Journal article
Multimodal characterization of the visual network in Huntington's disease gene carriers
Clinical neurophysiology, Vol.130(11), pp.2053-2059
11/01/2019
DOI: 10.1016/j.clinph.2019.08.018
PMID: 31541982
Abstract
Objective: A sensorimotor network structural phenotype predicted motor task performance in a previous study in Huntington's disease (HD) gene carriers. We investigated in the visual network whether structure - function - behaviour relationship patterns, and the effects of the HD mutation, extended beyond the sensorimotor network.
Methods: We used multimodal visual network MRI structural measures (cortical thickness and white matter connectivity), plus visual evoked potentials and task performance (Map Search; Symbol Digit Modalities Test) in healthy controls and HD gene carriers.
Results: Using principal component (PC) analysis, we identified a structure - function relationship common to both groups. PC scores differed between groups indicating white matter disorganization (higher RD, lower FA) and slower, and more disperse, VEP signal transmission (higher VEP P100 latency and lower VEP P100 amplitude) in HD than controls while task performance was similar.
Conclusions: HD may be associated with reduced white matter organization and efficient visual network function but normal task performance.
Significance: These findings indicate that structure - function relationships in the visual network, and the effects of the HD mutation, share some commonalities with those in the sensorimotor network. However, implications for task performance differ between the two networks suggesting the influence of network specific factors. (C) 2019 Published by Elsevier B.V. on behalf of International Federation of Clinical Neurophysiology.
Details
- Title: Subtitle
- Multimodal characterization of the visual network in Huntington's disease gene carriers
- Creators
- Sarah Gregory - UCL Institute of NeurologyOmar F. F. Odish - University Medical Center GroningenIsabella Mayer - University Hospital UlmJames Mills - University of IowaEileanoir B. Johnson - UCL Institute of NeurologyRachael Scahill - UCL Institute of NeurologyJohn Rothwell - UCL Institute of NeurologyGeraint Rees - Wellcome Centre for Human NeuroimagingJeffrey D. Long - University of IowaSarah J. Tabrizi - UCL Institute of NeurologyRaymund A. C. Roos - Leiden University Medical CenterMichael Orth - University Hospital Ulm
- Resource Type
- Journal article
- Publication Details
- Clinical neurophysiology, Vol.130(11), pp.2053-2059
- Publisher
- Elsevier
- DOI
- 10.1016/j.clinph.2019.08.018
- PMID
- 31541982
- ISSN
- 1388-2457
- eISSN
- 1872-8952
- Number of pages
- 7
- Grant note
- 200181/Z/15/Z / Wellcome Trust Collaborative Award; Wellcome Trust UKDRI-1008/2 / MRC; UK Research & Innovation (UKRI); Medical Research Council UK (MRC) CHDI/High Q Foundation
- Language
- English
- Date published
- 11/01/2019
- Academic Unit
- Psychiatry; Biostatistics
- Record Identifier
- 9984280876302771
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