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Topic: Stress response

Seminar
3 seminars
Seminar · Microbiology

Role of the gut microbiota in the development of alcohol use disorder

Philippe de Timary · UCLouvain, Belgium, Institute of Neuroscience and Department of Adult Psychiatry

Fri, Nov 19, 2021 · 11:00 UTC

The gut microbiota is composed of a very large number of bacteria, viruses, fungi and yeasts that play an important role in the body, through the production of a series of metabolites (including neurotransmitters), and through an essential role in the barrier function of the gut and the regulation of immunity and stress response. In this lecture I will present, based mainly on human studies but also on preclinical studies, the evidence for a role of the gut microbiota in the development of alcohol use disorder. I will show the first results of trials to test the effects of nutritional approach

Seminar · Neuroscience

Gut Feelings: The Microbiota-Gut-Brain Axis Across the Lifespan

John Cryan · University College Cork

Mon, Mar 22, 2021 · 15:00 UTC

The microbiota-gut-brain axis is emerging as a research area of increasing interest for those investigating the biological and physiological basis of brain development and behaviour during early life, adolescence & ageing. The routes of communication between the gut and brain include the vagus nerve, the immune system, tryptophan metabolism, via the enteric nervous system or by way of microbial metabolites such as short chain fatty acids. Studies in animal models have shown that the development of an appropriate stress response is dependent on the microbiota. Developmentally, a variety of fact

Seminar · Computational Neuroscience

Recurrent network models of adaptive and maladaptive learning

Kanaka Rajan · Icahn School of Medicine at Mount Sinai

Wed, Apr 8, 2020 · 13:00 UTC

During periods of persistent and inescapable stress, animals can switch from active to passive coping strategies to manage effort-expenditure. Such normally adaptive behavioural state transitions can become maladaptive in disorders such as depression. We developed a new class of multi-region recurrent neural network (RNN) models to infer brain-wide interactions driving such maladaptive behaviour. The models were trained to match experimental data across two levels simultaneously: brain-wide neural dynamics from 10-40,000 neurons and the realtime behaviour of the fish. Analysis of the trained R

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