ArticleFrontiers in neuroscience2021
Morphometric and Functional Brain Connectivity Differentiates Chess Masters From Amateur Players.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and coordinate-based meta-analysis of resting-state fMRI in athletes from open and closed skills sports.Scientific reports · 2025Pooled it
- Hemispheric Network Dynamics During Auditory Language Comprehension and Its Clinical Implications Regarding Resting-State Functional Magnetic Resonance Imaging.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Modeling functional connectivity changes during an auditory language task using line graph neural networks.Frontiers in computational neuroscience · 2024Article
- Layer-dependent stability of intracortical recordings and neuronal cell loss.Frontiers in neuroscience · 2023Article
- Decoding everyday levels of musical training from subcortical white-matter architecture.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
4 authors.
Funding
Abstract
A common task in brain image analysis includes diagnosis of a certain medical condition wherein groups of healthy controls and diseased subjects are analyzed and compared. On the other hand, for two groups of healthy participants with different proficiency in a certain skill, a distinctive analysis of the brain function remains a challenging problem. In this study, we develop new computational tools to explore the functional and anatomical differences that could exist between the brain of healthy individuals identified on the basis of different levels of task experience/proficiency. Toward this end, we look at a dataset of amateur and professional chess players, where we utilize resting-state functional magnetic resonance images to generate functional connectivity (FC) information. In addition, we utilize T1-weighted magnetic resonance imaging to estimate morphometric connectivity (MC) information. We combine functional and anatomical features into a new connectivity matrix, which we term as the
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Registered trials
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.