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Dynamic analysis of frequency specificity in multilayer brain networks.

Ming Ke1, Peihui Cao1, Xiaoliang Chai2

  • 1School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China.

Brain Research
|December 24, 2024
PubMed
Summary

This study reveals how different brain signal frequencies impact brain network dynamics. Lower frequencies (scales 3 and 4) show distinct dynamic properties, while multiple frequencies enhance network integration and show age/gender correlations.

Keywords:
Age and genderFrequency specificityMultilayer frequency domain networkMultilayer temporal networkNetwork dynamic properties

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Area of Science:

  • Neuroscience
  • Complex Systems
  • Network Science

Background:

  • Brain function relies on complex neural signal interactions across various frequencies.
  • Traditional brain network analysis often overlooks frequency-specific information, limiting understanding of brain dynamics.
  • Understanding frequency-specific brain network properties is crucial for deciphering complex cognitive processes.

Purpose of the Study:

  • To investigate the distinct characteristics of brain networks across different frequency bands.
  • To analyze both dynamic and static properties of multilayer brain networks at various frequency scales.
  • To explore the relationship between age, gender, and frequency-specific brain network organization.

Main Methods:

  • Utilized maximum overlap discrete wavelet transform (MODWT) to decompose time-series data into distinct frequency bands (scales 1-4).
  • Constructed multilayer brain networks based on these frequency bands.
  • Applied dynamic metrics (flexibility, promiscuity, integration, recruitment) and static metrics (multilayer clustering coefficient, entropy of multiplexing degree) to analyze network properties.

Main Results:

  • Dynamic analysis revealed significant performance in scale 3 (0.03-0.06 Hz) and scale 4 (0.015-0.03 Hz) frequency bands.
  • Static analysis indicated enhanced global integration and local capabilities in scale 2 (0.06-0.125 Hz), scale 3, and scale 4 networks.
  • Significant gender differences were observed in scale 1 (0.125-0.25 Hz) brain function organization, and age correlated with global efficiency in the scale 2 band.

Conclusions:

  • Frequency specificity plays a critical role in brain information processing and functional organization.
  • Multilayer network analysis integrating time and frequency domains provides novel insights into brain mechanisms.
  • Findings offer new perspectives on understanding cognitive differences related to gender and age.