Evidence map›Paper›PMID 38828650›Full record

Trial reportCNS neuroscience & therapeutics2024

Effects of computerized cognitive training on functional brain networks in patients with vascular cognitive impairment and no dementia.

Qiong-Ge Li, Yi Xing, Zu-De Zhu, Xiao-Lu Fei, Yi Tang, Jie Lu

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Digital Therapeutics in China: Comprehensive Review.Journal of medical Internet research · 2025
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
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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

6 authors.

Qiong-Ge LiDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-3863-954X
Yi XingDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zu-De ZhuCollaborative Innovation Center for Language Ability, Jiangsu Normal University, Xuzhou, China.
Xiao-Lu FeiDepartment of Information, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yi TangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8052-065X
Jie LuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-0425-3921

Funding

Huizhi Ascent Project of Xuanwu Hospital HZ2021ZCLJ005
6 · The paper itself

Abstract

aimsPrevious neuroimaging studies of vascular cognitive impairment, no dementia (VCIND), have reported functional alterations, but far less is known about the effects of cognitive training on functional connectivity (FC) of intrinsic connectivity networks (ICNs) and how they relate to intervention-related cognitive improvement. This study provides comprehensive research on the changes in intra- and inter-brain functional networks in patients with VCIND who received computerized cognitive training, with a focus on the underlying mechanisms and potential therapeutic strategies.

methodsWe prospectively collected 60 patients with VCIND who were randomly divided into the training group (N = 30) receiving computerized cognitive training and the control group (N = 30) receiving fixed cognitive training. Functional MRI scans and cognitive assessments were performed at baseline, at the 7-week training, and at the 6-month follow-up. Utilizing templates for ICNs, the study employed a linear mixed model to compare intra- and inter-network FC changes between the two groups. Pearson correlation was applied to calculate the relationship between FC and cognitive function.

resultsWe found significantly decreased intra-network FC within the default mode network (DMN) following computerized cognitive training at Month 6 (p = 0.034), suggesting a potential loss of functional specialization. Computerized training led to increased functional coupling between the DMN and sensorimotor network (SMN) (p = 0.01) and between the language network (LN) and executive control network (ECN) at Month 6 (p < 0.001), indicating compensatory network adaptations in patients with VCIND. Notably, the intra-LN exhibited enhanced functional specialization after computerized cognitive training (p = 0.049), with significant FC increases among LN regions, which correlated with improvements in neuropsychological measures (p < 0.05), emphasizing the targeted impact of computerized cognitive training on language abilities.

conclusionsThis study provides insights into neuroplasticity and adaptive changes resulting from cognitive training in patients with VCIND, with implications for potential therapeutic strategies.

Indexed as

BrainCognitive DysfunctionMagnetic Resonance ImagingNerve NetAgedCognitive TrainingFemaleHumansMaleMiddle AgedProspective StudiesTherapy, Computer-Assistedcomputerized cognitive trainingfunctional connectivityfunctional magnetic resonance imagingintrinsic connectivity networkvascular cognitive impairment no dementia

Identifiers

PMID38828650
PMCPMC11145123

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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.