LDR | | 02051nmm uu200397 4500 |
001 | | 000000331508 |
005 | | 20240805164526 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438281325 |
035 | |
▼a (MiAaPQ)AAI10928922 |
035 | |
▼a (MiAaPQ)columbia:14859 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 610 |
100 | 1 |
▼a Ma, Ying. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a Columbia University.
▼b Biomedical Engineering. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000927
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |