Neuronal Electrical Ongoing Activity as Cortical Areas Signature: An Insight from MNI Intracerebral Recording Atlas

Area of Science:

• Neuroscience
• Computational Neuroscience
• Brain Network Analysis

Background:

• Neuronal activity dynamics (neurodynamics) reflect brain network structure and function.
• Understanding distinct cortical area neurodynamics is crucial for brain mapping and therapeutic interventions.
• Intracranial stereo-electroencephalography (sEEG) provides high-resolution data for neurodynamic analysis.

Purpose of the Study:

• To investigate and differentiate the neurodynamics of primary motor (M1), somatosensory (S1), and auditory (A1) cortices.
• To analyze spectral features and Higuchi fractal dimension (HFD) across these primary cortical areas.
• To establish a basis for cortical parceling and identify patterns for neuromodulation.

Main Methods:

• Utilized intracranial stereo-electroencephalographic (sEEG) recordings from the Montreal Neurological Institute (MNI) atlas.
• Measured power spectral densities (PSD) and Higuchi fractal dimension (HFD) in M1, S1, and A1.
• Compared neurodynamic properties across different subject groups (M1 vs. S1, M1 vs. A1, S1 vs. A1).

Main Results:

• Distinct spectral signatures were identified: M1 (above beta band), S1 (alpha band), and A1 (delta band).
• Higuchi fractal dimension (HFD) showed a clear hierarchy: M1 > S1 > A1.
• Observed neurodynamic distinctions support the differentiation of primary cortical areas based on their intrinsic properties.

Conclusions:

• The distinct neurodynamics of M1, S1, and A1 provide a basis for cortical parceling and understanding local cytoarchitecture and connectivity.
• Identified neurodynamic patterns can inform the development of targeted neuromodulation strategies.
• This research has potential clinical applications in enhancing neuromodulation efficacy for treating imbalances in neuronal activity.