| Title |
Superior temporal gyrus thickness correlates with cognitive performance in multiple sclerosis
|
|---|---|
| Published in |
Brain Structure and Function, July 2012
|
| DOI | 10.1007/s00429-012-0440-3 |
| Pubmed ID | |
| Authors |
Asaf Achiron, Joab Chapman, Sigal Tal, Eran Bercovich, Hararai Gil, Anat Achiron |
| Abstract |
Decreased cortical thickness that signifies gray matter pathology and its impact on cognitive performance is a research field with growing interest in relapsing-remitting multiple sclerosis (RRMS) and needs to be further elucidated. Using high-field 3.0 T MRI, three-dimensional T1-FSPGR (voxel size 1 × 1 × 1 mm) cortical thickness was measured in 82 regions in the left hemisphere (LH) and right hemisphere (RH) in 20 RRMS patients with low disease activity and in 20 age-matched healthy subjects that in parallel underwent comprehensive cognitive evaluation. The correlation between local cortical atrophy and cognitive performance was examined. We identified seven regions with cortical tissue loss that differed between RRMS and age-matched healthy controls. These regions were mainly located in the frontal and temporal lobes, specifically within the gyrus rectus, inferior frontal sulcus, orbital gyrus, parahippocampal gyrus, and superior temporal gyrus, with preferential left asymmetry. Increased cortical thickness was identified in two visual sensory regions, the LH inferior occipital gyrus, and the RH cuneus, implicating adaptive plasticity. Correlation analysis demonstrated that only the LH superior temporal gyrus thickness was associated with cognitive performance and its thickness correlated with motor skills (r = 0.65, p = 0.003), attention (r = 0.45, p = 0.042), and information processing speed (r = 0.50, p = 0.025). Our findings show that restricted cortical thinning occurs in RRMS patients with mild disease and that LH superior temporal gyrus atrophy is associated with cognitive dysfunction. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 24% |
| Student > Ph. D. Student | 18 | 20% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 16 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 27% |
| Neuroscience | 17 | 19% |
| Psychology | 8 | 9% |
| Agricultural and Biological Sciences | 7 | 8% |
| Sports and Recreations | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 23 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 July 2012.
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#19,702,729
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Outputs from Brain Structure and Function
#1,236
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Outputs of similar age
#129,727
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Outputs of similar age from Brain Structure and Function
#7
of 9 outputs
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