Rahimpour Jounghani Ali, Kumar Anupam, Moreno Carbonell Laura, Aguilar Ester Patrize Lopez, Picardi Tulla Bee, Crawford Seth, Bowden Audrey K, Hosseini S M Hadi
Department of Psychiatry and Behavioral Sciences, School of Medicine, Computational Brain Research and Intervention (C-BRAIN) Laboratory, Stanford University, Palo Alto, CA, USA.
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
NPJ Digit Med. 2025 May 13;8(1):271. doi: 10.1038/s41746-025-01690-3.
Precision mental health aims to improve care by tailoring interventions based on individual neurobiological features. Functional near-infrared spectroscopy (fNIRS) is a cost-effective and portable alternative to traditional neuroimaging, making it a promising tool for this purpose. This study evaluates a self-administered, wearable fNIRS platform designed for precision mental health applications, focusing on its reliability and specificity in capturing individualized functional connectivity patterns. The platform incorporates a wireless, portable multichannel fNIRS device, augmented reality guidance for reproducible device placement, and a cloud-based system for remote data access. In this proof-of-concept study, eight adults completed ten dense-sampled sessions involving cognitive tasks and resting-state measurements. Results demonstrated high test-retest reliability and within-participant consistency in functional connectivity and activation patterns. These findings support the platform's feasibility for individualized functional mapping. Future research with larger and more diverse cohorts, including clinical populations, is necessary to explore its potential for disorder-specific applications.
精准心理健康旨在通过基于个体神经生物学特征定制干预措施来改善护理。功能近红外光谱（fNIRS）是一种经济高效且便携的传统神经成像替代方法，使其成为实现这一目标的有前景的工具。本研究评估了一个为精准心理健康应用而设计的自我管理、可穿戴fNIRS平台，重点关注其在捕捉个性化功能连接模式方面的可靠性和特异性。该平台集成了无线、便携式多通道fNIRS设备、用于可重复设备放置的增强现实引导以及用于远程数据访问的基于云的系统。在这项概念验证研究中，八名成年人完成了十次密集采样的实验，包括认知任务和静息状态测量。结果表明，功能连接和激活模式具有高重测可靠性和个体内一致性。这些发现支持了该平台进行个性化功能映射的可行性。未来需要对包括临床人群在内的更大、更多样化的队列进行研究，以探索其在特定疾病应用中的潜力。
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