码分光子计数型fNIRS系统及其在近视视觉功能测量中的应用
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作者单位:

1天津大学 精密仪器与光电子工程学院,天津 300072;2天津大学 人工智能学院,天津 300072

作者简介:

E-mail: liudongyuan@tju.ed

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中图分类号:

O434

基金项目:

国家自然科学基金(62575205, 62205239)


A code-division photon-counting fNIRS system and its application to visual function measurement in myopia
Author:
Affiliation:

1College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;2School of Artificial Intelligence, Tianjin University, Tianjin 300072, China

Fund Project:

Supported by the National Natural Science Foundation of China (62575205, 62205239)

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    摘要:

    功能性近红外光谱(functional near-infrared spectroscopy,fNIRS)具有无创、便携和适用于自然场景检测等优势,但在实际测量中仍面临信号微弱、多通道高速同步采集难度大及通道间串扰等问题。为此,本文构建了码分光子计数型fNIRS系统,并设计了基于码分多址的并行测量方法,实现高灵敏、低串扰的多通道高速同步采集。基于该系统,本文结合稳态视觉诱发实验范式,对近视受试者在裸眼与光学矫正状态下的视觉皮层血流动力学响应进行测量,并从静息态功能连接、任务相关脑激活及任务诱发时空动态特征等方面进行分析。结果表明,该系统能够稳定采集视觉皮层多通道微弱血液动力学信号,并支持不同视觉状态下脑功能响应特征的多维度表征。

    Abstract:

    Functional near-infrared spectroscopy (fNIRS) is noninvasive, portable, and suitable for measurements in natural environments. However, it still faces problems in practical measurements, including weak signals, difficulty in high-speed synchronous multi-channel acquisition, and inter-channel crosstalk. Therefore, this paper constructed a code-division photon-counting fNIRS system and designed a parallel measurement method based on code division multiple access. The system achieved high-sensitivity, low-crosstalk, high-speed synchronous multi-channel acquisition. Based on this system, this paper combined a steady-state visual evoked experimental paradigm to measure the hemodynamic responses of the visual cortex in myopic subjects under uncorrected and optically corrected conditions. It analyzed resting-state functional connectivity, task-related brain activation, and task-induced spatiotemporal dynamic features. The results show that the system can stably acquire multi-channel weak hemodynamic signals from the visual cortex and supports multidimensional characterization of brain functional response features under different visual conditions.

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  • 收稿日期:2026-03-30
  • 最后修改日期:2026-05-06
  • 录用日期:2026-05-18
  • 在线发布日期: 2026-05-19
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