A GICA-TVGL Framework to Study Sex Differences in Resting State FMRI Dynamic Connectivity

Overview

Journal J Neurosci Methods

Specialty Neurology

Date 2019 Dec 13

PMID 31830544

Citations 5

Authors

Biao Cai

Gemeng Zhang

AiYing Zhang

Wenxing Hu

Julia M Stephen

Tony W Wilson

Vince D Calhoun

Yu-Ping Wang

Affiliations

Soon will be listed here.

Abstract

Background: Functional magnetic resonance imaging (fMRI) has been implemented widely to study brain connectivity. In particular, time-varying connectivity analysis has emerged as an important measure to uncover essential knowledge within the network. On the other hand, independent component analysis (ICA) has served as a powerful tool to preprocess fMRI data before performing network analysis. Together, they may lead to novel findings.

Methods: We propose a new framework (GICA-TVGL) that combines group ICA (GICA) with time-varying graphical LASSO (TVGL) to improve the power of analyzing functional connectivity (FNC) changes, which is then applied for neuro-developmental study. To investigate the performance of our proposed approach, we apply it to capture dynamic FNC using both the Philadelphia Neurodevelopmental Cohort (PNC) and the Pediatric Imaging, Neurocognition, and Genetics (PING) datasets.

Results: Our results indicate that females and males in young adult group possess substantial difference related to visual network. In addition, some other consistent conclusions have been reached by using these two datasets. Furthermore, the GICA-TVGL model indicated that females had a higher probability to stay in a stable state. Males had a higher tendency to remain in a globally disconnected mode.

Comparison With Existing Method: The performance of sliding window approach is largely affected by the window size selection. In addition, it also assumes temporal locality hypothesis.

Conclusion: Our proposed framework provides a feasible method to investigate brain dynamics and has the potential to become a widely used tool in neuroimaging studies.

Citing Articles

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Temporal Stability of the Dynamic Resting-State Functional Brain Network: Current Measures, Clinical Research Progress, and Future Perspectives.

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Subsystem mechanisms of default mode network underlying white matter hyperintensity-related cognitive impairment.

Yang D, Li J, Ke Z, Qin R, Mao C, Huang L Hum Brain Mapp. 2023; 44(6):2365-2379.

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Inter-Network Brain Functional Connectivity in Adolescents Assigned Female at Birth Who Experience Gender Dysphoria.

Skorska M, Lobaugh N, Lombardo M, van Bruggen N, Chavez S, Thurston L Front Endocrinol (Lausanne). 2022; 13:903058.

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Sex differences in functional network dynamics observed using coactivation pattern analysis.

Murray L, Maurer J, Peechatka A, Frederick B, Kaiser R, Janes A Cogn Neurosci. 2021; 12(3-4):120-130.

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