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Physiology of the extended amygdala
Descriptive
TitleInfo
Title
Physiology of the extended amygdala
Name
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Haufler
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Darrell
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1981-
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Darrell Haufler
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author
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Krekelberg
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Bart
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Bart Krekelberg
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Advisory Committee
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chair
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Morrell
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Joan
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Joan Morrell
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Advisory Committee
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internal member
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Tepper
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James
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James Tepper
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Advisory Committee
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internal member
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(type = family)
Pare
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Denis
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Denis Pare
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Advisory Committee
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internal member
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Bauer
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Elizabeth
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Elizabeth Bauer
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Advisory Committee
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outside member
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Rutgers University
Role
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degree grantor
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Graduate School - Newark
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theses
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ETD doctoral
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2017
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2017-10
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2017
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xx
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eng
Abstract
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Based on anatomical similarities, it has been argued that the amygdala, bed nucleus of the stria terminalis (BNST) and adjacent components of the basal forebrain constitute a single system, termed the extended amygdala, which plays a critical role in emotions. In the first part of this thesis, I studied the role of BNST in the genesis of conditioned fear by recording neurons in the anterolateral (AL) and anteromedial (AM) regions of BNST in rats. During habituation, few neurons were responsive to the conditioned stimulus (CS). After fear conditioning, 20% of BNST-AL neurons developed inhibitory responses to the CS. In BNST-AM, 26% of neurons developed positive CS responses. Activity of BNST-AM and AL neurons during contextual fear paralleled their CS responsiveness, suggesting they exert opposite influences on fear output networks. During these experiments, I observed a hitherto unreported rhythm at ~140 Hz (termed high frequency oscillations or HFOs) in the local field potential of BNST. The second part of my thesis characterized HFOs, revealing a systematic dependence on behavioral state, a pronounced relationship to extended amygdala unit activity, coherence between distant sites, and coupling with lower frequency gamma activity. However, the origin, and nature of the HFO-gamma relationship remained unclear. This was explored in the last part of my thesis. I found that HFOs and gamma are related through a generic phenomenon, manifest throughout the brain, whereby novel rhythms arise when signals combine in the presence of a non-linearity.
Subject
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Topic
Neuroscience
Subject
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Topic
Amygdaloid body--Physiology
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Rutgers University Electronic Theses and Dissertations
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ETD
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Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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ETD_8270
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doi:10.7282/T34T6NFK
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xvi, 149 p. : ill.)
Note
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Ph.D.
Note
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Includes bibliographical references
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by Darrell Haufler
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NjNbRU
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Rights
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The author owns the copyright to this work.
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Name
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Haufler
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Darrell
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Permission or license
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2017-07-31 22:31:55
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Darrell Haufler
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Affiliation
Rutgers University. Graduate School - Newark
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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.
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2018-09-10
DateTime
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2019-10-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2019.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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