Brain- wide dynamic coactivation states code for hand movements in the resting state

• 成果类型: Article
• 署名作者: Zhang, Lu; Pini, Lorenzo; Shulman, Gordon L.; Corbetta, Maurizio
• 署名单位: Ningbo University; University of Padua; Washington University (WUSTL); Washington University (WUSTL); University of Padua; Veneto Institute Molecular Medicine
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-12943
• DOI: 10.1073/pnas.2415508122
• 发表日期: 2025-03-18
• 关键词: functional connectivity; networks; patterns; architecture; regions; cortex; noise; mode

摘要

Resting brain activity, in the absence of explicit tasks, appears as distributed spatiotemporal patterns that reflect structural connectivity and correlate with behavioral traits. However, its role in shaping behavior remains unclear. Recent evidence shows that resting- state spatial patterns not only align with task- evoked topographies but also features, suggesting mechanisms for long- term storage and predictive coding. While prior research focused on static, time- averaged task activations, we examine whether dynamic, time- varying motor states seen during active hand movements are also present at rest. Three distinct motor activation states, engaging the motor cortex alongside sensory and association areas, were identified. These states appeared both at rest and during task execution but underwent temporal reorganization from rest to task. Thus, resting- state dynamics serve as strong spatiotemporal priors for task- based activation. Critically, resting- state patterns more closely resembled those associated with frequent ecological hand movements than with an unfamiliar movement, indicating a structured repertoire of movement patterns that is replayed at rest and reorganized during action. contributes to long- term memory storage, reinforcing the functional interplay between resting and task- driven brain activity.