HEИндивидуална стипендия2024–2026

RISK-MATTER · Psychosis risk subtypes and white matter integrity: exploring subgroup trajectories

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2024-07-01 → 2026-12-31
Финансиране от ЕС
220 967 €
Участници
2
Схема
HORIZON-TMA-MSCA-PF-GF

Линиите свързват координатора с партньорите.

Накратко на български

Рисковите профили от генетични и социални фактори, като стрес в ранното детство, се свързват с промени в бялото вещество на мозъка. Това помага да се разберат различните пътища на развитие на психозите и да се подобрят ранните интервенции.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Psychosis risk subtypes and white matter integrity: exploring subgroup trajectories

Mental health problems have increased worldwide in recent years, particularly among young people, and represent a major public health challenge in Europe. Psychotic disorders, although relatively rare, are among the leading causes of long-term disability. This immense burden is partly explained by the disorder’s early onset between late adolescence or early adulthood and can profoundly disrupt education, employment, and social participation. Importantly, individuals with psychotic disorders follow very different clinical trajectories: while some recover well after a first episode, others experience persistent symptoms and functional impairment. Currently, it remains difficult to predict these outcomes or to tailor interventions accordingly. RISK-MATTER addresses this challenge by focusing on risk exposure profiles, i.e., combinations of genetic, social, and environmental factors that may shape both brain development and long-term clinical outcomes in psychosis. Rather than treating psychotic disorders as a single entity, the project aims to identify meaningful subgroups of individuals based on their exposure to different risk factors, such as early-life adversity or later environmental stressors. This approach aligns closely with recent European policy initiatives that emphasize prevention, and early intervention in mental health. A central objective of RISK-MATTER is to understand how these risk exposure profiles relate to changes in white matter microstructure, a key component of brain connectivity that continues to develop during adolescence and early adulthood. White matter seems particularly relevant because abnormalities in white matter microstructure are consistently observed in affected individuals. By studying both static brain characteristics and changes over time, the project investigates whether white matter alterations may help explain why certain risk profiles are associated with poorer clinical outcomes. To achieve these goals, RISK-MATTER integrates advanced neuroimaging, data-driven machine learning methods, and real-life outcome assessments, including smartphone-based measures that capture everyday functioning. Ultimately, the project aims to contribute to more risk-informed and person-centered approaches to psychosis care. By improving the understanding of how social and environmental risks interact with brain development to influence outcomes, RISK-MATTER provides a basis for more risk-informed approaches to psychosis care, with the potential to inform future prevention strategies and personalized interventions.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Psychotic disorders rank among the top 25 global causes of disability, impacting individuals, their families, and society. Much of this burden stems from early onset and poor clinical outcomes. While approximately 30% of individuals experience persistent symptoms, illness trajectories following a first psychotic episode vary widely and remain poorly understood. Cumulative genetic and environmental risk exposures and underlying white matter (WM) microstructure abnormalities have been associated with clinical outcomes during the first few years following psychosis onset. Still, it remains unexplored how different combinations of risk exposures are linked via WM microstructure with short- and long-term psychosis outcomes. Thus, RISK-MATTER aims to identify biologically and clinically meaningful subgroups of individuals with recent-onset psychosis based on their different genetic and environmental risk profiles by employing advanced clustering approaches. I will assess whether stratifying participants into these more similar subgroups enhances the effectiveness of supervised machine learning models that utilize WM microstructure and baseline clinical features to predict traditional one-year clinical outcomes. Yet, traditional retrospective assessments to evaluate clinical outcomes are prone to memory and assessor bias. Hence, I will further re-contact a subset of individuals up to eight years after psychosis onset to collect traditional and smartphone-based assessments to determine whether my models predictive accuracy is robust when evaluating longer-term and real-life outcomes. During this project, I will build expertise in diffusion-weighted imaging, unsupervised machine learning, and smartphone-based assessments, mentored by Prof. Pasternak (Harvard Medical School) and Prof. Koutsouleris (Ludwig-Maximilian-University). These skills will bolster my academic profile as a neuroscientific psychologist and facilitate my growth as an independent research group leader.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз