TY - GEN
T1 - Variation is the Norm
T2 - 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
AU - Singh, Ashutosh
AU - Westlin, Christiana
AU - Eisenbarth, Hedwig
AU - Losin, Elizabeth A.R.
AU - Andrews-Hanna, Jessica R.
AU - Wager, Tor D.
AU - Satpute, Ajay B.
AU - Barrett, Lisa Feldman
AU - Brooks, Dana H.
AU - Erdogmus, Deniz
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - For the last several decades, emotion research has attempted to identify a biomarker or consistent pattern of brain activity to characterize a single category of emotion (e.g., fear) that will remain consistent across all instances of that category, regardless of individual and context. In this study, we investigated variation rather than consistency during emotional experiences while people watched video clips chosen to evoke instances of specific emotion categories. Specifically, we developed a sequential probabilistic approach to model the temporal dynamics in a participant's brain activity during video viewing. We characterized brain states during these clips as distinct state occupancy periods between state transitions in blood oxygen level dependent (BOLD) signal patterns. We found substantial variation in the state occupancy probability distributions across individuals watching the same video, supporting the hypothesis that when it comes to the brain correlates of emotional experience, variation may indeed be the norm.
AB - For the last several decades, emotion research has attempted to identify a biomarker or consistent pattern of brain activity to characterize a single category of emotion (e.g., fear) that will remain consistent across all instances of that category, regardless of individual and context. In this study, we investigated variation rather than consistency during emotional experiences while people watched video clips chosen to evoke instances of specific emotion categories. Specifically, we developed a sequential probabilistic approach to model the temporal dynamics in a participant's brain activity during video viewing. We characterized brain states during these clips as distinct state occupancy periods between state transitions in blood oxygen level dependent (BOLD) signal patterns. We found substantial variation in the state occupancy probability distributions across individuals watching the same video, supporting the hypothesis that when it comes to the brain correlates of emotional experience, variation may indeed be the norm.
UR - http://www.scopus.com/inward/record.url?scp=85122511727&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85122511727&partnerID=8YFLogxK
U2 - 10.1109/EMBC46164.2021.9630852
DO - 10.1109/EMBC46164.2021.9630852
M3 - Conference contribution
C2 - 34892486
AN - SCOPUS:85122511727
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 6003
EP - 6007
BT - 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 November 2021 through 5 November 2021
ER -