A Linear Regression Model for Estimating Anxiety Index Using Wide Area Frontal Lobe Brain Blood Volume
Major depressive disorder (MDD) is one of the most common mental illnesses today. It is believed to be caused by a combination of several factors, including stress. Stress can be quantitatively evaluated using the State-Trait Anxiety Inventory (STAI), one of the best indices to evaluate anxiety. Although STAI scores are widely used in applications ranging from clinical diagnosis to basic research, the scores are calculated based on a self-reported questionnaire. An objective evaluation is required because the subject may intentionally change his/her answers if multiple tests are carried out. In this article, we present a modified index called the “multi-channel Laterality Index at Rest (mc-LIR)” by recording the brain activity from a wider area of the frontal lobe using multi-channel functional near-infrared spectroscopy (fNIRS). The presented index aims to measure multiple positions near the Fpz defined by the international 10-20 system positioning. Using 24 subjects, the dependencies on the number of measuring points used to calculate the mc-LIR and its correlation coefficients with the STAI scores are reported. Furthermore, a simple linear regression was performed to estimate the STAI scores from mc-LIR. The cross-validation error is also reported. The experimental results show that using multiple positions near the Fpz will improve the correlation coefficients and estimation than those using only two positions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129580Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 698
 T. L. Roth, F. D. Lubin, M. Sodhi, J. E. Kleinman (2009). Epigenetic mechanisms in schizophrenia. Biochimica et Biophysica Acta (BBA)-General Subjects, 1790(9), 869-877.
 W. Ishikawa., M. Sato, Y. Fukuda, T. Matsumoto, N. Takemura, K. Sakatani (2013). New method of analyzing NIRS data from prefrontal cortex at rest. Oxygen Transport to Tissue, 789 (35), 391-397.
 W. Ishikawa., M. Sato, Y. Fukuda, T. Matsumoto, N. Takemura, K. Sakatani (2014). Correlation between asymmetry of spontaneous oscillation of hemodynamic changes in the prefrontal cortex and anxiety levels: A near-infrared spectroscopy study, J. of Biomed Optics, Vol. 19(2), pp. 027005-1--027005-7.
 Y. Fukuda, Y. Ida, T. Matsumoto, N. Takemura, K. Sakatani. (2014). A bayesian algorithm for anxiety index prediction based on cerebral blood oxygenation in the prefrontal cortex measured by near infrared spectroscopy. IEEE Journal of Translational Engineering in Health and Medicine, 2, 1-10.
 T. Matsumoto, Y. Murayama, K. Sakatani (2016). Bootstrap Analyses of Anxiety Index Measuring the Prefrontal Cortex of Subjects at Rest with Two-Channel Portable NIRS Device. International Journal of Human–Computer Interaction, DOI:10.1080/10447318.2016.1251694 pp. 1-11.