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Published, Version of Record (VoR)CC BY-NC-ND V4.0, Open
Journal article
Graph Theoretic Analysis of Resting State Functional MR Imaging
Neuroimaging clinics of North America, v 27(4), pp 593-607
Nov 2017
PMID: 28985931
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Graph Theoretic Analysis of Resting State Functional MR Imaging
- Creators
- John D. Medaglia - University of Pennsylvania
- Publication Details
- Neuroimaging clinics of North America, v 27(4), pp 593-607
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000414275000006
- Scopus ID
- 2-s2.0-85030993892
- Other Identifier
- 991019296803704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Neuroimaging
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging