Cognitive Training for Digital Biomarkers

Taipei Medical University90 enrolled

Overview

This study aims to conduct cognitive training for digital biomarkers among older adults.

The prevalence of dementia in rural areas is higher than in urban areas. However, the resource and research input on cognitive training for rural older adults still needs improvement. There is also no solution for preventing or early detection of dementia in rural areas. Unlike biomarkers that require invasive detection, digital biomarkers have been advocated in recent years for early disease prediction. However, there are still few studies on the effectiveness of digital biomarkers in evaluating cognitive function in the elderly. In addition, although previous studies have confirmed that cognitive training can be effective for older adults, it is difficult for the elderly in rural areas to obtain these cognitive-promoting resources due to distance. Moreover, the autonomy and right of choice of older adults are the keys to the success of their health behavior change.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

Conditions

Cognitive Decline Healthy Aging

Interventions

Smartphone-based cognitive trainingOTHER

Smartphone-based cognitive training

Eligibility

Sex: ALLMin age: 60 YearsMax age: 95 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: 1. At least 60 years of age, Can communicate in Chinese (Taiwanese) 2. Bring your own mobile device with Internet access. 3. Can act alone without physical impairment；full score of basic activities of daily living scale and instrumental activities of daily living scale. Exclusion Criteria: 1. Dementia diagnosed by a physician and in compliance with ICD-10 2. Physician diagnosed with significant mental illness or communication impairment 3. Participated in other cognitive training studies within the past year 4. Medical conditions associated with rapid functional and cognitive decline 5. Severe visual impairment

Outcomes

Primary Outcomes

digital biomarker

wearable device of stress and sleep, EEG power in alpha band, Delta and Theta frequency-bands

Time frame: pretest, immediate post test, 3 month follow-up, 6 month follow-up

Secondary Outcomes

Montreal Cognitive Assessment(MoCA)

The Montreal Cognitive Assessment (MoCA) is a cognitive screening tool designed to identify mild cognitive impairment, providing a quick assessment of different cognitive domains including memory, attention, language, and executive functions. It is widely utilized in clinical and research settings.The MoCA is scored out of a maximum of 30 points. A score of 26 and above is generally considered to be normal, although the specific cutoff can depend on the individual's age, educational level, and other demographic factors.

Time frame: pretest, immediate post test, 3 month follow-up, 6 month follow-up

Digit Span(DS)

Digit Span (DS) is a common test used in neuropsychological assessments to measure working memory, attention, and concentration. Each correctly repeated sequence yields one point. There are typically 16 items for the Forward Digit Span. The Backward Digit Span also has 16 items.

Time frame: pretest, immediate post test, 3 month follow-up, 6 month follow-up

Digit Vigilance Test(DVT)

The Digit Vigilance Test (DVT) is a psychological assessment tool used to measure attention and concentration, mainly focused on visual scanning and processing speed. The number of correct identifications and the time taken to complete the task are typically measured.

Time frame: pretest, immediate post test, 3 month follow-up, 6 month follow-up

Computerized version of Wisconsin Card Sort Test (WCST)

The Wisconsin Card Sorting Test (WCST) is a well-established neuropsychological test widely used to assess executive functions, mainly focusing on abstract reasoning and the ability to shift cognitive strategies in response to changing environmental contingencies (i.e., set-shifting or cognitive flexibility). The computerized version of the WCST allows for efficient, standardized administration and scoring, often reducing examiner bias and error.

Data from ClinicalTrials.gov

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