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The study covered in this summary was published on Biorxiv.org as a preprint and has not yet been peer reviewed.

Key Takeaways

  • Computational models utilizing group average data are used to access functional connectivity (FC) patterns.

  • This study successfully demonstrated correlation of individual simulations of FC with individualized structural data using amplified- and phased-based metrics.

Why This Matters

  • This study highlights the potential value of using individual simulations of FC to better understand the mechanisms underlying individual functional network trajectories in neurologic disease.

  • Individualized prediction of disease trajectories could potentially enhance patient care and guide treatment options.

Study Design

  • The study included 40 healthy participants (37.5% men aged 50.7 ± 6.1 years) from the Amsterdam multiple sclerosis cohort.

  • Diffusion MRI (dMRI) and magnetoencephalography recordings were used to obtain individual structural connectivity (SC) and simulated FC, respectively.

    • FC was estimated using phase-based and amplitude-based metrics for individual predictions.

  • Individual FC was compared to group averaged FC for each participant and connectivity metric.

  • Additionally, the SC of a different participant was tested to predict another’s FC pattern.

    • Key Results

    • Maximum correlations between simulated and empirical FC for the amplitude envelope correlation (AEC) were statistically significant for all participants (P < .01).

    • Correlations between simulated and empirical FC for phase-based metrics were statistically significant in all but five participants.

    • Correlations between simulated and empirical FC using the amplitude-based AEC performed better than phase-based metrics.

    Limitations

    • The article did not specify limitations to the study.

    Disclosures

    • The study did not receive any specific grant from funding agencies.

    • The authors have disclosed no relevant financial relationships.

    This is a summary of a preprint research study, “Modeling of Individual Neurophysiological Brain Connectivity,” written by SD Kulik from Amsterdam UMC and colleagues on Biorxiv.org provided to you by Medscape. This study has not yet been peer reviewed. The full text of the study can be found on Biorxiv.org.

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