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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DTI measures track and predict motor function outcomes in stroke rehabilitation utilizing BCI technology
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, April 2015
|
| DOI | 10.3389/fnhum.2015.00195 |
| Pubmed ID | |
| Authors |
Jie Song, Veena A. Nair, Brittany M. Young, Leo M. Walton, Zack Nigogosyan, Alexander Remsik, Mitchell E. Tyler, Dorothy Farrar-Edwards, Kristin E. Caldera, Justin A. Sattin, Justin C. Williams, Vivek Prabhakaran |
| Abstract |
Tracking and predicting motor outcomes is important in determining effective stroke rehabilitation strategies. Diffusion tensor imaging (DTI) allows for evaluation of the underlying structural integrity of brain white matter tracts and may serve as a potential biomarker for tracking and predicting motor recovery. In this study, we examined the longitudinal relationship between DTI measures of the posterior limb of the internal capsule (PLIC) and upper-limb motor outcomes in 13 stroke patients (median 20-month post-stroke) who completed up to 15 sessions of intervention using brain-computer interface (BCI) technology. Patients' upper-limb motor outcomes and PLIC DTI measures including fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD) were assessed longitudinally at four time points: pre-, mid-, immediately post- and 1-month-post intervention. DTI measures and ratios of each DTI measure comparing the ipsilesional and contralesional PLIC were correlated with patients' motor outcomes to examine the relationship between structural integrity of the PLIC and patients' motor recovery. We found that lower diffusivity and higher FA values of the ipsilesional PLIC were significantly correlated with better upper-limb motor function. Baseline DTI ratios were significantly correlated with motor outcomes measured immediately post and 1-month-post BCI interventions. A few patients achieved improvements in motor recovery meeting the minimum clinically important difference (MCID). These findings suggest that upper-limb motor recovery in stroke patients receiving BCI interventions relates to the microstructural status of the PLIC. Lower diffusivity and higher FA measures of the ipsilesional PLIC contribute toward better motor recovery in the stroke-affected upper-limb. DTI-derived measures may be a clinically useful biomarker in tracking and predicting motor recovery in stroke patients receiving BCI interventions. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 143 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 21% |
| Researcher | 22 | 15% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 12 | 8% |
| Student > Postgraduate | 9 | 6% |
| Other | 27 | 19% |
| Unknown | 25 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 22% |
| Neuroscience | 30 | 21% |
| Nursing and Health Professions | 13 | 9% |
| Engineering | 13 | 9% |
| Psychology | 9 | 6% |
| Other | 23 | 16% |
| Unknown | 25 | 17% |
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 29 June 2015.
All research outputs
#15,327,280
of 22,796,179 outputs
Outputs from Frontiers in Human Neuroscience
#5,262
of 7,145 outputs
Outputs of similar age
#157,555
of 265,245 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#146
of 186 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 265,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.