AI Article Synopsis

  • This study explores a new approach for differentiating between older adults with Mild Cognitive Impairment (MCI) and those who are Cognitively Normal Adults (CNA) using innovative Motor and Cognitive Dual-Task (MCDT) protocols.
  • The researchers found that new MCDT models, particularly those involving heel tapping exercises, outperformed the traditional walking-based MCDT in classification accuracy by +8%.
  • The results indicate that lower-difficulty motor tasks may more effectively identify cognitive issues, suggesting that integrating innovative digital tools and data analysis methods could enhance early dementia detection and streamline clinical assessments.

Article Abstract

This study investigates the adoption of innovative Motor and Cognitive Dual-Task (MCDT) based on the combination of increasing motor and cognitive tasks to discern between subjects with Mild Cognitive Impairment (MCI) and Cognitively Normal Adults (CNA). We aim to adopt new MCDT protocols and to compare their performance against the gold standard (a walking based MCDT, called GAIT). 27 older adults have been assessed through a customized wearable system during 4 MCDTs. We developed as many pooled indices (PIs), based on MCDTs perfomance, demographic data, and clinical scores. We use these parameters as regressors in 4 different logistic regression models. The regression models that encompassed features from innovative MCDT overcame the gold standard classification performance. In particular, models based on the heel tapping and the alternate heel-toe tapping reach the best outputs, namely +8% of accuracy if compared to the gold standard (a walking task). The use of logistic regression models based on MCDT PI have been effective in discerning between CNA vs MCI. Our results suggest that the gold standard MCDT may represents a too demanding exercise to highlight differences between CNA and MCI. It seems that MCDT based on an intermediate level of motor difficulty could represent the sweet spot for the identification of MCI against CNA. Clinical relevance- The combination of innovative digital devices and innovative approach on data analysis (PIs) opened a new scenarios to the early detection and prediction of dementia. Their use would standardize the assessment procedure, lightening the physician from the burden of cumbersome testing sessions. This study suggests that a broader framework for MCDT, which should encompass an ampler selection of motor tasks with different possibilities in terms of difficulties levels, could provide clinicians with a new appropriate set of tools for the early detection of dementia.

Download full-text PDF

Source
http://dx.doi.org/10.1109/EMBC48229.2022.9871345DOI Listing

Publication Analysis

Top Keywords

gold standard
16
motor cognitive
12
regression models
12
cognitive dual-task
8
mild cognitive
8
cognitive impairment
8
mcdt
8
mcdt based
8
standard walking
8
based mcdt
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!