A Four-dimensional Virtual Brain Application for Visualization and Explanation of Abnormal Neural Activity and Medication Efficacy

Hiroyasu Kobayashi; Mai Hagiwara; Toki Saito; Daisuke Ichikawa; Naoyuki Shono; Taichi Kin; Naoto Kunii; Nobuhito Saito; Hiroshi Oyama

doi:10.7876/jmvr.15.1

Applied research papers

A Four-dimensional Virtual Brain Application for Visualization and Explanation of Abnormal Neural Activity and Medication Efficacy

Hiroyasu Kobayashi, Mai Hagiwara, Toki Saito, Daisuke Ichikawa, Naoyuki Shono, Taichi Kin, Naoto Kunii, Nobuhito Saito, Hiroshi Oyama

Author information

Hiroyasu Kobayashi
Department of Clinical Information Engineering, Graduate School of Medicine, the University of Tokyo
Mai Hagiwara
Department of Clinical Information Engineering, Graduate School of Medicine, the University of Tokyo
Toki Saito
Department of Clinical Information Engineering, Graduate School of Medicine, the University of Tokyo
Daisuke Ichikawa
Department of Clinical Information Engineering, Graduate School of Medicine, the University of Tokyo
Naoyuki Shono
Department of Neurosurgery, the University of Tokyo Hospital
Taichi Kin
Department of Neurosurgery, the University of Tokyo Hospital
Naoto Kunii
Department of Neurosurgery, the University of Tokyo Hospital
Nobuhito Saito
Department of Neurosurgery, the University of Tokyo Hospital
Hiroshi Oyama
Department of Clinical Information Engineering, Graduate School of Medicine, the University of Tokyo

Keywords: Epileptic seizures, medication adherence, virtual reality

JOURNAL FREE ACCESS

2017 Volume 15 Issue 1 Pages 1-7

DOI https://doi.org/10.7876/jmvr.15.1

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Abstract

Purpose: The aim of this study was to develop and evaluate application software for physicians to explain medication efficacy to patients with epilepsy. Methods: We developed application software for visualization of the attenuation of epileptic seizures on a three-dimensional (3-D) brain-surface shape model using magnitude texture mapping of abnormal neural activity. The magnitude of the abnormal neural activity was mathematically simulated by the Kim–Robinson model. The efficacy of the developed application software was confirmed by neurosurgeons (n = 7) via questionnaire. Results: The developed software was useful in explaining brain anatomy and function, epileptic seizure and medication adherence. Conclusions: The virtual reality application software developed in this study can be used to support patient awareness of the pathophysiology of epileptic seizures.

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