ArticleNeurophotonics2020
Functional near-infrared spectroscopy for speech protocols: characterization of motion artifacts and guidelines for improving data analysis.
Article in Neurophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.
- Functional Near-Infrared Spectroscopy in the Study of Speech and Language Impairment Across the Life Span: A Systematic Review.American journal of speech-language pathology · 2020Pooled it
- The Effects of Different Attentional Focus During Walking on Prefrontal Cortical Activation in Young Healthy Adults.The European journal of neuroscience · 2026Article
- Comparative Prefrontal Multimodal Physiological Signatures Under Active- and Passive-Fatigue-Inducing Simulated Driving Paradigms.Brain sciences · 2026Article
- Towards an understanding of somatosensory perturbation on covert speech production: a functional near infrared spectroscopy study.Frontiers in human neuroscience · 2026Article
- Emerging panorama of functional near-infrared spectroscopy in Latin America.Neurophotonics · 2026Article
- Group-level test-retest reliability assessment using systemic physiology augmented functional near-infrared spectroscopy during a passive-listening task.Neurophotonics · 2026Article
- Detecting Awareness in the Intensive Care Unit Using Functional Near-Infrared Spectroscopy.Annals of neurology · 2025Article
- Assessing Executive Function in Pediatric Sleep-Disordered Breathing Using Functional Neuroimaging.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025Observational
- The effects of protocol factors and participant characteristics on functional near-infrared spectroscopy data quality after stroke.Neuroimage. Reports · 2025Article
- Functional near-infrared spectroscopy short-channel regression improves cortical activation estimates of working memory load.Neurophotonics · 2025Article
- In sync through laughter? An fNIRS hyperscanning study on neural synchrony and social connection.Frontiers in neuroscience · 2025Article
- Evaluation of Neural, Systemic and Extracerebral Activations During Active Walking Tasks in Older Adults Using fNIRS.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Comparing different motion correction approaches for resting-state functional connectivity analysis with functional near-infrared spectroscopy data.Neurophotonics · 2024Article
- Functional near-infrared spectroscopy: A novel tool for detecting consciousness after acute severe brain injury.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications.Frontiers in neuroergonomics · 2024Review
- Assessing the consistency and sensitivity of the neural correlates of narrative stimuli using functional near-infrared spectroscopy.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Integrating fNIRS and machine learning: shedding light on Parkinson's disease detection.EXCLI journal · 2024Article
- Using preregistration as a tool for transparent fNIRS study design.Neurophotonics · 2023Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Monitoring speech tasks with functional near-infrared spectroscopy (fNIRS) enables investigation of speech production mechanisms and informs treatment strategies for speech-related disorders such as stuttering. Unfortunately, due to movement of the temporalis muscle, speech production can induce relative movement between probe optodes and skin. These movements generate motion artifacts during speech tasks. In practice, spurious hemodynamic responses in functional activation signals arise from lack of information about the consequences of speech-related motion artifacts, as well as from lack of standardized processing procedures for fNIRS signals during speech tasks. To this end, we characterize the effects of speech production on fNIRS signals, and we introduce a systematic analysis to ameliorate motion artifacts. The study measured 50 healthy subjects performing jaw movement (JM) tasks and found that JM produces two different patterns of motion artifacts in fNIRS. To remove these unwanted contributions, we validate a hybrid motion-correction algorithm based sequentially on spline interpolation and then wavelet filtering. We compared performance of the hybrid algorithm with standard algorithms based on spline interpolation only and wavelet decomposition only. The hybrid algorithm corrected 94% of the artifacts produced by JM, and it did not lead to spurious responses in the data. We also validated the hybrid algorithm during a reading task performed under two different conditions: reading aloud and reading silently. For both conditions, we observed significant cortical activation in brain regions related to reading. Moreover, when comparing the two conditions, good agreement of spatial and temporal activation patterns was found only when data were analyzed using the hybrid approach. Overall, the study demonstrates a standardized processing scheme for fNIRS data during speech protocols. The scheme decreases spurious responses and intersubject variability due to motion artifacts.
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Registered trials
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.