scholarly journals Dynamic causal modeling of hippocampal activity measured via mesoscopic voltage-sensitive dye imaging

NeuroImage ◽  
2020 ◽  
Vol 213 ◽  
pp. 116755
Author(s):  
Jiyoung Kang ◽  
Kyesam Jung ◽  
Jinseok Eo ◽  
Junho Son ◽  
Hae-Jeong Park
Keyword(s):  
Causal Modeling ◽  
Dynamic Causal Modeling ◽  
Voltage Sensitive Dye ◽  
Hippocampal Activity ◽  
Voltage Sensitive Dye Imaging

Craniotomy for Cortical Voltage-sensitive Dye Imaging in Mice

BIO-PROTOCOL ◽  
2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Takayuki Suzuki ◽  
Masanori Murayama
Keyword(s):  
Voltage Sensitive Dye ◽  
Voltage Sensitive Dye Imaging

scholarly journals Regression dynamic causal modeling for resting‐state fMRI

2021 ◽  
Author(s):  
Stefan Frässle ◽  
Samuel J. Harrison ◽  
Jakob Heinzle ◽  
Brett A. Clementz ◽  
Carol A. Tamminga ◽  
...  
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Causal Modeling ◽  
Dynamic Causal Modeling

A rigorous approach for testing the constructionist hypotheses of brain function

2012 ◽  
Vol 35 (3) ◽  
pp. 148-149 ◽  
Author(s):  
Gopikrishna Deshpande ◽  
K. Sathian ◽  
Xiaoping Hu ◽  
Joseph A. Buckhalt
Keyword(s):  
Granger Causality ◽  
Strong Evidence ◽  
Bayesian Modeling ◽  
Brain Function ◽  
Brain Regions ◽  
Causal Modeling ◽  
Dynamic Causal Modeling ◽  
Rigorous Approach ◽  
Target Article ◽  
Co Activation

AbstractAlthough the target article provides strong evidence against the locationist view, evidence for the constructionist view is inconclusive, because co-activation of brain regions does not necessarily imply connectivity between them. We propose a rigorous approach wherein connectivity between co-activated regions is first modeled using exploratory Granger causality, and then confirmed using dynamic causal modeling or Bayesian modeling.

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