NETWORK EFFICIENCY AND COGNITIVE DEFICITS IN MS. Issue 10 (9th September 2014)

• Record Type: Journal Article
• Authors: Pardini, Matteo; Sethi, Varun; Muhlert, Nils; Yaldizli, Özgür; Palesi, Fulvia; Altmann, Daniel; Ron, Maria; Wheeler-Kingshott, Claudia; Miller, David; Chard, Declan
• Is Part Of: Journal of neurology, neurosurgery and psychiatry. Volume 85:Issue 10(2014)
• Page Start: e4
• Page End: e4
• Publication Date: 2014-09-09
• Subjects: EPILEPSY; Neurology -- Periodicals; Nervous system -- Surgery -- Periodicals; Psychiatry -- Periodicals; 616.8
• DOI: 10.1136/jnnp-2014-309236.141
• Languages: English
• ISSNs: 0022-3050

Abstract

Abstract : Background: Cognitive functions can be conceptualized as emergent properties (EP), as they depend on the synchronization of neural activity. However, EP are not currently included in physio-pathological models of cognitive deficits. Design/Methods: Seventy-two relapse-onset multiple sclerosis (MS) subjects underwent structural and diffusion MRI and completed the paced auditory serial addition test (PASAT). Fibre tractography was used to create study-specific templates of the PASAT network. Network structural damage was assessed with Network Efficiency (NE)–the prototypical EP–computed based on diffusion data as well as with grey matter mean diffusivity and regional volume, white matter radial and axial diffusivity and T2 lesion load. Results: We found a significant direct correlation between NE and PASAT performance as well as between NE and our metrics of focal and diffuse grey and white matter damage. Multivariate statistics revealed that NE better accounted for PASAT performance than the other MRI metrics combined. Conclusions: We found that NE can be used to capture in a single measure the relationship between different facets of structural damage and cognitive performance. This suggests that emergent properties may be a key bridge between structural tissue damage and cognitive deficits. Acknowledgements: MS Society of GB and Northern Ireland.