Title |
Cognitive impairment in cerebellar lesions: a logit model based on neuropsychological testing
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Published in |
Cerebellum & Ataxias, July 2017
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DOI | 10.1186/s40673-017-0071-9 |
Pubmed ID | |
Authors |
Eva Bolceková, Matej Mojzeš, Quang Van Tran, Jaromír Kukal, Svatopluk Ostrý, Petr Kulišťák, Robert Rusina |
Abstract |
Damage to the cerebellum may lead to motor dysfunctions, but also to the neuropsychological deficits that comprise the Cerebellar Cognitive Affective Syndrome (CCAS). It can affect executive functions, attention, memory, visuospatial functions, language, and emotions. Our goal was to determine which neuropsychological tests could be effectively used to identify this syndrome during a short examination. Twenty-five patients with an isolated cerebellar lesion and 25 matched healthy controls were examined using an extensive neuropsychological battery. Logistic regression models and sub-models were computed for individual tests, as well as for the full battery. The best results were produced by a model combining patient education level, the number of errors on the California Verbal Learning Test, and time on Prague Stroop Test (Dots). Based on the results, we suggest that a condensed battery of neuropsychological tests can be used to detect CCAS. The tests are easy to administer and could be helpful in both research and clinical settings. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 60% |
United States | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 8 | 16% |
Student > Ph. D. Student | 7 | 14% |
Researcher | 7 | 14% |
Student > Doctoral Student | 4 | 8% |
Student > Master | 3 | 6% |
Other | 6 | 12% |
Unknown | 15 | 30% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 22% |
Neuroscience | 8 | 16% |
Psychology | 6 | 12% |
Nursing and Health Professions | 4 | 8% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 4 | 8% |
Unknown | 16 | 32% |