Innovative motor and cognitive dual-task approaches combining upper and lower limbs may improve dementia early detection
| العنوان: | Innovative motor and cognitive dual-task approaches combining upper and lower limbs may improve dementia early detection |
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| المؤلفون: | Auriane Gros, Radia Zeghari, Gianmaria Mancioppi, Erika Rovini, Philippe Robert, Francesca Romana Cavallo, Valeria Manera, Laura Fiorini |
| المصدر: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0301 basic medicine, Male, Computer science, Logistic regression, Task (project management), Correlation, Creativity, 0302 clinical medicine, Gait (human), Cognition, Task Performance and Analysis, Gait, Multidisciplinary, Cognitive ageing, Mental Status and Dementia Tests, Lower Extremity, Medicine, Female, Biomedical engineering, medicine.medical_specialty, Science, Motor Activity, behavioral disciplines and activities, Article, Diagnosis, Differential, 03 medical and health sciences, Physical medicine and rehabilitation, Motor control, mental disorders, medicine, Dementia, Humans, Cognitive Dysfunction, Aged, Cognitive neuroscience, DUAL (cognitive architecture), medicine.disease, 030104 developmental biology, Early Diagnosis, ROC Curve, human activities, 030217 neurology & neurosurgery, Cognitive load, Biomarkers, Neurological disorders |
| الوصف: | Motor and Cognitive Dual-Task (MCDT) represents an innovative chance to assess Mild Cognitive Impairment (MCI). We compare two novel MCDTs, fore-finger tapping (FTAP), toe-tapping (TTHP), to gold standards for cognitive screening (Mini-Mental State Examination—MMSE), and to a well-established MCDT (GAIT). We administered the aforementioned MCDTs to 44 subjects (MCIs and controls). Motor parameters were extracted, and correlations with MMSE investigated. Logistic regression models were built, and AUC areas computed. Spearman’s correlation demonstrated that FTAP and TTHP significantly correlate with MMSE, at each cognitive load. AUC areas computed report similar (FTAP, 0.87), and even higher (TTHP, 0.97) capability to identify MCIs, if compared to GAIT (0.92). We investigated the use of novel MCDT approaches to assess MCI, aiming to enrich the clinical repertoire with objective and non-invasive tools. Our protocol shows good correlations with MMSE, and reaches high performances in identifying MCI, adopting simpler exercises. |
| تدمد: | 2045-2322 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::237c2c8fa7462a90ea5e147c36106544 https://pubmed.ncbi.nlm.nih.gov/33811226 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....237c2c8fa7462a90ea5e147c36106544 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20452322 |
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