Neural mechanism of reward processing in autistic adolescents
- Institution
- TEMPLE UNIV OF THE COMMONWEALTH, PA
- Principal investigator
- Johanna Molly Jarcho
- Funding
- $186K
- Duration
- 2024–2026
Moonbase score
Still being scored
Abstract
PROJECT SUMMARY Social deficits are a primary characteristic of autism spectrum disorder (ASD). The social motivation hypothesis posits that these deficits reflect alterations in social information processing, including a blunted reward response to social stimuli. Neuroimaging research suggests this blunting may generalize beyond the social domain. Given the considerable resources devoted to motivation and reinforcement-based interventions, it is essential to identify the extent that blunted reward processing influences the entire spectrum of autism (i.e., beyond social motivation) and to identify the neural mechanisms that contribute to said blunting. Proposed aims make substantive progress towards answering these questions in neurotypical (NT; N=50) vs. autistic (N=50) youths. We focus on emerging adolescence (10-15 years; 20% female reflecting autism prevalence) as it is a critical phase of development when peer feedback gains salience in NT youth and social deficits increase in autistic youth. Significance is derived from three factors. First, we address two shortcomings in fMRI study design that have hindered progress towards isolating ASD-related differences in reward processing: A) Most studies fail to directly compare neural response to social (e.g., viewing a smiling face) and non-social (e.g., winning money) outcomes. B) Social stimuli typically used to study reward fail to model the experience of actually being liked by peers (i.e., direct social reward). To overcome these shortcomings, we developed an fMRI-based feedback paradigm that quantifies neural response to reward in social (being liked) and non-social (winning money) domains. Aim 1 uses this paradigm to isolate differences in neural response to social and non-social reward. This will be the first fMRI study to test ASD-related neural response to direct social reward. Second, we address a major knowledge gap in the social motivation hypothesis - the extent to which ASD symptoms relate to dopamine (DA) system function in brain. Animal models of autism suggest that DA system dysfunction contributes to blunted reward processing. However, testing human correlates has proved challenging because it requires invasive techniques involving radioactivity. Recent advances have demonstrated that neuromelanin-MRI (NM-MRI) can be used as a non- invasive proxy for measuring DA system function. Aim 2 quantifies differences in midbrain DA system function via NM-MRI. If awarded, this study will be the first to apply NM-MRI in ASD research. Third, in Aim 3, we lay the foundation for a novel approach to individualized treatment by testing the extent to which DA system function influences relations between ASD and blunted reward response. Gold standard interventions (e.g., Applied Behavioral Analysis, ABA) rely on intact reward processing for maximal effect. If DA system deficits diminish neural response to reward, this may explain variation in treatment outcomes. NM-MRI could identify those who may benefit most (or least) from ABA, and identify novel pharmacological targets to treat core symptoms of ASD.
LOADING MOONBASE SCORE
Questions for TEMPLE UNIV OF THE COMMONWEALTH
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NIH · Temple Univ of the CommonwealthNot yet scored
Neural mechanisms of memory bias in adolescent social anxiety persistence and remittance
Johanna Molly Jarcho · $638K · 2023–2028
- NIH · Temple Univ of the CommonwealthReviewed
Psychophysiological Correlates of Cognitive Bias Modification in Intermittent Explosive Disorder
Nicole Katherine Ciesinski · $35K · 2023–2026
- NIH · Temple Univ of the CommonwealthNot yet scored
Measuring compartmentalized metabolism of cofactors
Nathaniel W. Snyder · $277K · 2025–2030