{"title":"视觉运动、反应控制和工作记忆过程中大脑内在网络的激活和动态连接调节","authors":"Elif Kurt, Ali Bayram, Tamer Demiralp","doi":"10.1111/ejn.70228","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Large-scale intrinsic connectivity networks (ICNs) flexibly reconfigure in response to changing task demands, enabling adaptive cognitive functions. The study aimed to determine whether ICNs exhibit selective, task-sensitive reorganization across different cognitive domains, rather than uniform shifts in network architecture. For this purpose, we examined how ICNs reorganize during visuomotor integration, response control, and working memory domains, which are expected to engage different network configurations. Functional magnetic resonance imaging data were acquired from 28 healthy adults performing tasks targeting these domains. Using group-level independent component analysis (ICA), we identified ICNs and assessed their intrinsic activity and task-modulated dynamic functional network connectivity (dFNC), estimated via sliding-window correlations and multiple regression modeling. Results revealed domain-specific yet partially overlapping reconfiguration profiles. The frontoparietal network demonstrated selective increases in connectivity with the dorsal attention network during working memory and with the ventral attention network during response inhibition, supporting its role as a flexible hub. The default mode and limbic networks showed progressive intrinsic deactivation with increasing working memory load, along with distinct intra- and inter-network connectivity changes. The basal ganglia displayed domain-general engagement by interacting with default mode, attentional, and sensory networks across task conditions. Even the visual and somatomotor networks were dynamically engaged depending on task context. These findings support the view that adaptive cognition arises from selective and domain-dependent ICN reconfiguration rather than global connectivity shifts. Methodologically, the combined ICA and dFNC framework enabled a comprehensive assessment of both network activation and connectivity, offering a refined window into the functional architecture of flexible brain organization.</p>\n </div>","PeriodicalId":11993,"journal":{"name":"European Journal of Neuroscience","volume":"62 4","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Activation and Dynamic Connectivity Modulations of the Brain's Intrinsic Networks During Visuomotor, Response Control, and Working Memory Processes\",\"authors\":\"Elif Kurt, Ali Bayram, Tamer Demiralp\",\"doi\":\"10.1111/ejn.70228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Large-scale intrinsic connectivity networks (ICNs) flexibly reconfigure in response to changing task demands, enabling adaptive cognitive functions. The study aimed to determine whether ICNs exhibit selective, task-sensitive reorganization across different cognitive domains, rather than uniform shifts in network architecture. For this purpose, we examined how ICNs reorganize during visuomotor integration, response control, and working memory domains, which are expected to engage different network configurations. Functional magnetic resonance imaging data were acquired from 28 healthy adults performing tasks targeting these domains. Using group-level independent component analysis (ICA), we identified ICNs and assessed their intrinsic activity and task-modulated dynamic functional network connectivity (dFNC), estimated via sliding-window correlations and multiple regression modeling. Results revealed domain-specific yet partially overlapping reconfiguration profiles. The frontoparietal network demonstrated selective increases in connectivity with the dorsal attention network during working memory and with the ventral attention network during response inhibition, supporting its role as a flexible hub. The default mode and limbic networks showed progressive intrinsic deactivation with increasing working memory load, along with distinct intra- and inter-network connectivity changes. The basal ganglia displayed domain-general engagement by interacting with default mode, attentional, and sensory networks across task conditions. Even the visual and somatomotor networks were dynamically engaged depending on task context. These findings support the view that adaptive cognition arises from selective and domain-dependent ICN reconfiguration rather than global connectivity shifts. Methodologically, the combined ICA and dFNC framework enabled a comprehensive assessment of both network activation and connectivity, offering a refined window into the functional architecture of flexible brain organization.</p>\\n </div>\",\"PeriodicalId\":11993,\"journal\":{\"name\":\"European Journal of Neuroscience\",\"volume\":\"62 4\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ejn.70228\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejn.70228","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Activation and Dynamic Connectivity Modulations of the Brain's Intrinsic Networks During Visuomotor, Response Control, and Working Memory Processes
Large-scale intrinsic connectivity networks (ICNs) flexibly reconfigure in response to changing task demands, enabling adaptive cognitive functions. The study aimed to determine whether ICNs exhibit selective, task-sensitive reorganization across different cognitive domains, rather than uniform shifts in network architecture. For this purpose, we examined how ICNs reorganize during visuomotor integration, response control, and working memory domains, which are expected to engage different network configurations. Functional magnetic resonance imaging data were acquired from 28 healthy adults performing tasks targeting these domains. Using group-level independent component analysis (ICA), we identified ICNs and assessed their intrinsic activity and task-modulated dynamic functional network connectivity (dFNC), estimated via sliding-window correlations and multiple regression modeling. Results revealed domain-specific yet partially overlapping reconfiguration profiles. The frontoparietal network demonstrated selective increases in connectivity with the dorsal attention network during working memory and with the ventral attention network during response inhibition, supporting its role as a flexible hub. The default mode and limbic networks showed progressive intrinsic deactivation with increasing working memory load, along with distinct intra- and inter-network connectivity changes. The basal ganglia displayed domain-general engagement by interacting with default mode, attentional, and sensory networks across task conditions. Even the visual and somatomotor networks were dynamically engaged depending on task context. These findings support the view that adaptive cognition arises from selective and domain-dependent ICN reconfiguration rather than global connectivity shifts. Methodologically, the combined ICA and dFNC framework enabled a comprehensive assessment of both network activation and connectivity, offering a refined window into the functional architecture of flexible brain organization.
期刊介绍:
EJN is the journal of FENS and supports the international neuroscientific community by publishing original high quality research articles and reviews in all fields of neuroscience. In addition, to engage with issues that are of interest to the science community, we also publish Editorials, Meetings Reports and Neuro-Opinions on topics that are of current interest in the fields of neuroscience research and training in science. We have recently established a series of ‘Profiles of Women in Neuroscience’. Our goal is to provide a vehicle for publications that further the understanding of the structure and function of the nervous system in both health and disease and to provide a vehicle to engage the neuroscience community. As the official journal of FENS, profits from the journal are re-invested in the neuroscientific community through the activities of FENS.