| Title |
Does Stroke Imaging Provide Insights into the Neural Basis of Cognition?
|
|---|---|
| Published in |
Current Neurology and Neuroscience Reports, June 2015
|
| DOI | 10.1007/s11910-015-0570-0 |
| Pubmed ID | |
| Authors |
Paresh A. Malhotra, Charlotte Russell |
| Abstract |
Since the advent of in vivo imaging, first with CT, and then MRI, structural neuroimaging in patients has been widely used as a tool to explore the neural correlates of a wide variety of cognitive functions. Findings from studies using this methodology have formed a core component of current accounts of cognition, but there are a number of problematic issues related to inferring cognitive functions from structural imaging data in stroke and more generally, lesion-based neuropsychology as a whole. This review addresses these concerns in the context of spatial neglect, a common disorder most frequently encountered following right hemisphere stroke. Recent literature, including attempts to address some of these questions, is discussed. Novel approaches and findings from related fields that may help to put stroke-based lesion mapping studies into perspective are reviewed, allowing critical but constructive evaluation of previous work in the field. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| United States | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 39 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Researcher | 6 | 14% |
| Student > Master | 6 | 14% |
| Lecturer | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 26% |
| Medicine and Dentistry | 9 | 21% |
| Neuroscience | 5 | 12% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 September 2017.
All research outputs
#6,371,860
of 22,815,414 outputs
Outputs from Current Neurology and Neuroscience Reports
#334
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Outputs of similar age
#74,529
of 263,968 outputs
Outputs of similar age from Current Neurology and Neuroscience Reports
#12
of 22 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 914 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 63% of its peers.
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