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  • Dynamic Causal Modelling (DCM), as one of methods for effective brain connectivity analysis allows us making inferences about neural processes that underlie measured functional magnetic resonance imaging (fMRI) data. The main goal is to estimate parameters of the neuronal system model, whose outputs correspond most precisely to observed blood oxygenation level dependent (BOLD) response. As DCM is not exploratory technique, we have to define a hypothesis, which contains information about inputs, connections and brain regions. This contribution deals with the effect of region coordinates selection on the DCM results.
  • Dynamic Causal Modelling (DCM), as one of methods for effective brain connectivity analysis allows us making inferences about neural processes that underlie measured functional magnetic resonance imaging (fMRI) data. The main goal is to estimate parameters of the neuronal system model, whose outputs correspond most precisely to observed blood oxygenation level dependent (BOLD) response. As DCM is not exploratory technique, we have to define a hypothesis, which contains information about inputs, connections and brain regions. This contribution deals with the effect of region coordinates selection on the DCM results. (en)
Title
  • Effect of region coordinates shifting on dynamic causal modelling results
  • Effect of region coordinates shifting on dynamic causal modelling results (en)
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  • Effect of region coordinates shifting on dynamic causal modelling results
  • Effect of region coordinates shifting on dynamic causal modelling results (en)
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  • RIV/00216305:26220/13:PU105524!RIV14-GA0-26220___
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  • P(GAP103/12/0552), S
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  • 71704
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  • RIV/00216305:26220/13:PU105524
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  • BOLD, fMRI, DCM, simulations, Monte-Carlo, MATLAB (en)
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  • [3ACCE299FDAD]
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  • Jan, Jiří
  • Lamoš, Martin
  • Mikl, Michal
  • Klímová, Jana
http://localhost/t...ganizacniJednotka
  • 26220
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