ArticlePloS one2024
Opening the dialogue: A preliminary exploration of hair color, hair cleanliness, light, and motion effects on fNIRS signal quality.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Acute effects of high-intensity interval training on inhibitory control and prefrontal network topology in problematic social media users: An fNIRS study.Journal of exercise science and fitness · 2026Article
- Evaluating the reliability of functional near-infrared spectroscopy data in the context of a reasoning paradigm.Developmental cognitive neuroscience · 2026Article
- Near-Infrared Spectroscopy to Assess Covert Volitional Brain Activity in Intensive Care.Neurocritical care · 2026Article
- Developing an inclusive approach to fNIRS research in women of color.Neurophotonics · 2026Article
- The effects of protocol factors and participant characteristics on functional near-infrared spectroscopy data quality after stroke.Neuroimage. Reports · 2025Article
- Wide-Based Illumination and Detection in Functional Near-Infrared Spectroscopy for Enhanced Seizure Detection in Grey Matter.Sensors (Basel, Switzerland) · 2025Article
- Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools.Scientific data · 2025Article
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Authors and funding
3 authors.
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Abstract
introductionFunctional near-infrared spectroscopy (fNIRS) is a promising tool for studying brain activity, offering advantages such as portability and affordability. However, challenges in data collection persist due to factors like participant physiology, environmental light, and gross-motor movements, with limited literature on their impact on fNIRS signal quality. This study addresses four potentially influential factors-hair color, hair cleanliness, environmental light, and gross-motor movements-on fNIRS signal quality. Our aim is to raise awareness and offer insights for future fNIRS research.
methodsSix participants (4 Females, 2 Males) took part in four different experiments investigating the effects of hair color, hair cleanliness, environmental light, and gross-motor movements on fNIRS signal quality. Participants in Experiment 1, categorized by hair color, completed a finger-tapping task in a between-subjects block design. Signal quality was compared between each hair color. Participants in Experiments 2 and 3 completed a finger-tapping task in a within-subjects block design, with signal quality being compared across hair cleanliness (i.e., five consecutive days without washing the hair) and environmental light (i.e., sunlight, artificial light, no light, etc.), respectively. Experiment 4 assessed three gross-motor movements (i.e., walking, turning and nodding the head) in a within-subjects block design. Motor movements were then compared to resting blocks. Signal quality was evaluated using Scalp Coupling Index (SCI) measurements.
resultsLighter hair produced better signals than dark hair, while the impact of environmental light remains uncertain. Hair cleanliness showed no significant effects, but gross motor movements notably reduced signal quality.
conclusionOur results suggest that hair color, environmental light, and gross-motor movements affect fNIRS signal quality while hair cleanliness does not. Nevertheless, future studies with larger sample sizes are warranted to fully understand these effects. To advance future research, comprehensive documentation of participant demographics and lab conditions, along with signal quality analyses, is essential.
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