In Biological psychiatry ; h5-index 105.0
BACKGROUND : Emotion regulation (ER) processes help support well-being, but ineffective ER is implicated in several psychiatric disorders. Engaging ER flexibly by going online and offline as needs and capacities shift may be more effective than engaging ER rigidly across time. Here, we sought to observe the neural temporal dynamics of an ER process, reappraisal, during regulation of responses to negative memories in healthy control subjects (n = 33) and subjects with major depressive disorder (n = 36).
METHODS : To track the temporal dynamics of reappraisal neural systems, we used a functional magnetic resonance imaging neural decoding approach. In task 1, subjects explicitly engaged reappraisal on instruction in response to aversive images, and we used this task to develop the decoder for detecting reappraisal. In task 2, subjects experienced negative autobiographical memories from a distant (third person, ER condition) or immersed (first person, control condition) perspective.
RESULTS : The neural decoder, trained to detect reappraisal in task 1, predicted greater reappraisal occurring during the task 2 distance versus immerse trials and was engaged more intensely during memories that were rated as being more negative. Across time, decoder output manifested a temporal dynamic of early engagement followed by disengagement. These results were replicated in an independent subject dataset (n = 59). Relative to healthy control subjects, subjects with major depressive disorder had a comparable initial increase in decoder engagement at the beginning of the trial but an attenuated decrease at the end.
CONCLUSIONS : Subjects with major depressive disorder evidenced a more rigid neural dynamic of reappraisal compared with healthy control subjects. Rigid ER may indicate diminished ability to flexibly and effectively regulate emotion.
Schneck Noam, Herzog Sarah, Lu Jun, Yttredahl Ashley, Ogden R Todd, Galfalvy Hanga, Burke Ainsley, Stanley Barbara, Mann J John, Ochsner Kevin N
2023-Feb-01
Emotion regulation, Machine learning, Major depressive disorder, Neural decoding, Temporal dynamics, fMRI
