Resting-brain functional connectivity predicted by analytic measures of network communication

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Resting-brain functional connectivity predicted by analytic measures of network communication.

The complex relationship between structural and functional connectivity, as measured by noninvasive imaging of the human brain, poses many unresolved challenges and open questions. Here, we apply analytic measures of network communication to the structural connectivity of the human brain and explore the capacity of these measures to predict resting-state functional connectivity across three ind...

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Introduction Synchronized low-frequency fluctuations in resting-state fMRI (1) have been used to investigate functional connectivity between brain areas. Recent studies demonstrate that this technique can be utilized in the study of Alzheimer’s disease (2), antidepressant effects (3), and “default mode” of brain networks (4). So far, most resting-state fMRI studies have been performed on humans...

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ژورنال

عنوان ژورنال: Proceedings of the National Academy of Sciences

سال: 2013

ISSN: 0027-8424,1091-6490

DOI: 10.1073/pnas.1315529111