ArticleBiomedical optics express2023
Test-retest reliability of fNIRS in resting-state cortical activity and brain network assessment in stroke patients.
Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- A systematic review of functional near-infrared spectroscopy-based task paradigms in stroke rehabilitation.Frontiers in human neuroscience · 2025Pooled it
- Evaluating the reliability of functional near-infrared spectroscopy data in the context of a reasoning paradigm.Developmental cognitive neuroscience · 2026Article
- Nanoformulated fingolimod attenuates NLRP3 inflammasome activation and promotes functional recovery in a rat model of spinal cord injury.Spinal cord · 2026Article
- Neuromodulatory effects of voluntary-motor-effort-driven wrist-hand robot in sensorimotor dynamics after stroke.Journal of neuroengineering and rehabilitation · 2026Article
- Functional near-infrared spectroscopy (fNIRS) in medical research: applications, opportunities, and challenges.Chinese medicine · 2026Review
- A biophysical model linking cortical scalar potentials and polarization waves to slow traveling activity in vision.Scientific reports · 2026Article
- fNIRS evidence for enhanced brain activity during task-based Arabic learning in virtual reality.Neuroimage. Reports · 2026Article
- MGFNet: A Multi-Granularity Fusion Network with Coupling-Guided Sparse Routing for Hybrid EEG-fNIRS Decoding.Sensors (Basel, Switzerland) · 2026Article
- A Retrospective Study on Correlations Between EEG Signals (N20, Spectral Entropy, and Alpha Variability) and Prognosis of Traumatic Brain Injury.Biomedicines · 2026Article
- Recruitment of the central nervous system in different hand tasks in patients with hand dysfunction after stroke based on functional near-infrared spectroscopy: an exploratory study.Journal of rehabilitation medicine · 2026Observational
- Differences in gait biomechanics during level walking between chronic stroke patients with and without depression.Scientific reports · 2026Article
- Research on aging-friendly design risk assessment model based on non-parametric estimation.Scientific reports · 2026Article
- fNIRS-Based characterization of adolescent depression using dynamic functional connectivity biomarkers in a verbal fluency task.BMC psychiatry · 2026Article
- DL-QC-fNIRS: a deep learning tool for automated quality control in functional near-infrared spectroscopy signals.Neurophotonics · 2026Article
- Design and optimization of intranasal aripiprazole-loaded nanostructured lipid carriers for enhanced brain targeting in schizophrenia: in vitro and ex vivo evaluation.Scientific reports · 2025Article
- Relationships between cognitive appraisals of threat and challenge, psychophysiological responses, and clinical performance during high-stress simulated osces.BMC medical education · 2025Article
- Article
- Study of the brain function characteristics in children with cerebral palsy during walking using functional near-infrared spectroscopy.Neurophotonics · 2025Article
- CausalX-Net: a causality-guided explainable segmentation network for brain tumors.Frontiers in medicine · 2025Article
- Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resting-state functional near infrared spectroscopy (fNIRS) scanning has attracted considerable attention in stroke rehabilitation research in recent years. The aim of this study was to quantify the reliability of fNIRS in cortical activity intensity and brain network metrics among resting-state stroke patients, and to comprehensively evaluate the effects of frequency selection, scanning duration, analysis and preprocessing strategies on test-retest reliability. Nineteen patients with stroke underwent two resting fNIRS scanning sessions with an interval of 24 hours. The haemoglobin signals were preprocessed by principal component analysis, common average reference and haemodynamic modality separation (HMS) algorithm respectively. The cortical activity, functional connectivity level, local network metrics (degree, betweenness and local efficiency) and global network metrics were calculated at 25 frequency scales × 16 time windows. The test-retest reliability of each fNIRS metric was quantified by the intraclass correlation coefficient. The results show that (1) the high-frequency band has higher ICC values than the low-frequency band, and the fNIRS metric is more reliable than at the individual channel level when averaged within the brain region channel, (2) the ICC values of the low-frequency band above the 4-minute scan time are generally higher than 0.5, the local efficiency and global network metrics reach high and excellent reliability levels after 4 min (0.5 < ICC < 0.9), with moderate or even poor reliability for degree and betweenness (ICC < 0.5), (3) HMS algorithm performs best in improving the low-frequency band ICC values. The results indicate that a scanning duration of more than 4 minutes can lead to high reliability of most fNIRS metrics when assessing low-frequency resting brain function in stroke patients. It is recommended to use the global correction method of HMS, and the reporting of degree, betweenness and single channel level should be performed with caution. This paper provides the first comprehensive reference for resting-state experimental design and analysis strategies for fNIRS in stroke rehabilitation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.