Data-driven identification of early brain patterns associated with cognitive outcomes following extreme prematurity

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Dnr:

NAISS 2026/4-563

Type:

NAISS Small

Principal Investigator:

Gustaf Mårtensson

Affiliation:

Karolinska Institutet

Start Date:

2026-04-06

End Date:

2026-08-01

Primary Classification:

30105: Neurosciences

Webpage:

Allocation

Klemming at PDC: 500 GiB
Dardel-GPU at PDC: 100 GPU-h/month
Dardel at PDC: 10 x 1000 core-h/month

Abstract

Can ML models trained on raw neonatal MRI acquired at term-equivalent age reliably learn high-dimensional imaging features that predict later cognitive outcomes in extremely preterm children, and do these models outperform traditional regression approaches based on predefined imaging metrics?