001     285630
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024 7 _ |a 10.1007/s00415-026-13718-z
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024 7 _ |a 0367-004X
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024 7 _ |a 0012-1037
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024 7 _ |a 0340-5354
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024 7 _ |a 1432-1459
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037 _ _ |a DZNE-2026-00269
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Kassubek, Jan
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245 _ _ |a Hypothalamic atrophy in progressive supranuclear palsy, assessed by convolutional neural network-based automatic segmentation.
260 _ _ |a [Darmstadt]
|c 2026
|b Steinkopff
336 7 _ |a article
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520 _ _ |a 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.
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650 _ 7 |a Hypothalamus
|2 Other
650 _ 7 |a Magnetic resonance imaging
|2 Other
650 _ 7 |a Metabolism
|2 Other
650 _ 7 |a Neural networks
|2 Other
650 _ 7 |a Progressive supranuclear palsy
|2 Other
650 _ 7 |a Volumetry
|2 Other
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Supranuclear Palsy, Progressive: diagnostic imaging
|2 MeSH
650 _ 2 |a Supranuclear Palsy, Progressive: pathology
|2 MeSH
650 _ 2 |a Supranuclear Palsy, Progressive: complications
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Hypothalamus: pathology
|2 MeSH
650 _ 2 |a Hypothalamus: diagnostic imaging
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging: methods
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Neural Networks, Computer
|2 MeSH
650 _ 2 |a Atrophy: diagnostic imaging
|2 MeSH
650 _ 2 |a Atrophy: pathology
|2 MeSH
650 _ 2 |a Parkinson Disease: diagnostic imaging
|2 MeSH
650 _ 2 |a Parkinson Disease: pathology
|2 MeSH
650 _ 2 |a Cohort Studies
|2 MeSH
650 _ 2 |a Image Processing, Computer-Assisted: methods
|2 MeSH
650 _ 2 |a Convolutional Neural Networks
|2 MeSH
693 _ _ |0 EXP:(DE-2719)DESCRIBE-PSP-20160101
|5 EXP:(DE-2719)DESCRIBE-PSP-20160101
|e DZNE Clinical Registry Study of Neurodegenerative Diseases in Patients with Progressive Supranuclear Paresis (PSP)
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700 1 _ |a Höglinger, Günter U
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700 1 _ |a Zůza, Adam
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700 1 _ |a Kreiser, Kornelia
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700 1 _ |a Roselli, Francesco
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700 1 _ |a Group, DESCRIBE-PSP Study
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700 1 _ |a Müller, Hans-Peter
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700 1 _ |a Brandt, Daniel Moritz
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700 1 _ |a Bürger, Katharina
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700 1 _ |a Düzel, Emrah
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700 1 _ |a Janowitz, Daniel
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700 1 _ |a Katzdobler, Sabrina
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700 1 _ |a Kimmich, Okka
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700 1 _ |a Levin, Johannes
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700 1 _ |a Priller, Josef
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700 1 _ |a Schneider, Luisa-Sophie
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700 1 _ |a Spottke, Annika
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700 1 _ |a Spruth, Eike Jakob
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700 1 _ |a Synofzik, Matthis
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700 1 _ |a Teipel, Stefan
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700 1 _ |a Wilke, Carlo
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773 _ _ |a 10.1007/s00415-026-13718-z
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