Mitchell E Tyler
Overview
Explore the profile of Mitchell E Tyler including associated specialties, affiliations and a list of published articles.
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Articles
17
Citations
305
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Recent Articles
1.
Acuna S, Tyler M, Thelen D
Neurorehabil Neural Repair
. 2022 Mar;
36(4-5):317-327.
PMID: 35321610
Background: Synergy analysis provides a means of quantifying the complexity of neuromuscular control during gait. Prior studies have shown evidence of reduced neuromuscular complexity during gait in individuals with neurological...
2.
Acuna S, Tyler M, Danilov Y, Thelen D
Gait Posture
. 2018 Apr;
62:510-517.
PMID: 29684885
Background: Gait and balance disorders are common among individuals who have experienced a mild to moderate traumatic brain injury (TBI). However, little is known about how the neuromuscular control of...
3.
Kaczmarek K, Tyler M, Okpara U, Haase S
IEEE Trans Neural Syst Rehabil Eng
. 2017 May;
25(11):2067-2074.
PMID: 28504942
Sensations elicited by electrical stimulation of touch are multidimensional, varying in perceived intensity and quality in response to changes in stimulus current or waveform timing. This paper manipulated both current...
4.
Young B, Stamm J, Song J, Remsik A, Nair V, Tyler M, et al.
Front Hum Neurosci
. 2016 Oct;
10:457.
PMID: 27695404
Brain-computer interface (BCI) devices are being investigated for their application in stroke rehabilitation, but little is known about how structural changes in the motor system relate to behavioral measures with...
5.
Young B, Nigogosyan Z, Walton L, Remsik A, Song J, Nair V, et al.
Front Hum Neurosci
. 2015 Jul;
9:361.
PMID: 26157378
Brain-computer interfaces (BCIs) are an emerging novel technology for stroke rehabilitation. Little is known about how dose-response relationships for BCI therapies affect brain and behavior changes. We report preliminary results...
6.
Song J, Nair V, Young B, Walton L, Nigogosyan Z, Remsik A, et al.
Front Hum Neurosci
. 2015 May;
9:195.
PMID: 25964753
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...
7.
Song J, Young B, Nigogosyan Z, Walton L, Nair V, Grogan S, et al.
Front Neuroeng
. 2014 Aug;
7:31.
PMID: 25120466
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...
8.
Young B, Nigogosyan Z, Walton L, Song J, Nair V, Grogan S, et al.
Front Neuroeng
. 2014 Aug;
7:26.
PMID: 25076886
This study aims to examine the changes in task-related brain activity induced by rehabilitative therapy using brain-computer interface (BCI) technologies and whether these changes are relevant to functional gains achieved...
9.
Young B, Nigogosyan Z, Remsik A, Walton L, Song J, Nair V, et al.
Front Neuroeng
. 2014 Jul;
7:25.
PMID: 25071547
Brain-computer interface (BCI) technology is being incorporated into new stroke rehabilitation devices, but little is known about brain changes associated with its use. We collected anatomical and functional MRI of...
10.
Young B, Nigogosyan Z, Nair V, Walton L, Song J, Tyler M, et al.
Front Neuroeng
. 2014 Jul;
7:18.
PMID: 25009491
Therapies involving new technologies such as brain-computer interfaces (BCI) are being studied to determine their potential for interventional rehabilitation after acute events such as stroke produce lasting impairments. While studies...