ArticleDevelopmental cognitive neuroscience2021
Comparing different pre-processing routines for infant fNIRS data.
Article in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- The role and application of task-state fNIRS in identifying biomarkers in children and adolescents with ADHD: a systematic review.European child & adolescent psychiatry · 2026Pooled it
- Brain responses to repetition-based rule-learning do not exhibit sex differences: an aggregated analysis of infant fNIRS studies.Scientific reports · 2024Pooled it
- Impact of transcranial alternating current stimulation on psychological stress: A functional near-infrared spectroscopy study.PloS one · 2025Trial
- Sex-differences in resting state dorsolateral prefrontal cortex: comparing motion correction methods in resting state functional near-infrared spectroscopy (fNIRS).Brain structure & function · 2026Article
- The choice stepping reaction task: how prefrontal network topology reconfigures in aging and dementia.GeroScience · 2026Article
- Massage-Related Changes in Cortical Activity and Cerebral Oxygenation in Healthy Term Infants: An Exploratory EEG-fNIRS Study with Sex-Specific Observations.Neurology international · 2026Article
- Understanding variability in full-term newborns' fNIRS data: the impact of birth weight and gestational age on infants' speech perception abilities.Neurophotonics · 2026Article
- Singing to the newborn brain uncovers early traces of specialized neural networks.Communications psychology · 2026Article
- Data-driven optimization of preschoolers' hemodynamic response in a VR setup: advancing analytic methods for children's fNIRS naturalistic data with the AICopt method.Neurophotonics · 2026Article
- Functional specialisation across the first five years of life: A longitudinal characterisation of social perception with fNIRS.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Shape of the hemodynamic response function in deaf infants eligible for cochlear implantation.Neurophotonics · 2026Article
- Investigating the effect of channel pruning on functional near-infrared spectroscopy data collected from children aged 5 to 24 months.Neurophotonics · 2026Article
- Cross-paradigm fNIRS brain activity in 1-month-old infants across The Gambia and the United Kingdom.Neurophotonics · 2026Article
- fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience.Communications biology · 2025Article
- BrainFusion: a Low-Code, Reproducible, and Deployable Software Framework for Multimodal Brain‒Computer Interface and Brain‒Body Interaction Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- fNIRS Feasibility to Measure Brain Oxygenation Patterns of the Motor Cortex in Relation to Massage and Reflex Locomotion Therapy in Babies.Journal of clinical medicine · 2025Article
- Observation of cortical state-based learning in infants in a functional near-infrared spectroscopy paradigm.Neurophotonics · 2025Article
- Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS.Sensors (Basel, Switzerland) · 2025Article
- Requirement of a complex motor task to identify neuroplastic changes in motor control of the lower extremity in patients with anterior cruciate ligament reconstruction: a fNIRS study.Frontiers in human neuroscience · 2025Article
- NiReject: toward automated bad channel detection in functional near-infrared spectroscopy.Neurophotonics · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional Near Infrared Spectroscopy (fNIRS) is an important neuroimaging technique in cognitive developmental neuroscience. Nevertheless, there is no general consensus yet about best pre-processing practices. This issue is highly relevant, especially since the development and variability of the infant hemodynamic response (HRF) is not fully known. Systematic comparisons between analysis methods are thus necessary. We investigated the performance of five different pipelines, selected on the basis of a systematic search of the infant NIRS literature, in two experiments. In Experiment 1, we used synthetic data to compare the recovered HRFs with the true HRF and to assess the robustness of each method against increasing levels of noise. In Experiment 2, we analyzed experimental data from a published study, which assessed the neural correlates of artificial grammar processing in newborns. We found that with motion artifact correction (as opposed to rejection) a larger number of trials were retained, but HRF amplitude was often strongly reduced. By contrast, artifact rejection resulted in a high exclusion rate but preserved adequately the characteristics of the HRF. We also found that the performance of all pipelines declined as the noise increased, but significantly less so than if no pre-processing was applied. Finally, we found no difference between running the pre-processing on optical density or concentration change data. These results suggest that pre-processing should thus be optimized as a function of the specific quality issues a give dataset exhibits.
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