Applications of Functional Near-Infrared Spectroscopy in Fatigue, Sleep Deprivation, and Social Cognition

被引:0
作者
Yafeng Pan
Guillermo Borragán
Philippe Peigneux
机构
[1] Université Libre de Bruxelles,Neuropsychology and Functional Neuroimaging Research Unit (UR2NF) at CRCN—Center for Research in Cognition and Neurosciences and UNI–ULB Neurosciences Institute
[2] East China Normal University,School of Psychology and Cognitive Science
来源
Brain Topography | 2019年 / 32卷
关键词
Functional near-infrared spectroscopy (fNIRS); Fatigue; Sleep deprivation; Social cognition; Hyperscanning; fNIRS application;
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中图分类号
学科分类号
摘要
Functional near-infrared spectroscopy (fNIRS) is an optical diffusion technique that allows the non-invasive imaging of cortical activity. During the last two decades, rapid technical and methodological advances have made fNIRS a powerful tool to investigate the cerebral correlates of human performance and cognitive functions, including fatigue, sleep deprivation and social cognition. Despite intrinsic limitations such as restricted brain depth and spatial resolution, its applicability, low cost, ecological validity, and tolerance to movements make fNIRS advantageous for scientific research and clinical applications. It can be viewed as a valid and promising brain imaging approach to investigate applied societal problems (e.g., safety, children development, sport science) and complement other neuroimaging techniques. The intrinsic power of fNIRS measurements for the study of social cognition is magnified when applied to the hyperscanning paradigm (i.e., measuring activity in two or more brains simultaneously). Besides consolidating existing findings, future fNIRS research should focus on methodological advances (e.g., artefacts correction, connectivity approaches) and standardization of analysis pipelines, and expand currently used paradigms in more naturalistic but controlled settings.
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页码:998 / 1012
页数:14
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  • [1] Adolphs R(2010)What does the amygdala contribute to social cognition? Ann N Y Acad Sci 1191 42-61
  • [2] Ahn S(2016)Exploring neuro-physiological correlates of drivers’ mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data Front Hum Neurosci 10 219-277
  • [3] Nguyen T(2006)Meeting of minds: the medial frontal cortex and social cognition Nat Rev Neurosci 7 268-47
  • [4] Jang H(2012)Optical brain monitoring for operator training and mental workload assessment NeuroImage 59 36-84
  • [5] Kim JG(2017)Imaging brain function with functional near-infrared spectroscopy in unconstrained environments Front Hum Neurosci 11 258-124
  • [6] Jun SC(2017)Cognitive fatigue: a time-based resource-sharing account Cortex 89 71-8572
  • [7] Amodio DM(2018)Cognitive fatigue, sleep and cortical activity in multiple sclerosis disease. A behavioral, polysomnographic and functional near-infrared spectroscopy investigation Front Hum Neurosci 12 378-30
  • [8] Frith CD(2018)Transcranial direct current stimulation does not counteract cognitive fatigue, but induces sleepiness and an inter-hemispheric shift in brain oxygenation Front Psychol 9 2351-2048
  • [9] Ayaz H(2019)Decreased prefrontal connectivity parallels cognitive fatigue-related performance decline after sleep deprivation. An optical imaging study Biol Psychol 144 115-770
  • [10] Shewokis PA(2015)Nature experience reduces rumination and subgenual prefrontal cortex activation Proc Natl Acad Sci USA 112 8567-3046