Evidence map›Paper›PMID 26762334›Full record

Trial reportBMC geriatrics2016

Cognitive training can reduce the rate of cognitive aging: a neuroimaging cohort study.

Ting Li, Ye Yao, Yan Cheng, Bing Xu, Xinyi Cao, David Waxman, Wei Feng, Yuan Shen, Qingwei Li, Jijun Wang and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

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  9. Review
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  12. Long-Term Effects of the Multicomponent Program BrainProtectJournal of Alzheimer's disease reports · 2024
    Article
  13. Cognitive Training Effect and Imaging Evidence.Advances in experimental medicine and biology · 2023
    Article
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  17. Brain Structural Changes in Patients with Pulmonary Arterial Hypertension.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021
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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

13 authors.

Ting LiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ye YaoCentre for Computational Systems Biology, Fudan University, Shanghai, China.
Yan ChengDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, China.
Bing XuCentre for Computational Systems Biology, Fudan University, Shanghai, China.
Xinyi CaoShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
David WaxmanCentre for Computational Systems Biology, Fudan University, Shanghai, China.
Wei FengDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, China.
Yuan ShenDepartment of Psychiatry, Tenth People's Hospital of Tongji University, Shanghai, China.
Qingwei LiDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, China.
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenyuan WuDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, China.
Chunbo LiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. chunbo_li@163.com.
Jianfeng FengCentre for Computational Systems Biology, Fudan University, Shanghai, China. jffeng@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe neural mechanisms underlying the restorative effects of cognitive training on aging brains remain unclear. To address this issue, we examined the relationship between changes in spontaneous brain activity and cognitive performance that occur after cognitive training.

methodsParticipants were older adults who were part of a randomized control trial within a larger longitudinal cognitive training study. We conducted single-domain and multi-domain cognitive training in two respective intervention groups. Participants were trained for 1 h, twice a week, for 12 weeks. Cognition was assessed in all participants and magnetic resonance images were obtained at baseline and 1 year after training. To assess spontaneous fluctuations in brain activity, we acquired resting-state fMRI data. Two indices-functional entropy and time-domain entropy-were used to measure the effects of training. Functional entropy increases with aging, and indicates disruptions in functional conectivity. Time-domain entropy decreases with aging, and indicates structural alterations in the brain and blood-flow reduction.

resultsSeventy participants completed the study: 26 in the multi-domain cognitive training group (70.38 ± 3.30 yrs), 27 in single-domain group (70.48 ± 3.93 yrs), and 17 in a control group (68.59 ± 3.24 yrs). Functional entropy increased significantly less in the multi-domain (p = 0.047) and single-domain groups (p = 9.51 × 10(-4)) compared with the control group. In the multi-domain group, this was true in the paracentral lobule (p = 0.004, Bonferroni corrected p < 0.05). Time-domain entropy also improved with training. Compared with controls, time-domain entropy in the multi-domain group decreased less in the inferior frontal gyrus pars opercularis (p = 3.59 × 10(-4)), the medial part of superior frontal gyrus (p = 1.17 × 10(-5)), and the thalamus (p = 4.72 × 10(-5)), while that in the single-domain group decreased less in the cuneus (p = 2.58 × 10(-4), Bonferroni corrected p < 0.05). Additionally, changes in regional entropy for some regions such as hippocampus significantly correlated with improvements in cognitive performance.

conclusionsCognitive training can induce plastic changes in neural functional connectivity of healthy older people, and these changes may underlie the positive effect of cognitive training.

trial registrationChiCTR-TRC-08000732 (Date of registration: 5th November, 2008).

Indexed as

BrainCognition DisordersAgedCognitionCognitive AgingCohort StudiesFemaleFunctional NeuroimagingHumansLearningLongitudinal StudiesMagnetic Resonance ImagingMaleOutcome Assessment, Health Care

Identifiers

PMID26762334
PMCPMC4712458

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.