Simultaneous functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) to elucidate neurovascular modulation by transcranial electrical stimulation (tES)

Background. The cortical plastic changes in response to median nerve electrical stimulation (MNES) in stroke patients have not been entirely illustrated. Objective. This study aimed to investigate MNES-related changes in effective connectivity (EC) within a cortical network after stroke by using functional near-infrared spectroscopy (fNIRS). Methods. The cerebral oxygenation signals in the bilateral prefrontal cortex (LPFC/RPFC), motor cortex (LMC/RMC), and occipital lobe (LOL/ROL) of 20 stroke patients with right hemiplegia were measured by fNIRS in 2 conditions: (1) resting state and (2) MNES applied to the right wrist. Coupling function together with dynamical Bayesian inference was used to assess MNES-related changes in EC among the cerebral low-frequency fluctuations. Results. Compared with the resting state, EC from LPFC and RPFC to LOL was significantly increased during the MNES state in stroke patients. Additionally, MNES triggered significantly higher coupling strengths from LMC and LOL to RPFC. The interregional main coupling direction was observed from LPFC to bilateral motor and occipital areas in responding to MNES, suggesting that MNES could promote the regulation function of ipsilesional prefrontal areas in the functional network. MNES can induce muscle twitch of the stroke-affected hand involving a decreased neural coupling of the contralesional motor area on the ipsilesional MC. Conclusions. MNES can trigger sensorimotor stimulations of the affected hand that sequentially involved functional reorganization of distant cortical areas after stroke. Investigating MNES-related changes in EC after stroke may help further our understanding of the neural mechanisms underlying MNES.

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Functional near-infrared spectroscopy to probe sensorimotor region activation during electrical stimulation-evoked movement

Clinical Physiology and Functional Imaging ◽

10.1111/cpf.12485 ◽

2017 ◽

Vol 38 (5) ◽

pp. 816-822 ◽

Cited By ~ 2

Author(s):

Makii Muthalib ◽

Marco Ferrari ◽

Valentina Quaresima ◽

Graham Kerr ◽

Stephane Perrey

Keyword(s):

Electrical Stimulation ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Functional Near Infrared Spectroscopy ◽

Sensorimotor Region

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Characterizing the Action-Observation Network Through Functional Near-Infrared Spectroscopy: A Review

Frontiers in Human Neuroscience ◽

10.3389/fnhum.2021.627983 ◽

2021 ◽

Vol 15 ◽

Author(s):

Emma E. Condy ◽

Helga O. Miguel ◽

John Millerhagen ◽

Doug Harrison ◽

Kosar Khaksari ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Action Observation ◽

Brain Structures ◽

Functional Near Infrared Spectroscopy ◽

Methodological Choices ◽

Action Observation Network ◽

Observation Network ◽

Electroencephalogram Eeg

Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique that has undergone tremendous growth over the last decade due to methodological advantages over other measures of brain activation. The action-observation network (AON), a system of brain structures proposed to have “mirroring” abilities (e.g., active when an individual completes an action or when they observe another complete that action), has been studied in humans through neural measures such as fMRI and electroencephalogram (EEG); however, limitations of these methods are problematic for AON paradigms. For this reason, fNIRS is proposed as a solution to investigating the AON in humans. The present review article briefly summarizes previous neural findings in the AON and examines the state of AON research using fNIRS in adults. A total of 14 fNIRS articles are discussed, paying particular attention to methodological choices and considerations while summarizing the general findings to aid in developing better protocols to study the AON through fNIRS. Additionally, future directions of this work are discussed, specifically in relation to researching AON development and potential multimodal imaging applications.

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A Study of Frontal Signals in Brain Computer Interfaces: Interpretation of EEG & FNIRS

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset207622 ◽

2020 ◽

pp. 136-142

Author(s):

S. Srilekha ◽

B. Vanathi

Keyword(s):

Infrared Spectroscopy ◽

Healthy Subject ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Economic Conditions ◽

Brain Computer Interfaces ◽

Functional Near Infrared Spectroscopy ◽

Computer Interfaces ◽

Rehabilitation Devices

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.

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61-LB: Use of Functional Near-Infrared Spectroscopy (fNIRS) to Assess Cognitive Effort in KATP-Related Neonatal Diabetes (KATP-NDM)

Diabetes ◽

10.2337/db20-61-lb ◽

2020 ◽

Vol 69 (Supplement 1) ◽

pp. 61-LB

Author(s):

LISA R. LETOURNEAU-FREIBERG ◽

KIMBERLY L. MEIDENBAUER ◽

ANNA M. DENSON ◽

PERSEPHONE TIAN ◽

KYOUNG WHAN CHOE ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Neonatal Diabetes ◽

Cognitive Effort ◽

Functional Near Infrared Spectroscopy

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The Use of fNIRS for Unique Contributions to Social and Affective Neuroscience

10.31234/osf.io/kygbm ◽

2019 ◽

Author(s):

Shannon Burns ◽

Matthew D. Lieberman

Keyword(s):

Infrared Spectroscopy ◽

Social Interaction ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Affective Neuroscience ◽

Functional Near Infrared Spectroscopy ◽

Psychological Experience ◽

The World ◽

And Behavior ◽

Meaningful Interaction

Social and affective neuroscience studies the neurophysiological underpinnings of psychological experience and behavior as it relates to the world around us. Yet, most neuroimaging methods require the removal of participants from their rich environment and the restriction of meaningful interaction with stimuli. In this Tools of the Trade article, we explain functional near infrared spectroscopy (fNIRS) as a neuroimaging method that can address these concerns. First, we provide an overview of how fNIRS works and how it compares to other neuroimaging methods common in social and affective neuroscience. Next, we describe fNIRS research that highlights its usefulness to the field – when rich stimuli engagement or environment embedding is needed, studies of social interaction, and examples of how it can help the field become more diverse and generalizable across participant populations. Lastly, this article describes how to use fNIRS for neuroimaging research with points of advice that are particularly relevant to social and affective neuroscience studies.

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