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Mapping offMRI motor activation data...
~
Wang, Jun.
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Mapping offMRI motor activation data into a standard model of motor cortex.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Mapping offMRI motor activation data into a standard model of motor cortex./
Author:
Wang, Jun.
Description:
135 p.
Notes:
Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2696.
Contained By:
Dissertation Abstracts International66-05B.
Subject:
Engineering, Biomedical. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3174222
ISBN:
0542121549
Mapping offMRI motor activation data into a standard model of motor cortex.
Wang, Jun.
Mapping offMRI motor activation data into a standard model of motor cortex.
- 135 p.
Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2696.
Thesis (Ph.D.)--University of Illinois at Chicago, 2005.
We compared sensorimotor maps of fMRI (functional magnetic resonance imaging) motor activation using surface-based technique for 15 multiple sclerosis (MS) subjects and 10 control subjects. The pattern of activation of the motor cortex is important to understand motor disorders in multiple sclerosis (MS) subjects.
ISBN: 0542121549Subjects--Topical Terms:
1017684
Engineering, Biomedical.
Mapping offMRI motor activation data into a standard model of motor cortex.
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Mapping offMRI motor activation data into a standard model of motor cortex.
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135 p.
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Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2696.
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Chairperson: Daniel B. Hier.
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Thesis (Ph.D.)--University of Illinois at Chicago, 2005.
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We compared sensorimotor maps of fMRI (functional magnetic resonance imaging) motor activation using surface-based technique for 15 multiple sclerosis (MS) subjects and 10 control subjects. The pattern of activation of the motor cortex is important to understand motor disorders in multiple sclerosis (MS) subjects.
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The results suggest a consistent pattern of motor reorganization in MS. As the disease progresses, lesion load increases, cortical surface area decreases, activation in sensory areas falls, and motor activation shifts anteriorly from motor areas to pre-motor areas.
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It is concluded from these results that the surface-based functional maps of the sensorimotor areas can detect motor reorganization in MS subjects. The results provide important information about the relationship of the motor reorganization to disease progression in multiple sclerosis.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3174222
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