H2020Индивидуална стипендия2017–2019

NETBIO-GE · Quantitative brain network biomarkers for patient-specific diagnostics in idiopathic generalized epilepsy

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2017-10-01 → 2019-09-30
Финансиране от ЕС: 195 455 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Връзките в мозъка при хора с идиопатична генерализирана епилепсия се анализират чрез неврообразяване, за да се разбере как варират при различните пациенти и лекарства. По-точната диагностика помага за по-бързото започване на лечение и подобряване на качеството на живот.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Quantitative brain network biomarkers for patient-specific diagnostics in idiopathic generalized epilepsy

PROBLEMS AND OBJECTIVES Genetic (or idiopathic) generalised epilepsies (GGE) are well-known seizure disorders that affect roughly 30-40% of all patients with epilepsy. Although they can, in principle, be identified relatively easily, misdiagnosis and thus late initiation of treatment is still common. This is because electroencephalography and neuroimaging, important diagnostic tools, lack sensitivity and specificity. The first problem we address is thus whether we can improve diagnostics by modern neuroimaging that measures brain connectivity patterns in individual GGE patients. The second problem we address is variability in clinical presentation. Although GGE have been historically classified based on age of presentation and seizure types patients suffer from, there is a lot of overalp in practice. Thus, while some experts assert that GGE are a group of distinct disease entitites, others say it is rather a spectrum, with different expression in individuals. Using the same neuroimaging technology, we aim to test as a secondary objective, whether there is structural overlap between GGE types. As a final problem, we will explore whether brain connectivity patterns associate with medication response. IMPORTANCE FOR SOCIETY Epilepsies are common and debilitating disorders that generate a lot of individual suffering, reduce quality of life and shorten life spans. It also produces a sizable amount of direct and indirect costs via increased utilisation of health care systems and loss of productivity. Improving diagnostics can hasten therapeutic interventions and thus reduce mortality and morbidity in epilepsy. We hope this project will contribute to this effort.

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

Цел на проекта

Epilepsies are common and highly disabling diseases characterised by recurrent seizures. They constitute a relevant health problem: ~2 million adults suffer from active epilepsy in Europe, leading to significant direct and indirect costs (estimated to be ~14 billion euro (2010)). The scientific objective of this fellowship, to be carried out at the Division of Neuroscience at King's College London and the Centre of Predictive Modelling in Health Care of the University of Exeter, is to develop a novel type of diagnostic biomarker for idiopathic generalised epilepsies (IGE), an important group of syndromes that affects 25-30% of patients, particularly young adults. This will be achieved by conducting a cross-sectional case-control study that will use advanced quantitative neuroimaging techniques to measure alterations of brain network connections in IGE patients and healthy controls, and machine-learning algorithms to (1) classify patients with different seizure types according to these alterations, (2) predict their seizure risk, as assessed with long-term electroencephalography (EEG), and (3) model the effect of network disruption on brain dynamics, using computational modelling. The educational objective is to equip the fellow with the skills needed to become an independent clinical scientist in epileptology. This will be achieved through a comprehensive clinical and scientific teaching programme that will include: (1) part-time participation in clinical rounds and clinical long-term EEG monitoring of complex epilepsy, (2) training in the neuroanatomy and quantitative measurement of white matter connections of the human brain,(3) training in computational neuroscience, and (4) courses in scientific writing and project management. This programme is expected to broaden and diversify the fellow's skills, strengthen the ties between the cooperating research centers and yield novel insights that might help improve clinical management of a highly relevant disease group.

Оригинален текст от CORDIS (на английски).

Участници

KING'S COLLEGE LONDON · LondonКоординаторОбединеното кралство