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Classification algorithm for motor imagery fusing CNN and attentional mechanisms based on functional near-infrared spectroscopy brain image
With the continuing development of brain–computer interface technology, the analysis and interpretation of brain signals are becoming increasingly...
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Sound Level Changes the Auditory Cortical Activation Detected with Functional Near-Infrared Spectroscopy
BackgroundFunctional near-infrared spectroscopy (fNIRS) is a viable non-invasive technique for functional neuroimaging in the cochlear implant (CI)...
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EEG/fNIRS
Electroencephalogram (EEG) and the functional near-infrared spectroscopy (fNIRS) are non-invasive methods to investigate the brain activity in real...
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Laterality Index Calculations in a Control Study of Functional Near Infrared Spectroscopy
Hemispheric dominance has been used to understand the influence of central and peripheral neural damage on the motor function of individuals with...
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Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy
ObjectiveNoninvasive neural decoding enables predicting motor output from neural activities without physically damaging the human body. A recent...
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Impact of repetitive transcranial magnetic stimulation on cortical activity: a systematic review and meta-analysis utilizing functional near-infrared spectroscopy evaluation
BackgroundRepeated transcranial magnetic stimulation (rTMS) could induce alterations in cortical excitability and promote neuroplasticity. To...
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Neural Substrates for Hand and Shoulder Movement in Healthy Adults: A Functional near Infrared Spectroscopy Study
Characterization of cortical activation patterns during movements in healthy adults may help our understanding of how the injured brain works. Upper...
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Modulating Cortical Hemodynamic Activity in Parkinson’s Disease Using Focal Transcranial Direct Current Stimulation: A Pilot Functional Near-infrared Spectroscopy Study
Reduced thalamocortical facilitation of the motor cortex in PD leads to characteristic motor deficits such as bradykinesia. Recent research has...
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Functional localization of audiovisual speech using near infrared spectroscopy
Visual cues are especially vital for hearing impaired individuals such as cochlear implant (CI) users to understand speech in noise. Functional Near...
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Functional near infrared spectroscopy detects cortical activation changes concurrent with memory loss in postmenopausal women with Type II Diabetes
Older adults with Type II Diabetes Mellitus (DM) experience mild cognitive impairment, specifically in the domain of recall/working memory. No...
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Investigation of Neuromodulatory Effect of Anodal Cerebellar Transcranial Direct Current Stimulation on the Primary Motor Cortex Using Functional Near-Infrared Spectroscopy
Cerebellar brain inhibition (CBI), a neural connection between the cerebellum and primary motor cortex (M1), has been researched as a target pathway...
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fNIRS Studies of Individuals with Speech and Language Impairment Underreport Sociodemographics: A Systematic Review
Functional near-infrared spectroscopy (fNIRS) is a promising tool for scientific discovery and clinical application. However, its utility depends...
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fMRI and fNIRS Methods for Social Brain Studies: Hyperscanning Possibilities
Recently, the “social brainSocial brain” (i.e., how the brain works in social context and the mechanisms for our social behavior) has gained focus in...
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fNIRS is capable of distinguishing laterality of lower body contractions
The use of functional near-infrared spectroscopy (fNIRS) for brain imaging during human movement continues to increase. This technology measures...
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Antidepressant Monotherapy and Combination Therapy with Acupuncture in Depressed Patients: A Resting-State Functional Near-Infrared Spectroscopy (fNIRS) Study
Depression is a common psychiatric illness affecting over 300 million people globally. Acupuncture has been reported to be a safe complementary...
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Neuroplasticity Following Stroke from a Functional Laterality Perspective: A fNIRS Study
To explore alterations of resting-state functional connectivity (rsFC) in sensorimotor cortex following strokes with left or right hemiplegia...
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Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial
BackgroundWe aimed to quantify the identification of mild cognitive impairment and/or Alzheimer’s disease using olfactory-stimulated functional...
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Novel diagnostic tools for identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy: patient-level, single-group, diagnostic trial
IntroductionBasic studies suggest that olfactory dysfunction and functional near-infrared spectroscopy (fNIRS) can be used as tools for the diagnosis...
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Neurovascular coupling during auditory stimulation: event-related potentials and fNIRS hemodynamic
Intensity-dependent amplitude changes (IDAP) have been extensively studied using event-related potentials (ERPs) and have been linked to several...
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CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification
Functional near-infrared spectroscopy (fNIRS), an optical neuroimaging technique, has been widely used in the field of brain activity recognition and...
