Effects of Adaptive Difficulty Computerized Cognitive Training on Cognitive Function Improvement in Older Adults With Mild Cognitive Impairment
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Adaptive Computerized Cognitive Training, Adaptive Computerized Cognitive Training.
- Who it may be relevant to
- Registry conditions: Cognitive Dysfunction, Cognitive Disorder, Cognitive Training. Basic parameters: from 60 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
This study aims to evaluate the effectiveness of adaptive computerized cognitive training (CCT) in improving cognitive function among community-dwelling older adults with mild cognitive impairment (MCI) and to compare the maintenance effects of different training frequencies after the initial intervention. A quasi-experimental study will be conducted in three communities in Shenyang, Liaoning Province, China. All participants will receive a 12-week adaptive CCT program. Participants will be assigned to either a high-frequency maintenance training group or a training discontinuation group. Cognitive assessments will be performed at baseline, immediately after the intervention, and during follow-up. The primary outcome is global cognitive function, while secondary outcomes include memory, attention, executive function, language, visuospatial ability, and activities of daily living. The findings of this study are expected to provide evidence for optimizing computerized cognitive training programs and long-term management strategies for older adults with MCI in community settings.
Detailed description
With the rapid aging of the global population, mild cognitive impairment (MCI) has become a critical stage for dementia prevention and early intervention. Cognitive training is recognized as one of the most effective non-pharmacological interventions for individuals with MCI. Among various approaches, adaptive computerized cognitive training (CCT) can dynamically adjust task difficulty according to an individual's performance, thereby improving training personalization, engagement, and adherence. However, evidence regarding the optimal maintenance training frequency and the long-term sustainability of cognitive benefits remains limited.
This study adopts a quasi-experimental design and will recruit community-dwelling adults aged 60 years and older with MCI from three communities in Shenyang, Liaoning Province, China. All participants will complete a 12-week adaptive computerized cognitive training program using the Heling Brain Planet WeChat mini-program, with training sessions lasting 30 minutes, three times per week. After the initial intervention, participants will be assigned to either a high-frequency maintenance training group, which will continue training three times per week, or a training discontinuation group, which will receive routine community health management only. Follow-up cognitive assessments will be conducted after the intervention and during the follow-up period.
The primary outcome will be global cognitive function assessed by the Montreal Cognitive Assessment (MoCA). Secondary outcomes will include memory (Auditory Verbal Learning Test, AVLT), attention (Trail Making Test Part A, TMT-A), executive function (Stroop Color-Word Test), language (Boston Naming Test, BNT), visuospatial ability (Clock Drawing Test, CDT), and activities of daily living (ADL). The effects of different maintenance training frequencies on cognitive improvement and the persistence of intervention benefits will be compared.
This study is expected to evaluate the effectiveness of adaptive computerized cognitive training for improving cognitive function in community-dwelling older adults with MCI and to determine whether continued maintenance training can prolong cognitive benefits. The findings will provide evidence for optimizing community-based digital cognitive training programs and developing sustainable intervention strategies for the long-term management of older adults with MCI.
Interventions
- Behavioral Adaptive Computerized Cognitive Training
Participants receive adaptive computerized cognitive training delivered through the Heling Brain Planet WeChat mini- program. The intervention consists of individualized cognitive exercises targeting multiple cognitive domains, including attention, memory, executive function, language, visuospatial ability, perceptual-motor function, and social cognition. The training difficulty is automatically adjusted according to each participant's performance to provide personalized cognitive stimulation. D - Behavioral Adaptive Computerized Cognitive Training
Participants receive adaptive computerized cognitive training delivered through the Heling Brain Planet WeChat mini- program. The intervention consists of individualized cognitive exercises targeting multiple cognitive domains, including attention, memory, executive function, language, visuospatial ability, perceptual-motor function, and social cognition. The training difficulty is automatically adjusted according to each participant's performance to provide personalized cognitive stimulation. D
Primary outcome measures
- Change in global cognitive function assessed by the Montreal Cognitive Assessment (MoCA) [Time frame: Baseline, Month 3, Month 4, and Month 6]
Secondary outcome measures (6)
- Change in cognitive function assessed by the Mini-Mental State Examination (MMSE) [Time frame: Baseline, Month 3, Month 4, and Month 6]
- Change in language function assessed by the Boston Naming Test (BNT) [Time frame: Baseline, Month 3, Month 4, and Month 6]
- Change in attention assessed by the Trail Making Test Part A (TMT-A) [Time frame: Baseline, Month 3, Month 4, and Month 6]
- Change in executive function assessed by the Stroop Color-Word Test [Time frame: Baseline, Month 3, Month 4, and Month 6]
- Change in visuospatial function assessed by the Clock Drawing Test (CDT) [Time frame: Baseline, Month 3, Month 4, and Month 6]
- Change in activities of daily living assessed by the Activities of Daily Living (ADL) scale [Time frame: Baseline, Month 3, Month 4, and Month 6]
Eligibility criteria
Inclusion criteria
- Age >= 60 years;
- Planning to reside in the community for at least 12 months, with no intention to move into a nursing home;
- No clinical diagnosis of dementia;
- Meeting the diagnostic criteria for mild cognitive impairment (MCI) as defined in the Chinese Expert Consensus on the Diagnosis and Treatment of Alzheimer's Disease-Related Mild Cognitive Impairment (2021), The cut-off scores for the Beijing version of the Montreal Cognitive Assessment (MoCA) were adjusted for educational level: <=13 for junior high school or below, <=19 for high school, and <=24 for college education or above. Mini-Mental State Examination (MMSE) score >= 24; Activities of Daily Living (ADL) score <23.
- Able to use a mobile application (mini program) to perform cognitive training.
Exclusion criteria
- Individuals unable to complete the questionnaires due to hearing or visual impairments;
- Those with other organic diseases of the central nervous system, such as brain tumors, epilepsy, or Parkinson's disease;
- Those diagnosed with severe mental disorders, such as schizophrenia, depression, or anxiety disorders.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Non-randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Treatment
Study locations
China · 1 center
- Ren'ai Changwan Community Elderly Care Service Station, Dadong — Shenyang
Identifiers
NCT: NCT07753382 · China Medical University