H2020Индивидуална стипендия2019–2021

BICE · Circuit mechanisms for behavioral choice from complete CNS activity and connectivity maps

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

Период
2019-09-02 → 2021-09-01
Финансиране от ЕС
212 934 €
Участници
1
Схема
MSCA-IF-EF-RI

Линиите свързват координатора с партньорите.

Накратко на български

Невронните вериги в ларвите на плодовата муха се анализират, за да се разбере как те избират конкретно действие. Разработваният метод помага на невробиолозите да свържат структурата на мозъка с реалната му активност при различни организми.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Circuit mechanisms for behavioral choice from complete CNS activity and connectivity maps

Studying neuronal mechanisms of entire neuronal circuits with single cell resolution requires a comprehensive understanding of neuronal activity, synaptic connectivity and neurotransmitter identity for each individual neuron. The project was aimed to develop a method to overcome this challenge. The approach was applied to study the neuronal mechanism of action selection in the larva of Drosophila melanogaster. Two main problems were address: 1) Developing the required steps to combine functional and structural datasets. 2) Identifying behavior and behavioral transition specific neuronal circuit elements and their implementation in the connectome. The methodology can be applied in small model organisms and the techniques and developed tools can be adapted individually to other model organism and research question. Therefore, it is a broad platform for other neuroscientists to develop circuit related research questions on the foundation of connectomics. The objectives address the individual challenges of the project: a) acquisition and analysis of multiple whole nervous system functional imaging datasets with single cell resolution, b) acquisition of multiple electron microscopy data sets to gain cell identity from different samples and data set modalities and c) circuit specific genetic manipulation to access the role of single neurons in the circuit dynamic. The researcher successfully implemented the methodology. Its was applied studying the circuit mechanism of action selection in the fly larva. Specific brain regions and neurons for state-dependency, and promoting and maintaining actions were identified.

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

Цел на проекта

Behavioral choice is essential for an animal's survival, but the underlying neuronal mechanisms are poorly understood. A main obstacle is that the circuits involve many brain regions. Hence investigation necessitates the study of whole-brain connectivity and dynamics. Although the connectome structurally links all potential circuits, it is insufficient for constraining functional models and must be complemented by neuronal recordings during behavioral tasks. Furthermore to test models it is necessary to manipulate identified circuit elements. Recent advances in microscopy facilitate the acquisition of complete connectomes for small animals and support neuronal activity monitoring across entire brains. The challenge remains to directly combine these techniques in the same organism. We have developed a method for observing and identifying neurons with interesting activity patterns, whereby the same sample undergoes whole-brain functional imaging and subsequent electron microscopy imaging. We propose utilizing this approach to study the neuronal mechanisms of behavioral choice in Drosophila melanogaster larvae, an ideal model system for this work. We developed a paradigm to study the choice between one of five possible exclusive actions that occur in response to the same stimulus. The aim is to identify circuit mechanisms that promote one action while suppressing all others. Based on function, structure, and neurotransmitters, we will develop models for these competing circuit motifs. Specifically, we will correlate neuronal activity with each action and combine this information with connectomic data. We assume that the competing circuits interact by inhibition, which were described before in literature. These will be tested by genetic manipulation of specific circuit elements, which will alter the probability of certain behaviors. In conclusion, we combine functional and structural information in the same organism to study the neuronal mechanisms of behavioral choice.

Оригинален текст от CORDIS (на английски).

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Връзки

Данни: CORDIS, © Европейски съюз