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Introducing HiBoP: a Unity-based visualization software for large iEEG datasets.

Maria Del Vecchio¹, Benjamin Bontemps², Florian Lance²

¹Istituto di Neuroscienze, Consiglio Nazionale delle Ricerche, Parma 43125, Italy.

Journal of Neuroscience Methods

|June 1, 2024

Summary

This summary is machine-generated.

HiBoP software visualizes intracranial EEG data for brain function studies. This tool aids in exploring large datasets and understanding complex spatio-temporal brain activity, enhancing anatomical analysis.

Keywords:

Brain navigation Intracranial EEG Unity Virtual reality Visualization

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Area of Science:

Neuroscience
Computational Neuroscience
Medical Imaging

Background:

Intracranial EEG (iEEG) offers high spatio-temporal precision for studying human brain functions.
Advances in data sharing and clinical collaboration have increased the availability of large iEEG datasets.
Visualizing and anatomically displaying complex iEEG data presents significant challenges.

Purpose of the Study:

To introduce HiBoP, a novel multi-modal visualization software for analyzing large-scale iEEG datasets.
To provide a user-friendly tool for dynamic visualization and detailed anatomical analysis of iEEG data across multiple patients and experiments.

Main Methods:

HiBoP is a visualization software developed using Unity/C# game development standards.
Features include dynamic display of iEEG responses, definition of Regions and electrodes Of Interest (ROIs), and switching between group and individual 3D anatomical data.
Utilized for analyzing high-gamma responses (50-150 Hz) in a cohort of 36 patients.

Main Results:

Demonstrated global cortical dynamics following tactile stimulation in 36 patients.
Identified three major response components in the primary somatosensory cortex, premotor cortex, and parietal operculum.
HiBoP facilitated rapid, detailed anatomical analysis across multiple conditions and patients.

Conclusions:

HiBoP offers a user-friendly environment for exploring large iEEG datasets.
The software aids in deciphering subtle structure/function relationships within the brain.
HiBoP provides superior visualization capabilities compared to existing analysis-focused iEEG software.