ArticleJournal of biomedical optics2015
Effect of motion artifacts and their correction on near-infrared spectroscopy oscillation data: a study in healthy subjects and stroke patients.
Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy.Journal of neuroengineering and rehabilitation · 2024Trial
- Sex-differences in resting state dorsolateral prefrontal cortex: comparing motion correction methods in resting state functional near-infrared spectroscopy (fNIRS).Brain structure & function · 2026Article
- Mapping human cerebral blood flow with high-density, multi-channel speckle contrast optical spectroscopy.Communications biology · 2025Article
- Synthetic-data-driven LSTM framework for tracing cardiac pulsation in optical signals.Biomedical optics express · 2025Article
- The effects of protocol factors and participant characteristics on functional near-infrared spectroscopy data quality after stroke.Neuroimage. Reports · 2025Article
- Should you hold onto the treadmill handrails or not? Cortical evidence at different walking speeds.Journal of neuroengineering and rehabilitation · 2025Article
- Cerebral pulsatility might be a driver of neurofunctional reorganization in the aging brain: an MRI and NIRS study.Frontiers in aging neuroscience · 2025Article
- Comparing different motion correction approaches for resting-state functional connectivity analysis with functional near-infrared spectroscopy data.Neurophotonics · 2024Article
- Article
- Real-time motion artifact suppression using convolution neural networks with penalty in fNIRS.Frontiers in neuroscience · 2024Article
- Assessment of power spectral density of microvascular hemodynamics in skeletal muscles at very low and low-frequency via near-infrared diffuse optical spectroscopies.Biomedical optics express · 2023Article
- Motion artifact correction for resting-state neonatal functional near-infrared spectroscopy through adaptive estimation of physiological oscillation denoising.Neurophotonics · 2022Article
- Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review.Frontiers in neuroscience · 2022Review
- Comparison of functional activation responses from the auditory cortex derived using multi-distance frequency domain and continuous wave near-infrared spectroscopy.Neurophotonics · 2021Article
- Wavelength censoring for spectroscopy in optical functional neuroimaging.Physics in medicine and biology · 2021Article
- Non-invasive methods for measuring vascular changes in neurovascular headaches.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019Review
- A Systemic Review of Functional Near-Infrared Spectroscopy for Stroke: Current Application and Future Directions.Frontiers in neurology · 2019Article
- Evaluating motion processing algorithms for use with functional near-infrared spectroscopy data from young children.Neurophotonics · 2018Article
- Effect of short-term colored-light exposure on cerebral hemodynamics and oxygenation, and systemic physiological activity.Neurophotonics · 2017Article
- Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children.Journal of biomedical optics · 2015Article
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Authors and funding
8 authors.
Funding
Abstract
Functional near-infrared spectroscopy is prone to contamination by motion artifacts (MAs). Motion correction algorithms have previously been proposed and their respective performance compared for evoked rain activation studies. We study instead the effect of MAs on "oscillation" data which is at the basis of functional connectivity and autoregulation studies. We use as our metric of interest the interhemispheric correlation (IHC), the correlation coefficient between symmetrical time series of oxyhemoglobin oscillations. We show that increased motion content results in a decreased IHC. Using a set of motion-free data on which we add real MAs, we find that the best motion correction approach consists of discarding the segments of MAs following a careful approach to minimize the contamination due to band-pass filtering of data from "bad" segments spreading into adjacent "good" segments. Finally, we compare the IHC in a stroke group and in a healthy group that we artificially contaminated with the MA content of the stroke group, in order to avoid the confounding effect of increased motion incidence in the stroke patients. After motion correction, the IHC remains lower in the stroke group in the frequency band around 0.1 and 0.04 Hz, suggesting a physiological origin for the difference. We emphasize the importance of considering MAs as a confounding factor in oscillation-based functional near-infrared spectroscopy studies.
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