| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000432133 |
| 005 | | 20200224114110 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781085667395 |
| 035 | |
▼a (MiAaPQ)AAI13898802 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 152 |
| 100 | 1 |
▼a Dell'Italia, John. |
| 245 | 10 |
▼a Combining Functional and Structural Connectivity: A Preliminary Model for Healthy Volunteers and the Network Dynamics of Patients with Disorders of Consciousness. |
| 260 | |
▼a [S.l.]:
▼b University of California, Los Angeles.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 160 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
| 500 | |
▼a Advisor: Monti, Martin M. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a In this thesis, I identified and addressed four problems of network analyses: 1) arbitrary enforcing of network density, 2) network measures are not independent of each-other with three studies, 3) failure to account for structural information in shaping functional networks, and 4) network dynamics -- estimating network change over time. The first chapter introduces the problems and describes current methods within neuroimaging that attempt to address each problem. The second chapter introduces exponential random graph models (ERGM), which is a framework capable of addressing all four problems. The third chapter demonstrates the interaction of problem #2 and problem #3 on the estimation of functional in patients with disorders of consciousness (DOC) and Human Connectome Project (HCP) participants while allowing each patient and HCP to have both their functional and structural connectivity naturally vary (i.e., problem #1). The fourth and fifth chapters focused on the importance of network dynamics for DOC (i.e., problem #4). The fourth chapter describes the use of structural connectivity to investigate the network dynamics of formation and dissolution of connectivity associated with recovery of consciousness over complex behavior in patients with DOC. The fifth chapter describes the use of functional connectivity combined with structural connectivity metrics in a single model to investigate network dynamics in a smaller cohort of 12 patients with DOC. The sixth chapter describes general discussions about the final three chapters and possible future work. |
| 590 | |
▼a School code: 0031. |
| 650 | 4 |
▼a Cognitive psychology. |
| 650 | 4 |
▼a Neurosciences. |
| 650 | 4 |
▼a Psychobiology. |
| 650 | 4 |
▼a Behavioral psychology. |
| 650 | 4 |
▼a Physiological psychology. |
| 690 | |
▼a 0633 |
| 690 | |
▼a 0349 |
| 690 | |
▼a 0317 |
| 690 | |
▼a 0989 |
| 690 | |
▼a 0384 |
| 710 | 20 |
▼a University of California, Los Angeles.
▼b Psychology 0780. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0031 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491982
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |