TY  - JOUR
AU  - Kassubek, Jan
AU  - Höglinger, Günter U
AU  - Zůza, Adam
AU  - Kreiser, Kornelia
AU  - Roselli, Francesco
AU  - Müller, Hans-Peter
TI  - Hypothalamic atrophy in progressive supranuclear palsy, assessed by convolutional neural network-based automatic segmentation.
JO  - Journal of neurology
VL  - 273
IS  - 3
SN  - 0367-004X
CY  - [Darmstadt]
PB  - Steinkopff
M1  - DZNE-2026-00269
SP  - 201
PY  - 2026
AB  - The hypothalamus as one of the core structures in metabolic control is increasingly recognized to be morphologically altered in various neurodegenerative diseases.The purpose of this study was to quantitatively investigate the hypothalamic volumes in patients with progressive supranuclear palsy (PSP) and to compare them with controls and Parkinson disease (PD) patients.An automatic hypothalamic volume quantification method based on the use of convolutional neural networks (CNN) of U-Net architecture was applied to the automatic segmentation of the hypothalamus and intracranial volumes (ICV). This CNN-based volumetric analysis was performed in high resolution T1 weighted MRI in two PSP cohorts: cohort A with 78 PSP patients and 63 controls was recorded at 3.0 T at multiple sites; the single site cohort B consisted of 66 PSP patients, 66 PD patients, and 44 controls, recorded at 1.5 T.In cohort A, significant hypothalamic volume reduction was observed in PSP (774 ± 83 mm3) when compared to controls (817 ± 74 mm3). In cohort B, this result of significant hypothalamic volume reduction was confirmed in PSP (745 ± 102 mm3) when compared to controls (831 ± 81 mm3); no significant hypothalamic volume reduction was observed in PD (797 ± 98 mm3), in support of previous studies.The CNN-based hypothalamus volume quantification study demonstrated significantly reduced hypothalamus volumes in PSP patients compared to controls and PD, respectively; future studies will address the metabolic profiles of PSP as potential functional correlates.
KW  - Humans
KW  - Supranuclear Palsy, Progressive: diagnostic imaging
KW  - Supranuclear Palsy, Progressive: pathology
KW  - Supranuclear Palsy, Progressive: complications
KW  - Male
KW  - Female
KW  - Aged
KW  - Hypothalamus: pathology
KW  - Hypothalamus: diagnostic imaging
KW  - Magnetic Resonance Imaging: methods
KW  - Middle Aged
KW  - Neural Networks, Computer
KW  - Atrophy: diagnostic imaging
KW  - Atrophy: pathology
KW  - Parkinson Disease: diagnostic imaging
KW  - Parkinson Disease: pathology
KW  - Cohort Studies
KW  - Image Processing, Computer-Assisted: methods
KW  - Convolutional Neural Networks
KW  - Hypothalamus (Other)
KW  - Magnetic resonance imaging (Other)
KW  - Metabolism (Other)
KW  - Neural networks (Other)
KW  - Progressive supranuclear palsy (Other)
KW  - Volumetry (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:41811373
C2  - pmc:PMC12979338
DO  - DOI:10.1007/s00415-026-13718-z
UR  - https://pub.dzne.de/record/285630
ER  -