MARC보기
LDR01729nam u200421 4500
001000000418176
00520190215162638
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438115835
035 ▼a (MiAaPQ)AAI10634040
035 ▼a (MiAaPQ)northwestern:13916
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 157
1001 ▼a Young, Christina B.
24510 ▼a Uncovering the Neural Bases of Mood and Anxiety Disorders: Activity, Static and Dynamic Connectivity, and Machine Learning Approaches.
260 ▼a [S.l.]: ▼b Northwestern University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 194 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Robin Nusslock.
5021 ▼a Thesis (Ph.D.)--Northwestern University, 2018.
520 ▼a 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
590 ▼a School code: 0163.
650 4 ▼a Clinical psychology.
650 4 ▼a Neurosciences.
650 4 ▼a Artificial intelligence.
690 ▼a 0622
690 ▼a 0317
690 ▼a 0800
71020 ▼a Northwestern University. ▼b Psychology.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0163
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996663 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033