YouTube video by Gabriel Weindel

One of the oldest and most enduring myths in human history is the belief that the Parthenon was cleverly designed with various curved structures and sizes in order to correct optical illusions, and th...

This genomic study of magnetic resonance imaging-based brain age in 56,348 people identifies 59 genetic loci, links brain aging to mental and physical health, and suggests high blood pressure and type 2 diabetes as causal factors of brain aging.

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental value...

The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is an investigator-driven study that was created in 2011 and enrolled cognitively normal older ...

In January 2026, the Swedish Research Council will issue a call for career support funding for associate senior lecturers. Higher education institutions are invited to nominate candidates whose resear...

Asymmetrical distribution of tau pathology in Alzheimer’s disease is linked to asymmetrical amyloid-beta deposition, not reduced brain connectivity, suggesting regional vulnerability plays a key role ...

A Python-based, open source, GUI application for straightforward development and execution of scientific experiments over multiple machines.

Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathologi...

Baseline and longitudinal plasma p-tau217 were associated with subsequent decline in global cognition, progression to dementia, and increased tau burden, whereas baseline p-tau217 and GFAP were associ...

The Python interface to SPM. Contribute to spm/spm-python development by creating an account on GitHub.

Connections in the human brain are not uniformly distributed; instead, a dense network of long-range projections converge on highly connected hub regions located in transmodal, paralimbic, and associa...

We propose a Bayesian framework for training binary and spiking neural networks that achieves state-of-the-art performance without normalisation layers. Unlike commonly used surrogate gradient methods...

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