The fronto-parietal network is not a flexible hub during naturalistic cognition

被引:12
作者
Caldinelli, Chiara [1 ]
Cusack, Rhodri [1 ]
机构
[1] Trinity Coll Dublin, Trinity Coll, Inst Neurosci, Dublin, Ireland
关键词
dynamic functional connectivity; fronto-parietal network; movie watching; FUNCTIONAL CONNECTIVITY; FMRI; ATTENTION; MODEL;
D O I
10.1002/hbm.25684
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The fronto-parietal network (FPN) is crucial for cognitively demanding tasks as it selectively represents task-relevant information and controls other brain regions. To implement these functions, it has been argued that it is a flexible hub that reconfigures its functional connectivity with other networks. This was supported by a study in which a set of demanding tasks were presented, that varied in their sensory features, comparison rules, and response mappings, and the FPN showed greater reconfiguration of functional connectivity between tasks than any other network. However, this task set was designed to engage the FPN, and therefore it remains an open question whether the FPN is in a flexible hub in general or only for such task sets. Using two freely available datasets (Experiment 1, N = 15, Experiment 2, N = 644), we examined dynamic functional connectivity during naturalistic cognition, while participants watched a movie. Many differences in the flexibility were found across networks but the FPN was not the most flexible hub in the brain, during either movie for any of two measures, using a regression model or a correlation model and across five timescales. We, therefore, conclude that the FPN does not have the trait of being a flexible hub, although it may adopt this state for particular task sets.
引用
收藏
页码:750 / 759
页数:10
相关论文
共 31 条
[1]   Unified segmentation [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2005, 26 (03) :839-851
[2]   A fast diffeomorphic image registration algorithm [J].
Ashburner, John .
NEUROIMAGE, 2007, 38 (01) :95-113
[3]   Flexible Coordinator and Switcher Hubs for Adaptive Task Control [J].
Cocuzza, Carrisa, V ;
Ito, Takuya ;
Schultz, Douglas ;
Bassett, Danielle S. ;
Cole, Michael W. .
JOURNAL OF NEUROSCIENCE, 2020, 40 (36) :6949-6968
[4]   Multi-task connectivity reveals flexible hubs for adaptive task control [J].
Cole, Michael W. ;
Reynolds, Jeremy R. ;
Power, Jonathan D. ;
Repovs, Grega ;
Anticevic, Alan ;
Braver, Todd S. .
NATURE NEUROSCIENCE, 2013, 16 (09) :1348-U247
[5]   Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML [J].
Cusack, Rhodri ;
Vicente-Grabovetsky, Alejandro ;
Mitchell, Daniel J. ;
Wild, Conor J. ;
Auer, Tibor ;
Linke, Annika C. ;
Peelle, Jonathan E. .
FRONTIERS IN NEUROINFORMATICS, 2015, 8
[6]   A neuronal model of a global workspace in effortful cognitive tasks [J].
Dehaene, S ;
Kerszberg, M ;
Changeux, JP .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (24) :14529-14534
[7]   A neural basis for general intelligence [J].
Duncan, J ;
Seitz, RJ ;
Kolodny, J ;
Bor, D ;
Herzog, H ;
Ahmed, A ;
Newell, FN ;
Emslie, H .
SCIENCE, 2000, 289 (5478) :457-460
[8]   An adaptive coding model of neural function in prefrontal cortex [J].
Duncan, J .
NATURE REVIEWS NEUROSCIENCE, 2001, 2 (11) :820-829
[9]   Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity [J].
Finn, Emily S. ;
Shen, Xilin ;
Scheinost, Dustin ;
Rosenberg, Monica D. ;
Huang, Jessica ;
Chun, Marvin M. ;
Papademetris, Xenophon ;
Constable, R. Todd .
NATURE NEUROSCIENCE, 2015, 18 (11) :1664-1671
[10]   Categorical representation of visual stimuli in the primate prefrontal cortex [J].
Freedman, DJ ;
Riesenhuber, M ;
Poggio, T ;
Miller, EK .
SCIENCE, 2001, 291 (5502) :312-316