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

被引:0
作者
Zhang, Lu [1 ,2 ]
Pini, Lorenzo [2 ]
Shulman, Gordon L. [3 ,4 ]
Corbetta, Maurizio [2 ,5 ,6 ]
机构
[1] Ningbo Univ, Affiliated Kangning Hosp, Ningbo Kangning Hosp, Dept Psychiat, Ningbo 315201, Peoples R China
[2] Univ Padua, Padova Neurosci Ctr, I-35131 Padua, Italy
[3] Washington Univ St Louis, Dept Neurol, St Louis, MO 63110 USA
[4] Washington Univ St Louis, Dept Radiol, St Louis, MO 63110 USA
[5] Univ Padua, Dept Neurosci, I-35131 Padua, Italy
[6] Veneto Inst Mol Med, I-35129 Padua, Italy
基金
欧盟地平线“2020”;
关键词
spontaneous activity; rest; task; time-varying; FUNCTIONAL CONNECTIVITY; NETWORKS; PATTERNS; ARCHITECTURE; REGIONS; CORTEX; NOISE; MODE;
D O I
10.1073/pnas.2415508122
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Resting-State Functional MRI of Healthy Adults: Temporal Dynamic Brain Coactivation Patterns
    Liu, Tiantian
    Wang, Li
    Suo, Dingjie
    Zhang, Jian
    Wang, Kexin
    Wang, Jue
    Chen, Duanduan
    Yan, Tianyi
    RADIOLOGY, 2022, 304 (03) : 624 - 632
  • [2] Robust dynamic brain coactivation states estimated in individuals
    Peng, Xiaolong
    Liu, Qi
    Hubbard, Catherine S.
    Wang, Danhong
    Zhu, Wenzhen
    Fox, Michael D.
    Liu, Hesheng
    SCIENCE ADVANCES, 2023, 9 (03)
  • [3] Verbal Creativity Is Correlated With the Dynamic Reconfiguration of Brain Networks in the Resting State
    Feng, Qiuyang
    He, Li
    Yang, Wenjing
    Zhang, Yao
    Wu, Xinran
    Qiu, Jiang
    FRONTIERS IN PSYCHOLOGY, 2019, 10
  • [4] Dynamic Generative Model of the Human Brain in Resting-State
    Guo, Dali
    Arora, Viplove
    Amico, Enrico
    Goni, Joaquin
    Ventresca, Mario
    COMPLEX NETWORKS & THEIR APPLICATIONS VI, 2018, 689 : 1271 - 1283
  • [5] Task vs. rest-different network configurations between the coactivation and the resting-state brain networks
    Di, Xin
    Gohel, Suril
    Kim, Eun H.
    Biswal, Bharat B.
    FRONTIERS IN HUMAN NEUROSCIENCE, 2013, 7
  • [6] Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state
    Mokhtari, Fatemeh
    Akhlaghi, Milad, I
    Simpson, Sean L.
    Wu, Guorong
    Laurienti, Paul J.
    NEUROIMAGE, 2019, 189 : 655 - 666
  • [7] Estimation and validation of individualized dynamic brain models with resting state fMRI
    Singh, Matthew F.
    Braver, Todd S.
    Cole, Michael W.
    Ching, ShiNung
    NEUROIMAGE, 2020, 221
  • [8] Abnormal transitions of dynamic functional connectivity states in bipolar disorder: A whole-brain resting-state fMRI study
    Du, Mengjiao
    Zhang, Li
    Li, Linling
    Ji, Erni
    Han, Xue
    Huang, Gan
    Liang, Zhen
    Shi, Li
    Yang, Haichen
    Zhang, Zhiguo
    JOURNAL OF AFFECTIVE DISORDERS, 2021, 289 : 7 - 15
  • [9] A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks
    Liu, Aiping
    Chen, Xun
    Dan, Xiaojuan
    McKeown, Martin J.
    Wang, Z. Jane
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2016, 10 (07) : 1172 - 1181
  • [10] Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification
    Yang, Hang
    Yao, Xing
    Zhang, Hong
    Meng, Chun
    Biswal, Bharat
    BRAIN STRUCTURE & FUNCTION, 2023, 228 (07) : 1755 - 1769