Publications by authors named "M Fatseas"

Addiction is considered a chronic disorder that requires long-term treatment. Early identification of predictors of outcome may enable better and early adjustment of treatment. Daily fluctuations of craving have been shown to predict substance use within hours, making it a major target for treatment.

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Background: According to the Cognitive-Interpersonal model of anorexia nervosa (AN), the combined influence of cognitive and socio-emotional difficulties would constitute vulnerability and maintaining factors. Poor cognitive flexibility is one of the endophenotypic candidates (i.e.

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Functional inhibition is known to improve treatment outcomes in substance use disorder (SUD), potentially through craving management enabled by underlying cerebral integrity. Whereas treatment is challenged by a multitude of substances that patients often use, no study has yet unraveled if inhibition and related cerebral integrity could prevent relapse from multiples substances, that is, one's primary drug of choice and secondary ones. Individuals with primary alcohol, cannabis, or tobacco use disorders completed intensive Ecological Momentary Assessment (EMA) coupled with resting-state functional MRI (rs-fMRI) to characterize the extent to which inhibition and cerebral substrates interact with craving and use of primary and any substances.

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Objectives: Addiction offers a framework for the understanding of eating disorders, particularly those characterized by hyperphagia, with growing interest in food addiction. However, the application of the addiction model to anorexia nervosa remains more controversial. In this commented narrative review, we examine and discuss the addictive features of anorexia nervosa.

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Substance use disorders are characterized by inhibition deficits related to disrupted connectivity in white matter pathways, leading via interaction to difficulties in resisting substance use. By combining neuroimaging with smartphone-based ecological momentary assessment (EMA), we questioned how biomarkers moderate inhibition deficits to predict use. Thus, we aimed to assess white matter integrity interaction with everyday inhibition deficits and related resting-state network connectivity to identify multi-dimensional predictors of substance use.

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