SOURCE-LINKED INTELLIGENCE

Computational Neuroscience-based Interventions for OCD

CORDIS · observation · Publication date unknown

ite 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 a

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recordType

award

status

SIGNED

region

EU

value

1999903

unit

EUR