| Title |
Ageing and visual spatiotemporal processing
|
|---|---|
| Published in |
Experimental Brain Research, May 2015
|
| DOI | 10.1007/s00221-015-4314-9 |
| Pubmed ID | |
| Authors |
Karin S. Pilz, Marina Kunchulia, Khatuna Parkosadze, Michael H. Herzog |
| Abstract |
Ageing affects many visual functions. Here, we investigated the effects of ageing on vernier acuity and backward masking using the shine-through paradigm. We divided healthy older adults (>60 years) into two groups depending on whether vernier duration was comparable to younger adults (Older Adults 1) or not (Older Adults 2). Backward masking was deteriorated for Older Adults 2 but not for Older Adults 1. In addition, by using complex masking gratings, we found deficits in spatial and temporal vision in Older Adults 2, which cannot be explained by deteriorated visual acuity, pointing to cortical rather than retinal causes. Our results highlight the importance of taking into account individual differences in visual ageing research. In addition, our results have important implications for schizophrenia. Schizophrenia has been suggested to be a form of early brain ageing. Linking our current masking results in ageing to previous masking results in schizophrenia shows that schizophrenia is not a form of early ageing, at least not in the visual domain. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 2% |
| United Kingdom | 1 | 2% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 37 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Master | 7 | 17% |
| Student > Ph. D. Student | 6 | 15% |
| Professor | 2 | 5% |
| Other | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 34% |
| Neuroscience | 6 | 15% |
| Agricultural and Biological Sciences | 4 | 10% |
| Medicine and Dentistry | 3 | 7% |
| Sports and Recreations | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 29% |
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 25 May 2015.
All research outputs
#14,226,014
of 22,807,037 outputs
Outputs from Experimental Brain Research
#1,758
of 3,226 outputs
Outputs of similar age
#138,477
of 266,611 outputs
Outputs of similar age from Experimental Brain Research
#18
of 65 outputs
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We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.