Multiplexity of human brain oscillations as a personal brain signature

Stavros I Dimitriadis*, B Routley, David E J Linden, Krish D Singh

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Human individuality is likely underpinned by the constitution of functional brain networks that ensure consistency of each person's cognitive and behavioral profile. These functional networks should, in principle, be detectable by noninvasive neurophysiology. We use a method that enables the detection of dominant frequencies of the interaction between every pair of brain areas at every temporal segment of the recording period, the dominant coupling modes (DoCM). We apply this method to brain oscillations, measured with magnetoencephalography (MEG) at rest in two independent datasets, and show that the spatiotemporal evolution of DoCMs constitutes an individualized brain fingerprint. Based on this successful fingerprinting we suggest that DoCMs are important targets for the investigation of neural correlates of individual psychological parameters and can provide mechanistic insight into the underlying neurophysiological processes, as well as their disturbance in brain diseases.
Original languageEnglish
Pages (from-to)5624-5640
Number of pages17
JournalHuman Brain Mapping
Volume44
Issue number17
Early online date5 Sept 2023
DOIs
Publication statusPublished - 1 Dec 2023

Keywords

  • MEG
  • Multiplexity
  • chronnectomics
  • dominant coupling modes
  • individual fingerprint
  • resting-state
  • signal processing
  • time-varying network analysis

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