Author:

Keywords:

Frequency-specificity, EEG, Functional connectivity, Resting state, Small-worldness, Science & Technology, Technology, Engineering, Biomedical, Engineering, frequency specificity, functional connectivity, resting state, small-worldness, CORTICAL CORRELATION STRUCTURE, FUNCTIONAL CONNECTIVITY, BRAIN NETWORKS, RECOVERY, INTEGRATION, DYNAMICS, STROKE, CORE, 4003 Biomedical engineering

Abstract:

Goal: Functional connectivity (FC) is an important indicator of the brain's state in different conditions, such as rest/task or health/pathology. Here we used high-density electroencephalography coupled to source reconstruction to assess frequency-specific changes of FC during resting state. Specifically, we computed the Small-World Propensity (SWP) index to characterize network small-world architecture across frequencies. Methods: We collected resting state data from healthy participants and built connectivity matrices maintaining the heterogeneity of connection strengths. For a subsample of participants, we also investigated whether the SWP captured FC changes after the execution of a working memory (WM) task. Results: We found that SWP demonstrates a selective increase in the alpha and low beta bands. Moreover, SWP was modulated by a cognitive task and showed increased values in the bands entrained by the WM task. Conclusions: SWP is a valid metric to characterize the frequency-specific behavior of resting state networks.