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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Review of Transcranial Magnetic Stimulation and Multimodal Neuroimaging to Characterize Post-Stroke Neuroplasticity
|
|---|---|
| Published in |
Frontiers in Neurology, October 2015
|
| DOI | 10.3389/fneur.2015.00226 |
| Pubmed ID | |
| Authors |
Angela M. Auriat, Jason L. Neva, Sue Peters, Jennifer K. Ferris, Lara A. Boyd |
| Abstract |
Following stroke, the brain undergoes various stages of recovery where the central nervous system can reorganize neural circuitry (neuroplasticity) both spontaneously and with the aid of behavioral rehabilitation and non-invasive brain stimulation. Multiple neuroimaging techniques can characterize common structural and functional stroke-related deficits, and importantly, help predict recovery of function. Diffusion tensor imaging (DTI) typically reveals increased overall diffusivity throughout the brain following stroke, and is capable of indexing the extent of white matter damage. Magnetic resonance spectroscopy (MRS) provides an index of metabolic changes in surviving neural tissue after stroke, serving as a marker of brain function. The neural correlates of altered brain activity after stroke have been demonstrated by abnormal activation of sensorimotor cortices during task performance, and at rest, using functional magnetic resonance imaging (fMRI). Electroencephalography (EEG) has been used to characterize motor dysfunction in terms of increased cortical amplitude in the sensorimotor regions when performing upper limb movement, indicating abnormally increased cognitive effort and planning in individuals with stroke. Transcranial magnetic stimulation (TMS) work reveals changes in ipsilesional and contralesional cortical excitability in the sensorimotor cortices. The severity of motor deficits indexed using TMS has been linked to the magnitude of activity imbalance between the sensorimotor cortices. In this paper, we will provide a narrative review of data from studies utilizing DTI, MRS, fMRI, EEG, and brain stimulation techniques focusing on TMS and its combination with uni- and multimodal neuroimaging methods to assess recovery after stroke. Approaches that delineate the best measures with which to predict or positively alter outcomes will be highlighted. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 23% |
| United States | 3 | 23% |
| United Kingdom | 2 | 15% |
| Switzerland | 1 | 8% |
| Qatar | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Spain | 2 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 350 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 19% |
| Researcher | 55 | 15% |
| Student > Master | 53 | 15% |
| Student > Bachelor | 41 | 11% |
| Student > Doctoral Student | 20 | 6% |
| Other | 53 | 15% |
| Unknown | 67 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 86 | 24% |
| Medicine and Dentistry | 64 | 18% |
| Engineering | 30 | 8% |
| Nursing and Health Professions | 29 | 8% |
| Psychology | 25 | 7% |
| Other | 37 | 10% |
| Unknown | 88 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 April 2018.
All research outputs
#4,436,174
of 25,706,302 outputs
Outputs from Frontiers in Neurology
#3,737
of 14,766 outputs
Outputs of similar age
#55,998
of 296,244 outputs
Outputs of similar age from Frontiers in Neurology
#26
of 62 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,766 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 296,244 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 62 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 58% of its contemporaries.