MARC보기
LDR02051nmm uu200397 4500
001000000331508
00520240805164526
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438281325
035 ▼a (MiAaPQ)AAI10928922
035 ▼a (MiAaPQ)columbia:14859
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 610
1001 ▼a Ma, Ying.
24510 ▼a Analysis of Resting-State Neurovascular Coupling and Locomotion-Associated Neural Dynamics Using Wide-Field Optical Mapping.
260 ▼a [S.l.] : ▼b Columbia University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 170 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Elizabeth M. C. Hillman.
5021 ▼a Thesis (Ph.D.)--Columbia University, 2018.
520 ▼a Understanding the relationship between neural activity and cortical hemodynamics, or neurovascular coupling is the foundation to interpret neuroimaging signals such as functional magnetic resonance imaging (fMRI) which measure local changes in h
520 ▼a To directly assess the cortical neurovascular coupling, simultaneous recordings of neural and hemodynamic activity were imaged by wide-field optical mapping (WFOM) over the bilateral dorsal surface of the mouse brain through a bilateral thinned-
520 ▼a A linear model between neural and hemodynamic signals was used to fit spatiotemporal hemodynamics can be predicted by convolving local fluorescence changes with hemodynamic response functions derived through both deconvolution and gamma-variate
590 ▼a School code: 0054.
650 4 ▼a Biomedical engineering.
690 ▼a 0541
71020 ▼a Columbia University. ▼b Biomedical Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0054
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000927 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자