The emotion-elicited late positive potential is stable across five testing sessions.
Anna WeinbergKelly A CorreaElizabeth S StevensStewart A ShankmanPublished in: Psychophysiology (2021)
Many studies have examined associations between neural and behavioral markers of attention to emotion and individual differences in affective functioning. However, the majority of these studies are cross-sectional, and examine associations between brain, behavior, and individual differences at one or two time-points, limiting our understanding of the extent to which these neural responses reflect trait-like patterns of attention. The present study used the Emotional Interrupt paradigm, and examined the stability and trajectory of behavioral (i.e., reaction time to targets following task-irrelevant appetitive, neutral, and aversive images), and neural responses to images (i.e., the late positive potential or LPP), across five sessions separated by one week in 86 individuals. Additionally, we examined the extent to which the LPP and behavioral measures were sensitive to naturally occurring daily fluctuations in positive and negative affect. Results indicate that, though the magnitude of the conditional LPP waveforms decreased over time, the degree of emotional modulation (i.e., differentiation of emotional from neutral) did not; in fact, differentiation of appetitive from neutral increased over time. Behavioral responses were similarly stable across sessions. Additionally, we largely did not observe significant effects of state positive and negative affect on the LPP or behavior over time. Finally, the LPP elicited by appetitive images significantly predicted reaction time to targets following these images. These data suggest that neural and behavioral markers of attention to motivationally salient cues may be trait-like in nature, and may be helpful in future studies seeking to identify markers of vulnerability for diverse forms of psychopathology.
Keyphrases
- deep learning
- convolutional neural network
- working memory
- optical coherence tomography
- cross sectional
- case control
- autism spectrum disorder
- depressive symptoms
- genome wide
- mental health
- physical activity
- climate change
- human health
- artificial intelligence
- electronic health record
- gene expression
- borderline personality disorder
- study protocol