| Title |
Preliminary evidence of reduced brain network activation in patients with post-traumatic migraine following concussion
|
|---|---|
| Published in |
Brain Imaging and Behavior, June 2015
|
| DOI | 10.1007/s11682-015-9412-6 |
| Pubmed ID | |
| Authors |
Anthony P. Kontos, Amit Reches, R. J. Elbin, Dalia Dickman, Ilan Laufer, Amir B. Geva, Galit Shacham, Ryan DeWolf, Michael W. Collins |
| Abstract |
Post-traumatic migraine (PTM) (i.e., headache, nausea, light and/or noise sensitivity) is an emerging risk factor for prolonged recovery following concussion. Concussions and migraine share similar pathophysiology characterized by specific ionic imbalances in the brain. Given these similarities, patients with PTM following concussion may exhibit distinct electrophysiological patterns, although researchers have yet to examine the electrophysiological brain activation in patients with PTM following concussion. A novel approach that may help differentiate brain activation in patients with and without PTM is brain network activation (BNA) analysis. BNA involves an algorithmic analysis applied to multichannel EEG-ERP data that provides a network map of cortical activity and quantitative data during specific tasks. A prospective, repeated measures design was used to evaluate BNA (during Go/NoGo task), EEG-ERP, cognitive performance, and concussion related symptoms at 1, 2, 3, and 4 weeks post-injury intervals among athletes with a medically diagnosed concussion with PTM (n = 15) and without (NO-PTM) (n = 22); and age, sex, and concussion history matched controls without concussion (CONTROL) (n = 20). Participants with PTM had significantly reduced BNA compared to NO-PTM and CONTROLS for Go and NoGo components at 3 weeks and for NoGo component at 4 weeks post-injury. The PTM group also demonstrated a more prominent deviation of network activity compared to the other two groups over a longer period of time. The composite BNA algorithm may be a more sensitive measure of electrophysiological change in the brain that can augment established cognitive assessment tools for detecting impairment in individuals with PTM. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 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% |
| India | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 153 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 18% |
| Student > Master | 20 | 13% |
| Other | 19 | 12% |
| Researcher | 18 | 11% |
| Student > Doctoral Student | 13 | 8% |
| Other | 28 | 18% |
| Unknown | 33 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 25% |
| Neuroscience | 15 | 9% |
| Psychology | 15 | 9% |
| Sports and Recreations | 11 | 7% |
| Nursing and Health Professions | 9 | 6% |
| Other | 22 | 14% |
| Unknown | 48 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 13 September 2020.
All research outputs
#2,604,760
of 22,815,414 outputs
Outputs from Brain Imaging and Behavior
#123
of 1,155 outputs
Outputs of similar age
#34,401
of 264,422 outputs
Outputs of similar age from Brain Imaging and Behavior
#4
of 33 outputs
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So far Altmetric has tracked 1,155 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 89% of its peers.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.