Investigating human neurovascular coupling using functional neuroimaging: a critical review of dynamic models
The mechanisms that link a transient neural activity to the corresponding increase of
cerebral blood flow (CBF) are termed neurovascular coupling (NVC). They are possibly …
cerebral blood flow (CBF) are termed neurovascular coupling (NVC). They are possibly …
EEG–fMRI integration for the study of human brain function
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have
proved to be extremely valuable tools for the non-invasive study of human brain function …
proved to be extremely valuable tools for the non-invasive study of human brain function …
Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling
AK Seth, P Chorley, LC Barnett - Neuroimage, 2013 - Elsevier
Granger causality is a method for identifying directed functional connectivity based on time
series analysis of precedence and predictability. The method has been applied widely in …
series analysis of precedence and predictability. The method has been applied widely in …
[HTML][HTML] Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG
This technical note presents a dynamic causal modelling (DCM) procedure for evaluating
different models of neurovascular coupling in the human brain–using combined …
different models of neurovascular coupling in the human brain–using combined …
[HTML][HTML] Bayesian fusion and multimodal DCM for EEG and fMRI
This paper asks whether integrating multimodal EEG and fMRI data offers a better
characterisation of functional brain architectures than either modality alone. This evaluation …
characterisation of functional brain architectures than either modality alone. This evaluation …
Determining excitatory and inhibitory neuronal activity from multimodal fMRI data using a generative hemodynamic model
Hemodynamic responses, in general, and the blood oxygenation level-dependent (BOLD)
fMRI signal, in particular, provide an indirect measure of neuronal activity. There is strong …
fMRI signal, in particular, provide an indirect measure of neuronal activity. There is strong …
Grey-box modeling and hypothesis testing of functional near-infrared spectroscopy-based cerebrovascular reactivity to anodal high-definition tDCS in healthy humans
Y Arora, P Walia, M Hayashibe… - PLoS computational …, 2021 - journals.plos.org
Transcranial direct current stimulation (tDCS) has been shown to evoke hemodynamics
response; however, the mechanisms have not been investigated systematically using …
response; however, the mechanisms have not been investigated systematically using …
Using TMS to study the role of the articulatory motor system in speech perception
R Möttönen, KE Watkins - Aphasiology, 2012 - Taylor & Francis
Background: The ability to communicate using speech is a remarkable skill, which requires
precise coordination of articulatory movements and decoding of complex acoustic signals …
precise coordination of articulatory movements and decoding of complex acoustic signals …
[HTML][HTML] Adiabatic dynamic causal modelling
This technical note introduces adiabatic dynamic causal modelling, a method for inferring
slow changes in biophysical parameters that control fluctuations of fast neuronal states. The …
slow changes in biophysical parameters that control fluctuations of fast neuronal states. The …
Contributions and complexities from the use of in vivo animal models to improve understanding of human neuroimaging signals
C Martin - Frontiers in neuroscience, 2014 - frontiersin.org
Many of the major advances in our understanding of how functional brain imaging signals
relate to neuronal activity over the previous two decades have arisen from physiological …
relate to neuronal activity over the previous two decades have arisen from physiological …