Neural Dynamics Associated with Biological Variation in Normal Human Brain Regions

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.