与年龄相关的神经动态被时间域fNIRS解码的视听双任务处理所揭示
Yi Liu1, Junhua Ding2, Jing Lu3
1Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University; Beijing Institute of Otolaryngology; Key Laboratory of Otolaryngology-Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing 100730, China.
Behavioural brain research
|February 22, 2026
概括
在复杂的任务中,使用功能近红外光谱 (fNIRS) 解读与年龄相关的大脑变化是可能的. 时间域fNIRS功能有效地识别了在认知负载下健康大脑衰老的神经特征.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 生物医学工程 生物医学工程
背景情况:
- 健康老龄化涉及大脑结构和功能的显著变化,特别是多感官集成和认知控制的网络.
- 目前尚不清楚与年龄相关的神经变化是否可以从不同认知状态的个体大脑活动模式中可靠地解码.
研究的目的:
- 调查是否可以从时间域功能近红外光谱 (fNIRS) 信号中解码与年龄相关的神经变化.
- 为了比较休息时的解码精度与复杂的视听处理.
主要方法:
- 功能近红外谱学 (fNIRS) 数据从年轻人和老年人中收集.
- 通过支持向量机器 (SVM) 机器学习,提取和分析了氧化血红蛋白 (HbO) 的九个时间域特征.
- 在休息和视听双重任务期间评估了分类准确性.
主要成果:
- 解码精度在休息时较低,但在使用五个fNIRS功能组合的视听双任务 (0.810) 期间显著提高.
- 与年龄相关的神经特征在高认知负载期间被强有力的识别.
- 空间分析揭示了功能不对称性,左侧膜区域参与听觉/多感官处理,右侧前膜区域参与注意力控制.
结论:
- 与年龄相关的神经动态在高认知负载期间更有效地被捕获.
- 时间域的fNIRS特征作为皮质重组的敏感标记.
- 这些发现表明fNIRS可以表明健康的大脑衰老.
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