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皮层空间反应和解码情感图像向一个新的fNIRS基于情感BCI

Xiaopeng Si, Yumeng Han, Sicheng Li

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

|July 2, 2025

概括

功能近红外谱学 (fNIRS) 通过识别快乐和悲伤情绪的独特大脑模式,使情绪图像大脑计算机接口 (BCI) 成为可能,为临床应用铺平了道路.

科学领域:

神经科学是一个神经科学.
生物医学工程生物医学工程
人与计算机的交互

背景情况:

情感大脑计算机接口 (BCI) 显示出临床应用和情绪调节的潜力.
功能近红外光谱学 (fNIRS) 提供非侵入性大脑活动监测.
了解fNIRS对情感图像的模式对于情感BCI发展至关重要.

研究的目的:

为了研究使用fNIRS的情感图像BCI的可行性.
识别与快乐和悲伤的图像相关的独特的皮质血液动力学反应.
通过使用fNIRS.评估不同情感类别的可辨别性.

主要方法:

设计了一种新的情感语言图像范式,涉及到想象快乐或悲伤的场景.
从使用fNIRS的17名受试者身上分析了与任务相关的血液动力学反应.
使用了统计分析,解码实验和模型可解释性.

主要成果:

快乐的图像激活了前侧平行区域,包括左侧背侧二级运动皮质.
悲伤的图像主要涉及到右侧后侧前额叶皮质.
对情感图像任务的分类明显超过了随机机会,证实了可行性.

结论:

开发的情感图像fNIRS范式表明了非侵入性情感BCI的潜力.
确定了不同情绪的独特神经模式,支持情绪识别.
这项研究有助于推进临床和情绪调节目的BCI.

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