PSYE402 Methodology of Psychophysiological Experiments
Annotation:
This course introduces the main psychophysiological methods used in the fields of psychology and neuroscience to assess how the central nervous system works in relation to various cognitive processes.
The course covers several neuroimaging techniques and psychophysiological methods, such as structural Magnetic Resonance Imaging (MRI), functional MRI (fMRI), functional Near-Infrared Spectroscopy (fNIRS), Eye-Tracking, Electro Encephalography (EEG), Magneto Encephalography (MEG), and Polygraph recordings (skin-galvanic potentials, Electro-Cardiogram (ECG), Electro-Myogram (EMG)).
The course specifically focuses on the process of planning, conducting, and analyzing data from psychophysiological experiments.
Lecturers:
Prof. Maurice Grinberg, PhD
Asst. Prof. Armine Janyan, PhD
Assist. Prof. Evgenia Hristova, PhD
Asst. Prof Veselina Kadreva, PhD
Asst. Prof. Ivo Popivanov, PhD
Course Description:
Competencies:
Upon the successful completion of the course the students will:
KNOW:
the main psychophysiological methods for studying human cognitive processes
the main neuroimaging methods for studying human cognitive processes
BE ABLE TO:
critically analyze the advantages and disadvantages of each method
understand and evaluate scientific neuroimaging and psychophysiological studies
Prerequisites:
• An introductory course in neuroscience (PSYE209, PSYE210, PSYE301)
• An introductory course in experimental psychology/cognitive science (PSYE101, PSYE102, PSYE211, PSYE212)
• A course in statistics (PSYE107, PSYE108)
Types:
Full-time Programmes
Types of Courses:
Lecture
Language of teaching:
English
Topics:
- Welcome & Introduction: Psychophysiological Methods
- Eye Tracking 101
- Parasympathetic Nervous System (PNS): Using autonomic measures of physiological regulation to explore childhood behavior problems.
- Structural Magnetic Resonance Imaging (sMRI) 101
- Functional Magnetic Resonance Imaging (fMRI): Studying the human visual cortex with fMRI
- fMRI and Magnetoencephalography (MEG): Elucidating information processing during language comprehension via decoding and encoding analyses of fMRI and MEG recordings
- MEG: How Familiarity and Expectation Modulate Neural Activity in the Visual System (An MEG Study)
- fMRI: Studying dissociations and interactions between large-scale brain networks and regions with functional MRI
- Electroencephalography (EEG): Measures that travel well: Electroencephalography (EEG) as a tool for studying development internationally
- EEG: Animal Models and Electrodes
- functional Near-Infrared Spectroscopy (fNIRS): Imaging the Brain in Real-World Social Environments
- EEG Practical Exercise w/ Ivo Popivanov at 16:20 in Rm. 207, Corpus I
- Transcranial Magnetic Stimulation (TMS) 101
- Student Presentations (Myth-Busting)
- TEST
Bibliography:
Anderson, A. J., & Perone, S. (2018). Developmental change in the resting state electroencephalogram: Insights into cognition and the brain. Brain and Cognition, 126, 40–52. https://doi.org/10.1016/j.bandc.2018.08.001
fMRI of human visual cortex - Nature
J.L. Orquin & K. Holmqvist (Forthcoming) A Primer on Eye Tracking Methodology for Behavioral Sciences. In Handbook of Process Tracing Methods, M. Schulte-Mecklenbeck, A. Kühberger, & J. Johnson (Eds.). Routledge
Manahova, M., Mostert, P., Kok, P., Schoffelen, J. ., & Lange, F. P. de. (2018). Stimulus familiarity and expectation jointly modulate neural activity in the visual ventral stream. Journal of Cognitive Neuroscience, 30(9), 1366–1377. https://doi.org/10.1162/jocn_a_01281
McDonald, N. M., & Perdue, K. L. (2018). The infant brain in the social world: Moving toward interactive social neuroscience with functional near-infrared spectroscopy. Neuroscience & Biobehavioral Reviews, 87, 38-49.
Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K. M., Malave, V. L., Mason, R. A., & Just, M. A. (2008). Predicting human brain activity associated with the meanings of nouns. Science, 320(5880), 1191-1195.
Perentos, N., Nicol, A. U., Martins, A. Q., Stewart, J. E., Taylor, P., & Morton, A. J. (2017). Techniques for chronic monitoring of brain activity in freely moving sheep using wireless EEG recording. Journal of neuroscience methods, 279, 87–100. https://doi.org/10.1016/j.jneumeth.2016.11.010
Pinti, P., Tachtsidis, I., Hamilton, A., Hirsch, J., Aichelburg, C., Gilbert, S., & Burgess, P. W. (2020). The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience. Annals of the New York Academy of Sciences, 1464(1), 5.
Saxe, R. (2006). Why and how to study Theory of Mind with fMRI. Brain research, 1079(1), 57-65
Short introduction to MRI Physics for Neuroimaging by Chappell et al - Oxford Neuroimaging Primers
Sudre, G., Pomerleau, D., Palatucci, M., Wehbe, L., Fyshe, A., Salmelin, R., & Mitchell, T. (2012). Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage, 62(1), 451-463.
Symms, M., Jäger, H. R., Schmierer, K., & Yousry, T. A. (2004). A review of structural magnetic resonance neuroimaging. Journal of Neurology, Neurosurgery and Psychiatry, 75(9), 1235–1244. https://doi.org/10.1136/jnnp.2003.032714
Tarullo, A. R., Obradović, J., Keehn, B., Rasheed, M. A., Siyal, S., Nelson, C. A., & Yousafzai, A. K. (2017). Gamma power in rural Pakistani children: Links to executive function and verbal ability. Developmental Cognitive Neuroscience, 26, 1–8. https://doi.org/10.1016/j.dcn.2017.03.007"
Wagner, N. J., & Waller, R. (2020). Leveraging parasympathetic nervous system activity to study risk for psychopathology: The special case of callous-unemotional traits. Neuroscience & Biobehavioral Reviews
Wagner, N. J., Holochwost, S., Lynch, S., Mills-Koonce, R., & Propper, C. (2021). Characterizing change in vagal tone during the first three years of life: A systematic review and empirical examination across two longitudinal samples. Neuroscience & Biobehavioral Reviews.
Assessment:
Participation Assignment x2 (20% x 2 = 40%)
Myth-Busting Presentation = 30%
Test = 30%