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  1. Home
  3. Neural Dynamics Associated With Biological Variation In Normal Human Brain Regions.
  1. Home
  3. Neural Dynamics Associated With Biological Variation In Normal Human Brain Regions.

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Neural Dynamics Associated with Biological Variation in Normal Human Brain Regions.

Natalí Guisande1, Osvaldo A Rosso1,2, Fernando Montani1

  • 1Instituto de Física de La Plata (IFLP), CONICET-UNLP, La Plata B1900, Buenos Aires, Argentina.

Entropy (Basel, Switzerland)
|October 25, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Biological sex influences brain signal dynamics. This study found sex-based differences in brain region activity using intracranial electroencephalography (iEEG), impacting neurological disorder research.

Keywords:
MNI open iEEG atlasbiological sex differencesbrain dynamicshuman iEEGinformation theorynormal brain regionspower spectral density (PSD)shannon entropystatistical complexity

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Neuronal information flow exhibits complex nonlinear dynamics, crucial for signal encoding and decoding.
  • Understanding these dynamics is vital for brain function and neurological disorder research.

Purpose of the Study:

  • To investigate how biological sex influences brain signal dynamics in awake humans.
  • To analyze intracranial electroencephalography (iEEG) data from normal brain regions.

Main Methods:

  • Analysis of awake human intracranial electroencephalography (iEEG) data.
  • Application of permutation entropy and statistical complexity in the time domain.
  • Power spectrum calculations in the frequency domain.
  • Bandt and Pompe method for time series causality assessment.

Main Results:

  • Identified significant sex-based differences in brain dynamics.
  • Observed differences in specific brain regions including the left supramarginal gyrus, posterior cingulate, supplementary motor cortex, middle temporal gyrus, and right superior temporal gyrus.
  • Results were consistent across power spectrum, entropy, and complexity analyses.

Conclusions:

  • Biological sex is a critical variable in brain dynamics research.
  • Considering sex differences can enhance the diagnosis and treatment of neurological and psychiatric disorders.
  • iEEG's high spatial resolution facilitates detailed regional brain analysis.