Title |
MRI-detected white matter lesions: do they really matter?
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Published in |
Journal of Neural Transmission, February 2011
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DOI | 10.1007/s00702-011-0594-9 |
Pubmed ID | |
Authors |
Reinhold Schmidt, Anja Grazer, Christian Enzinger, Stefan Ropele, Nina Homayoon, Aga Pluta-Fuerst, Petra Schwingenschuh, Petra Katschnig, Margherita Cavalieri, Helena Schmidt, Christian Langkammer, Franz Ebner, Franz Fazekas |
Abstract |
Despite extensive research over the last decades the clinical significance of white matter lesions (WMLs) is still a matter of debate. Here, we review current knowledge of the correlation between WMLs and cognitive functioning as well as their predictive value for future stroke, dementia, and functional decline in activities of daily living. There is clear evidence that age-related WMLs relate to all of these outcomes on a group level, but the inter-individual variability is high. The association between WMLs and clinical phenotypes exists particularly for early confluent to confluent changes, which are ischaemic in aetiology and progress quickly over time. One reason for the variability of the relationship between WMLs and clinic on an individual level is probably the complexity of the association. Numerous factors such as cognitive reserve, concomitant loss of brain volume, and ultrastructural changes have been identified as mediators between white matter damage and clinical findings, and need to be incorporated in the consideration of WMLs as visible markers of these detrimental processes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 4% |
Austria | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Malaysia | 1 | <1% |
Denmark | 1 | <1% |
Canada | 1 | <1% |
Japan | 1 | <1% |
Haiti | 1 | <1% |
Other | 0 | 0% |
Unknown | 89 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 18% |
Student > Ph. D. Student | 16 | 16% |
Student > Master | 15 | 15% |
Student > Doctoral Student | 8 | 8% |
Student > Bachelor | 8 | 8% |
Other | 22 | 22% |
Unknown | 14 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 36% |
Psychology | 18 | 18% |
Neuroscience | 10 | 10% |
Agricultural and Biological Sciences | 4 | 4% |
Computer Science | 4 | 4% |
Other | 12 | 12% |
Unknown | 17 | 17% |