Skip To Main Content
Stuart Oldham on Muck Rack

Stuart Oldham

Los Angeles
As seen in: IMDb, Yahoo Entertainment, Daily Mail, Nature, The Daily Mirror, Aol, Fox News, News.com.au, Variety, Chicago Tribune and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Stuart

Contact Stuart, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Geometric constraints on the architecture of mammalian cortical connectomes

|
By Francis Normand, Mehul Gajwani, Trang Cao, Jace Cruddas, Arshiya Sangchooli, Stuart Oldham, Alexander Holmes, Peter Robinson, James C. Pang
| Cell Press Verified
STAR★Methods REAGENT or RESOURCESOURCEIDENTIFIER Deposited Data Human Van Essen et al.162 10.1016/j.neuroimage.2013.05.041 Chimpanzee Ardesch et al.130 10.1073/pnas.1818512116 Macaque Markov et al.129 10.1093/cercor/bhs270 Marmoset Majka et al.163 10.1002/cne.24023 Mouse Coletta et al.164 10.1126/sciadv.abb7187 Software and Algorithms Python 3.11 Python.org https://www.python.org MATLAB R2023B MathWorks N/A FSL FMRIB https://fsl.fmrib.ox.ac.uk HCP Pipelines HCP...
Open in Who Shared Issue with article?

Transcriptomic divergence of network hubs in the prenatal human brain - Communications Biology

|
By Stuart Oldham, Gareth Ball
| Nature Verified
Abstract 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 paralimbic and association cortices. Hub connectivity is strongly influenced by genetic factors but the molecular cues guiding the foundation of these structures remain poorly understood.
Open in Who Shared Issue with article?

Coming up short: generative network models fail to accurately capture long-range connectivity

|
By Stuart Oldham, Gareth Ball
| BioRxiv
Abstract Generative network models (GNMs) have been proposed to identify the mechanisms/constraints that shape the organisation of the connectome. These models most commonly parameterise the formation of inter-regional axonal connections using a trade-off between connection cost and some measure of topological complexity or functional value. Despite its simplicity, GNMs can generate synthetic networks that capture many topological properties of empirical brain networks.
Open in Who Shared Issue with article?
See all 425 licensed articles (438 Total)