Journal Article10.1016/J.NEUROIMAGE.2011.06.023
Optical brain monitoring for operator training and mental workload assessment.
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TL;DR: Results indicate that fN IR measures are sensitive to mental task load and practice level, and provide evidence of the fNIR deployment in the field for its ability to monitor hemodynamic changes that are associated with relative cognitive workload changes of operators.
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About: This article is published in NeuroImage. The article was published on 02 Jan 2012. The article focuses on the topics: Workload & Neuroergonomics.
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Citations
fNIRS-based brain-computer interfaces: a review
Noman Naseer,Keum-Shik Hong +1 more
TL;DR: In this paper, the most common brain areas for fNIRS-based BCI are the primary motor cortex and prefrontal cortex, and the motor imagery tasks were preferred to motor execution tasks since possible proprioceptive feedback could be avoided.
State of science: mental workload in ergonomics
TL;DR: This work provides a general overview of the current state of affairs regarding the understanding, measurement and application of MWL in the design of complex systems over the last three decades, and discusses contemporary challenges for applied research.
Mental workload during n-back task-quantified in the prefrontal cortex using fNIRS.
TL;DR: Results show that measuring hemodynamic responses in the PFC with fNIRS, a non-invasive imaging modality, can be used to robustly quantify and classify mental workload.
Automaticity of walking: functional significance, mechanisms, measurement and rehabilitation strategies.
David J. Clark,David J. Clark +1 more
TL;DR: The objective of this article is to advance the science of automaticity of walking by consolidating evidence and identifying gaps in knowledge regarding: (a) functional significance ofautomaticity; (b) neurophysiology of automaticITY; (c) measurement of automaticities; (d) mechanistic factors that compromise automaticity; and (e) strategies for rehabilitation of automaticality.
Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS.
Mickaël Causse,Mickaël Causse,Zarrin K. Chua,Vsevolod Peysakhovich,Natalia del Campo,Natalia del Campo,Nadine Matton +6 more
TL;DR: The 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.
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