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Hypothalamic atrophy in progressive supranuclear palsy, assessed by convolutional neural network-based automatic

Jan Kassubek1, Günter U Höglinger2,3,4, Adam Zůza5

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Progressive Supranuclear Palsy (PSP) is associated with reduced hypothalamic volume, unlike Parkinson disease (PD). This study quantitatively assessed hypothalamic volumes using MRI and convolutional neural networks (CNNs).

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Area of Science:

  • Neuroimaging and Neurodegeneration
  • Quantitative Magnetic Resonance Imaging (MRI)
  • Artificial Intelligence in Medical Diagnosis

Background:

  • The hypothalamus plays a crucial role in metabolic regulation and is implicated in neurodegenerative diseases.
  • Morphological alterations in the hypothalamus are increasingly recognized in various neurodegenerative conditions.

Purpose of the Study:

  • To quantitatively measure and compare hypothalamic volumes in patients with Progressive Supranuclear Palsy (PSP).
  • To differentiate hypothalamic volume changes between PSP, Parkinson disease (PD), and healthy controls.

Main Methods:

  • Utilized a convolutional neural network (CNN) with U-Net architecture for automatic segmentation of the hypothalamus and intracranial volumes (ICV).
  • Performed volumetric analysis on high-resolution T1-weighted MRI scans from two independent PSP cohorts.
  • Cohort A: 78 PSP patients, 63 controls (3.0T MRI); Cohort B: 66 PSP patients, 66 PD patients, 44 controls (1.5T MRI).

Main Results:

  • Significant reduction in hypothalamic volume was observed in PSP patients compared to controls in both cohorts.
  • PSP cohort A: 774 ± 83 mm³ vs. controls: 817 ± 74 mm³.
  • PSP cohort B: 745 ± 102 mm³ vs. controls: 831 ± 81 mm³.
  • No significant hypothalamic volume reduction was found in PD patients (797 ± 98 mm³) compared to controls, consistent with prior research.

Conclusions:

  • CNN-based quantitative analysis confirms significantly reduced hypothalamic volumes in PSP patients relative to controls and PD patients.
  • These findings highlight potential structural brain changes in PSP affecting hypothalamic volume.
  • Future research will explore metabolic profiles in PSP to understand functional correlates of observed volume changes.