ArticleNeuroImage2014
Reducing motion artifacts for long-term clinical NIRS monitoring using collodion-fixed prism-based optical fibers.
Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 90 citations in OpenAlex.
- Article
- Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness.Frontiers in neurology · 2025Review
- A review of the neuroscience of religion: an overview of the field, its limitations, and future interventions.Frontiers in neuroscience · 2025Review
- Creating anatomically derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.Neurophotonics · 2025Article
- Creating anatomically-derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.bioRxiv : the preprint server for biology · 2024Article
- Comparing different motion correction approaches for resting-state functional connectivity analysis with functional near-infrared spectroscopy data.Neurophotonics · 2024Article
- Flexible circuit-based spatially aware modular optical brain imaging system for high-density measurements in natural settings.Neurophotonics · 2024Article
- Exploring the impact and influence of melanin on frequency-domain near-infrared spectroscopy measurements.Journal of biomedical optics · 2024Article
- Flexible-circuit-based 3-D aware modular optical brain imaging system for high-density measurements in natural settings.medRxiv : the preprint server for health sciences · 2024Article
- Chassis-based fiber-coupled optical probe design for reproducible quantitative diffuse optical spectroscopy measurements.PloS one · 2024Article
- Neurological activation during verbal fluency task and resting-state functional connectivity abnormalities in obsessive-compulsive disorder: a functional near-infrared spectroscopy study.Frontiers in psychiatry · 2024Article
- Real-time motion artifact suppression using convolution neural networks with penalty in fNIRS.Frontiers in neuroscience · 2024Article
- Neural Plasticity Changes Induced by Motor Robotic Rehabilitation in Stroke Patients: The Contribution of Functional Neuroimaging.Bioengineering (Basel, Switzerland) · 2023Review
- Functional near infrared spectroscopy for brain functional connectivity analysis: A graph theoretic approach.Heliyon · 2023Article
- Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability.Human brain mapping · 2023Article
- Cerebral Hemodynamic Changes during Unaffected Handgrip Exercises in Stroke Patients: An fNIRS Study.Brain sciences · 2023Article
- The Feature, Performance, and Prospect of Advanced Electrodes for Electroencephalogram.Biosensors · 2023Review
- Learning based motion artifacts processing in fNIRS: a mini review.Frontiers in neuroscience · 2023Review
- Providing holistic care to children with cerebral palsy treated with transnasal neural stem cell transplantation.Frontiers in pediatrics · 2023Article
- Deep learning-based motion artifact removal in functional near-infrared spectroscopy.Neurophotonics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
As the applications of near-infrared spectroscopy (NIRS) continue to broaden and long-term clinical monitoring becomes more common, minimizing signal artifacts due to patient movement becomes more pressing. This is particularly true in applications where clinically and physiologically interesting events are intrinsically linked to patient movement, as is the case in the study of epileptic seizures. In this study, we apply an approach common in the application of EEG electrodes to the application of specialized NIRS optical fibers. The method provides improved optode-scalp coupling through the use of miniaturized optical fiber tips fixed to the scalp using collodion, a clinical adhesive. We investigate and quantify the performance of this new method in minimizing motion artifacts in healthy subjects, and apply the technique to allow continuous NIRS monitoring throughout epileptic seizures in two epileptic in-patients. Using collodion-fixed fibers reduces the percent signal change of motion artifacts by 90% and increases the SNR by 6 and 3 fold at 690 and 830 nm wavelengths respectively when compared to a standard Velcro-based array of optical fibers. The SNR has also increased by 2 fold during rest conditions without motion with the new probe design because of better light coupling between the fiber and scalp. The change in both HbO and HbR during motion artifacts is found to be statistically lower for the collodion-fixed fiber probe. The collodion-fixed optical fiber approach has also allowed us to obtain good quality NIRS recording of three epileptic seizures in two patients despite excessive motion in each case.
Indexed as
Identifiers
What OpenQuestion holds
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.