Fnirs Neuroimaging
Fnirs Neuroimaging - Related Videos
07:56
Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
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2025
This study used functional near-infrared spectroscopy (fNIRS) to measure prefrontal cortex activity during a 23 min block-design yoga asana sequence with 27 adults. Resting-state connectivity was recorded before and after practice. Findings highlight fNIRS's effectiveness in movement-based research and provide neurological insights into the effects of yoga asanas.
06:35
Basics of Multivariate Analysis in Neuroimaging Data
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Cited by 37 •
2010
The current article describes the basics of multivariate analysis and contrasts it to the more commonly used voxel-wise univariate analysis. Both types of analysis are applied to a clinical-neuroscience data set. Supplementary split-half simulations show better replication of the multivariate results in independent data sets.
15:18
Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
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Cited by 139 •
2009
Despite an increase in the use of structural and functional magnetic resonance imaging (fMRI) in humans, the study of young pediatric populations remains a challenge. We present a hands-on, step-by-step video protocol including guidelines for clinicians and researchers intending to perform (f)MRI in young children.
14:27
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Cited by 73 •
2013
Multivariate techniques including principal component analysis (PCA) have been used to identify signature patterns of regional change in functional brain images. We have developed an algorithm to identify reproducible network biomarkers for the diagnosis of neurodegenerative disorders, assessment of disease progression, and objective evaluation of treatment effects in patient populations.
10:36
fMRI Validation of fNIRS Measurements During a Naturalistic Task
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Cited by 107 •
2015
We present a method to compare functional brain activity recorded during a naturalistic task using fNIRS with activity recorded during fMRI.
FAQs
fNIRS uses near-infrared light to probe how blood in cortical tissue absorbs light. Detectors compare the returning light with the emitted signal, and changes in absorption are associated with shifts in oxygenated and deoxygenated hemoglobin. Those paired signals are then used to estimate local changes in cerebral oxygenation and blood flow, linking the optical measurement to brain-function research.
Measuring both oxygenated and deoxygenated hemoglobin provides complementary information about the local blood response rather than relying on a single optical signal. Changes in these forms of hemoglobin help characterize altered cerebral oxygenation and support estimates of blood-flow changes. This is important because the recorded pattern is interpreted as a local hemodynamic response near the cortical surface.
The location of the signal is a central constraint: fNIRS primarily samples brain tissue near the cortical surface because light must pass through the scalp to reach and return from the measured region. Consequently, it is well suited to questions about accessible cortical responses, but it should not be treated as a whole-brain measurement. This boundary guides experimental interpretation.
Unlike approaches used in conventional imaging settings, fNIRS can be used when portability and tolerance of movement are important. Its optical measurements remain focused on changes in hemoglobin and estimated local oxygenation or blood flow, while the practical setup allows researchers to examine responses during movement, communication, and social interaction. The distinction is therefore both methodological and ecological.
During a measurement, near-infrared light is emitted through the scalp and the amount absorbed by blood is detected. The resulting signals are processed to estimate changes in oxygenated and deoxygenated hemoglobin, then related to local cerebral oxygenation and blood flow. This workflow connects light measurements with interpretable changes in cortical brain activity during a selected task.
Researchers can pair fNIRS neuroimaging with tasks that would be difficult to perform in a restrictive imaging environment. Supported examples include movement, communication, and social interaction, making the technique useful for studying brain responses in more naturalistic settings. The same flexibility extends across developmental research, cognitive investigations, and studies of clinical conditions.
fNIRS is especially relevant when a study needs access to participants across varied settings or conditions in which conventional imaging may be impractical. Its relative portability and movement tolerance support investigations that prioritize natural behavior, including interpersonal interaction. Within neuroscience, these features broaden the study of development, cognition, and clinical conditions beyond highly controlled imaging environments.