ArticleJournal of biomedical optics2017
Characterization and correction of the false-discovery rates in resting state connectivity using functional near-infrared spectroscopy.
Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed, 92 citations in OpenAlex.
- Task-free functional connectivity changes before and after hyper- and hypoglycemia in very preterm neonates.Neurophotonics · 2026Article
- Poverty and caregiver mental health are related to infant and toddler resting-state brain networks: insights from fNIRS.Neurophotonics · 2026Article
- The effects of protocol factors and participant characteristics on functional near-infrared spectroscopy data quality after stroke.Neuroimage. Reports · 2025Article
- Assessment of cortical activity, functional connectivity, and neuroplasticity in cerebral palsy using functional near-infrared spectroscopy: A scoping review.Developmental medicine and child neurology · 2025Article
- Behavioral and neurofunctional profiles of delay aversion in children with attention-deficit hyperactivity disorder.Translational psychiatry · 2025Article
- Cross-modal functional plasticity after cochlear implantation.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Examining the role of early bilingualism on interference suppression and prefrontal connectivity.Frontiers in integrative neuroscience · 2025Article
- Randomized prenatal and postnatal nutrient supplementation shows no long-term impact on cortical gray matter in Ghanaian children.Frontiers in human neuroscience · 2025Article
- Changes in hemispheric dominance following targeted muscle reinnervation: a case study.Frontiers in human neuroscience · 2025Article
- Greater Frontoparietal Connectivity During Task Engagement Among Toddlers With Parent-Reported Inattention.Developmental psychobiology · 2024Article
- Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy-based brain network analysis.Neurophotonics · 2024Article
- Cortical processes of multisensory plausibility modulation of vibrotactile perception in virtual environments in middled-aged and older adults.Scientific reports · 2024Article
- Resting-State Connectivity in Acute and Subacute Poststroke Aphasia: A Functional Near-Infrared Spectroscopy Pilot Study.Brain connectivity · 2023Article
- Test-retest reliability of fNIRS in resting-state cortical activity and brain network assessment in stroke patients.Biomedical optics express · 2023Article
- Revealing the spatiotemporal requirements for accurate subject identification with resting-state functional connectivity: a simultaneous fNIRS-fMRI study.Neurophotonics · 2023Article
- Phantom limb therapy improves cortical efficiency of the sensorimotor network in a targeted muscle reinnervation amputee: a case report.Frontiers in neuroscience · 2023Article
- Motor cortical functional connectivity changes due to short-term immobilization of upper limb: an fNIRS case report.Frontiers in rehabilitation sciences · 2023Article
- Self-administered transcranial direct current stimulation treatment of knee osteoarthritis alters pain-related fNIRS connectivity networks.Neurophotonics · 2023Article
- Getting in synch: Unpacking the role of parent-child synchrony in the development of internalizing and externalizing behaviors.Development and psychopathology · 2022Article
- Functional connectivity response to acute pain assessed by fNIRS is associated with BDNF genotype in fibromyalgia: an exploratory study.Scientific reports · 2022Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that uses low levels of red to near-infrared light to measure changes in cerebral blood oxygenation. Spontaneous (resting state) functional connectivity (sFC) has become a critical tool for cognitive neuroscience for understanding task-independent neural networks, revealing pertinent details differentiating healthy from disordered brain function, and discovering fluctuations in the synchronization of interacting individuals during hyperscanning paradigms. Two of the main challenges to sFC-NIRS analysis are (i) the slow temporal structure of both systemic physiology and the response of blood vessels, which introduces false spurious correlations, and (ii) motion-related artifacts that result from movement of the fNIRS sensors on the participants’ head and can introduce non-normal and heavy-tailed noise structures. In this work, we systematically examine the false-discovery rates of several time- and frequency-domain metrics of functional connectivity for characterizing sFC-NIRS. Specifically, we detail the modifications to the statistical models of these methods needed to avoid high levels of false-discovery related to these two sources of noise in fNIRS. We compare these analysis procedures using both simulated and experimental resting-state fNIRS data. Our proposed robust correlation method has better performance in terms of being more reliable to the noise outliers due to the motion artifacts.
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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.