I study memory using a combination of cognitive psychology, neuroimaging, and computational modeling methods. I am particularly interested in what factors makes some experiences more memorable than others and how these influences can manifest in future behavior, such as decision making. I also specialize in characterizing inter-individual differences in brain morphology.
Memory does not serve as a veridical recording of prior experiences that can be ‘played back.’ Instead, many factors can lead some experiences to be more memorable than others. For instance, some experiences are more valuable in informing future behavior and should be selectively prioritized. Such experiences include those that automatically evoke reward-, emotion-, or motor-related processes. Biases in memory are particularly relevant if they manifest themselves in future behavior, such as decision making.
Palombo, D. J., Te, A. A.*, Checknita, K. J.*, & Madan, C. R. (2021). Exploring the facets of emotional episodic memory: Remembering 'what', 'when', and 'which'. Psychological Science, 32(7), 1104-1114. doi:10.1177/0956797621991548
Palombo, D. J., Elizur, E.*, Tuen, Y. J.*, Te, A. A., & Madan, C. R. (2021). Transfer of negative valence in an episodic memory task. Cognition, 217, 104874. doi:10.1016/j.cognition.2021.104874
Madan, C. R., Spetch, M. L., Machado, F. D. S., Mason, A., & Ludvig, E. A. (2021). Encoding context determines risky choice. Psychological Science, 32(5), 743-754. doi:10.1177/0956797620977516
Madan, C. R., Ludvig, E. A., & Spetch, M. L. (2019). Comparative inspiration: From puzzles with pigeons to novel discoveries with humans in risky choice. Behavioural Processes, 160, 10-19. doi:10.1016/j.beproc.2018.12.009
Madan, C. R.*, Fujiwara, E.*, Caplan, J. B., & Sommer, T. (2017). Emotional arousal impairs association-memory: Roles of amygdala and hippocampus. NeuroImage, 156, 14-28. doi:10.1016/j.neuroimage.2017.04.065
Structural MRIs make it apparent that there are both clear inter-individual differences in brain structure, while also general population consistencies. Examining brain morphology can serve as a complementary neuroimaging approach to fMRI that is not influenced by some systematic biases (e.g., age-related changes in vasculature) while also potentially directly providing novel insights into brain-behavior relationships.
McDonough, I. M., & Madan, C. R. (2021). Structural complexity is negatively associated with brain activity: A novel multimodal test of compensation theories of aging. Neurobiology of Aging, 98, 185-196. doi:10.1016/j.neurobiolaging.2020.10.023
Madan, C. R., & Kensinger, E. A. (2018). Predicting age from cortical structure across the lifespan. European Journal of Neuroscience, 47, 399-416. doi:10.1111/ejn.13835
Madan, C. R., & Kensinger, E. A. (2016). Cortical complexity as a measure of age-related brain atrophy. NeuroImage, 134, 617-629. doi:10.1016/j.neuroimage.2016.04.029
An important aspect of research is to improve our methodological rigor, along with asking more precise research questions. Through collaborations, I have also done work where my primary goal has been to improve the research methods themselves--either as the direct goal (e.g., developing a novel test of movement imagery) or indirectly (e.g., designing psychophysics stimuli; using formal model selection techniques to more precisely test research questions).
For more details on projects explicitly designed for methods development, see here.
Madan, C. R., Harrison, T., & Mathewson, K. E. (2018). Noncontact measurement of emotional and physiological changes in heart rate from a webcam. Psychophysiology, 55(4), e13005. doi:10.1111/psyp.13005
Madan, C. R., Bayer, J., Gamer, M., Lonsdorf, T., & Sommer, T. (2018). Visual complexity and affect: Ratings reflect more than meets the eye. Frontiers in Psychology, 8, 2368. doi:10.3389/fpsyg.2017.02368
Madan, C. R., & Singhal, A. (2013). Introducing TAMI: An objective test of ability in movement imagery. Journal of Motor Behavior, 45(2), 153-166. doi:10.1080/00222895.2013.763764