This video demonstrates how to find, access, and download data on EBRAINS.
Peer Herholz gives a tour of how popular virtualization tools like Docker and Singularity are playing a crucial role in improving reproducibility and enabling high-performance computing in neuroscience.
Today’s (neuro)scientific computing landscape depends more than ever on selecting, combining, and implementing a range of tools and technologies for each specific use case. For decades, neuroscience users have turned to MATLAB as an integration environment for pioneering & innovative small-scale studies. Tune in to learn how today’s MATLAB integrates with today’s powerful tools & technologies for larger-scale and next-generation neuroscience challenges.
Hierarchical Event Descriptors (HED) fill a major gap in the neuroinformatics standards toolkit, namely the specification of the nature(s) of events and time-limited conditions recorded as having occurred during time series recordings (EEG, MEG, iEEG, fMRI, etc.). We, the HED Working Group, propose a half-day online INCF workshop on the need for, structure of, tools for, and use of HED annotation to prepare neuroimaging time series data for storing, sharing, and advanced analysis.
This workshop will introduce reproducible workflows and a range of tools along the themes of organisation, documentation, analysis, and dissemination. After a brief introduction to the topic of reproducibility, the workshop will provide specific tips and tools useful in improving daily research workflows. The content will include modules such as data management, electronic lab notebooks, reproducible bioinformatics tools and methods, protocol and reagent sharing, data visualisation, and version control. All modules include interactive learning, real-time participation, and active knowledge sharing. The methods and tools introduced help researchers share work with their future self, their immediate colleagues, and the wider scientific community.
This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.
2nd part of the lecture. This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.
This lecture focuses on how the immune system can target and attack the nervous system to produce autoimmune responses that may result in diseases such as multiple sclerosis, neuromyelitis and lupus cerebritis manifested by motor, sensory, and cognitive impairments. Despite the fact that the brain is an immune-privileged site, autoreactive lymphocytes producing proinflammatory cytokines can cause active brain inflammation, leading to myelin and axonal loss.
Most psychiatric disorders (most notably dependence syndromes, depression, psychosis, and autism) are characterized by impaired social interaction, with many patients preferring a drug of abuse. This lecture focuses on the latest research on the neural basis of normal and impaired social interaction.
This lecture will provide an overview of neuroimaging techniques and their clinical applications.
This lecture will provide an overview of neuroimaging techniques and their clinical applications
This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases
This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.
How genetics can contribute to our understanding of psychiatric phenotypes.
The lecture focuses on rationale for employing neuroimaging methods for movement disorders
An overview of some of the essential concepts in neuropharmacology (e.g. receptor binding, agonism, antagonism), an introduction to pharmacodynamics and pharmacokinetics, and an overview of the drug discovery process relative to diseases of the Central Nervous System.
Longitudinal Online Research and Imaging System (LORIS) is a web-based data and project management software for neuroimaging research studies. It is an open source framework for storing and processing behavioural, clinical, neuroimaging and genetic data. LORIS also makes it easy to manage large datasets acquired over time in a longitudinal study, or at different locations in a large multi-site study.
The INS Emerging Issues Task Force held a virtual panel discussion on the evolving role and increased adoption of digital applications to deliver mental health care. It was held as a session at the annual conference of the Italian Society for Neuroethics. Speakers were:
Not long ago, scientists in physiotherapy would claim for the need of big data and large initiatives in the US have already allowed to collect large retrospective data on recovery after brain injury and are working to collect prospective data. In Europe, there is a large field of collaboration in the field of aphasia supported by the European cooperation in Science and Technology that is collecting data on language recovery throughout the world. This lecture discusses recent advances in sharing big data for neurorehabilitation.