Detailed contribution information
| Contribution title | Anticipatory and Consummatory Responses to Touch and Food Rewards in Anorexia Nervosa |
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| Contribution code | D2.084 |
| Authors | |
| Form of presentation | Poster |
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| Abstract |
Aims | Anorexia nervosa (AN) is a severe psychiatric disorder with high mortality, with complex but so far unknown origin and suboptimal treatment course and prognosis. Etiological models conceptualize AN as a disorder in which neurochemical and neurophysiological circuits related to reward processing are highly dysregulated. However, inconsistencies about the direction of such dysregulations (i.e. hypo- or hyper-sensitivity to rewards) highlight the complexity of the phenomenon and the difficulty to draw a mechanistic model of the disease. A possible explanation of such discrepancies can be attributed to different study designs and an operationalization of reward that is highly heterogeneous. Here, by using a newly developed paradigm with high translational value inspired by animal research, in combination with functional magnetic resonance imaging (fMRI), we aim to investigate the neural and behavioral underpinning of reward processing (social, and non-social) in AN, with the ultimate goal to develop a mechanistic model which will allow clinicians to better assess which individual aspects promote recovery and treatment success. Methods | We tested AN patients in different stages of the illness (N=90), and matched controls (N=60) using a reward paradigm which included trial-by-trial anticipation and consumption of matched primary social (affiliative touch) and non-social (real food) stimuli. Concurrently, their neural and facial muscular (i.e. corrugator supercilii muscle) activity was acquired by simultaneous fMRI and electromyography (EMG). To examine brain activity in both components of reward, separate analyses are conducted for the 'wanting' phase (anticipation) and the 'liking' phase (consumption). Results and Conclusions | This multi-method approach lays the groundwork to further understand reward processing and inquire the best treatments for AN in creating a more accurate model by integrating social, behavioral and neurobiological factors. |