Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
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Hierarchical Dynamic Causal Modeling of Resting-State fMRI Reveals Longitudinal Changes in Effective Connectivity in the Motor System after Thalamotomy for Essential Tremor.Advances in optogenetic and chemogenetic methods to study brain circuits in non-human primates.Causal evidence for lateral prefrontal cortex dynamics supporting cognitive control.Editorial: Mapping Psychopathology with fMRI and Effective Connectivity Analysis.Illuminating Neural Circuits: From Molecules to MRI.Multimodal Functional Neuroimaging by Simultaneous BOLD fMRI and Fiber-Optic Calcium Recordings and Optogenetic Control.Optogenetic fMRI and electrophysiological identification of region-specific connectivity between the cerebellar cortex and forebrain.Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man
P2860
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P2860
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
description
2017 nî lūn-bûn
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2017年の論文
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name
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@en
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@nl
type
label
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@en
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@nl
prefLabel
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@en
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@nl
P2093
P2860
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P1476
Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
@en
P2093
Andrew J Weitz
David Bernal-Casas
Hyun Joo Lee
Jin Hyung Lee
P2860
P304
522-532.e5
P356
10.1016/J.NEURON.2016.12.035
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P577
2017-01-23T00:00:00Z