Researchers analyzed EBRAINS-hosted brain data to determine that whole-brain activity patterns predict stimulation outcomes better than local recordings. Targeting specific sensorimotor and visual networks reduces response variability by up to 24%. This study highlights the value of open datasets for enabling large-scale analyses.
Researchers developed a computer model of the human cortex linking microscopic chemistry to brain-wide patterns of activity. The model found that regional differences in receptor density improve coordination between brain regions and information flow.
The EBRAINS Roadmap Symposium will bring together the global neuroscience community to shape the EBRAINS 10-Year-Roadmap. A total of 159 submissions from 134 unique contributors across 25 countries have been received, reflecting the momentum of Europe's digital neuroscience landscape.
The Individual Brain Charting project has released its fifth update with a new set of cognitive tasks, expanding the dataset to 40 hours of scanned data per participant. This provides an exceptionally rich resource for studying individual variability in brain organisation and understanding brain function.
Researchers propose a novel brain architecture for efficient processing, integrating parallel cortical and subcortical pathways. This approach may improve decision-making tasks, suggesting current AI models are missing key brain function principles.
The EBRAINS Summit 2025 will bring together experts to assess how neuroscience can drive medical progress, digital innovation, and responsible data use. Preliminary results from the EPINOV clinical trial, integrating virtual brain technology for epilepsy surgery planning, will be presented.
Scientists have developed a new multiscale modeling approach that can simulate how microscopic changes affect macroscale brain activity. The framework successfully predicted the effects of anesthesia on synaptic receptors, bridging the gap between molecular and whole-brain levels.
Researchers used advanced neuroimaging and the Julich-Brain Atlas to identify specific brain networks linked to psychopathy, finding reduced volumes in multiple regions including basal ganglia, thalamus, and cortex. This study advances research on neuropsychobiological correlates of aggression.
The position paper identifies eight key areas for digital neuroscience research, including near-term, middle-term, and long-term goals. It also discusses the potential of 'digital twin' approaches, ultra-high-resolution digital atlases, and neuro-derived AI and computing innovations.