Evidence map›Paper›PMID 27628682›Full record

ArticleScientific reports2016

The Impact of Cognitive Training on Cerebral White Matter in Community-Dwelling Elderly: One-Year Prospective Longitudinal Diffusion Tensor Imaging Study.

Xinyi Cao, Ye Yao, Ting Li, Yan Cheng, Wei Feng, Yuan Shen, Qingwei Li, Lijuan Jiang, Wenyuan Wu, Jijun Wang and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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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  18. Cognitive Training in Parkinson's Disease Induces Local, Not Global, Changes in White Matter Microstructure.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Article
  19. Article
  20. The Neurocognitive Effects ofFrontiers in aging neuroscience · 2021
    Article
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.

Xinyi CaoShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Ye YaoInstitute of Science and Technology for Brain-Inspired Intellegence, Fudan University, Shanghai, 200433, China.
Ting LiShanghai Changning Mental Health Center, Shanghai, 200335, China.
Yan ChengShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Wei FengDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, 200065, China.
Yuan ShenDepartment of Psychiatry, Tenth People's Hospital of Tongji University, Shanghai, 200072, China.
Qingwei LiDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, 200065, China.
Lijuan JiangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Wenyuan WuDepartment of Psychiatry, Tongji Hospital of Tongji University, Shanghai, 200065, China.
Jijun WangShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Jianhua ShengShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Jianfeng FengInstitute of Science and Technology for Brain-Inspired Intellegence, Fudan University, Shanghai, 200433, China.
Chunbo LiShanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been shown that cognitive training (CogTr) is effective and recuperative for older adults, and can be used to fight against cognitive decline. In this study, we investigated whether behavioural gains from CogTr would extend to white matter (WM) microstructure, and whether training-induced changes in WM integrity would be associated with improvements in cognitive function, using diffusion tensor imaging (DTI). 48 healthy community elderly were either assigned to multi-domain or single-domain CogTr groups to receive 24 sessions over 12 weeks, or to a control group. DTI was performed at both baseline and 12-month follow-up. Positive effects of multi-domain CogTr on long-term changes in DTI indices were found in posterior parietal WM. Participants in the multi-domain group showed a trend of long-term decrease in axial diffusivity (AD) without significant change in fractional anisotropy (FA), mean diffusivity (MD) or radial diffusivity (RD), while those in the control group displayed a significant FA decrease, and an increase in MD and RD. In addition, significant relationships between an improvement in processing speed and changes in RD, MD and AD were found in the multi-domain group. These findings support the hypothesis that plasticity of WM can be modified by CogTr, even in late adulthood.

Indexed as

AgedCognitionCognitive Behavioral TherapyDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedIndependent LivingLongitudinal StudiesMaleNeuropsychological TestsProspective StudiesTime FactorsWhite Matter

Identifiers

PMID27628682
PMCPMC5024122

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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.