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Rojas Albert A, Backhaus W, Graterol Pérez JA, Braaβ H, Schön G, Choe CU, Feldheim J, Bönstrup M, Cheng B, Thomalla G, Gerloff C, Schulz R. Cortical thickness of contralesional cortices positively relates to future outcome after severe stroke. Cereb Cortex 2022; 32:5622-5627. [PMID: 35169830 DOI: 10.1093/cercor/bhac040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 01/25/2023] Open
Abstract
Imaging studies have evidenced that contralesional cortices are involved in recovery after motor stroke. Cortical thickness (CT) analysis has proven its potential to capture the changes of cortical anatomy, which have been related to recovery and treatment gains under therapy. An open question is whether CT obtained in the acute phase after stroke might inform correlational models to explain outcome variability. Data of 38 severely impaired (median NIH Stroke Scale 9, interquartile range: 6-13) acute stroke patients of 2 independent cohorts were reanalyzed. Structural imaging data were processed via the FreeSurfer pipeline to quantify regional CT of the contralesional hemisphere. Ordinal logistic regression models were fit to relate CT to modified Rankin Scale as an established measure of global disability after 3-6 months, adjusted for the initial deficit, lesion volume, and age. The data show that CT of contralesional cortices, such as the precentral gyrus, the superior frontal sulcus, and temporal and cingulate cortices, positively relates to the outcome after stroke. This work shows that the baseline cortical anatomy of selected contralesional cortices can explain the outcome variability after severe stroke, which further contributes to the concept of structural brain reserve with respect to contralesional cortices to promote recovery.
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Affiliation(s)
- Alina Rojas Albert
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Winifried Backhaus
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - José A Graterol Pérez
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Hanna Braaβ
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Chi-Un Choe
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Jan Feldheim
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Marlene Bönstrup
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.,Department of Neurology, University Medical Center, Leipzig 04103, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Robert Schulz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
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