Activation During Upper Limb Movements Measured with Functional Near-Infrared Spectroscopy in Healthy Elderly Subjects
Authors: 
Shengcui Cheng, Xiaoling Chen, Tengyu Zhang, Ziyi Wang, Guangzhi He, Yunjie Tong, Ping XieAuthors Info & Claims
Shengcui Cheng, Xiaoling Chen, Tengyu Zhang, Ziyi Wang, Guangzhi He, Yunjie Tong, Ping XieAuthors Info & ClaimsPages 478 - 482
Abstract
Objective: Understanding the cortical activation patters can play an important role in exploring the motor control mechanisms in elderly subjects. This study investigates the hemodynamic responses in elderly subjects during the upper-limb movements using functional near-infrared spectroscopy (fNIRS). Methods: The multi-channel fNIRS signals were continuously recorded from the bilateral prefrontal cortex (PFC) and motor cortex (MC) in eight healthy elderly subjects during the resting state (RS), right and left upper-limb movements (RM and LM). In this study, we applied the generalized linear model (GLM) informed in the NIRS-SPM software to compute the changes of hemoglobin concentrations and describe the brain activations during motor tasks. Results: The results showed that the changes of oxyhemoglobin concentrations were more concentrated in the left motor cortex of subjects during the RM task, and in the right hemisphere including prefrontal cortex and motor cortex during the LM task. Further analysis also showed that there was a significant difference between two hemispheres in the RM and LM tasks, while no difference in the RS task. Conclusions: These findings suggested that the fNIRS signals could reliably quantify the neuronal activity during limb movements. This study may provide a new insight into the motor mechanism of the upper-limb movements and is significant for monitoring brain function.
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- Activation During Upper Limb Movements Measured with Functional Near-Infrared Spectroscopy in Healthy Elderly Subjects
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Published In
November 2022
683 pages
ISBN:9781450397056
DOI:10.1145/3581807
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Published: 22 May 2023
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- the Key Research and Development Program of Hebei Province of China
- the Funding Program for Innovative Ability Training of graduate students of Hebei Provincial Department of Education
- the Natural Science Foundation of Hebei Province of China
- the National Natural Science Foundation of China
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ICCPR 2022
ICCPR 2022: 2022 11th International Conference on Computing and Pattern Recognition
November 17 - 19, 2022
Beijing, China
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