Spring 2022, PSYC 888: Affective (Cognitive) Neuroscience

Instructor: Dr. Caitlin M. Hudac (she/her/hers)
Email: chudac [at] mailbox [dot] sc.edu 
Student hours: Before class and as needed by appointment
Required text:
None -- only primary source readings
Last semester's website

Course description: This course will overview of the principles, theory, and applications of human affective neuroscience. The course introduce theory and research in major areas of affective neuroscience, including cross-level integration of biological data, including neural and physiological data. The course will describe laboratory techniques and methodological principles in human affective neuroscience methods and will include demonstrations. Readings will include introductions to topics and relevant selections from the current literature. The basis of the course will involve a combination of lecture and discussions co-facilitated by students and the professor.

Syllabus for Spring 2023:
Final syllabus 

​Planned schedule of topics, reading, and assignment due dates

C01 - 1/9:  Introduction to course; Importance of affective neuroscience; What is emotion? What is affect? [Slides]
NO CLASS 1/16: SERVICE DAY
C02 - 1/23: (1) Discussion [led by S.O.] - major theories

• Leshin, J. C., & Lindquist, K. A. (2020). Neuroimaging of emotion dysregulation.
• Dalgleish, T., Dunn, B. D., & Mobbs, D. (2009). Affective neuroscience: Past, present, and future. Emotion Review, 1(4), 355-368.
• Barrett, L. F., & Satpute, A. B. (2019). Historical pitfalls and new directions in the neuroscience of emotion. Neuroscience letters, 693, 9-18.
• Spunt, R. P., & Adolphs, R. (2019). The neuroscience of understanding the emotions of others. Neuroscience letters, 693, 44-48.
• Consider reading other articles in the Neuroscience Letters special issue: Functional Neuroimaging of the Emotional Brain 

C02 - 1/23: (2) Anatomy of feelings: Autonomic nervous system and neuroanatomy [Slides]
C03 - 1/30: (1) Discussion  [led by J.W.] - anatomy/systems;

• Pessoa, L. (2017). A network model of the emotional brain. Trends in cognitive sciences, 21(5), 357-371.
• Lindquist, K. A., & Barrett, L. F. (2012). A functional architecture of the human brain: emerging insights from the science of emotion. Trends in cognitive sciences, 16(11), 533-540.
• Kontaris, I., East, B. S., & Wilson, D. A. (2020). Behavioral and neurobiological convergence of odor, mood and emotion: A review. Frontiers in Behavioral Neuroscience, 14, 35.
• Feinstein, J. S., Adolphs, R., Damasio, A., & Tranel, D. (2011). The human amygdala and the induction and experience of fear. Current biology, 21(1), 34-38.

C03 - 1/30: (2) Role of cognition and attention [Slides]
Short essay assignment opened 1/30
C04 - 2/6: (1) Discussion [led by J.C.] - cognition & attention 

• LaBar, K. S., & Cabeza, R. (2006). Cognitive neuroscience of emotional memory. Nature Reviews Neuroscience, 7(1), 54-64.
• Ochsner, K. N., & Gross, J. J. (2005). The cognitive control of emotion. Trends in cognitive sciences, 9(5), 242-249.
• Plass, J. L., & Kalyuga, S. (2019). Four ways of considering emotion in cognitive load theory. Educational Psychology Review, 31(2), 339-359.
• Oliveira, L., Mocaiber, I., David, I. A., Erthal, F., Volchan, E., & Pereira, M. G. (2013). Emotion and attention interaction: a trade-off between stimuli relevance, motivation and individual differences. Frontiers in Human Neuroscience, 7, 364.

C04 - 2/6:  (2) BOLD signal: fMRI, fNIRS [Slides]
C05 - 2/13: (1) Discussion [led by X.Y.] - fMRI 

• Tillman, R. M., Stockbridge, M. D., Nacewicz, B. M., Torrisi, S., Fox, A. S., Smith, J. F., & Shackman, A. J. (2018). Intrinsic functional connectivity of the central extended amygdala. Human brain mapping, 39(3), 1291-1312.
• Zhang, K., Du, X., Liu, X., Su, W., Sun, Z., Wang, M., & Du, X. (2022). Gender differences in brain response to infant emotional faces. BMC neuroscience, 23(1), 1-13.

C05 - 2/13: (2) Discussion [led by Caitlin] - fNIRS​

• Di Lorenzo, R., Blasi, A., Junge, C., Van den Boomen, C., Van Rooijen, R., & Kemner, C. (2019). Brain responses to faces and facial expressions in 5-month-olds: an fNIRS study. Frontiers in psychology, 10, 1240.
• Pirazzoli, L., Sullivan, E., Xie, W., Richards, J. E., Bulgarelli, C., Lloyd-Fox, S., ... & Nelson III, C. A. (2022). Association of psychosocial adversity and social information processing in children raised in a low-resource setting: an fNIRS study. Developmental Cognitive Neuroscience, 56, 101125.

