Impact of working memory training on brain network integration and neurotransmitter systems: a resting-state fMRI.

Clicks: 111
ID: 282146
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #13 of 107 articles by views in cerebral cortex (new york, ny : 1991)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Working memory training (WMT) has been demonstrated to enhance cognitive performance, yet the underlying neural mechanisms remain insufficiently understood. Brain network connectivity, particularly as measured by the participation coefficient (PC), offers a valuable framework for elucidating these neural changes. This study investigated the effects of WMT on brain network connectivity, utilizing PC as a primary assessment of network integration and segregation. The relationship between WMT-induced changes in PC and the density of specific neurotransmitter receptors was examined. Seventy-six healthy participants were randomly assigned to either a WMT group or a control group. After 8 wks of training, the WMT group exhibited significant cognitive improvements, especially in near and far transfer tasks. These behavioral improvements were accompanied by specific changes in brain connectivity, including a reduction in PC within the sensorimotor network and node-specific alterations in the left prefrontal cortex, temporo-occipital-parietal junction, and parietal operculum. Moreover, changes in PC were significantly correlated with the density of dopamine D2 receptors, mu-opioid receptors, and metabotropic glutamate receptor 5. These findings enhance our understanding of how WMT influences cognitive function and brain network connectivity, highlighting the potential for targeting specific networks and neurotransmitter systems in cognitive training interventions.
Reference Key
ma2025impact Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ma, Chaozong; Li, Yijun; Gao, Yuntao; Lin, Xinxin; Hou, Yilin; He, Wei; Zhu, Yuanqiang; Jiang, Jun; Xie, Yuanjun; Fang, Peng
Journal cerebral cortex (new york, ny : 1991)
Year 2025
DOI
10.1093/cercor/bhaf081
URL
Keywords
functional magnetic resonance imaging working memory training brain network connectivity neurotransmitter receptors participation coefficient

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.