Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS

被引:0
|
作者
Mickaël Causse
Zarrin Chua
Vsevolod Peysakhovich
Natalia Del Campo
Nadine Matton
机构
[1] Institut Supérieur de l’Aéronautique et de l’Espace (ISAE-SUPAERO),Toulouse NeuroImaging Center, ToNIC
[2] Ecole de psychologie,undefined
[3] Université Laval,undefined
[4] Centre of Excellence in Neurodegeneration of Toulouse,undefined
[5] University of Toulouse,undefined
[6] University of Cambridge,undefined
[7] Department of Psychiatry,undefined
[8] Addenbrooke’s Hospital,undefined
[9] Ecole Nationale de l’Aviation Civile,undefined
[10] Laboratoire CLLE-LTC,undefined
[11] 5 Allée Antonio Machado,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
An improved understanding of how the brain allocates mental resources as a function of task difficulty is critical for enhancing human performance. Functional near infrared spectroscopy (fNIRS) is a field-deployable optical brain monitoring technology that provides a direct measure of cerebral blood flow in response to cognitive activity. We found that fNIRS was sensitive to variations in task difficulty in both real-life (flight simulator) and laboratory settings (tests measuring executive functions), showing increased concentration of oxygenated hemoglobin (HbO2) and decreased concentration of deoxygenated hemoglobin (HHb) in the prefrontal cortex as the tasks became more complex. Intensity of prefrontal activation (HbO2 concentration) was not clearly correlated to task performance. Rather, activation intensity shed insight on the level of mental effort, i.e., how hard an individual was working to accomplish a task. When combined with performance, fNIRS provided an estimate of the participants’ neural efficiency, and this efficiency was consistent across levels of difficulty of the same task. Overall, our data support the suitability of fNIRS to assess the mental effort related to human operations and represents a promising tool for the measurement of neural efficiency in other contexts such as training programs or the clinical setting.
引用
收藏
相关论文
共 50 条
  • [31] Differential Neural Correlates in the Prefrontal Cortex during a Delay Discounting Task in Healthy Adults: An fNIRS Study
    Ikegami, Masanaga
    Sorama, Michiko
    [J]. BRAIN SCIENCES, 2023, 13 (05)
  • [32] Effect of anodal tDCS on human prefrontal cortex observed by fNIRS
    Bhutta, M. Raheel
    Woo, Seong-Woo
    Khan, M. Jawad
    Hong, Keum-Shik
    [J]. 2016 6TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), 2016, : 957 - 961
  • [33] Preschoolers' deception related to prefrontal cortex activation: An fNIRS study
    Dai, Meng
    Gao, Yu
    Hu, Xintai
    Hu, Zhishan
    Sai, Liyang
    [J]. NEUROIMAGE, 2024, 298
  • [34] Stress estimation by the prefrontal cortex asymmetry: Study on fNIRS signals
    Molina-Rodriguez, Sergio
    Hidalgo-Munoz, Antonio R.
    Ibanez-Ballesteros, Joaquin
    Tabernero, Carmen
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2023, 325 : 151 - 157
  • [35] Role of prefrontal cortex during Sudoku task: fNIRS study
    Ashlesh, Patil
    Deepak, Kishore K.
    Preet, Kochhar Kanwal
    [J]. TRANSLATIONAL NEUROSCIENCE, 2020, 11 (01) : 419 - 427
  • [36] Prefrontal Cortex Activation and Young Driver Behaviour: A fNIRS Study
    Foy, Hannah J.
    Runham, Patrick
    Chapman, Peter
    [J]. PLOS ONE, 2016, 11 (05):
  • [37] Assessment and Classification of Mental Workload in the Prefrontal Cortex (PFC) Using Fixed-Value Modified Beer-Lambert Law
    Asgher, Umer
    Riaz, Ahmad
    Naseer, Noman
    Ayaz, Yasar
    Khan, Muhammad Jawad
    Amjad, Muhammad Kamal
    [J]. IEEE ACCESS, 2019, 7 : 143250 - 143262
  • [38] Individual Differences in Prefrontal Cortex Activity during Perception of Bitter Taste Using fNIRS Methodology
    Bembich, Stefano
    Lanzara, Carmela
    Clarici, Andrea
    Demarini, Sergio
    Tepper, Beverly J.
    Gasparini, Paolo
    Grasso, Domenico L.
    [J]. CHEMICAL SENSES, 2010, 35 (09) : 801 - 812
  • [39] Analysis of Classification Performance of fNIRS Signals from Prefrontal Cortex using Various Temporal Windows
    Naseer, Noman
    Hong, Keum-Shik
    Khan, M. Jawad
    Bhutta, M. Raheel
    [J]. 2015 10TH ASIAN CONTROL CONFERENCE (ASCC), 2015,
  • [40] Mental Task Classifications using Prefrontal Cortex Electroencephalograph Signals
    Chai, Rifai
    Ling, Sai Ho
    Hunter, Gregory P.
    Nguyen, Hung T.
    [J]. 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 1831 - 1834