Investigation of Functional Near Infrared Spectroscopy in Evaluation of Pilot Expertise Acquisition

Functional Near-Infrared (fNIR) spectroscopy is an optical brain imaging technology that enables assessment of brain activity through the intact skull in human subjects. fNIR systems developed during the last decade allow for a rapid, non-invasive method of measuring the brain activity of a subject while conducting tasks in realistic environments. This paper examines the hemodynamic changes associated with expertise development during C-130j simulated flying missions.

[1]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[2]  K. Izzetoglu,et al.  Registering fNIR Data to Brain Surface Image using MRI templates , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  Hasan Ayaz,et al.  Optical brain monitoring for operator training and mental workload assessment , 2012, NeuroImage.

[4]  N. Rinehart,et al.  Interpersonal motor resonance in autism spectrum disorder: evidence against a global “mirror system” deficit , 2013, Front. Hum. Neurosci..

[5]  Adelbert Ames,et al.  CNS energy metabolism as related to function , 2000, Brain Research Reviews.

[6]  B. Chance,et al.  Cognition-activated low-frequency modulation of light absorption in human brain. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[7]  D. V. von Cramon,et al.  Temporal properties of the hemodynamic response in functional MRI , 1999, Human brain mapping.

[8]  Ulf Ahlstrom,et al.  Cognitive Workload and Learning Assessment During the Implementation of a Next-Generation Air Traffic Control Technology Using Functional Near-Infrared Spectroscopy , 2014, IEEE Transactions on Human-Machine Systems.

[9]  S. Takashima,et al.  Journal of Cerebral Blood Flow and Metabolism Human Visual Cortical Function during Photic Stimulation Monitoring by Means of Near-infrared Spectroscopy Subjects and Methods , 2022 .

[10]  F. Jöbsis.  Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.

[11]  D. Delpy,et al.  System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination , 1988, Medical and Biological Engineering and Computing.

[12]  A. Villringer,et al.  Near infrared spectroscopy (NIRS): A new tool to study hemodynamic changes during activation of brain function in human adults , 1993, Neuroscience Letters.

[13]  John G Milton,et al.  On the Road to Automatic: Dynamic Aspects in the Development of Expertise , 2004, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[14]  R. Buxton,et al.  Modeling the hemodynamic response to brain activation , 2004, NeuroImage.

[15]  B. Chance,et al.  A novel method for fast imaging of brain function, non-invasively, with light. , 1998, Optics express.

[16]  R. Parasuraman,et al.  Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: empirical examples and a technological development , 2013, Front. Hum. Neurosci..

[17]  T. Hammond,et al.  Video games and surgical ability: a literature review. , 2010, Journal of surgical education.

[18]  Y. Hoshi.  Functional near-infrared optical imaging: utility and limitations in human brain mapping. , 2003, Psychophysiology.

[19]  M. Tamura,et al.  Dynamic multichannel near-infrared optical imaging of human brain activity. , 1993, Journal of applied physiology.

[20]  Hasan Ayaz,et al.  Using Brain Activity to Predict Task Performance and Operator Efficiency , 2012, BICS.

[21]  Hasan Ayaz,et al.  Uav operators workload assessment by optical brain imaging technology (fnir) , 2015 .

[22]  K. Izzetoglu,et al.  Monitoring expertise development during simulated UAV piloting tasks using optical brain imaging , 2012, 2012 IEEE Aerospace Conference.

[23]  E. Gratton,et al.  Measurement of brain activity by near-infrared light. , 2005, Journal of biomedical optics.

[24]  S. Bunce,et al.  Functional near-infrared neuroimaging , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[25]  D. Hood,et al.  Shades of gray matter: noninvasive optical images of human brain responses during visual stimulation. , 1995, Psychophysiology.

[26]  Pierre J. Magistretti,et al.  Cellular bases of functional brain imaging: insights from neuron-glia metabolic coupling 1 1 Published on the World Wide Web on 12 October 2000. , 2000, Brain Research.

[27]  Archana K. Singh,et al.  Exploring the false discovery rate in multichannel NIRS , 2006, NeuroImage.

[28]  Hasan Ayaz,et al.  Applications of Functional Near Infrared Imaging: Case Study on UAV Ground Controller , 2011, HCI.

[29]  Mamoru Tamura,et al.  Non-synchronous behavior of neuronal activity, oxidative metabolism and blood supply during mental tasks in man , 1994, Neuroscience Letters.

[30]  A. Villringer,et al.  Non-invasive optical spectroscopy and imaging of human brain function , 1997, Trends in Neurosciences.

[31]  D. Boas,et al.  Non-invasive neuroimaging using near-infrared light , 2002, Biological Psychiatry.