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Graph Theoretical Analysis of Structural Covariance Reveals the Relevance of Visuospatial and Attentional Areas in Essential Tremor Recovery After Stereotactic Radiosurgical Thalamotomy.

Authors :
Bolton, Thomas A. W.
Van De Ville, Dimitri
Régis, Jean
Witjas, Tatiana
Girard, Nadine
Levivier, Marc
Tuleasca, Constantin
Source :
Frontiers in Aging Neuroscience; 5/23/2022, Vol. 14, p1-13, 13p
Publication Year :
2022

Abstract

Essential tremor (ET) is the most common movement disorder. Its pathophysiology is only partially understood. Here, we leveraged graph theoretical analysis on structural covariance patterns quantified from morphometric estimates for cortical thickness, surface area, and mean curvature in patients with ET before and one year after (to account for delayed clinical effect) ventro-intermediate nucleus (Vim) stereotactic radiosurgical thalamotomy. We further contrasted the observed patterns with those from matched healthy controls (HCs). Significant group differences at the level of individual morphometric properties were specific to mean curvature and the post-/pre-thalamotomy contrast, evidencing brain plasticity at the level of the targeted left thalamus, and of low-level visual, high-level visuospatial and attentional areas implicated in the dorsal visual stream. The introduction of cross-correlational analysis across pairs of morphometric properties strengthened the presence of dorsal visual stream readjustments following thalamotomy, as cortical thickness in the right lingual gyrus, bilateral rostral middle frontal gyrus, and left pre-central gyrus was interrelated with mean curvature in the rest of the brain. Overall, our results position mean curvature as the most relevant morphometric feature to understand brain plasticity in drug-resistant ET patients following Vim thalamotomy. They also highlight the importance of examining not only individual features, but also their interactions, to gain insight into the routes of recovery following intervention. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16634365
Volume :
14
Database :
Complementary Index
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
157028910
Full Text :
https://doi.org/10.3389/fnagi.2022.873605