개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.1
- 수록면
- 267 - 278 (12page)
- DOI
- 10.51979/KSSLS.2024.01.95.267
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초록· 키워드
오류제보하기
Purpose: The aim of this study is to investigate the impact of age-related muscle loss on signals within the central nervous system. It emphasizes the importance of maintaining a healthy lifestyle and participating in regular exercise as individuals age.
Method: Participants were divided into three age groups: youth, middle-aged, and elderly. Grip strength assessments were conducted four levels (maximum, low, medium, and high strength) using an electroencephalography (EEG) analysis system and advanced grip strength measurement equipment. EEG analysis was conducted during the feedback process to assess the brain’s cognitive ability to control grip strength, taking into account the muscle memory related to grip strength.
Results: The main findings are outlined as follows. 1) Effect of Muscle Loss with Age: A significant decrease in skeletal muscle mass was evident across age groups (F=8.300, p<.01), indicating a direct correlation between aging and muscle loss. 2) Differences in Grip Strength and Exercise Intensity: Significant variations were observed in maximum grip strength and exercise intensity, especially at the third level of grip strength, when comparing age groups with and without visual information obstruction. 3) EEG Analysis during Cognitive Grip Control: During cognitive grip control with closed eyes, EEG analysis revealed increased activity in various frequency bands across the frontal, parietal, temporal, and occipital lobes of the cerebral cortex. Substantial changes in brain signals were detected, indicating an impact on brain activation.
Conclusion: In summary, this study confirms that age-related muscle loss not only impacts maximum grip strength but also proprioception, a crucial aspect of muscle memory. These findings provide valuable foundational data for improving the quality of life, not only for middle-aged individuals but also for the elderly in Korea’s aging society.
Method: Participants were divided into three age groups: youth, middle-aged, and elderly. Grip strength assessments were conducted four levels (maximum, low, medium, and high strength) using an electroencephalography (EEG) analysis system and advanced grip strength measurement equipment. EEG analysis was conducted during the feedback process to assess the brain’s cognitive ability to control grip strength, taking into account the muscle memory related to grip strength.
Results: The main findings are outlined as follows. 1) Effect of Muscle Loss with Age: A significant decrease in skeletal muscle mass was evident across age groups (F=8.300, p<.01), indicating a direct correlation between aging and muscle loss. 2) Differences in Grip Strength and Exercise Intensity: Significant variations were observed in maximum grip strength and exercise intensity, especially at the third level of grip strength, when comparing age groups with and without visual information obstruction. 3) EEG Analysis during Cognitive Grip Control: During cognitive grip control with closed eyes, EEG analysis revealed increased activity in various frequency bands across the frontal, parietal, temporal, and occipital lobes of the cerebral cortex. Substantial changes in brain signals were detected, indicating an impact on brain activation.
Conclusion: In summary, this study confirms that age-related muscle loss not only impacts maximum grip strength but also proprioception, a crucial aspect of muscle memory. These findings provide valuable foundational data for improving the quality of life, not only for middle-aged individuals but also for the elderly in Korea’s aging society.
목차
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 결과
Ⅳ. 논의
Ⅴ. 결론 및 제언
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