Title |
The neural correlates of motor intentional disorders in patients with subcortical vascular cognitive impairment
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Published in |
Journal of Neurology, October 2015
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DOI | 10.1007/s00415-015-7946-6 |
Pubmed ID | |
Authors |
Geon Ha Kim, Sang Won Seo, Kihyo Jung, Oh-Hun Kwon, Hunki Kwon, Jong Hun Kim, Jee Hoon Roh, Min-Jeong Kim, Byung Hwa Lee, Doo Sang Yoon, Jung Won Hwang, Jong Min Lee, Jee Hyang Jeong, Heecheon You, Kenneth M. Heilman, Duk L. Na |
Abstract |
Subcortical vascular cognitive impairment (SVCI) refers to cognitive impairment associated with small vessel disease. Motor intentional disorders (MID) have been reported in patients with SVCI. However, there are no studies exploring the neuroanatomical regions related to MID in SVCI patients. The aim of this study, therefore, was to investigate the neural correlates of MID in SVCI patients. Thirty-one patients with SVCI as well as 10 healthy match control participants were included. A "Pinch-Grip" apparatus was used to quantify the force control capabilities of the index finger in four different movement phases including initiation, development, maintenance, and termination. All participants underwent magnetic resonance imaging (MRI). Topographical cortical areas and white matter tracts correlated with the performances of the four different movement phases were assessed by the surface-based morphometry and tract-based spatial statistics analyses. Poorer performance in the maintenance task was related to cortical thinning in bilateral dorsolateral prefrontal, orbitofrontal and parietal cortices, while poorer performance in the termination task was associated with the disruption of fronto-parietal cortical areas as well as the white matter tracts including splenium and association fibers such as superior longitudinal fasciculus. Our study demonstrates that cortical areas and underlying white matter tracts associated with fronto-parietal attentional system play an important role in motor impersistence and perseveration in SVCI patients. |
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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 21% |
Researcher | 5 | 12% |
Student > Master | 5 | 12% |
Student > Bachelor | 4 | 9% |
Professor | 3 | 7% |
Other | 6 | 14% |
Unknown | 11 | 26% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 26% |
Nursing and Health Professions | 4 | 9% |
Neuroscience | 4 | 9% |
Psychology | 3 | 7% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 5 | 12% |
Unknown | 14 | 33% |