H2020Индивидуална стипендия2019–2021

OSCBAGDIS · Oscillations in Basal Ganglia Disorders

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

Период: 2019-02-14 → 2021-02-13
Финансиране от ЕС: 170 122 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Невронните ритми в мозъка се анализират, за да се разбере как се проявява треморът при ръцете при болест на Паркинсон. Това помага за подобряване на методите за стимулиране на мозъка, като се намалят страничните ефекти от излишния електрически ток.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Oscillations in Basal Ganglia Disorders

What is the problem/issue being addressed? The PI has studied which neural activity oscillatory patterns are associated with Parkinson's disease upper limb tremor. Besides that the project was aimed to improve the PIs scientific maturity. Why is it important for society? Parkinson's disease (DP) affects 1% of entire world population aged more than 60, i.e. dozens of millions of people. There is no cure for it and existing symptoms control methods have strong side effects lowering the quality of life of the patients. One of such standard treatments is deep brain stimulation (DBS) which consists of continuously delivering high frequency current pulses to the part of the brain located deep inside the head. Its side effects are known to be caused by excessive electrical current delivered. A way to solve this would be to deliver stimulation only in response to symptoms manifestation. Although motor symptoms can be detected directly by measuring muscle activity, outside laboratory it is quite inconvenient for a patient to wear sensors on their hands/hand muscles connected to some transmission device controlling the stimulation. Therefore it is desirable to have a system that detects motor symptoms appearance directly in the brain (since deep brain stimulator is already implanted there). For certain PD motor symptoms, such a bradykinesia, there are well established biomarkers that can be detected directly at the simulation site. However this is not the case for tremor. To improve the symptoms treatments, one needs to understand better the disease mechanisms. The progress in understanding them using direct measurements is slow because it involves many brain parts, some of which are located deep in the brain and not easily accessible by modern brain activity measurements. What are the overall objectives? The PI have used novel machine learning approaches and a unique dataset from clinical collaborators to find which neural activity patterns can serve as tremor biomarkers.

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

Цел на проекта

Basal ganglia is a brain structure, whose dysfunction is tightly tied with a variety of severe neurological diseases, including the widespread Parkinson’s and more rare Huntington’s diseases. Despite many efforts, current treatments for Parkinson's disease have many serious drawbacks and for Huntington’s disease barely exist.Basal ganglia play an important role in motor control and motor learning, which are both faulty in the diseases. A complete understanding of basal ganglia is still lacking though a better understanding of it is required to understand the diseases better. A distinctive feature of basal ganglia is oscillatory activity, that correlates with movement execution in different ways for different frequencies. The oscillations patterns are known to change in pathological conditions. E.g., an increase in beta-band oscillations power starts to occur in Parkinson's disease. It appears that direct high frequency stimulation of basal ganglia output structures removes some of the most important Parkinson's and Huntington's diseases symptoms. The mechanism of action of this deep brain stimulation technique is not well understood, but it is believed to act by interfering with anomalous oscillations.""How exactly basal ganglia oscillations are related to the diseases?"" is an important long-standing question, that requires a system-level approach to be answered. The project aims at the development of a detailed basal ganglia system-level computational model, constrained by experimental data and coupled to a movement system. Use of analytical and numerical approaches and close interaction with experimental neuroscientists during the model development will make it provide a coherent explanation of many basal ganglia-related behaviors in healthy and pathological brains and answer the question above, in particular. Moreover, the model simulations will also give insights into new treatment/diagnostics strategies for basal ganglia-related neurological diseases.""

Оригинален текст от CORDIS (на английски).

Участници

Consorci Centre de Recerca Matematica · BellaterraКоординаторИспания