The next generation of functional neuroimaging to elucidate neural underpinnings of driving behaviour

下一代功能神经影像学可阐明驾驶行为的神经基础

• 批准号: 2881145
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2881145
• 关键词: next; generation; functional; neuroimaging; elucidate

Efficient visual search is an essential requirement for interacting safely with our physical environment and losses in search performance have dramatic consequences for a broad range of visually-guided behaviours, such as driving. This project will study the relationship between behaviour, eye movements and brain activity in a driving task. We will use a unique system that combines a magnetoencephalography (MEG)-compatible driving simulator, high-resolution eye tracking and 'wearable' MEG, which enables free head movement during visual search tasks. A key area of interest is related to the fact that visual search can be improved via training. Within the PhD project there is the scope to interact with industrial partners who have developed platforms to deliver training to improve visual search performance. If a neural signature of search performance can be established, then it should be possible to develop an objective system for monitoring changes in visual search over time and across different groups of subjects.

高效的视觉搜索是与我们的物理环境安全交互的基本要求，搜索性能的损失会对广泛的视觉引导行为（例如驾驶）产生巨大的后果。该项目将研究驾驶任务中行为、眼球运动和大脑活动之间的关系。我们将使用一种独特的系统，该系统结合了脑磁图 (MEG) 兼容的驾驶模拟器、高分辨率眼动追踪和“可穿戴”MEG，可在视觉搜索任务期间实现头部自由移动。一个关键的兴趣领域与视觉搜索可以通过训练得到改进这一事实有关。在博士项目中，可以与开发平台来提供培训以提高视觉搜索性能的工业合作伙伴进行互动。如果可以建立搜索性能的神经特征，那么应该可以开发一个客观的系统来监控视觉搜索随时间和不同受试者组的变化。