Rates of brain ageing accelerated during the COVID-19 pandemic, even among those who did not get infected with SARS-CoV-2, suggests a study of nearly 1,000 UK adults published in Nature Communications. go.nature.com/4lZA5Xf #medsky 🧪
Stam Sotiropoulos
@mristam.bsky.social
Neuroimager @SPMIC-UoN.bsky.social Professor @uniofnottingham.bsky.social Brain MRI methods developer. Father of two. https://conilab.nottingham.ac.uk
Preprint alert! On the connectivity of the ventral visual stream and prefrontal cortex in primates. www.biorxiv.org/content/10.1... w @swarringtonmri.bsky.social @saadjbabdi.bsky.social @zoltan-molnar.bsky.social @mristam.bsky.social
An anthropoid/strepsirrhine divergence in ventral visual stream connectivity
The ventral visual stream has undergone extensive reorganisation within the primate lineage. While some work has examined restructuring of the ventral prefrontal cortical grey matter across primates, ...
biorxiv.org
Preprint alert: www.biorxiv.org/content/10.1...
Translating brain anatomy and neurodegenerative disease from mouse to human through latent gene expression space
The mouse model is by far the most widely used animal model in preclinical neuroscience, but translating findings to humans suffers from the lack of a formal framework establishing the correspondence between the mouse and the human brain. In this study, we build on the concept of common brain space, and on previous work embedding gene expression profiles, to bring the two species into alignment for comparative analysis. Using a variational autoencoder (VAE) combined with a latent classifier, we create a latent space that strikes a balance between abstract features related to reconstruction and features pertaining to regional segregation. This approach demonstrates improved cross-species homology and within-species locality compared to existing comparative models. In addition, we show that brain alterations in mouse disease models can be translated to humans, predicting patterns of brain changes in Alzheimer's and Parkinson's diseases. The flexibility and scalability of this approach offer a promising framework to bridge between more animal models, comparing quantitative imaging modalities, and disease phenotypes. This in turn will help advance our understanding of species similarities and differences, enhancing both fundamental translational neuroscience and disease modelling. ### Competing Interest Statement The authors have declared no competing interest.
biorxiv.org
Always thought we should use connectivity blueprints to investigate differences between human, chimpanzee, and macaque brains? www.jneurosci.org/content/earl... For Katherine Bryant’s latest masterpiece.
Connectivity profile and function of uniquely human cortical areas
Determining the brain specializations unique to humans requires directly comparative anatomical information from other primates, especially our closest relatives. Human ( Homo sapiens ) (m/f), chimpan...
jneurosci.org
We are soon starting our 5-year MRC programme grant on novel noninvasive ultrasound or magnetic stimulation for brain and mental health (see press release below). Watch out for our job advertisement for a postdoctoral fellow in neuromodulation later on... www.nottingham.ac.uk/news/new-res...
News - New research will lead to improved brain function for patients with a range of mental health conditions - University of Nottingham
Experts at the University of Nottingham have received £2.4m in funding to develop new noninvasive brain stimulation interventions for patients with a wide range of conditions including depression, sch...
nottingham.ac.uk
Imaging Neuroscience new-paper posts from 2023. At the end of December we'll post the much bigger 2024 montage (even Rocky had a montage).
New paper in Imaging Neuroscience by Christoph Arthofer, Frederik J. Lange, et al: Internally consistent and fully unbiased multimodal MRI brain template construction from UK Biobank: Oxford-MM doi.org/10.1162/imag...
First post! New preprint led by @josepemanzano.bsky.social on amortised simulation-based inference #SBI to map orientation #uncertainty and perform brain #tractography. Great collaboration with @jakhmack.bsky.social, @ppjgoncalves.bsky.social, @deismic.bsky.social.
Uncertainty mapping and probabilistic tractography using Simulation-Based Inference in diffusion MRI: A comparison with classical Bayes https://www.biorxiv.org/content/10.1101/2024.11.19.624267v1