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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Inter-brain functional connectivity: Are we measuring the right thing?

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  • 1Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.

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Summary

Hyperscanning research using simultaneous brain recordings shows phase-based connectivity metrics are unreliable when individuals have different brain frequencies. Amplitude envelope correlation offers a more stable alternative for inter-brain synchronization studies.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Hyperscanning, recording brain activity from multiple individuals simultaneously, is increasingly used in social neuroscience.
  • Inter-brain synchronization studies commonly employ phase-based metrics on oscillatory signals, assuming consistent peak frequencies.
  • However, individual and regional differences in peak frequencies are common, posing a challenge for current methods.

Purpose of the Study:

  • To systematically assess the impact of inter-individual frequency differences on common connectivity measures in hyperscanning.
  • To evaluate the robustness of phase-based metrics versus amplitude envelope correlation under varying frequency conditions.

Main Methods:

  • Utilized simulated Magnetoencephalography (MEG) and Electroencephalography (EEG) signals.
  • Systematically varied inter-individual frequency differences in simulated data.
  • Compared the performance of phase-based connectivity metrics against amplitude envelope correlation.

Main Results:

  • Phase-based connectivity metrics demonstrated high sensitivity to inter-individual frequency differences.
  • Amplitude envelope correlation exhibited greater stability despite variations in peak frequencies between individuals.
  • Significant discrepancies were observed in connectivity estimations due to frequency mismatches.

Conclusions:

  • Current phase-based metrics may yield inaccurate results in hyperscanning due to natural frequency variations.
  • Amplitude envelope correlation presents a more reliable approach for assessing inter-brain connectivity in hyperscanning.
  • Development of frequency-agnostic or adaptive connectivity metrics is crucial for advancing hyperscanning research.