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Virtual reality and robotic based training for the upper limb in the acute and early sub-acute periods post-stroke

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TitleInfo
Title
Virtual reality and robotic based training for the upper limb in the acute and early sub-acute periods post-stroke
Name (type = personal)
NamePart (type = family)
Patel
NamePart (type = given)
Jigna
NamePart (type = date)
1970-
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Jigna Patel
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RoleTerm (authority = RULIB)
author
Name (type = personal)
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Gerard G
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Gerard G Fluet
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Advisory Committee
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chair
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Merians
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Alma S
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Alma S Merians
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Advisory Committee
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co-chair
Name (type = personal)
NamePart (type = family)
Adamovich
NamePart (type = given)
Sergei A
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Sergei A Adamovich
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Tunik
NamePart (type = given)
Eugene
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Eugene Tunik
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Health Professions
Role
RoleTerm (authority = RULIB)
school
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Text
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theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2020
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2020-01
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Background
Stroke is a leading cause of long-term disability in adults. Functional use of the upper limb, specifically the hand, is essential for independent living. Despite important research efforts, many individuals do not regain long-term upper limb function after sustaining a stroke. Collectively, the work presented here addresses key issues in stroke rehabilition for the upper limb - namely, evaluation of a novel training protocol for persons with severe impairment, determining the effects of a higher dose of upper limb training initiated in the acute and early sub-acute period post-stroke, and assessing the validity and effectiveness of two influential prediction models for stroke.

Methods
All studies were initiated within the first month post-stroke to take advantage of the unique neuroplasticity occurring at that time and were conducted on an inpatient rehabilitation unit. The first study was a longitudinal study which included five individuals with severe hand paresis post-stroke. This study evaluated the feasibility and outcomes of a priming method that utilized mirror visual feedback and contralateral passive range of motion combined with a force modulation task in persons with severe hand impairment. The outcomes included the Upper Extremity Fugl-Meyer Assessment (UEFMA), the Action Research Arm test (ARAT), maximum pinch force, and bilateral maps of cortical reorganization via Transcranial Magnetic Stimulation (TMS). The second study was a non-randomized, two armed intervention study that evaluated the benefits of eight additional hours of intensive upper limb training with individuals with moderate arm paresis. There were seven subjects in the Virtual Reality(VR)/robotic treatment group, and six in the control group. Outcomes included the Wolf Motor Function Test, the UEFMA, wrist AROM, and maximum pinch force, as well as bilateral maps of cortical organization using TMS. Lastly, the third study evaluated the validity and methodology of two influential prediction models for stroke – the Proportional Recovery Rule and the Predicted Recovery Potential (PREP2) algorithm.

Results
For the first study, results showed feasibility of performing this training so early after stroke, as well as clinically significant long-term gains on all clinical measures in this group. However, without a control group it was not possible to determine how much of these gains were from the additional training or from biological recovery combined with the usual care they were concurrently receiving. The second study showed the feasibility of performing intense hand focused upper limb training and multiple clinical and neurophysiologic tests within the first month post-stroke. Importantly, it also showed that an extra eight hours of intensive VR/robotic based upper limb training led to significantly greater gains in long-term impairment compared to usual care. For the third study, trends showed that additional training initiated within one month post lesion may allow for greater than predicted proportional recovery in persons with functional Corticospinal Tracts. The study results also showed that further evaluation of the method used to determine the presence of motor evoked potentials (an indicator of Corticospinal tract function) for the PREP2 algorithm is justified.

Conclusion
Although preliminary in nature, the results presented here may be useful for future development of effective upper limb training protocols for rehabilitation in the acute and early sub-acute periods for persons at all levels of impairment post-stroke.
Subject (authority = RUETD)
Topic
Health Sciences
Subject (authority = local)
Topic
Stroke
Subject (authority = LCSH)
Topic
Cerebrovascular disease -- Patients -- Rehabilitation
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_10399
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application/pdf
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text/xml
Extent
1 online resource (179 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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TitleInfo
Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-6r8n-5423
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Patel
GivenName
Jigna
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-10-14 11:25:08
AssociatedEntity
Name
Jigna Patel
Role
Copyright holder
Affiliation
Rutgers University. School of Health Professions
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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windows xp
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2019-10-16T13:50:02
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2019-10-16T13:50:02
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