FV 5. MRI-based texture analysis of the corpus callosum in progressive supranuclear palsy. Issue 8 (August 2021)

• Record Type: Journal Article
• Authors: Barlescu, L.A.; Müller, H.P.; Ludolph, A.C.; Pinkhardt, E.H.; Huppertz, H.J.; Kassubek, J.
• Is Part Of: Clinical neurophysiology. Volume 132:Issue 8(2021)
• Page Start: e31
• Publication Date: 2021-08
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2021.02.381
• Languages: English
• ISSNs: 1388-2457

Abstract

Abstract : Introduction. The diagnosis of progressive supranuclear palsy (PSP) involves head MRI, including detection of atrophy patterns of the mesencephalon and frontoparietal regions. In this study, MRI-based alterations of the texture in the corpus callosum (CC) in PSP patients compared with Parkinson's disease (PD) patients and healthy controls were investigated. Methods . In sagittal T1-weighted MRI scans of 66 PSP patients, 66 PD patients and 44 healthy controls the corpus callosum was segmented by atlas-based volumetry and TIFT [1] in areas I-V based on the Hofer & Frahm scheme [2]. The texture parameters entropy and homogeneity were calculated separately for areas I-V and results were compared for PSP patients (including phenotypes Richardson-syndrome and PSP-parkinsonism) vs. PD patients vs. healthy controls. Results . A significant increase of parameters entropy and homogeneity compared to controls was detected for PSP as well as for PD for areas I, II, and III of the CC; here PSP patients showed a higher increase compared to PD patients. Highest alterations were detected in area II where the increase of (in)homogeneity of PSP compared with PD was significant. Differences between the phenotypes Richardson-syndrome und PSP-parkinsonism could not be shown. Discussion . Texture analysis of the CC could contribute to diagnosis, screening and differentiation between PSP and PD. References [1] Müller HP, et al. Neuroimage Clin. 2020; 26:102223. [2] Hofer S, Frahm J. Neuroimage. 2006; 32, 989-994.