Dataset Information

Commute Time as a Method to Explore Brain Functional Connectomes.

ABSTRACT: Graph theory has been extensively applied to investigate complex brain networks in current neuroscience research. Many metrics derived from graph theory, such as local and global efficiencies, are based on the path length between nodes. These approaches are commonly used in analyses of brain networks assessed by resting-state functional magnetic resonance imaging, although relying on the strong assumption that information flow throughout the network is restricted to the shortest paths. In this study, we propose the utilization of commute time as a tool to investigate regional centrality on the functional connectome. Our initial hypothesis was that an alternative approach that considers alternative routes (such as commute time) could provide further information into the organization of functional networks. However, our empirical findings on the ADHD-200 database suggest that at the group level, the commute time and shortest path are highly correlated. In contrast, at the subject level, we discovered that commute time is much less susceptible to head motion artifacts when compared with metrics based on shortest paths. Given the overall similarity between the measures, we argue that commute time might be advantageous particularly for connectomic studies in populations where motion artifacts are a major issue.

SUBMITTER: Sato JR

PROVIDER: S-EPMC6909729 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Commute Time as a Method to Explore Brain Functional Connectomes.

Sato João Ricardo JR Sato Cristiane Maria CM Silva Marcel K de Carli MKC Biazoli Claudinei Eduardo CE

Brain connectivity 20181226 2

Graph theory has been extensively applied to investigate complex brain networks in current neuroscience research. Many metrics derived from graph theory, such as local and global efficiencies, are based on the path length between nodes. These approaches are commonly used in analyses of brain networks assessed by resting-state functional magnetic resonance imaging, although relying on the strong assumption that information flow throughout the network is restricted to the shortest paths. In this s ...[more]

PMID: 30398376

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Dataset Information

Commute Time as a Method to Explore Brain Functional Connectomes.

Publications

Commute Time as a Method to Explore Brain Functional Connectomes.

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