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. 2025 Jun 26.
doi: 10.1007/s11682-025-01036-3. Online ahead of print.

Sex effects on dynamic structure-function coupling of intrinsic brain network

Xi Zhang  1 , Dandan Li  1 , Yuting Yuan  1 , Xuebing Han  1 , Lan Yang  1 , Jiayu Lu  1 , Ting Li  2 , Zhifeng Li  1 , Bin Wang  3
Affiliations

Sex effects on dynamic structure-function coupling of intrinsic brain network

Xi Zhang et al. Brain Imaging Behav. .

Abstract

Sex differences in static structure-function coupling between structural connectivity (SC) and functional connectivity (FC) have been documented. However, the human brain is highly dynamic, and static coupling fails to capture the time-varying properties of neural activity. It remains unclear how sex influences dynamic SC-FC coupling over time. Moreover, intrinsic functional networks represent a core feature of brain organization. Here, we quantified sex differences in dynamic FC strength and SC-FC coupling at the intrinsic functional network level using a sliding window approach. Using two window sizes (50 TRs and 30 TRs), we constructed dynamic FC networks and identified hyper-connected and hypo-connected states via k-means clustering. The results showed females performed higher whole-brain SC-FC coupling in hyper-connected state. Specifically, females exhibited higher FC strength and coupling in systems related default mode network in this state. In addition, females exhibited higher FC strength and coupling in systems related limbic/paralimbic and subcortical network in hypo-connected state. Males exhibited higher FC strength and coupling in systems related somatosensory/motor and auditory network in hyper-connected state. Finally, sex-specific patterns in correlations were shown between SC-FC coupling and cognitive performance in distinct states. This study provides new insights into sex-related effects on the neurodevelopmental basis of cognitive function through the perspective of dynamic SC-FC coupling.

Keywords: Dynamic FC; Dynamic SC-FC coupling; Intrinsic functional network; Sex differences.

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Conflict of interest statement

Declarations. Ethics approval: The neuroimaging dataset used in this study was approved by the Institutional Review Boards at UCLA and the Los Angeles County Department of Mental Health. Consent to participate: After the description of measures about the study, written informed consent was provided by all participants. Consent for publication: All the authors agreed to publish this article. Competing interests: The authors declare no competing interests.

References

    1. Abrol, A., Damaraju, E., Miller, R. L., Stephen, J. M., Claus, E. D., Mayer, A. R., & Calhoun, V. D. (2017). Replicability of time-varying connectivity patterns in large resting state fMRI samples. NeuroImage, 163, 160–176. https://doi.org/10.1016/j.neuroimage.2017.09.020 - DOI - PubMed
    1. Aggarwal, C. C., Hinneburg, A., spsampsps Keim, D. A. (2001). On the Surprising Behavior of Distance Metrics in High Dimensional Space. In J. Van den Bussche spsampsps V. Vianu (Eds.), Database Theory—ICDT 2001 (pp. 420–434). Springer. https://doi.org/10.1007/3-540-44503-X_27
    1. Albert, N. B., Robertson, E. M., & Miall, R. C. (2009). The Resting Human Brain and Motor Learning. Current Biology, 19(12), 1023–1027. https://doi.org/10.1016/j.cub.2009.04.028 - DOI - PubMed - PMC
    1. Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014). Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex (New York, N.Y.: 1991), 24(3), 3. https://doi.org/10.1093/cercor/bhs352
    1. Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W., Segall, J. M., Silva, R. F., Havlicek, M., Rachakonda, S., Fries, J., Kalyanam, R., Michael, A. M., Caprihan, A., Turner, J. A., Eichele, T., Adelsheim, S., Bryan, A. D., Bustillo, J., Clark, V. P., Feldstein Ewing, S. W., … Calhoun, V. D. (2011). A Baseline for the Multivariate Comparison of Resting-State Networks. Frontiers in Systems Neuroscience, 5. https://doi.org/10.3389/fnsys.2011.00002

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