| Title |
Spinal Cord Damage in Spinocerebellar Ataxia Type 1
|
|---|---|
| Published in |
The Cerebellum, April 2017
|
| DOI | 10.1007/s12311-017-0854-9 |
| Pubmed ID | |
| Authors |
Carlos Roberto Martins, Alberto Rolim Muro Martinez, Thiago Junqueira Ribeiro de Rezende, Lucas Melo Teixeira Branco, José Luiz Pedroso, Orlando G. P. Barsottini, Iscia Lopes-Cendes, Marcondes C. França |
| Abstract |
Spinocerebellar ataxia type 1 (SCA1) is an autosomal dominant disorder caused by a CAG repeat expansion, characterized by progressive cerebellar ataxia and pyramidal signs. Non-motor and extracerebellar symptoms may occur. MRI-based studies in SCA1 focused in the cerebellum and connections, but there are no data about cord damage in the disease and its clinical relevance. To evaluate in vivo spinal cord damage in SCA1, a group of 31 patients with SCA1 and 31 age- and gender-matched healthy controls underwent MRI on a 3T scanner. We used T1-weighted 3D images to estimate the cervical spinal cord area (CA) and eccentricity (CE) at three C2/C3 levels based on a semi-automatic image segmentation protocol. The scale for assessment and rating of ataxia (SARA) was used to quantify disease severity. The groups were significantly different regarding CA (47.26 ± 7.4 vs. 68.8 ± 5.7 mm2, p < 0.001) and CE values (0.803 ± 0.044 vs. 0.774 ± 0.043, p < 0.05). Furthermore, in the patient group, CA presented significant correlation with SARA scores (R = -0.633, p < 0.001) and CAGn expansion (R = -0.658, p < 0.001). CE was not associated with SARA scores (p = 0.431). In the multiple variable regression, CA was strongly associated with disease duration (coefficient -0.360, p < 0.05) and CAGn expansion (coefficient -1.124, p < 0.001). SCA1 is characterized by cervical cord atrophy and anteroposterior flattening. Morphometric analyses of the spinal cord MRI might be a useful biomarker in the disease. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 32% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Researcher | 2 | 6% |
| Professor | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Medicine and Dentistry | 3 | 10% |
| Nursing and Health Professions | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 10 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2018.
All research outputs
#14,802,545
of 23,975,976 outputs
Outputs from The Cerebellum
#375
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Outputs of similar age
#171,168
of 312,578 outputs
Outputs of similar age from The Cerebellum
#4
of 16 outputs
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