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Examining neural measures as treatment targets and predictors of change to exercise in depression

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Title
Examining neural measures as treatment targets and predictors of change to exercise in depression
Name (type = personal)
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Brush
NamePart (type = given)
Christopher J.
NamePart (type = date)
1992-
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Christopher J. Brush
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author
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Alderman
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Brandon L
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Brandon L Alderman
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Advisory Committee
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chair
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Campbell
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Sara C
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Sara C Campbell
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Advisory Committee
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internal member
Name (type = personal)
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Spaeth
NamePart (type = given)
Andrea M
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Andrea M Spaeth
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Leyro
NamePart (type = given)
Teresa M
DisplayForm
Teresa M Leyro
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 Graduate Studies
Role
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school
TypeOfResource
Text
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theses
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2019
DateOther (qualifier = exact); (type = degree)
2019-05
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2019
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Major depressive disorder (MDD) is a common and economically burdensome neuropsychiatric disorder characterized by the two cardinal features of low mood and anhedonia. These symptoms coincide with a wide range of secondary symptoms, including significant weight loss or weight gain, fatigue, feelings of worthlessness, and diminished ability to concentrate. While MDD is often diagnosed as a single disorder, it is a highly heterogeneous disease with poor treatment outcomes. Due to high symptom variability, matching an individual to optimal treatments is difficult and is a barrier to precision medicine approaches for clinical practice. Thus, identifying clinical and neurophysiological markers associated with treatment response or that can be altered as depressive symptoms change with treatment is critical. Aerobic exercise has garnered considerable support as a robust behavioral treatment intervention for MDD; however, the underlying neurophysiological mechanisms of action are not well understood. In study 1, we examined whether the reward positivity (RewP) event-related brain potential (ERP) component could be used to index abnormal reward processing in MDD, and whether this neurophysiological measure was correlated with depressive symptom severity. RewP amplitudes were significantly reduced among individuals with MDD relative to healthy, non-depressed controls, and this effect was moderated by depressive symptom severity, such that a smaller RewP was observed in individuals with greater depressive symptom severity. These findings demonstrate that individuals with MDD show impaired reward processing during the initial evaluation of a rewarding stimulus. In study 2, we examined two separate candidate neural markers of emotion, the RewP and late positive potential (LPP), following a single bout of moderate-intensity aerobic exercise in young adults with variable symptoms of depression. Acute exercise was shown to modify the LPP component, such that increased LPP amplitude to pleasantly valenced content was found following exercise relative to seated rest. Regardless of symptom severity, acute exercise did not modify RewP amplitude. Findings from this study suggest that these emotional processes are modifiable through exercise, suggesting potential targets for future exercise interventions. Lastly, in study 3 we examined the effects of an 8-week moderate-intensity aerobic exercise intervention performed three days per week on reward processing and cognitive control, two candidate transdiagnostic mechanisms that are disrupted in MDD. Significant reductions in depressive symptoms were found following both treatment arms, but were larger following moderate-intensity aerobic exercise relative to a light-intensity stretching condition. Pre-to-post changes in cognitive control (i.e., smaller error-related negativity [ERN]) were correlated with pre-to-post changes in depressive symptoms. ERN was also a significant predictor of treatment response; larger pre-treatment ERN amplitude was associated with a greater antidepressant treatment response. Although exercise did not impact RewP, larger pretreatment RewP amplitude was also associated with treatment response (≥ 50% pre-to-post treatment reduction in depressive symptoms). These findings highlight the use of exercise as an antidepressant treatment option for MDD, and suggest that differential patterns of reward processing and cognitive control may have utility for selecting appropriate treatments for individuals with MDD.
Subject (authority = local)
Topic
Anhedonia
Subject (authority = RUETD)
Topic
Kinesiology and Applied Physiology
Subject (authority = LCSH)
Topic
Depression, Mental -- Exercise therapy
Subject (authority = LCSH)
Topic
Depression, Mental -- Treatment
RelatedItem (type = host)
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Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_9665
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application/pdf
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text/xml
Extent
1 online resource (xx,121 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-xhbk-ag63
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
Brush
GivenName
Christopher
MiddleName
J.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-04-02 16:13:43
AssociatedEntity
Name
Christopher Brush
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2020-05-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-04-02T16:02:40
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