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Detail publikačního výsledku
SLAVÍČEK, T.; LAMOŠ, M.; GAJDOŠ, M.; MIKL, M.; JAN, J.
Originální název
Effects of imprecise signal extraction on posterior DCM parameters.
Anglický název
Druh
Abstrakt
Originální abstrakt
Dynamic causal modeling (DCM) is a method for analyzing effective connectivity in functional magnetic resonance imaging (fMRI) data. Specific parameters describing the generative model (involved regions, connections, modulatory effects, inputs, etc.) represent input to the DCM method. By inverting the forward model, DCM infers (hidden) neuronal processes using fitting to the experimentally measured signal (Kahan and Foltynie 2013). Then, correct localization and extraction of the brain signals from regions of interest (ROIs) directly influences the result. In our study, we compared two approaches for ROIs position specification (common vs. individual) and evaluated their sensitivity to random shifts of ROI position.
Anglický abstrakt
Klíčová slova
fMRI, DCM, effective connectivity, signal extraction, group statistics
Klíčová slova v angličtině
Autoři
Vydáno
12.06.2014
Kniha
20th Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2014.
Strany počet
3
URL
https://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&abs=3095
BibTex
@misc{BUT107932, author="Tomáš {Slavíček} and Martin {Lamoš} and Martin {Gajdoš} and Michal {Mikl} and Jiří {Jan}", title="Effects of imprecise signal extraction on posterior DCM parameters.", booktitle="20th Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2014.", year="2014", pages="3", url="https://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&abs=3095", note="Abstract" }