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fMRI Validation of fNIRS Measurements During a Naturalistic Task
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sCMOS-based fNIRS system: validation via optical performance and cortical response.

Jie Zhou1, Bingzi Yan1, Yang Pu1

  • 1Ultrasound department of West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, China.

Translational Psychiatry
|April 9, 2026
PubMed
Summary
This summary is machine-generated.

A new scientific complementary metal-oxide-semiconductor (sCMOS) sensor offers a smaller, cheaper alternative for functional near-infrared spectroscopy (fNIRS) neuroimaging. This sCMOS-based fNIRS system demonstrates comparable detection performance to conventional technologies.

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Area of Science:

  • Neuroimaging
  • Biophotonics
  • Optical Engineering

Background:

  • Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technique with high temporal resolution and ecological validity.
  • Conventional fNIRS systems face challenges with spatial resolution, bulkiness, and cost, especially when increasing detector numbers.
  • Existing fNIRS technology relies on multiple diode-lock-in amplifiers, contributing to device size and expense.

Purpose of the Study:

  • To evaluate a scientific complementary metal-oxide-semiconductor (sCMOS) sensor as a novel detector for fNIRS.
  • To determine if sCMOS sensors can effectively replace traditional fNIRS detectors while maintaining accuracy.
  • To assess the potential of sCMOS-based fNIRS for translational applications.

Main Methods:

  • Developed an fNIRS system utilizing a 2D sCMOS sensor array.
  • Conducted in vitro validation using optical phantoms (scattering-absorption and blood-doped tissue-simulating).
  • Performed in vivo validation by measuring cortical responses.

Main Results:

  • The sCMOS sensor effectively replaces traditional fNIRS detector configurations.
  • In vitro and in vivo tests confirmed comparable detection performance to conventional fNIRS.
  • The developed system shows significant reductions in size and cost.

Conclusions:

  • The sCMOS sensor is a viable and cost-effective alternative for fNIRS detectors.
  • sCMOS-based fNIRS systems maintain accuracy comparable to traditional methods.
  • This technology holds strong potential for broader translational use in neuroimaging.