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    Striatal morphology correlates with frontostriatal electrophysiological motor processing in Huntington's disease: an IMAGE-HD study

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    6
    Author
    Turner, LM; Jakabek, D; Wilkes, FA; Croft, RJ; Churchyard, A; Walterfang, M; Velakoulis, D; Looi, JCL; Georgiou-Karistianis, N; Apthorp, D
    Date
    2016-12-01
    Source Title
    Brain and Behavior
    Publisher
    WILEY
    University of Melbourne Author/s
    Walterfang, Mark; Velakoulis, Dennis; Looi, Jeffrey; CHURCHYARD, ANDREW
    Affiliation
    Psychiatry
    Metadata
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    Document Type
    Journal Article
    Citations
    Turner, L. M., Jakabek, D., Wilkes, F. A., Croft, R. J., Churchyard, A., Walterfang, M., Velakoulis, D., Looi, J. C. L., Georgiou-Karistianis, N. & Apthorp, D. (2016). Striatal morphology correlates with frontostriatal electrophysiological motor processing in Huntington's disease: an IMAGE-HD study. BRAIN AND BEHAVIOR, 6 (12), https://doi.org/10.1002/brb3.511.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/260081
    DOI
    10.1002/brb3.511
    Abstract
    BACKGROUND: Huntington's disease (HD) causes progressive atrophy to the striatum, a critical node in frontostriatal circuitry. Maintenance of motor function is dependent on functional connectivity of these premotor, motor, and dorsolateral frontostriatal circuits, and structural integrity of the striatum itself. We aimed to investigate whether size and shape of the striatum as a measure of frontostriatal circuit structural integrity was correlated with functional frontostriatal electrophysiological neural premotor processing (contingent negative variation, CNV), to better understand motoric structure-function relationships in early HD. METHODS: Magnetic resonance imaging (MRI) scans and electrophysiological (EEG) measures of premotor processing were obtained from a combined HD group (12 presymptomatic, 7 symptomatic). Manual segmentation of caudate and putamen was conducted with subsequent shape analysis. Separate correlational analyses (volume and shape) included covariates of age, gender, intracranial volume, and time between EEG and MRI. RESULTS: Right caudate volume correlated with early CNV latency over frontocentral regions and late CNV frontally, whereas right caudate shape correlated with early CNV latency centrally. Left caudate volume correlated with early CNV latency over centroparietal regions and late CNV frontally. Right and left putamen volumes correlated with early CNV latency frontally, and right and left putamen shape/volume correlated with parietal CNV slope. CONCLUSIONS: Timing (latency) and pattern (slope) of frontostriatal circuit-mediated premotor functional activation across scalp regions were correlated with abnormalities in structural integrity of the key frontostriatal circuit component, the striatum (size and shape). This was accompanied by normal reaction times, suggesting it may be undetected in regular tasks due to preserved motor "performance." Such differences in functional activation may reflect atrophy-based frontostriatal circuitry despecialization and/or compensatory recruitment of additional brain regions.

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