Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing

被引:15
|
作者
Jang, Changwon [1 ,2 ]
Knight, Elizabeth Quattrocki [3 ]
Pae, Chongwon [1 ,2 ]
Park, Bumhee [4 ]
Yoon, Shin-Ae [2 ,5 ]
Park, Hae-Jeong [1 ,2 ,5 ]
机构
[1] Yonsei Univ, Coll Med, PLUS Project Med Sci BK21, Seoul, South Korea
[2] Yonsei Univ, Coll Med, Severance Hosp, Dept Nucl Med,Dept Radiol,Dept Psychiat, Seoul, South Korea
[3] Harvard Med Sch, McLean Hosp, Dept Psychiat, 115 Mill St, Belmont, MA 02478 USA
[4] Hankuk Univ Foreign Studies, Dept Stat, Yongin, South Korea
[5] Yonsei Univ, Dept Cognit Sci, Seoul, South Korea
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
基金
新加坡国家研究基金会;
关键词
RICH-CLUB ORGANIZATION; FUNCTIONAL CONNECTIVITY; INTERSUBJECT CORRELATIONS; COMMUNITY STRUCTURE; SYNCHRONIZATION; PREDICTION; DISCOVERY; CORRELATE; MODEL;
D O I
10.1038/srep41414
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
Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional connectivity, have not been fully evidenced. Accordingly, we explored inter-individual variations of functional connectivity dynamics, subnetwork patterns and modular architecture while subjects watched identical video clips designed to induce different arousal levels. How inter-individual variations are manifested in the functional brain networks was examined with respect to four contrasting divisions: edges within the anterior versus posterior part of the brain, edges with versus without corresponding anatomically-defined structural pathways, inter-versus intra-module connections, and rich club edge types. Inter-subject variation in dynamic functional connectivity occurred to a greater degree within edges localized to anterior rather than posterior brain regions, without adhering to structural connectivity, between modules as opposed to within modules, and in weak-tie local edges rather than strong-tie rich-club edges. Arousal level significantly modulates inter-subject variability in functional connectivity, edge patterns, and modularity, and particularly enhances the synchrony of rich-club edges. These results imply that individuality resides in the dynamic reconfiguration of large-scale brain networks in response to a stream of cognitive demands.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Brain Network Reconfiguration During Motor Imagery Revealed by a Large-Scale Network Analysis of Scalp EEG
    Li, Fali
    Yi, Chanlin
    Song, Limeng
    Jiang, Yuanling
    Peng, Wenjing
    Si, Yajing
    Zhang, Tao
    Zhang, Rui
    Yao, Dezhong
    Zhang, Yangsong
    Xu, Peng
    [J]. BRAIN TOPOGRAPHY, 2019, 32 (02) : 304 - 314
  • [32] An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG
    Taylor, Christopher
    Breault, Macauley Smith
    Dorman, Daniel
    Greene, Patrick
    Sacre, Pierre
    Sampson, Aaron
    Niebur, Ernst
    Stuphorn, Veit
    Gonzalez-Martinez, Jorge
    Sarma, Sridevi
    [J]. BRAIN SCIENCES, 2024, 14 (08)
  • [33] Fmri study of changes in large-scale brain networks during affective touch
    Khorev, Vladimir
    Portnova, Galina
    Kushnir, Anastasia
    Mayorova, Larisa
    [J]. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2024,
  • [34] Dynamic effective connectivity among large-scale brain networks mediates risk of anxiety
    Tian, Tian
    Liu, Dong
    Zhang, Guiling
    Wang, Jian
    Wan, Changhua
    Fang, Jicheng
    Wu, Di
    Zhou, Yiran
    Qin, Yuanyuan
    Zhu, Hongquan
    Li, Yuanhao
    Liu, Chengxia
    Zhang, Jiaxuan
    Li, Jia
    Zhu, Wenzhen
    [J]. HUMAN BRAIN MAPPING, 2023, 44 (09) : 3730 - 3743
  • [35] Intrinsic, dynamic and effective connectivity among large-scale brain networks modulated by oxytocin
    Jiang, Xi
    Ma, Xiaole
    Geng, Yayuan
    Zhao, Zhiying
    Zhou, Feng
    Zhao, Weihua
    Yao, Shuxia
    Yang, Shimin
    Zhao, Zhongbo
    Becker, Benjamin
    Kendrick, Keith M.
    [J]. NEUROIMAGE, 2021, 227
  • [36] Fast paths in large-scale dynamic road networks
    Nannicini, Giacomo
    Baptiste, Philippe
    Barbier, Gilles
    Krob, Daniel
    Liberti, Leo
    [J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2010, 45 (01) : 143 - 158
  • [37] Active distributed monitoring for dynamic large-scale networks
    Liotta, A
    Pavlou, G
    Knight, G
    [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-10, CONFERENCE RECORD, 2001, : 1544 - 1550
  • [38] Large-Scale Multimodal Movie Dialogue Corpus
    Yasuhara, Ryu
    Inoue, Masashi
    Suga, Ikuya
    Kosaka, Tetsuo
    [J]. ICMI'16: PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2016, : 414 - 415
  • [39] Foundational perspectives on causality in large-scale brain networks
    Mannino, Michael
    Bressler, Steven L.
    [J]. PHYSICS OF LIFE REVIEWS, 2015, 15 : 107 - 123
  • [40] Stability constraints on large-scale structural brain networks
    Gray, Richard T.
    Robinson, Peter A.
    [J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7