Predicting Transitions From Depression to Wellbeing Through a Network-based Operationalization of Plasticity

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• 18 és 70 év között vagy?IgenNem

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Major depressive disorder (MDD) is one of the leading causes of disability worldwide, and many patients do not respond adequately to available treatments. Plasticity, the ability of the brain and mind to change, is thought to be a crucial process in the transition from depression to wellbeing, but methods to measure it are limited. The Network Theory of Plasticity proposes that the weaker the connections among the elements of a system (for example, the symptoms of a patient or the regions of the brain), the higher its plasticity. Earlier analyses of large clinical datasets (STAR*D and CO-MED) supported this idea at the population level.

A vizsgálat csoportja

• MDD cohort

  200 adult outpatients and inpatients (aged 18-70 years) recruited at IRCCS Ospedale San Raffaele, Milan, with a DSM-5 diagnosis of nonpsychotic major depressive disorder (MDD) and a score of 14 or higher on the 17-item Hamilton Depression Rating Scale (HDRS). Exclusion criteria are bipolar disorder, schizophrenia, psychosis NOS, anorexia or bulimia nervosa, OBCD, medical conditions incompatible with the protocol, and pregnancy or breastfeeding. At baseline, participants undergo structural and resting-state functional MRI, clinical and cognitive assessments, and blood sampling for multi-omic analyses. Clinical and cognitive assessments are repeated at 4 weeks. No intervention is assigned by the study; participants continue their usual care.

  Kezelés: Clinical and cognitive assessments, Multimodal MRI és Blood sampling for multi-omic analyses