4.5 Article

Changes in cognitive state alter human functional brain networks

期刊

FRONTIERS IN HUMAN NEUROSCIENCE
卷 5, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fnhum.2011.00083

关键词

network science; task-based; small-world; efficiency; modularity

资金

  1. National Institute of Neurological Disorders and Stroke at the National Institutes of Health [NS042568, NS070917]
  2. Wake Forest University General Clinic Research Center [RR07122]
  3. Roena Kulynych Memory and Cognition Research Center
  4. Translational Science Center at the Reynolda Campus of Wake Forest University

向作者/读者索取更多资源

The study of the brain as a whole system can be accomplished using network theory principles. Research has shown that human functional brain networks during a resting state exhibit small-world properties and high degree nodes, or hubs, localized to brain areas consistent with the default mode network. However, the study of brain networks across different tasks and or cognitive states has been inconclusive. Research in this field is important because the underpinnings of behavioral output are inherently dependent on whether or not brain networks are dynamic. This is the first comprehensive study to evaluate multiple network metrics at a voxel-wise resolution in the human brain at both the whole-brain and regional level under various conditions: resting state, visual stimulation, and multisensory (auditory and visual stimulation). Our results show that despite global network stability, functional brain networks exhibit considerable task-induced changes in connectivity, efficiency, and community structure at the regional level.

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