Literature DB >> 28985931

Graph Theoretic Analysis of Resting State Functional MR Imaging.

John D Medaglia1.   

Abstract

Graph theoretic analyses applied to examine the brain at rest have played a critical role in clarifying the foundations of the brain's intrinsic and task-related activity. There are many opportunities for clinical scientists to describe and predict dysfunction using a network perspective. This primer describes the theoretic basis and practical application of graph theoretic analysis to resting state functional MR imaging data. Major practices, concepts, and findings are concisely reviewed. The theoretic and practical frontiers of resting state functional MR imaging are highlighted with observations about major avenues for conceptual advances and clinical translation.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectome; Graph theory; Network analysis; Networks; Neuroimaging; Resting state fMR imaging

Mesh:

Year:  2017        PMID: 28985931      PMCID: PMC5708872          DOI: 10.1016/j.nic.2017.06.008

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  94 in total

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Journal:  Neuroimage       Date:  2017-03-14       Impact factor: 6.556

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Authors:  Kevin Murphy; Rasmus M Birn; Daniel A Handwerker; Tyler B Jones; Peter A Bandettini
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  13 in total

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6.  Effect of APOEε4 on Functional Brain Network in Patients with Subjective Cognitive Decline: A Resting State Functional MRI Study.

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10.  New ways of understanding brain neurocircuitry.

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