H2020Индивидуална стипендия2022–2024

DeepPop · Multimodal integration and population dynamics in the Deep Cerebellar Nuclei

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

Период
2022-01-17 → 2024-01-16
Финансиране от ЕС
196 708 €
Участници
1
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Дълбоките церебеларни ядра в мозъка обработват информация за фината моторна координация и когнитивните функции. Разбирането на тези процеси помага да се обясни произходът на състояния като атаксия, тремор, аутизъм и шизофрения.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Multimodal integration and population dynamics in the Deep Cerebellar Nuclei

• What is the problem/issue being addressed? The cerebellum is a key structure involved in voluntary movement, motor learning and cognition. Understanding day-to-day fine motor coordination, but also how cerebellar dysfunctions can cause such a large spectrum of diseases (ataxia, dystonia, tremor, and some forms of autism and schizophrenia), requires us to decipher how information is processed within this structure. The cerebellum is made of a large cortical section, the well-studied cerebellar cortex, that performs extraordinarily complex sensorimotor processing, and a set of tiny neuronal nuclei, whose function is less well understood: the Cerebellar Nuclei (CN). Once computed in the cerebellar cortex, the cortical output is channelled through these small CN, which are the actual output of the cerebellum. How information is transformed after this computational funnel is unclear. Recent advances have shown that the CN are composed of multiple subpopulations of neurons, that may be specialized in the control of distinct behaviours, although it is not clear which ones. Anatomical and experimental evidence also suggest that some of the inputs originating from outside the cerebellum (mossy fibres and climbing fibres) can directly influence the CN, indicating that the CN are more than just a relay. Understanding the properties of these inputs, and if and how they affect specific subpopulations in the CN is key to understand what processing happens during this last step of the cerebellar computations. This ultimately determines how the cerebellum controls other brain regions. • Why is it important for society? Fundamental research impacts society by deepening our understanding of how the brain works. Brain structures like the cerebellum are highly conserved across species, and many of the observation can be used to increase our understanding of the human brain. Besides increasing our understanding of the world, describing the functioning and network organization of a major brain structure like the cerebellum has potential medical and technological applications. It can lead to novel therapies for pathologies that are due to cerebellar disfunctions (ataxia, tremors), but also to other brain pathologies or disorders that have been shown to involve the cerebellum as part of bigger brain circuits, such as schizophrenia or autism. It can also have technological applications since some AI or robotic technologies are inspired by the cerebellar system. • What are the overall objectives? The main objective of this project was to improve our understanding of the processing rules in the cerebellar nuclei, by looking at how individual cells respond to different type of extracerebellar inputs, how they integrate different sources of information at the dendritic level, and how they process information at the level of the neuronal network.

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

Цел на проекта

The cerebellum is a key structure of the central nervous system that contains more than half the neurons of the brain. It is highly conserved across vertebrates and crucial for coordinated movement, motor learning and cognition. Cerebellar dysfunction causes a wide range of motor (ataxia, dystonia) or non-motor (autism, schizophrenia) disorders. It is made of two structures: the cerebellar cortex and the Deep Cerebellar Nuclei (DCN). While the former has been thoroughly studied, the DCN - the actual output of the structure - are much less understood. Technological limitations and experimental difficulties have limited the study of DCN processing rules both at the cellular and at the population level. A multidisciplinary approach combining recent discoveries on DCN structure, modern cell type labelling strategies and optogenetics, and novel optical tools based on work performed during my first postdoctoral project (acousto-optic 2-photon imaging coupled with GRIN lenses) will address the following fundamental open questions that limit our understanding of sensorimotor systems: 1) How are inputs carrying sensorimotor information from different parts of the brain (mossy fibres (MFs) and climbing fibres (CFs)) integrated by individual DCN neurons? 2) How are CFs and MFs carrying different sensory modalities processed by DCN neurons at the neuronal and dendritic levels? And how does it relate to distinct DCN neuron subpopulations? 3) What is the dynamic of these subpopulations during a behavioural task in vivo? The outcome of the DeepPop project will provide new knowledge of the computations performed in the cerebellum, novel optical solutions to study deep brain structures and data that will be used by the wider community (e.g. modellers, theoretician, clinicians) and increase our general understanding of sensorimotor systems.

Оригинален текст от CORDIS (на английски).

Участници

  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisКоординаторФранция

Връзки

Данни: CORDIS, © Европейски съюз