📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Predictability of intelligence and age from structural connectomes (2024)

First Author: Kopetzky S

Attributed to: Modelling dementia progression based on machine learning and simulations funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pone.0301599

PubMed Identifier: 38557681

Publication URI: http://europepmc.org/abstract/MED/38557681

Type: Journal Article/Review

Parent Publication: PLOS ONE

Issue: 4

ISSN: 1932-6203