Exploring the heterogeneous morphometric data in essential tremor with probabilistic modelling
| Autor: | Thomas A W, Bolton, Dimitri, Van De Ville, Jean, Régis, Tatiana, Witjas, Nadine, Girard, Marc, Levivier, Constantin, Tuleasca |
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| Přispěvatelé: | Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
structural covariance
surface -based morphometry Humans Essential Tremor/diagnostic imaging Magnetic Resonance Imaging/methods Brain/diagnostic imaging Tremor Brain Mapping/methods Cortical thickness Essential tremor Gaussian mixture model Hand tremor Head tremor Heterogeneity Mean curvature Multivariate Gaussian Surface area Surface-based morphometry Cognitive Neuroscience functional connectivity mean curvature Essential tremor Multivariate Gaussian Gaussian mixture model Surface-based morphometry Cortical thickness Surface area Mean curvature Head tremor Hand tremor Heterogeneity surface area gyrification cortical thickness head tremor hand tremor onset essential tremor working-memory surface-based analysis Neurology voxel-based morphometry Radiology Nuclear Medicine and imaging Neurology (clinical) gaussian mixture model heterogeneity essential tremor multivariate gaussian [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology human cerebral-cortex |
| Zdroj: | Neuroimage-Clinical Neuroimage-Clinical, 2022, 37, ⟨10.1016/j.nicl.2022.103283⟩ NeuroImage. Clinical, vol. 37, pp. 103283 |
| ISSN: | 2213-1582 |
| DOI: | 10.1016/j.nicl.2022.103283⟩ |
| Popis: | Essential tremor (ET) is a prevalent movement disorder characterized by marked clinical heterogeneity. Here, we explored the morphometric underpinnings of this cross-subject variability on a cohort of 34 patients with right-dominant drug-resistant ET and 29 matched healthy controls (HCs). For each brain region, group-wise morphometric data was modelled by a multivariate Gaussian to account for morphometric features' (co)variance. No group differences were found in terms of mean values, highlighting the limits of more basic group comparison approaches. Variance in surface area was higher in ET in the left lingual and caudal anterior cingulate cortices, while variance in mean curvature was lower in the right superior temporal cortex and pars triangularis, left supramarginal gyrus and bilateral paracentral gyrus. Heterogeneity further extended to the right putamen, for which a mixture of two Gaussians fitted the ET data better than a single one. Partial Least Squares analysis revealed the rich clinical relevance of the ET population's heterogeneity: first, increased head tremor and longer symptoms' duration were accompanied by broadly lower cortical gyrification. Second, more severe upper limb tremor and impairments in daily life activities characterized the patients whose morphometric profiles were more atypical compared to the average ET population, irrespective of the exact nature of the alterations. Our results provide candidate morphometric substrates for two different types of clinical variability in ET. They also demonstrate the importance of relying on analytical approaches that can efficiently handle multivariate data and enable to test more sophisticated hypotheses regarding its organization. |
| Databáze: | OpenAIRE |
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