Causality of brain region activation during driver takeover in conditional autonomous driving: a study based on fMRI experiments

Understanding the neural decision-making mechanisms of drivers during takeover in conditional autonomous driving is crucial for improving driver safety and performance. This study investigates how visibility and urgency affect the activation and interactions of key brain regions, including the middle temporal gyrus (MTG), fusiform gyrus (FG), middle occipital gyrus (MOG), precentral gyrus (PCG), and precuneus (PCu), which are involved in distance perception, visual recognition, color processing, motor planning, and memory retrieval. Functional magnetic resonance imaging (fMRI) and Granger causality analysis were used to examine the brain activation patterns and interregional interactions of these areas during four driving scenarios, involving good or poor visibility and emergency or non-emergency conditions in a conditional autonomous driving context. Under complex driving conditions (poor visibility or emergency), interactions among regions involved in visual processing and spatial cognition were significantly enhanced, reflecting the need for rapid integration of visual information. Both immediate and delayed effects were identified, with immediate responses prioritizing rapid perception and motor actions, while delayed effects supported sustained visual and spatial processing as conditions stabilized. These findings provide insights into the neural mechanisms driving behavior under varying driving conditions, aiding the optimization of driver assistance systems (ADAS), enhancing semi-autonomous driving safety and performance, and informing the development of personalized driver support technologies.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28462573
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Causality of brain region activation during driver takeover in conditional autonomous driving: a study based on fMRI experiments

Figshare
Human-Automation Interaction and Safety
article

Causality of brain region activation during driver takeover in conditional autonomous driving: a study based on fMRI experiments

article en

Abstract

Understanding the neural decision-making mechanisms of drivers during takeover in conditional autonomous driving is crucial for improving driver safety and performance. This study investigates how visibility and urgency affect the activation and interactions of key brain regions, including the middle temporal gyrus (MTG), fusiform gyrus (FG), middle occipital gyrus (MOG), precentral gyrus (PCG), and precuneus (PCu), which are involved in distance perception, visual recognition, color processing, motor planning, and memory retrieval. Functional magnetic resonance imaging (fMRI) and Granger causality analysis were used to examine the brain activation patterns and interregional interactions of these areas during four driving scenarios, involving good or poor visibility and emergency or non-emergency conditions in a conditional autonomous driving context. Under complex driving conditions (poor visibility or emergency), interactions among regions involved in visual processing and spatial cognition were significantly enhanced, reflecting the need for rapid integration of visual information. Both immediate and delayed effects were identified, with immediate responses prioritizing rapid perception and motor actions, while delayed effects supported sustained visual and spatial processing as conditions stabilized. These findings provide insights into the neural mechanisms driving behavior under varying driving conditions, aiding the optimization of driver assistance systems (ADAS), enhancing semi-autonomous driving safety and performance, and informing the development of personalized driver support technologies.

Figshare
Openalex Percentile: Top 52%
Human-Automation Interaction and Safety
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Causality of brain region activation during driver takeover in conditional autonomous driving: a study based on fMRI experiments · Figshare (2025) | TGRS Research Map | TGRS