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  Morphometry demonstrates loss of cortical thickness in cerebral microangiopathy

Preul, C., Lohmann, G., Hund-Georgiadis, M., Guthke, T., & von Cramon, D. Y. (2005). Morphometry demonstrates loss of cortical thickness in cerebral microangiopathy. Journal of Neurology, 252(4), 441-447. doi:10.1007/s00415-005-0671-9.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-C7FB-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-285C-B
Genre: Journal Article

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preul_morphometry.pdf (Publisher version), 309KB
 
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 Creators:
Preul, Christoph1, Author              
Lohmann, Gabriele1, Author              
Hund-Georgiadis, Margret1, Author              
Guthke, Thomas2, Author              
von Cramon, D. Yves1, Author              
Affiliations:
1Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              
2External Organizations, ou_persistent22              

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Free keywords: MR–morphometry; Cerebral microangiopathy; Cortical thickness
 Abstract: Objective To evaluate the role of MR morphometry in the characterization of cerebral microangiopathy (CMA) in relation to clinical and neuropsychological impairment. Subjects and Methods 3D MR images of 27 patients and 27 age–matched controls were morphometrically analysed for regional thickness. The normalized values were related to the patients’ clinical and neuropsychological scores. The patients were categorised according to the amount of structural MR signal changes. A ventricle index reflecting internal atrophy was related to MR morphology and cortical thickness as an indicator for external atrophy. Results Cortical thickness was significantly reduced in the patients group (3.03mm ± 0.26 vs. 3.22mm ± 0.13 in controls, p = 0.001). The severest loss of cortical thickness occurred in severe CMA. Internal and external atrophy evolved in parallel and both showed a significant relationship with structural MR–abnormalities (p < 0.05; r = –0.7; r = 0.67; r = –0.74, respectively). Neuropsychological performance correlated strongly with the loss of cortical thickness. Conclusions Cortical thickness was identified as the most sensitive parameter to characterize CMA. A strong correlation was found of morphometric parameters to the severity of CMA based on a score derived from T2–weighted MRI. The degree of cortical atrophy was directly related to the degree of neuropsychological impairment. Our findings suggest that the cortical thickness is a valid marker in the structural and clinical characterization of CMA.

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Language(s): eng - English
 Dates: 2005
 Publication Status: Published in print
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 Identifiers: eDoc: 239420
Other: P6875
DOI: 10.1007/s00415-005-0671-9
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Title: Journal of Neurology
Source Genre: Journal
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Publ. Info: Berlin [etc.] : Springer
Pages: - Volume / Issue: 252 (4) Sequence Number: - Start / End Page: 441 - 447 Identifier: ISSN: 0340-5354
CoNE: https://pure.mpg.de/cone/journals/resource/110978979590419