Abstract
Rigidity (muscle stiffness) is one of the most disabling symptoms in Parkinson's disease (PD). It is clinically defined as an increased resistance to passive movement of a joint. There is a fundamental gap between mechanistic and applied approaches to understanding this symptom. The objective of the current study was to apply a system identification and modeling approach to differentiating the contributions of neural (enhanced muscle reflex) and non-neural (altered mechanical properties of muscle fibers) factors to rigidity. Six patients participated in the study. The wrist joint torque and muscle activities of the wrist muscles were measured during externally induced movements. Each subject was tested in the Off- and Onmedication states. System identification and modeling approach was applied to separate the neural from the nonneural component with respect to the overall stiffness. Results show that both factors are responsible for rigidity in PD. Neural-related reflex component is the predominant factor in overall rigidity. Medication therapy decreased the level of reflex component to overall rigidity.
| Original language | English |
|---|---|
| Title of host publication | 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 |
| DOIs | |
| State | Published - 2010 |
| Event | 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 - Chengdu, China Duration: Jun 18 2010 → Jun 20 2010 |
Other
| Other | 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 |
|---|---|
| Country | China |
| City | Chengdu |
| Period | 6/18/10 → 6/20/10 |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Health Informatics
Cite this
System identification and modeling approach to characterizing rigidity in parkinson's disease : Neural and non-neural contributions. / Xia, Ruiping; Radovic, Matija; Threlkeld, Joseph; Mao, Zhi Hong.
2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010. 2010. 5514861.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - System identification and modeling approach to characterizing rigidity in parkinson's disease
T2 - Neural and non-neural contributions
AU - Xia, Ruiping
AU - Radovic, Matija
AU - Threlkeld, Joseph
AU - Mao, Zhi Hong
PY - 2010
Y1 - 2010
N2 - Rigidity (muscle stiffness) is one of the most disabling symptoms in Parkinson's disease (PD). It is clinically defined as an increased resistance to passive movement of a joint. There is a fundamental gap between mechanistic and applied approaches to understanding this symptom. The objective of the current study was to apply a system identification and modeling approach to differentiating the contributions of neural (enhanced muscle reflex) and non-neural (altered mechanical properties of muscle fibers) factors to rigidity. Six patients participated in the study. The wrist joint torque and muscle activities of the wrist muscles were measured during externally induced movements. Each subject was tested in the Off- and Onmedication states. System identification and modeling approach was applied to separate the neural from the nonneural component with respect to the overall stiffness. Results show that both factors are responsible for rigidity in PD. Neural-related reflex component is the predominant factor in overall rigidity. Medication therapy decreased the level of reflex component to overall rigidity.
AB - Rigidity (muscle stiffness) is one of the most disabling symptoms in Parkinson's disease (PD). It is clinically defined as an increased resistance to passive movement of a joint. There is a fundamental gap between mechanistic and applied approaches to understanding this symptom. The objective of the current study was to apply a system identification and modeling approach to differentiating the contributions of neural (enhanced muscle reflex) and non-neural (altered mechanical properties of muscle fibers) factors to rigidity. Six patients participated in the study. The wrist joint torque and muscle activities of the wrist muscles were measured during externally induced movements. Each subject was tested in the Off- and Onmedication states. System identification and modeling approach was applied to separate the neural from the nonneural component with respect to the overall stiffness. Results show that both factors are responsible for rigidity in PD. Neural-related reflex component is the predominant factor in overall rigidity. Medication therapy decreased the level of reflex component to overall rigidity.
UR - http://www.scopus.com/inward/record.url?scp=77956167834&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956167834&partnerID=8YFLogxK
U2 - 10.1109/ICBBE.2010.5514861
DO - 10.1109/ICBBE.2010.5514861
M3 - Conference contribution
SN - 9781424447138
BT - 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
ER -