ArticleScientific reports2021
Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Prefrontal hemodynamic alterations during resting state and stroop interference in cognitively healthy older adults with high plasma pTau-217 levels.Neuroimage. Reports · 2026Article
- Orthostatic hypotension and acute cognitive dysfunction in Parkinson's disease: insights from functional near-infrared spectroscopy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- fNIRS Hemodynamic Alterations in Developmental and Acquired Language Disorders and Dyslexia: An Exploratory Transdiagnostic Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2026Review
- A soft wearable near-infrared spectroscopy system for detecting brain water dynamics linked to glymphatic activity during sleep.Science advances · 2026Article
- Cortical mapping of real-time ultrasound-imaging visual feedback for ankle dorsiflexion in patients after stroke: a fNIRS study.Journal of neuroengineering and rehabilitation · 2026Article
- Reliability of diffuse optical spectroscopies for evaluation of cerebral hemometabolic stress in children with sickle cell anemia.Biomedical optics express · 2026Article
- DL-QC-fNIRS: a deep learning tool for automated quality control in functional near-infrared spectroscopy signals.Neurophotonics · 2026Article
- HRNeurophotonics · 2026Article
- Frontal brain activity assessment during basic life support skill acquisition and transfer in serious game based learning environments.PloS one · 2026Article
- Transformer-based deep learning model for predicting fNIRS short-channel signals.Neurophotonics · 2025Article
- The Impact of Minimally Invasive Surgical Modality and Task Complexity on Cognitive Workload: An fNIRS Study.Brain sciences · 2025Article
- Brain Activation During Motor Preparation and Execution in Patients with Mild Cognitive Impairment: An fNIRS Study.Brain sciences · 2025Article
- A Personalized Multimodal BCI-Soft Robotics System for Rehabilitating Upper Limb Function in Chronic Stroke Patients.Biomimetics (Basel, Switzerland) · 2025Article
- Wearable Wireless Functional Near-Infrared Spectroscopy System for Cognitive Activity Monitoring.Biosensors · 2025Article
- Distinct fNIRS Inter-Brain Coupling Patterns for Cooperation versus Competition in a Tennis Game.Social cognitive and affective neuroscience · 2025Article
- Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.PloS one · 2025Article
- Brain compensatory activation during Stroop task in patients with mild cognitive impairment: a functional near-infrared spectroscopy study.Frontiers in aging 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
- Attentional responses to the color exposure sequence of landscape paintings: evidence from fNIRS and eye-tracking.Frontiers in human neuroscience · 2025Article
- Cortical cognitive processing during reading captured using functional-near infrared spectroscopy.Scientific reports · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional near infrared spectroscopy (fNIRS) measurements are confounded by signal components originating from multiple physiological causes, whose activities may vary temporally and spatially (across tissue layers, and regions of the cortex). Furthermore, the stimuli can induce evoked effects, which may lead to over or underestimation of the actual effect of interest. Here, we conducted a temporal, spectral, and spatial analysis of fNIRS signals collected during cognitive and hypercapnic stimuli to characterize effects of functional versus systemic responses. We utilized wavelet analysis to discriminate physiological causes and employed long and short source-detector separation (SDS) channels to differentiate tissue layers. Multi-channel measures were analyzed further to distinguish hemispheric differences. The results highlight cardiac, respiratory, myogenic, and very low frequency (VLF) activities within fNIRS signals. Regardless of stimuli, activity within the VLF band had the largest contribution to the overall signal. The systemic activities dominated the measurements from the short SDS channels during cognitive stimulus, but not hypercapnic stimulus. Importantly, results indicate that characteristics of fNIRS signals vary with type of the stimuli administered as cognitive stimulus elicited variable responses between hemispheres in VLF band and task-evoked temporal effect in VLF, myogenic and respiratory bands, while hypercapnic stimulus induced a global response across both hemispheres.
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