We show the potential of functional near-infrared spectroscopy for the discrimination of mental workloads during a cognitive task with two different levels of difficulty. Standard data analysis based on filtering and folding average procedures were carried out to locate those source-detector pairs sensitive to the activated cortical regions. On these channels we applied two classification algorith... read morems for the discrimination of mental workloads. Both algorithms showed a high percentage of successful classifications (>80%) on three over a total of four subjects where brain activation was detected. These results are comparable to standard scores found in the field of electroencephalography. Copyright 2010 Society of Photo-Optical Instrumentation Engineers (SPIE) One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.read less
A. Sassaroli, F. Zheng, M. Coutts, L. H. Hirshfield, A. Girouard, E. T. Solovey, R. J. K. Jacob, Y. Tong, B. deB. Frederick, S. Fantini, "Application of near-infrared spectroscopy for discrimination of mental workloads", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71741H (24 February 2009); doi: 10.1117/12.807737; http://dx.doi.org/10.1117/12.807737.