EFFECTS OF FUNCTIONAL CHANGES IN THE FOREBRAIN ON HUMAN FACIAL MUSCLE MOVEMENTS
Keywords:
forebrain, facial expressions, facial muscle movements, cortical control, emotion regulation, social behavior, neural circuits, prefrontal cortex, amygdala, dopamine, neurotransmittersAbstract
Facial expressions are a fundamental aspect of human communication, conveying a vast range of emotions, intentions, and social signals. The ability to recognize and produce facial expressions is a critical skill that humans have evolved to facilitate social interaction and survival. The neural mechanisms that underlie facial expression are complex and involve multiple brain regions and neural circuits. In particular, the forebrain plays a crucial role in controlling facial expressions by modulating the activity of facial muscles. This article provides an overview of the effects of functional changes in the forebrain on human facial muscle movements, focusing on the neural circuits and mechanisms involved
References
"Impairment of Facial Expression Recognition in Amyotrophic Lateral Sclerosis: Contribution of Gyrus Precentralis and Gyrus Rectus Dysfunction" (Cistaro et al., 2020)
Adolphs, R. (2002). Neural systems for recognizing emotion. Current opinion in neurobiology, 12(2), 169-177.
"Facial Mimicry and Emotion Recognition in Individuals with Schizophrenia" (Kohler et al., 2010)
Ekman, P., & Friesen, W. V. (1978). Facial Action Coding System: A technique for the measurement of facial movement. Consulting Psychologists Press.
"Cortical and Subcortical Mechanisms of Emotion Regulation: View from the Human Brain" (Buhle et al., 2014)
Hennenlotter, A., Schroeder, U., Erhard, P., Castrop, F., Haslinger, B., Stoecker, D., ... & Seitz, R. J. (2005). A common neural basis for receptive and expressive communication of pleasant facial affect. NeuroImage, 26(2), 581-591.
Kessler, H., Doyen-Waldecker, C., Hofer, H., Traue, H. C., Abler, B., & Vossel, G. (2011). Neural correlates of the perception of dynamic versus static facial expressions of emotion. Psychosomatic Medicine, 73(9), 756-762.
Lavie, N., Ro, T., & Russell, C. (2003). The role of perceptual load in processing distractor faces. Psychological Science, 14(5), 510-515.
"Dysfunction of the Cortico-Basal Ganglia Circuitry and Facial Emotion Recognition in Huntington's Disease" (Fusar-Poli et al., 2018)
Rinn, W. E. (1984). The neuropsychology of facial expression: A review of the neurological and psychological mechanisms for producing facial expressions. Psychological bulletin, 95(1), 52-77.
Sato, W., & Yoshikawa, S. (2007). Spontaneous facial mimicry in response to dynamic facial expressions. Cognition, 104(1), 1-18.
Williams, L. M., Palmer, D., Liddell, B. J., Song, L., & Gordon, E. (2006). The ‘when’ and ‘where’ of perceiving signals of threat versus non-threat. NeuroImage, 31(1), 458-467.
Yang, J., Bellgowan, P. S., & Martin, A. (2012). Threat, domain-specificity and the human amygdala. Neuropsychologia, 50(11), 2566-2572.
Zald, D. H. (2003). The human amygdala and the emotional evaluation of sensory stimuli. Brain Research Reviews, 41(1), 88-123.
Z. A. Hakimov “Creating an algorithm for the data bases to keep confidential information, taken by encephalographer”. ICICST-2022 (Tashkent) materials, 57-64
Zohid A. Hakimov, A. Medatov, V. Kotetunov, Y. Kravtsov, A. Abdullaev. “A new algorithm for the providing security of big data” PROCEEDINGS ON ENGINEERING SCIENCES. Faculty of Engineering, University of Kragujevac ISSN: 2620-2832. Volume 5 Number 2, Year – 2023 https://pesjournal.net/forthcoming.php#
