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This study is to investigate the effectiveness of computerized cognitive training, and corresponding neural substrates through multimodal neuroimaging assessment, in the elderly with normal cognition, subjective cognitive impairment, and mild cognitive impairment.
Computerized cognitive training has the advantage of easy accessibility for community-dwelling elderly. It can be much cheaper than traditional neuropsychological training methods, which require trained neuropsychologists. Furthermore, it may be more fun and easier to be optimized to an individual patients' cognitive status than other traditional methods.
Clinical efficacy of these kinds of cognitive training applications has been validated through several studies. A recent systematic review reported that the domains of working memory, executive function, and processing speed benefited the most by classic computerized cognitive training tasks, and that these benefits were comparable with traditional cognitive training methods. Apart from neuropsychological data, neuroimaging studies focusing on the effectiveness of computerized cognitive training are scant.
There have been no previous studies investigating the possible neural substrates of computerized cognitive training using multimodal neuroimaging modalities simultaneously. Thus, we aimed to investigate the effectiveness of computerized cognitive training and corresponding neural substrates in subjects with mild cognitive impairment, subjective memory impairment, and normal controls through a multimodal approach.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Mild cognitive impairment | Experimental | Intervention: Computerized Cognitive Training Apparatus |
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| Subjective cognitive impairment | Experimental | Intervention: Computerized Cognitive Training Apparatus |
|
| Normal controls | Active Comparator | Intervention: Computerized Cognitive Training Apparatus |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Computerized Cognitive Training Apparatus | Behavioral | CoCoTA was developed through collaborative research with the Korean Institute of Science and Technology (KIST) and Primpo Co. Ltd. (www.primpo.com). It was designed to stimulate numerous cognitive domains simultaneously by using sounds and objects familiar to Korean elderly. Training themes and scenarios were developed and evaluated by six board-certified neurologists and three neuropsychologists who specialize in dementia. Each subject participated in a total of 24 sessions of cognitive training, which consisted of 40 minutes of training, twice per week. To assure the consistency of cognitive training, trained personnel stayed nearby the subjects to help throughout the training process. |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical improvement in the follow-up neuropsychological tests | changes in memory and frontal domain subscores between the baseline and follow-up | 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Cortical thickness changes between baseline and follow-up volumetric MRI | surface-based morphometry using freesurfer software | 12 weeks |
| White matter integrities changes between baseline and follow-up diffusion tensor imaging |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| SangYun Kim, MD,PhD | Seoul National University Bundang Hospital | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30198220 | Result | Na HR, Lim JS, Kim WJ, Jang JW, Baek MJ, Kim J, Park YH, Park SY, Kim S. Multimodal Assessment of Neural Substrates in Computerized Cognitive Training: A Preliminary Study. J Clin Neurol. 2018 Oct;14(4):454-463. doi: 10.3988/jcn.2018.14.4.454. Epub 2018 Jun 26. |
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| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
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|
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tract-based spatial statistics using fsl software
| 12 weeks |
| Spectral ratio changes between baseline and follow-up EEG | EEG spectral ratio analysis | 12 weeks |
| local activation pattern changes between baseline and follow-up Fludeoxyglucose PET | local activation pattern analysis using SPM | 12 weeks |