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Attention Score in Context
| Title |
Characterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology
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|---|---|
| Published in |
Frontiers in Neuroengineering, July 2014
|
| DOI | 10.3389/fneng.2014.00031 |
| Pubmed ID | |
| Authors |
Jie Song, Brittany M. Young, Zack Nigogosyan, Leo M. Walton, Veena A. Nair, Scott W. Grogan, Mitchell E. Tyler, Dorothy Farrar-Edwards, Kristin E. Caldera, Justin A. Sattin, Justin C. Williams, Vivek Prabhakaran |
| Abstract |
The relationship of the structural integrity of white matter tracts and cortical activity to motor functional outcomes in stroke patients is of particular interest in understanding mechanisms of brain structural and functional changes while recovering from stroke. This study aims to probe these underlying mechanisms using diffusion tensor imaging (DTI) and fMRI measures. We examined the structural integrity of the posterior limb of the internal capsule (PLIC) using DTI and corticomotor activity using motor-task fMRI in stroke patients who completed up to 15 sessions of rehabilitation therapy using Brain-Computer Interface (BCI) technology. We hypothesized that (1) the structural integrity of PLIC and corticomotor activity are affected by stroke; (2) changes in structural integrity and corticomotor activity following BCI intervention are related to motor recovery; (3) there is a potential relationship between structural integrity and corticomotor activity. We found that (1) the ipsilesional PLIC showed significantly decreased fractional anisotropy (FA) values when compared to the contralesional PLIC; (2) lower ipsilesional PLIC-FA values were significantly associated with worse motor outcomes (i.e., ipsilesional PLIC-FA and motor outcomes were positively correlated.); (3) lower ipsilesional PLIC-FA values were significantly associated with greater ipsilesional corticomotor activity during impaired-finger-tapping-task fMRI (i.e., ipsilesional PLIC-FA and ipsilesional corticomotor activity were negatively correlated), with an overall bilateral pattern of corticomotor activity observed; and (4) baseline FA values predicted motor recovery assessed after BCI intervention. These findings suggest that (1) greater vs. lesser microstructural integrity of the ipsilesional PLIC may contribute toward better vs. poor motor recovery respectively in the stroke-affected limb and demand lesser vs. greater cortical activity respectively from the ipsilesional motor cortex; and that (2) PLIC-FA is a promising biomarker in tracking and predicting motor functional recovery in stroke patients receiving BCI intervention. |
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 % |
|---|---|---|
| Switzerland | 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Germany | 2 | 2% |
| India | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 115 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Researcher | 24 | 20% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 7 | 6% |
| Other | 14 | 12% |
| Unknown | 24 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 26 | 21% |
| Medicine and Dentistry | 15 | 12% |
| Engineering | 14 | 12% |
| Nursing and Health Professions | 8 | 7% |
| Psychology | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 34 | 28% |
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 27 May 2015.
All research outputs
#17,724,588
of 22,760,687 outputs
Outputs from Frontiers in Neuroengineering
#56
of 82 outputs
Outputs of similar age
#154,450
of 228,918 outputs
Outputs of similar age from Frontiers in Neuroengineering
#14
of 16 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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