C06 - 2/20: Basic physiology, eye tracking, electrophysiology (EEG)
C07 - 2/27: CLASS HELD AT IMB, 1800 Gervais Street; (1) Hands-on demonstrations
C07 - 2/27: (2) Discussion [led by S.N.] - ET/EEG. Note: I recommend reading in this order:

1. Amodio, D. M., Bartholow, B. D., & Ito, T. A. (2014). Tracking the dynamics of the social brain: ERP approaches for social cognitive and affective neuroscience. Social Cognitive and Affective Neuroscience, 9(3), 385-393.
2. Faja, S., Dawson, G., Aylward, E., Wijsman, E. M., & Webb, S. J. (2016). Early event-related potentials to emotional faces differ for adults with autism spectrum disorder and by serotonin transporter genotype. Clinical Neurophysiology, 127(6), 2436-2447.
3. Farrell, J., Conte, S., Barry‐Anwar, R., & Scott, L. S. (2023). Face race and sex impact visual fixation strategies for upright and inverted faces in 3-to 6-year-old children. Developmental Psychobiology, 65(2), e22362.

Short essay due 2/27 @ 11:59 pm ET; Short exam opened  2/27
NO CLASS 3/6 - SPRING BREAK
C08 - 3/13: (1) Special discussion topic TBD
C08 - 3/13: (2) Elicitations of affective experiences
C09 - 3/20: (1) Discussion [led by J.S.] - elicitations

• Sambuco, N. (2022). fMRI replicability during emotional scene viewing: Functional regions and sample size. Psychophysiology, 59(6), e14000.
• Mischkowski, D., Palacios-Barrios, E. E., Banker, L., Dildine, T. C., & Atlas, L. Y. (2019). Pain or nociception? Subjective experience mediates the effects of acute noxious heat on autonomic responses-corrected and republished. Pain, 160(6), 1469.
• Dijkhuis, R. R., Ziermans, T., van Rijn, S., Staal, W., & Swaab, H. (2019). Emotional arousal during social stress in young adults with autism: Insights from heart rate, heart rate variability and self-report. Journal of autism and developmental disorders, 49(6), 2524-2535.
• Engen, H. G., Kanske, P., & Singer, T. (2017). The neural component-process architecture of endogenously generated emotion. Social cognitive and affective neuroscience, 12(2), 197-211.

C09 - 3/20: (2) Emotion and affective regulation
C10 - 3/27: (1) Discussion - regulation
C10 - 3/27: (2) Biofeedback; Polysomnography/sleep; Response to stress and interactions with health 
C11 - 4/4: (1) Discussion [led by M.F.] - stress/health

• Simon, E. B., Vallat, R., Barnes, C. M., & Walker, M. P. (2020). Sleep loss and the socio-emotional brain. Trends in Cognitive Sciences, 24(6), 435-450

C11 - 4/4: (2) Developmental considerations of the affective/emotional brain
C12 - 4/10: (1) Discussion  [led by A.F.] - development
C12 - 4/10: (2) Love & Cultural considerations
Short exam due 4/10 @ 11:59 pm ET; Drafts of final paper due 4/10 for preliminary grade (optional)
C13 - 4/17: (1) Discussion  [led by A.W.] - love & culture
C13 - 4/17: (2) Unique challenges in affective neuroscience
C14 - 4/24: Student presentations 
Final papers due Thursday 4/27 @ 10 am ET
Supplemental methods papers:

• ​Yücel, M. A., Lühmann, A. V., Scholkmann, F., Gervain, J., Dan, I., Ayaz, H., ... & Wolf, M. (2021). Best practices for fNIRS publications. Neurophotonics, 8(1), 012101.
• Dubois, J., & Adolphs, R. (2016). Building a science of individual differences from fMRI. Trends in cognitive sciences, 20(6), 425-443.

• ​Carter, B. T., & Luke, S. G. (2020). Best practices in eye tracking research. International Journal of Psychophysiology, 155, 49-62.
• Egger, M., Ley, M., & Hanke, S. (2019). Emotion recognition from physiological signal analysis: A review. Electronic Notes in Theoretical Computer Science, 343, 35-55.

• ​Hinojosa, J. A., Mercado, F., & Carretié, L. (2015). N170 sensitivity to facial expression: A meta-analysis. Neuroscience & Biobehavioral Reviews, 55, 498-509.
• Webb, S. J., Bernier, R., Henderson, H. A., Johnson, M. H., Jones, E. J., Lerner, M. D., ... & Westerfield, M. (2015). Guidelines and best practices for electrophysiological data collection, analysis and reporting in autism. Journal of autism and developmental disorders, 45(2), 425-443.
• EEG/ERP Ref Guide.