首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:What do neuroanatomical networks reveal about the ontology of human cognitive abilities?
  • 本地全文:下载
  • 作者:Daniel Kristanto ; Xinyang Liu ; Werner Sommer
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:8
  • 页码:1-20
  • DOI:10.1016/j.isci.2022.104706
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryOver the last decades, cognitive psychology has come to a fair consensus about the human intelligence ontological structure. However, it remains an open question whether anatomical properties of the brain support the same ontology. The present study explored the ontological structure derived from neuroanatomical networks associated with performance on 15 cognitive tasks indicating various abilities. Results suggest that the brain-derived (neurometric) ontology partly agrees with the cognitive performance-derived (psychometric) ontology complemented with interpretable differences. Moreover, the cortical areas associated with different inferred abilities are segregated, with little or no overlap. Nevertheless, these spatially segregated cortical areas are integrated via denser white matter structural connections as compared with the general brain connectome. The integration of ability-related cortical networks constitutes a neural counterpart to the psychometric construct of general intelligence, while the consistency and difference between psychometric and neurometric ontologies represent crucial pieces of knowledge for theory building, clinical diagnostics, and treatment.Graphical abstractDisplay OmittedHighlights•Psychometric and neurometric cognitive ontologies are partly equivalent•Ability-related brain areas are ontologically segregated with little to no overlap•However, ability-related brain areas are densely interconnected by fiber tractsSystems neuroscience; Cognitive neuroscience
国家哲学社会科学文献中心版权所有