Department of Neurology, Washington University in Saint Louis School of Medicine, 660 South Euclid Avenue, Campus Box 8111, St. Louis, MO, 63110, USA.
Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Sci Rep. 2022 Apr 20;12(1):6486. doi: 10.1038/s41598-022-09919-x.
Our objective was to identify functional brain changes that associate with driving behaviors in older adults. Within a cohort of 64 cognitively normal adults (age 60+), we compared naturalistic driving behavior with resting state functional connectivity using machine learning. Functional networks associated with the ability to interpret and respond to external sensory stimuli and the ability to multi-task were associated with measures of route selection. Maintenance of these networks may be important for continued preservation of driving abilities.
我们的目标是确定与老年人驾驶行为相关的功能性大脑变化。在一个由 64 名认知正常的成年人（年龄在 60 岁以上）组成的队列中，我们使用机器学习比较了自然驾驶行为与静息状态功能连接。与解释和响应外部感官刺激的能力以及多任务处理能力相关的功能网络与路线选择的测量值相关。维持这些网络可能对继续保持驾驶能力很重要。
