Examining the Neural Correlates of Incidental Facial Emotion Encoding Within the Prefrontal Cortex Using Functional Near-Infrared Spectroscopy
Previous neuroimaging research has implicated the prefrontal cortex (PFC) as a region of the brain that is vital for various aspects of emotion processing. The present study sought to examine the neural correlates of incidental facial emotion encoding, with regard to neutral and fearful faces, within the PFC. Thirty-nine healthy adults were presented briefly with neutral and fearful faces and the evoked hemodynamic oxygenation within the PFC was measured using 16-channel continuous-wave functional near-infrared spectroscopy. When viewing fearful as compared to neutral faces, participants demonstrated higher levels of activation within the right medial PFC. On the other hand, participants demonstrated lower levels of activation within the left medial PFC and left lateral PFC when viewing fearful faces, as compared to neutral faces.These findings are consistent with previous fMRI research, and suggest that fearful faces are linked to a neural response within the right medial PFC, whereas neutral faces appear to elicit a neural response within left medial and lateral areas of the PFC.
KeywordsfNIRS Prefrontal cortex Facial emotions Incidental encoding
The authors would like to thank Stefano I. Di Domenico for his assistance with statistical analysis. The authors would also like to thank the research team at the Clinical Neurosciences Laboratory at the University of Toronto Scarborough for data collection and processing.
- 8.Fusar-Poli, P., Placentino, A., Carletti, F., Landi, P., Abbamonte, M.: Functional atlas of emotional faces processing: a voxel-based meta-analysis of 105 functional magnetic resonance imaging studies. J. Psychiatry Neurosci. JPN 34(6), 418 (2009)Google Scholar
- 9.Wager, T.D., Barrett, L.F., Bliss-Moreau, E., Lindquist, K., Duncan, S., Kober, H., Mize, J.: The neuroimaging of emotion. Handb. Emot. 3, 249–271 (2008)Google Scholar
- 16.Ruocco, A.C., Rodrigo, A.H., Lam, J., Di Domenico, S.I., Graves, B., Ayaz, H.: A problem-solving task specialized for functional neuroimaging: validation of the Scarborough adaptation of the Tower of London (S-TOL) using near-infrared spectroscopy. Front. Hum. Neurosci. 8, 185 (2013)Google Scholar
- 18.Ayaz, H., Onaral, B., Izzetoglu, K., Shewokis, P.A., McKendrick, R., Parasuraman, R.: Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: Empirical examples and a technological development. Front. Hum. Neurosci. 7, 1–13 (2013). doi:10.3389/fnhum.2013.00871 CrossRefGoogle Scholar
- 21.Heller, A.S., Johnstone, T., Peterson, M.J., Kolden, G.G., Kalin, N.H., Davidson, R.J.: Increased prefrontal cortex activity during negative emotion regulation as a predictor of depression symptom severity trajectory over 6 months. JAMA Psychiatry 70(11), 1181–1189 (2013). doi:10.1001/jamapsychiatry.2013.2430 CrossRefGoogle Scholar
- 23.Sun, Y., Ayaz, H., Akansu, A.N.: Neural correlates of affective context in facial expression analysis: a simultaneous EEG-fNIRS study. In: Paper Presented at the 3rd IEEE GlobalSIP Conference, Symposium on Signal Processing Challenges in Human Brain Connectomics, Orlando, FL (2015)Google Scholar
- 26.Parasuraman, R., Rizzo, M.: Neuroergonomics: The Brain at Work. Oxford University Press, New York (2007)Google Scholar
- 29.Ayaz, H., Izzetoglu, M., Platek, S.M., Bunce, S., Izzetoglu, K., Pourrezaei, K., Onaral, B.: Registering fNIR data to brain surface image using MRI templates. In: Conference Proceedings of the IEEE Engineering in Medicine and Biology Society, pp. 2671–2674 (2006). doi:10.1109/IEMBS.2006.260835
- 31.Ayaz, H.: Functional near infrared spectroscopy based brain computer interface. (Ph.D. thesis), Drexel University, Philadelphia, PA (2010)Google Scholar