ArticleScientific reports2024
Reliability of brain metrics derived from a Time-Domain Functional Near-Infrared Spectroscopy System.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Optical performance of minimally invasive brain implants: a simulation and phantom study.Biomedical optics express · 2026Article
- Exploration of brain function changes in the visual cortex of astigmatic subjects based on fNIRS.Scientific reports · 2026Article
- Neurophysiological signatures of latent brain vulnerability in perioperative neurocognitive disorders: integrating EEG, cerebral oximetry, and processed EEG.Frontiers in medicine · 2026Review
- Cerebral oxygenation responses to obstructive sleep apnea in cognitively normal older adults: a study using simultaneous polysomnography and functional near-infrared spectroscopy.Scientific reports · 2025Article
- A compact time-domain diffuse optical tomography system for cortical neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the growing interest in establishing brain-based biomarkers for precision medicine, there is a need for noninvasive, scalable neuroimaging devices that yield valid and reliable metrics. Kernel's second-generation Flow2 Time-Domain Functional Near-Infrared Spectroscopy (TD-fNIRS) system meets the requirements of noninvasive and scalable neuroimaging, and uses a validated modality to measure brain function. In this work, we investigate the test-retest reliability (TRR) of a set of metrics derived from the Flow2 recordings. We adopted a repeated-measures design with 49 healthy participants, and quantified TRR over multiple time points and different headsets-in different experimental conditions including a resting state, a sensory, and a cognitive task. Results demonstrated high reliability in resting state features including hemoglobin concentrations, head tissue light attenuation, amplitude of low frequency fluctuations, and functional connectivity. Additionally, passive auditory and Go/No-Go inhibitory control tasks each exhibited similar activation patterns across days. Notably, areas with the highest reliability were in auditory regions during the auditory task, and right prefrontal regions during the Go/No-Go task, consistent with prior literature. This study underscores the reliability of Flow2-derived metrics, supporting its potential to actualize the vision of using brain-based biomarkers for diagnosis, treatment selection and treatment monitoring of neuropsychiatric and neurocognitive disorders.
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