상세정보
Export to Refworks부가기능
Neural Investigations of Anxiety: Identifying Biomarkers and Bolstering Treatment
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Neural Investigations of Anxiety: Identifying Biomarkers and Bolstering Treatment. |
| 개인저자 | Boeke, Emily A. |
| 단체저자명 | New York University. Psychology. |
| 발행사항 | [S.l.]: New York University., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 184 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-02B. Dissertation Abstract International |
| ISBN | 9781085670975 |
| 학위논문주기 | Thesis (Ph.D.)--New York University, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Advisor: Phelps, Elizabeth A. |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 요약 | Since the early days of experimental psychology, researchers have sought to understand the psychological and neural basis for anxiety disorders, which are characterized by excessive emotional reactions to real or perceived threats. Two paths to investigation of the psychological and neural basis of anxiety and its treatment are a) the use of preclinical models, such as Pavlovian threat conditioning and extinction, and b) the direct study of anxious symptomatology/traits in humans with neuroimaging tools. After reviewing evidence gleaned from these two approaches, I present 3 empirical studies aimed at elucidating the neural substrates of anxiety and its attenuation. Chapters 1 and 2 investigate the effect of instrumental control on subsequent Pavlovian conditioned threat responding. The research in these chapters utilized a signaled active avoidance paradigm, where subjects prevent an aversive stimulus from following a cue by performing an action. The subjects' subsequent threat responses are compared to subjects who underwent passive extinction, a model for a common anxiety treatment. Using varied methods, we probed the neural mechanisms of active avoidance and its effects on Pavlovian conditioned responding. In chapter 3, we attempt to leverage machine learning tools to predict individual variation in trait anxiety from multimodal neuroimaging data in a large, publicly available sample of healthy individuals. The study provides a roadmap for building reproducible psychiatric biomarkers from neuroimaging data. Collectively, these studies work towards the goals of biomarker identification and improving treatment for anxiety disorders. |
| 일반주제명 | Cognitive psychology. Psychology. Neurosciences. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
