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Uncovering the Neural Bases of Mood and Anxiety Disorders: Activity, Static and Dynamic Connectivity, and Machine Learning Approaches
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Uncovering the Neural Bases of Mood and Anxiety Disorders: Activity, Static and Dynamic Connectivity, and Machine Learning Approaches. |
| 개인저자 | Young, Christina B. |
| 단체저자명 | Northwestern University. Psychology. |
| 발행사항 | [S.l.]: Northwestern University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 194 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438115835 |
| 학위논문주기 | Thesis (Ph.D.)--Northwestern University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Robin Nusslock. |
| 요약 | Functional magnetic resonance imaging (fMRI) is a powerful tool that can be used to examine the role of brain regions and networks in the pathophysiology of psychiatric disorders. This dissertation applies a range of methodological techniques to |
| 일반주제명 | Clinical psychology. Neurosciences. Artificial intelligence. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
