Statistical analysis techniques for quantifying brain activity during naturalistic paradigms
Seminar by Enrico Glerean, Senior Research Fellow, International Laboratory of Social Neurobiology, Institute of Cognitive Neurosciences, National Research University Higher School of Economics
The use of naturalistic stimuli while collecting data about the brain (for example, watching a feature film, listening to an audiobook, listening to music) has proven to be a very powerful tool for studying brain activity in a living setting. However, the additional uncontrollable complexity of naturalistic stimuli has posed new challenges for developing methods for understanding brain data as measured by naturalistic paradigms.In this talk, Enrico Glerean presented techniques such as intersubject correlation, intersubject phase synchronization, intersubject functional connectivity, and intersubject similarity analysis. These techniques have proven to be very useful in understanding the similarities and differences between individual brains processing complex naturalistic stimuli in healthy and clinical populations.
Watch the talk: https://us02web.zoom.us/rec/share/2_drd5bh0kpOfM_n-k_WapAIDMe4X6a81Cgf_PYOxEsqoMRU99MU-5DcbCSUhuMW