Assessment of finger motor function that reflects the severity of cognitive function
Objectives: We conducted a finger tapping movement test using a finger tapping device with magnetic sensors (UB-2) and performed multiple regression analyses using a number of finger movements parameters to estimate the severity of cognitive impairment. Methods: The subjects of this study were 64...
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Fujita Medical Society
2021
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oai:doaj.org-article:57dd5039567c414888a5302816f65bee2021-11-10T04:33:30ZAssessment of finger motor function that reflects the severity of cognitive function10.20407/fmj.2020-0132189-72472189-7255https://doaj.org/article/57dd5039567c414888a5302816f65bee2021-11-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/fmj/7/4/7_2020-013/_pdf/-char/enhttps://doaj.org/toc/2189-7247https://doaj.org/toc/2189-7255Objectives: We conducted a finger tapping movement test using a finger tapping device with magnetic sensors (UB-2) and performed multiple regression analyses using a number of finger movements parameters to estimate the severity of cognitive impairment. Methods: The subjects of this study were 64 patients, including 44 diagnosed with Alzheimer’s disease (AD) (mean age: 73.8±7.0 years) and 20 diagnosed with mild cognitive impairment (MCI) (mean age: 76.7±4.2 years). For the finger-tapping movement tasks, we tested single-hand (left and right) tapping, simultaneous tapping of both hands, and alternate tapping between hands. After measurement, multiple regression analysis adjusted for age and sex was performed to predict the Mini-Mental State Examination (MMSE) score from the calculated hand parameters. Results: Relatively high standardized partial regression coefficients were observed for the following two parameters: standard deviation (SD) of distance rate of velocity peak in extending movement and the SD of contact duration. The coefficients of determination (R2) ranged between 0.1 to 0.28. Conclusions: Our results suggest the possibility that these parameters may be used to assess cognitive function. We shall obtain large-scale data from older people to examine the possibility of these parameters to be used as an early diagnostic tool for dementia patients.Shota SuzumuraYoshikiyo KanadaAiko OsawaJunpei SugiokaNatsumi MaedaTaishi NagahamaKenta ShiramotoKatsumi KunoShiori KizukaYuko SanoTomohiko MizuguchiAkihiko KandoriIzumi KondoFujita Medical Societyarticlecognitive functionfinger tappingdexteritymini-mental state examination (mmse)Medicine (General)R5-920ENFujita Medical Journal, Vol 7, Iss 4, Pp 122-129 (2021) |
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| topic |
cognitive function finger tapping dexterity mini-mental state examination (mmse) Medicine (General) R5-920 |
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cognitive function finger tapping dexterity mini-mental state examination (mmse) Medicine (General) R5-920 Shota Suzumura Yoshikiyo Kanada Aiko Osawa Junpei Sugioka Natsumi Maeda Taishi Nagahama Kenta Shiramoto Katsumi Kuno Shiori Kizuka Yuko Sano Tomohiko Mizuguchi Akihiko Kandori Izumi Kondo Assessment of finger motor function that reflects the severity of cognitive function |
| description |
Objectives: We conducted a finger tapping movement test using a finger tapping device with magnetic sensors (UB-2) and performed multiple regression analyses using a number of finger movements parameters to estimate the severity of cognitive impairment.
Methods: The subjects of this study were 64 patients, including 44 diagnosed with Alzheimer’s disease (AD) (mean age: 73.8±7.0 years) and 20 diagnosed with mild cognitive impairment (MCI) (mean age: 76.7±4.2 years). For the finger-tapping movement tasks, we tested single-hand (left and right) tapping, simultaneous tapping of both hands, and alternate tapping between hands. After measurement, multiple regression analysis adjusted for age and sex was performed to predict the Mini-Mental State Examination (MMSE) score from the calculated hand parameters.
Results: Relatively high standardized partial regression coefficients were observed for the following two parameters: standard deviation (SD) of distance rate of velocity peak in extending movement and the SD of contact duration. The coefficients of determination (R2) ranged between 0.1 to 0.28.
Conclusions: Our results suggest the possibility that these parameters may be used to assess cognitive function. We shall obtain large-scale data from older people to examine the possibility of these parameters to be used as an early diagnostic tool for dementia patients. |
| format |
article |
| author |
Shota Suzumura Yoshikiyo Kanada Aiko Osawa Junpei Sugioka Natsumi Maeda Taishi Nagahama Kenta Shiramoto Katsumi Kuno Shiori Kizuka Yuko Sano Tomohiko Mizuguchi Akihiko Kandori Izumi Kondo |
| author_facet |
Shota Suzumura Yoshikiyo Kanada Aiko Osawa Junpei Sugioka Natsumi Maeda Taishi Nagahama Kenta Shiramoto Katsumi Kuno Shiori Kizuka Yuko Sano Tomohiko Mizuguchi Akihiko Kandori Izumi Kondo |
| author_sort |
Shota Suzumura |
| title |
Assessment of finger motor function that reflects the severity of cognitive function |
| title_short |
Assessment of finger motor function that reflects the severity of cognitive function |
| title_full |
Assessment of finger motor function that reflects the severity of cognitive function |
| title_fullStr |
Assessment of finger motor function that reflects the severity of cognitive function |
| title_full_unstemmed |
Assessment of finger motor function that reflects the severity of cognitive function |
| title_sort |
assessment of finger motor function that reflects the severity of cognitive function |
| publisher |
Fujita Medical Society |
| publishDate |
2021 |
| url |
https://doaj.org/article/57dd5039567c414888a5302816f65bee |
| work_keys_str_mv |
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