Project description
Personalised interventions for obsessive-compulsive disorder
Mental health is an increasingly urgent public health challenge worldwide, with a growing prevalence of common disorders such as anxiety and depression. Traditional treatment approaches often ignore individual differences. Obsessive-compulsive disorder (OCD) highlights this issue, as treatments have not advanced in decades. The ERC-funded CoNbI-OCD project will harness recent advances in computational neuroscience and AI to create personalised interventions. Integrating psychotherapy with neuroscience tools and generative AI, the project will develop automated clinical assessments and psychotherapeutic treatments. It will utilise neuroimaging to objectively measure and target obsessions and modify neurocognitive biases through tailored strategies. Collaborating with individuals with lived experience and mental health practitioners, the project will develop clinically relevant, easily transferable interventions that enhance existing therapies.
Objective
Mental ill-health is one of the biggest challenges for today’s society. Mental disorders are widespread and pervasive, yet our traditional approach to treating patients is archaic, ignoring clinical heterogeneity and their neurobiological causes. Obsessive-Compulsive Disorder (OCD) is a paradigmatic case, where – despite its pervasiveness – many treatments have been discovered serendipitously, where the gold-standard treatments have not changed substantially for decades despite their modest effect sizes, and where highly diverse symptom profiles between patients often go unaccounted for.
CoNbI-OCD will capitalise on the recent advances in computational neuroscience and artificial intelligence to build novel, technologically-advanced, personalised, and mechanism-informed interventions for OCD. By infusing psychotherapy with cutting-edge neuroscience tools, computational modelling, and generative artificial intelligence, I will build new interventions that (i) deliver automated and safe clinical assessments and psychotherapeutic interventions using advanced generative AI, (ii) exploit our ability to decode thought content using neuroimaging tools to objectively measure and target (traditionally inaccessible) obsessions, and (iii) improve individual-specific neurocognitive biases using tailored cognitive and psychotherapeutic interventions. By closely collaborating with the lived experience community and mental health practitioners, I will build clinically relevant and easily transferable interventions to propel existing therapies forward.
This project addresses an urgent need and will bring OCD treatment to the 21st century, developing technologically cutting-edge and personalised interventions that can seamlessly augment the existing gold-standard treatments. CoNbI-OCD has thus the potential to transform how we treat OCD and can evoke a paradigm shift across all of mental health by spearheading disruptive, novel, and personalised treatment avenues.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
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(opens in new window) ERC-2025-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
72074 Tuebingen
Germany
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