Sandini Corrado
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Corrado Sandini
Towards and ecological characterization of affective and sleep comorbidities in ADHD through temporal network analysis.
In the present project we will combine, for the first time, novel digital phenotyping techniques with advanced computational analyses, in order to address current limitations in behavioral assessments of ADHD. We will leverage technological advances in wearable devices, including portable polysomnography, and smartphone-based neurocognitive and clinical assessments. Digital phenotyping data will be collected over a period of two weeks, in adolescents with ADHD and age-matched healthy controls. This approach will provide a high-resolution dynamic characterization of multiple clinical domains, as they unfold in daily life in, relation to environmental factors. Digital phenotyping will be combined with gold-standard clinical and neurocognitive assessments, which will be repeated at a 6-month longitudinal follow-up. We will employ advanced computational analysis techniques to dissect networks of dynamic interactions between symptoms contributing to affective and sleep comorbidities. We hypothesize that differences in how symptoms interact in daily life will predict differential response to treatment, opening opportunities for direct clinical translation. The goal of this project is to help pave the way towards a more personalized and holistic approach to clinical management of ADHD.