4.5 Review

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

Journal

FRONTIERS IN HUMAN NEUROSCIENCE
Volume 15, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnhum.2021.627983

Keywords

fNIRS; action-observation; motor; mirror neuron; mu rhythm; neuroimaging

Funding

  1. Intramural Research Program (IRP) of the National Institute of Child Health and Human Development [1ZIAHD008882-10]
  2. National Institute of Health's Bench-to-Bedside Program

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Functional near-infrared spectroscopy (fNIRS) has experienced significant growth in the field of neuroimaging, particularly in studying the action-observation network (AON). Research on AON using fNIRS has provided methodological advantages and insights, contributing to the development of future studies on AON and potential multimodal imaging applications.
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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