Rate of torque development and striatal shape in individuals with prodromal Huntington's disease

Journal article

Travis M. Cruickshank, Alvaro P. Reyes, Timothy S. Pulverenti, Tim J. Rankin, Danielle M. Bartlett, Anthony Blazevich, Govinda Poudel, Mel R. Ziman and Gabriel S Trajano. (2020). Rate of torque development and striatal shape in individuals with prodromal Huntington's disease. Scientific Reports. 10(1), pp. 1-8. https://doi.org/10.1038/s41598-020-72042-2
AuthorsTravis M. Cruickshank, Alvaro P. Reyes, Timothy S. Pulverenti, Tim J. Rankin, Danielle M. Bartlett, Anthony Blazevich, Govinda Poudel, Mel R. Ziman and Gabriel S Trajano
Abstract

The aim of the present study was to quantify explosive joint torque or the ability to develop joint torque rapidly, typically measured as the rate of torque development, in individuals with prodromal Huntington’s disease and healthy controls and its associations with measures of disease burden and striatal pathology. Twenty prodromal Huntington’s disease and 19 healthy control individuals volunteered for this study. Plantar flexor isometric rate of torque development values were evaluated using isokinetic dynamometry. Pathological changes in striatal shape were evaluated using magnetic resonance imaging. Disease burden was evaluated using the disease burden score and cytosine-adenine-guanine age product score. No statistical differences in the rate of torque development were observed between individuals with prodromal Huntington’s disease and healthy controls. However, significant associations were observed between the rate of torque development values and measures of disease burden (r = −0.42 to −0.69) and striatal pathology (r = 0.71–0.60) in individuals with prodromal Huntington’s disease. We found significant associations between lower rate of torque development values and greater striatal shape deflation and disease burden and striatal pathology in individuals with prodromal Huntington’s disease. While no significant differences in the rate of torque development were found between prodromal Huntington’s disease and healthy controls, the noted associations suggest that differences may emerge as the disease advances, which should be investigated longitudinally in future studies.

Year2020
JournalScientific Reports
Journal citation10 (1), pp. 1-8
PublisherNature Publishing Group
ISSN2045-2322
Digital Object Identifier (DOI)https://doi.org/10.1038/s41598-020-72042-2
Scopus EID2-s2.0-85090962509
Open accessOpen access
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Deposited16 Apr 2021
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Goscinski, Wojtek J., McIntosh, Paul, Felzmann, Ulrich, Maksimenko, Anton, Hall, Christopher J., Gureyev, Timur, Thompson, Darren, Janke, Andrew, Galloway, Graham, Killeen, Neil E. B., Raniga, Parnesh, Kaluza, Owen, Ng, Amanda, Poudel, Govinda, Barnes, David G., Nguyen, Toan, Bonnington, Paul and Egan, Gary F.. (2014). The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: Applications in neuroscience and neuroinformatics research. Frontiers in Neuroinformatics. 8(March), pp. 1 - 13. https://doi.org/10.3389/fninf.2014.00030
Functional magnetic resonance imaging of working memory in Huntington's disease: Cross-sectional data from the IMAGE-HD study
Georgiou-Karistianis, Nellie, Stout, Julie C., Domínguez, Juan F., Carron, Sarah P., Ando, Ayaka, Churchyard, Andrew, Chua, Phyllis, Bohanna, India, Dymowski, Alicia R., Poudel, Govinda and Egan, Gary F.. (2014). Functional magnetic resonance imaging of working memory in Huntington's disease: Cross-sectional data from the IMAGE-HD study. Human Brain Mapping. 35(5), pp. 1847 - 1864. https://doi.org/10.1002/hbm.22296
Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG
Jonmohamadi, Yaqub, Poudel, Govinda, Innes, Carrie and Jones, Richard. (2014). Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG. Australasian Physical and Engineering Sciences in Medicine. 37(2), pp. 457 - 464. https://doi.org/10.1007/s13246-014-0265-x
Multi-modal neuroimaging in premanifest and early Huntington's disease : 18 month longitudinal data from the IMAGE-HD study
Domínguez D, Juan F., Egan, Gary F., Gray, Marcus A., Poudel, Govinda R., Churchyard, Andrew, Chua, Phyllis, Stout, Julie C. and Georgiou-Karistianis, Nellie. (2013). Multi-modal neuroimaging in premanifest and early Huntington's disease : 18 month longitudinal data from the IMAGE-HD study. PLoS ONE. 8(9), pp. 1-10. https://doi.org/10.1371/journal.pone.0074131
Functional and connectivity changes during working memory in Huntington's disease : 18 month longitudinal data from the IMAGE-HD study
Georgiou-Karistianis, Nellie, Poudel, Govinda R., Domínguez D, Juan F., Langmaid, Rebecca, Gray, Marcus A., Churchyard, Andrew, Chua, Phyllis, Borowsky, Beth, Egan, Gary F. and Stout, Julie C.. (2013). Functional and connectivity changes during working memory in Huntington's disease : 18 month longitudinal data from the IMAGE-HD study. Brain and Cognition. 83(1), pp. 80-91. https://doi.org/10.1016/j.bandc.2013.07.004
Efficient and regular patterns of nighttime sleep are related to increased vulnerability to microsleeps following a single night of sleep restriction
Innes, Carrie R. H., Poudel, Govinda R. and Jones, Richard D.. (2013). Efficient and regular patterns of nighttime sleep are related to increased vulnerability to microsleeps following a single night of sleep restriction. Chronobiology International. 30(9), pp. 1187-1196. https://doi.org/10.3109/07420528.2013.810222
Distinct neural correlates of time-on-task and transient errors during a visuomotor tracking task after sleep restriction
Poudel, Govinda R., Innes, Carrie R. H. and Jones, Richard D.. (2013). Distinct neural correlates of time-on-task and transient errors during a visuomotor tracking task after sleep restriction. NeuroImage. 77, pp. 105-113. https://doi.org/10.1016/j.neuroimage.2013.03.054
Time-Varying Functional Connectivity for Understanding the Neural Basis of Behavioral Microsleeps
J Toppi, L Astolfi, GR Poudel, F Babiloni, L Macchiusi, D Mattia, S Salinari and RD Jones. (2012). Time-Varying Functional Connectivity for Understanding the Neural Basis of Behavioral Microsleeps. 34th Annual International Conference of the IEEE EMBS. IEEE, Institute of Electrical and Electronics Engineers. pp. 4708-4711 https://doi.org/10.1109/EMBC.2012.6347018
Performance of Beamformers on EEG Source Reconstruction
Yaqub Jon Mohamadi, Govinda Poudel, Carrie R H Innes and Richard Jones. (2012). Performance of Beamformers on EEG Source Reconstruction. 34th Annual International Conference of the IEEE EMBS. IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2012.6346476
Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction
Poudel, Govinda R., Innes, Carrie R. H. and Jones, Richard D.. (2012). Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction. Sleep. 35(8), pp. 1085-1096. https://doi.org/10.5665/sleep.1994