ArticleScientific reports2018
Exploring brain functional connectivity in rest and sleep states: a fNIRS study.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
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- Reliability of Behavioral and fNIRS Neural Responses: Assessments During Posture-Inhibitory Control Dual Tasking.NeuroSci · 2026Article
- Prefrontal fNIRS hemodynamic correlates of attentional load during rapid serial visual presentation tasks.Frontiers in human neuroscience · 2026Article
- Resting-state brain network alterations in spinal cord injury patients: an fNIRS study.Frontiers in human neuroscience · 2026Article
- A Pocket Laboratory for Functional Neuroimaging Research Using Mobile Visual Oddball, Multimodal Electroencephalography, and Functional Near-Infrared Spectroscopy Imaging: Instrument Validation Study.JMIR neurotechnology · 2026Article
- Dissociating the Role of Dorsolateral Prefrontal Cortex and Ventrolateral Prefrontal Cortex in Cognitive Control in Depression: A Combined HD-tDCS and fNIRS Study.Brain topography · 2025Article
- No effect of preliminarily simulated cathodal HD-tDCS on the frontopolar cortex in the exploration-exploitation task.Scientific reports · 2025Article
- Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study.PLoS computational biology · 2025Article
- A Virtual Reality Force Control Training System on Brain Activation: Functional Near-Infrared Spectroscopy (fNIRS) Study.JMIR serious games · 2025Article
- Co-localized optode-electrode design for multimodal functional near infrared spectroscopy and electroencephalography.Neurophotonics · 2025Article
- Observation of cortical state-based learning in infants in a functional near-infrared spectroscopy paradigm.Neurophotonics · 2025Article
- Revolutionizing Sleep Science: A Narrative Review of the Historical Origins and Current Applications of Sleep Neuroimaging.Nature and science of sleep · 2025Review
- Emotion Recognition Based on a EEG-fNIRS Hybrid Brain Network in the Source Space.Brain sciences · 2024Article
- Altered functional connectivity in preterm neonates with intraventricular hemorrhage assessed using functional near-infrared spectroscopy.Scientific reports · 2024Article
- Modulate the impact of the drowsiness on the resting state functional connectivity.Scientific reports · 2024Article
- EEG and fNIRS datasets based on Stroop task during two weeks of high-altitude exposure in new immigrants.Scientific data · 2024Article
- Brain functional connectivity under teleoperation latency: a fNIRS study.Frontiers in neuroscience · 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
- On decoding of rapid motor imagery in a diverse population using a high-density NIRS device.Frontiers in neuroergonomics · 2024Article
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Authors and funding
6 authors.
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Abstract
This study investigates the brain functional connectivity in the rest and sleep states. We collected EEG, EOG, and fNIRS signals simultaneously during rest and sleep phases. The rest phase was defined as a quiet wake-eyes open (w_o) state, while the sleep phase was separated into three states; quiet wake-eyes closed (w_c), non-rapid eye movement sleep stage 1 (N1), and non-rapid eye movement sleep stage 2 (N2) using the EEG and EOG signals. The fNIRS signals were used to calculate the cerebral hemodynamic responses (oxy-, deoxy-, and total hemoglobin). We grouped 133 fNIRS channels into five brain regions (frontal, motor, temporal, somatosensory, and visual areas). These five regions were then used to form fifteen brain networks. A network connectivity was computed by calculating the Pearson correlation coefficients of the hemodynamic responses between fNIRS channels belonging to the network. The fifteen networks were compared across the states using the connection ratio and connection strength calculated from the normalized correlation coefficients. Across all fifteen networks and three hemoglobin types, the connection ratio was high in the w_c and N1 states and low in the w_o and N2 states. In addition, the connection strength was similar between the w_c and N1 states and lower in the w_o and N2 states. Based on our experimental results, we believe that fNIRS has a high potential to be a main tool to study the brain connectivity in the rest and sleep states.
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