Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review

Farahani, Farzad V.; Karwowski, Waldemar; Lighthall, Nichole R.

doi:10.3389/fnins.2019.00585

reviewFrontiers in NeuroscienceJun 6, 2019GOLD OA

Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review

FVFarzad V. Farahani WKWaldemar Karwowski NRNichole R. Lighthall

University of Central Florida

PubMed

Indexed incrossrefdoajpubmed

Abstract

This review provides an insight into how to utilize graph theoretical measures to make neurobiological inferences regarding the mechanisms underlying human cognition and behavior as well as different brain disorders.

Citation impact

706

total citations

FWCI: 35.38
Percentile: 100%
References: 329

Citations per year

Authors

3

Topics & keywords

Topics

Keywords

Connectome
Human Connectome Project
Computer science
Connectomics
Cognition
Graph theory
Functional magnetic resonance imaging
Power graph analysis

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