Evidence map›Paper›PMID 38895550›Full record

ArticleHealth science reports2024

Effects of computerized cognitive training on biomarker responses in older adults with mild cognitive impairment: A scoping review.

Hiroshi Hayashi, Toshimasa Sone, Kazuaki Iokawa, Koshi Sumigawa, Takaaki Fujita, Hironori Kawamata, Akihiko Asao, Iori Kawasaki, Maki Ogasawara, Shinobu Kawakatsu

Abstract readScoping Review
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hiroshi HayashiDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.ORCID 0000-0001-5855-491X
Toshimasa SoneDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Kazuaki IokawaDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Koshi SumigawaDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Takaaki FujitaDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Hironori KawamataDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Akihiko AsaoDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Iori KawasakiDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Maki OgasawaraDepartment of Occupational Therapy Fukushima Medical University School of Health Sciences Fukushima Japan.
Shinobu KawakatsuDepartment of Neuropsychiatry, Aizu Medical Center Fukushima Medical University Aizuwakamatsu Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Mild cognitive impairment (MCI) is a widespread condition in older individuals, posing significant risk of dementia. However, limited research has been conducted to explore effective interventions and clarify their impact at the neural level. Therefore, this study aimed to investigate the effects of computerized cognitive training (CCT) and explore the associated neural mechanisms in preventing dementia in older individuals with MCI, with a view to inform future intervention efforts. Methods: We reviewed the effects of CCT on biomarker outcomes in older adults with MCI. The search was conducted for studies published between 2010 and May 10, 2023, using three search engines: PubMed, Scopus, and Cumulative Index to Nursing and Allied Health Literature. The inclusion criteria were as follows: studies that involved participants diagnosed with MCI, included CCT, included quantitative assessment of biomarker results, and conducted randomized controlled trials. Results: Sixteen studies that used biomarkers, including magnetic resonance imaging, electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and blood or salivary biomarkers, were extracted. The results showed that CCT caused changes in structure and function within the main brain network, including the default mode network, and decreased both theta rhythm activity on EEG and prefrontal activity on fNIRS, with improvement in cognitive function. Furthermore, CCT combined with physical exercise showed more significant structural and functional changes in extensive brain regions compared with CCT alone. Virtual reality-based cognitive training improved not only executive function but also instrumental activities of daily living. Conclusion: CCT causes functional and structural changes in extensive brain regions and improves cognitive function in older adults with MCI. Our findings highlight the potential of individualized intervention methods and biomarker assessment according to the specific causes of MCI. Future research should aim to optimize these personalized therapeutic strategies to maximize the benefits of CCT in older adults with MCI.

Indexed as

biomarkerbrain‐derived neurotrophic factorcomputerized cognitive trainingelectroencephalographyfunctional near‐infrared spectroscopymagnetic resonance imagingmild cognitive impairment

Identifiers

PMID38895550
PMCPMC11182779

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.