings inform current understanding of disorders of consciousness by highlighting the distinctive brain networks that characterise them. In the significant minority of vegetative patients who follow commands in neuroimaging tests, they point to putative network mechanisms that could support cognitive function and consciousness despite profound behavioural impairment.

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Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 4 1%
France 2 <1%
Germany 2 <1%
Poland 2 <1%
Canada 2 <1%
Uruguay 1 <1%
Austria 1 <1%
Chile 1 <1%
Other 7 2%
Unknown 363 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 22%
Researcher 69 18%
Student > Master 59 15%
Student > Bachelor 24 6%
Professor > Associate Professor 23 6%
Other 83 21%
Unknown 50 13%
Readers by discipline Count As %
Neuroscience 71 18%
Psychology 67 17%
Agricultural and Biological Sciences 54 14%
Medicine and Dentistry 38 10%
Computer Science 32 8%
Other 59 15%
Unknown 72 18%