Year: 2024
Type: dissertation
Abstract: Hypothesizing that the claustrum is at risk after preterm birth, we analyzed 558 neonatal T2 and diffusion-weighted magnetic resonance images of the developing Human Connectome Project. Automated claustrum segmentation was established by deep learning with transfer learning. In preterm-born neonates, the claustrum volume was increased, and the claustrum microstructure and microstructural covariance with other brain regions were impaired, suggesting an altered development following preterm birth.
Authors: Neubauer, Antonia Dorothea, Sorg, Christian 1969-, Technische Universität München
Institution: Technical University of Munich
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6982433525
