探索衰老过程中的审美感知:多模态脑机接口研究

L. Clemente, Marianna la Rocca, Giulia Paparella, M. Delussi, Giusy Tancredi, K. Ricci, Giuseppe Procida, Alessandro Introna, Antonio Brunetti, Paolo Taurisano, Vitoantonio Bevilacqua, M. de Tommaso
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引用次数: 0

摘要

在神经科学领域,脑机接口(BCI)用于连接人脑和外部设备,为认知过程(包括审美感知)的神经机制提供洞察力。非侵入性 BCI(如脑电图和 fNIRS)对于研究中枢神经系统活动以及了解有认知缺陷的人如何处理和响应审美刺激至关重要。本研究评估了 20 名参与者,根据 MMSE 分数将他们分为对照组和老化受损(AI)组。使用脑电图和 fNIRS 测量他们对不同愉悦度和动态性的审美刺激的神经生理反应。结果发现,各组之间在 P300 振幅和晚期正电位(LPP)方面存在显著差异,对照组的反应性更强。人工智能受试者对愉悦刺激的反应显示氧合血红蛋白增加,这表明血液动力学补偿。这项研究强调了多模态BCI在确定审美鉴赏和衰老受损的神经基础方面的有效性。尽管存在样本量和审美鉴赏的主观性等局限性,但这项研究为针对审美感知的认知康复奠定了基础,通过综合 BCI 方法改善了对认知障碍的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study
In the field of neuroscience, brain–computer interfaces (BCIs) are used to connect the human brain with external devices, providing insights into the neural mechanisms underlying cognitive processes, including aesthetic perception. Non-invasive BCIs, such as EEG and fNIRS, are critical for studying central nervous system activity and understanding how individuals with cognitive deficits process and respond to aesthetic stimuli. This study assessed twenty participants who were divided into control and impaired aging (AI) groups based on MMSE scores. EEG and fNIRS were used to measure their neurophysiological responses to aesthetic stimuli that varied in pleasantness and dynamism. Significant differences were identified between the groups in P300 amplitude and late positive potential (LPP), with controls showing greater reactivity. AI subjects showed an increase in oxyhemoglobin in response to pleasurable stimuli, suggesting hemodynamic compensation. This study highlights the effectiveness of multimodal BCIs in identifying the neural basis of aesthetic appreciation and impaired aging. Despite its limitations, such as sample size and the subjective nature of aesthetic appreciation, this research lays the groundwork for cognitive rehabilitation tailored to aesthetic perception, improving the comprehension of cognitive disorders through integrated BCI methodologies.
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