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Traditional EEG measures and tempora...
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ProQuest Information and Learning Co.
Traditional EEG measures and temporal patterns of neural network synchronization in veterans with and without mild traumatic brain injury and posttraumatic stress disorder.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Traditional EEG measures and temporal patterns of neural network synchronization in veterans with and without mild traumatic brain injury and posttraumatic stress disorder./
作者:
Abell, Malene.
面頁冊數:
1 online resource (144 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
標題:
Clinical psychology. -
電子資源:
click for full text (PQDT)
ISBN:
9781369480894
Traditional EEG measures and temporal patterns of neural network synchronization in veterans with and without mild traumatic brain injury and posttraumatic stress disorder.
Abell, Malene.
Traditional EEG measures and temporal patterns of neural network synchronization in veterans with and without mild traumatic brain injury and posttraumatic stress disorder.
- 1 online resource (144 pages)
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Thesis (Ph.D.)--Indiana University, 2016.
Includes bibliographical references
Objective: Mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) are among the more frequent health issues in veterans returning from the current conflicts in the Middle East. Overlapping symptom profiles and absent biomarkers, make diagnoses and interventions of these pathologies difficult. As they are also frequently co-occurring there is increasing need for understanding how each pathology affects the symptoms of the other.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369480894Subjects--Topical Terms:
649607
Clinical psychology.
Index Terms--Genre/Form:
554714
Electronic books.
Traditional EEG measures and temporal patterns of neural network synchronization in veterans with and without mild traumatic brain injury and posttraumatic stress disorder.
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Traditional EEG measures and temporal patterns of neural network synchronization in veterans with and without mild traumatic brain injury and posttraumatic stress disorder.
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Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
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Adviser: William P. Hetrick.
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Thesis (Ph.D.)--Indiana University, 2016.
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Includes bibliographical references
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Objective: Mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD) are among the more frequent health issues in veterans returning from the current conflicts in the Middle East. Overlapping symptom profiles and absent biomarkers, make diagnoses and interventions of these pathologies difficult. As they are also frequently co-occurring there is increasing need for understanding how each pathology affects the symptoms of the other.
520
$a
Currently, diagnoses rely mostly on self-report measures further confounding clinical distinction. Traditional analyses of electroencephalography (EEG) have provided some indication that asymmetries in activation patterns in subjects with PTSD might be a physiological indicator of this disorder, and in TBI, EEG have been associated with a general slowing in more severe injuries. The purpose of this study is to examine both traditional and emerging analysis methods of EEG in veterans with either mTBI, PTSD, both or neither, to assess novel analyses methods for incremental validity in the assessment of mTBI and PTSD.
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Methods: EEG from veterans with mTBI, PTSD, both and neither were examined for power asymmetries in the alpha-band as well as overall power of slow frequencies. Furthermore, synchronization likelihood, a non-linear measure of synchrony between electrode sites, and microstates, a measure of temporal patterns in scalp topography, were examined for incremental validity.
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Results: Power asymmetries in the alpha-band did not differ significantly for subjects with PTSD, nor did overall power in delta or theta band differ in subjects with TBI. However, delta power was found to be significantly right lateralized in the central region in subjects with TBI. Synchronization was significantly higher in subjects with PTSD than in controls in central regions and lower in the theta-band overall in subjects with comorbid PTSD and TBI, but not in TBI without PTSD. Microstate A was sensitive to both pathologies but not specific to either.
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Conclusion: traditional power analyses appear to be the most sensitive to TBI, whereas synchronization likelihood appears more sensitive to PTSD. Novel EEG analyses did add incremental validity but will need further development to prove useful in either research or clinical settings.
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