Poster No:
770
Submission Type:
Abstract Submission
Authors:
Ryan Yan1, Leili Mortazavi1, Brian Knutson2, Hongye Li3
Institutions:
1Stanford University, Stanford, CA, 2Stanford University, Palto Alto, CA, 3University of California, Los Angeles, Los Angeles, CA
First Author:
Ryan Yan
Stanford University
Stanford, CA
Co-Author(s):
Hongye Li
University of California, Los Angeles
Los Angeles, CA
Introduction:
Hedonic capacity, or the ability to experience pleasure, has been identified as an important mental health symptom profile (Cuthbert & Insel, 2013; Insel et al., 2010). Reduced hedonic capacity is a key symptom in various psychiatric disorders including depression and schizophrenia. Neuroimaging studies have linked self-reported hedonic capacity to reduced subcortical activity (especially in the ventral striatum) during reward processing, particularly during reward anticipation (Green et al., 2019; Wacker et al., 2009; Wu et al., 2014). Many of these studies, however, were conducted on depressed patients. Additionally, research has not clarified whether blunted ventral striatal responses to reward are specifically associated with self-reported reward anticipation versus consumption.
Methods:
In a pre-registered study, we will recruit 60 healthy participants in total. This abstract presents preliminary results based on N = 41 quality-assured participants collected to date. Participants completed two reward processing tasks while being scanned with functional Magnetic Resonance Imaging (fMRI at 3T GE, TE = 25 ms, TR = 2000 ms, flip = 70°, 28 slices) – the Monetary Incentive Delay (MID) task (Knutson et al., 2001), and a skewed gambling task (Wu et al., 2011). In MID task trials, participants see a cue indicating potential monetary gain or loss ($5, $1 or $0 gain or loss), then responded to a rapidly presented target after waiting a variable delay, to try to acquire gains or avoid losses. In skewed gambling task trials (Leong et al., 2016), participants saw a risky option and a safe option, chose between them, and were notified of the outcome. Thus, both tasks included anticipation phase and outcome phases.
High resolution images (1.5 mm isotropic) were acquired with manually-prescribed partial coverage of mesolimbic projections spanning the midbrain and the dorsal striatum. Self-reported hedonic capacity was measured by the Temporal Experience of Pleasure Scale (TEPS), which contains an anticipatory component (TEPS-ANT) and a consummatory component (TEPS-CON). Functional neuroimaging data was preprocessed using a standard protocol with AFNI (Srirangarajan et al., 2021) and co-registered to MNI space using FSL. The time course data and regression coefficients for anticipation and outcome periods were extracted for mesolimbic projection regions (including the Nucleus Accumbens (NAcc) of the ventral striatum).
Results:
Healthy participants with higher hedonic capacity (as indexed by a higher TEPS score) tended to respond faster to obtain monetary rewards (β = -0.27, p = .055). This pattern appeared to generalize over all cue types, not just the high reward incentive responses. Averaged peak NAcc signal during high reward (+$5) anticipation was also associated with higher TEPS-ANT (β = 0.31, p = .045), but not with TEPS-CON (β = 0.03, p = .839). This association of TEPS-ANT with neural activity was specific to the +$5 anticipatory activity, since neither NAcc nor MPFC response to +$5 outcome was associated with the TEPS score.
Further, observed results trended towards generalizing to the skewed gambling task.
While +$5 cue anticipatory NAcc activity in the MID task was not significantly associated with NAcc activity during anticipation of gamble acceptance (β = 0.15, p = .169), NAcc activity in anticipation of gamble outcomes was indeed associated with overall TEPS score (β = 0.32, p = .036). Unlike the MID task, this association was not specific to TEPS-ANT (β = 0.20, p = .198).
Conclusions:
In a preliminary analysis, self-reported variation in hedonic capacity was associated with NAcc activity during reward anticipation in healthy humans. This association may generalize to another incentivized task with an anticipatory phase. These preliminary findings are consistent with the idea that hedonic capacity is an affective trait which can vary across healthy and clinical samples.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia)
Emotion, Motivation and Social Neuroscience:
Reward and Punishment 1
Modeling and Analysis Methods:
Activation (eg. BOLD task-fMRI) 2
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Subcortical Structures
Novel Imaging Acquisition Methods:
BOLD fMRI
Keywords:
Affective Disorders
Basal Ganglia
Data analysis
Dopamine
Emotions
FUNCTIONAL MRI
Psychiatric
1|2Indicates the priority used for review
Provide references using author date format
Cuthbert, B. N., & Insel, T. R. (2013). Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Medicine, 11(1), 126. https://doi.org/10.1186/1741-7015-11-126
Green, I. W., Pizzagalli, D. A., Admon, R., & Kumar, P. (2019). Anhedonia modulates the effects of positive mood induction on reward-related brain activation. Neuroimage, 193, 115–125.
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. Am Psychiatric Assoc.
Srirangarajan, T., Mortazavi, L., Bortolini, T., Moll, J., & Knutson, B. (2021). Multi‐band FMRI compromises detection of mesolimbic reward responses. NeuroImage, 244, 118617.
Wacker, J., Dillon, D. G., & Pizzagalli, D. A. (2009). The role of the nucleus accumbens and rostral anterior cingulate cortex in anhedonia: Integration of resting EEG, fMRI, and volumetric techniques. Neuroimage, 46(1), 327–337.
Wu, C. C., Samanez-Larkin, G. R., Katovich, K., & Knutson, B. (2014). Affective traits link to reliable neural markers of incentive anticipation. NeuroImage, 84, 279–289.