Dataset Information

Optimal approaches to analyzing functional MRI data in glioma patients.

ABSTRACT:

Background

Resting-state fMRI is increasingly used to study the effects of gliomas on the functional organization of the brain. A variety of preprocessing techniques and functional connectivity analyses are represented in the literature. However, there so far has been no systematic comparison of how alternative methods impact observed results.

New method

We first surveyed current literature and identified alternative analytical approaches commonly used in the field. Following, we systematically compared alternative approaches to atlas registration, parcellation scheme, and choice of graph-theoretical measure as regards differentiating glioma patients (N = 59) from age-matched reference subjects (N = 163).

Results

Our results suggest that non-linear, as opposed to affine registration, improves structural match to an atlas, as well as measures of functional connectivity. Functionally- as opposed to anatomically-derived parcellation schemes maximized the contrast between glioma patients and reference subjects. We also demonstrate that graph-theoretic measures strongly depend on parcellation granularity, parcellation scheme, and graph density.

Comparison with existing methods and conclusions

Our current work primarily focuses on technical optimization of rs-fMRI analysis in glioma patients and, therefore, is fundamentally different from the bulk of papers discussing glioma-induced functional network changes. We report that the evaluation of glioma-induced alterations in the functional connectome strongly depends on analytical approaches including atlas registration, choice of parcellation scheme, and graph-theoretical measures.

SUBMITTER: Park KY

PROVIDER: S-EPMC10926951 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Publications

Optimal approaches to analyzing functional MRI data in glioma patients.

Park Ki Yun KY Shimony Joshua S JS Chakrabarty Satrajit S Tanenbaum Aaron B AB Hacker Carl D CD Donovan Kara M KM Luckett Patrick H PH Milchenko Mikhail M Sotiras Aristeidis A Marcus Daniel S DS Leuthardt Eric C EC Snyder Abraham Z AZ

Journal of neuroscience methods 20231118

<h4>Background</h4>Resting-state fMRI is increasingly used to study the effects of gliomas on the functional organization of the brain. A variety of preprocessing techniques and functional connectivity analyses are represented in the literature. However, there so far has been no systematic comparison of how alternative methods impact observed results.<h4>New method</h4>We first surveyed current literature and identified alternative analytical approaches commonly used in the field. Following, we ...[more]

PMID: 37981126

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Dataset Information

Optimal approaches to analyzing functional MRI data in glioma patients.

Background

New method

Results

Comparison with existing methods and conclusions

Publications

Optimal approaches to analyzing functional MRI data in glioma patients.

Similar Datasets

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