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  Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis

Hawellek, D. J., Hipp, J. F., Lewis, C., Corbetta, M., & Engel, A. K. (2011). Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis. Proceedings of the National Academy of Sciences, 108(47), 19066-19071. doi:10.1073/pnas.1110024108.

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Hawellek_2011_IncreasedFunctionalConnectivity.pdf (Publisher version), 629KB
 
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2011
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 Creators:
Hawellek, David J., Author
Hipp, Joerg F., Author
Lewis, Christopher1, 2, Author           
Corbetta, Maurizio, Author
Engel, Andreas K., Author
Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, ou_2074314              
2Fries Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381216              

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Free keywords: resting state bold fmri diffusion tensor imaging fractional anisotropy neurological default-mode human brain corpus-callosum networks disease mri ms dysfunction cortex memory
 Abstract: Correlations in spontaneous brain activity provide powerful access to large-scale organizational principles of the CNS. However, making inferences about cognitive processes requires a detailed understanding of the link between these couplings and the structural integrity of the CNS. We studied the impact of multiple sclerosis, which leads to the severe disintegration of the central white matter, on functional connectivity patterns in spontaneous cortical activity. Using a data driven approach based on the strength of a salient pattern of cognitive pathology, we identified distinct networks that exhibit increases in functional connectivity despite the presence of strong and diffuse reductions of the central white-matter integrity. The default mode network emerged as a core target of these connectivity modulations, showing enhanced functional coupling in bilateral inferior parietal cortex, posterior cingulate, and medial prefrontal cortex. These findings imply a complex and diverging relation of anatomical and functional connectivity in early multiple sclerosis and, thus, add an important observation for understanding how cognitive abilities and CNS integrity may be reflected in the intrinsic covariance of functional signals.

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 Dates: 2011-11-072011
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1073/pnas.1110024108
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Title: Proceedings of the National Academy of Sciences
  Abbreviation : PNAS
Source Genre: Journal
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Pages: - Volume / Issue: 108 (47) Sequence Number: - Start / End Page: 19066 - 19071 Identifier: ISSN: 0027-8424
ISSN: 1091-6490