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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 …
Personalized whole-brain neural mass models reveal combined Aβ and tau hyperexcitable influences in Alzheimer's disease
Neuronal dysfunction and cognitive deterioration in Alzheimer's disease (AD) are likely
caused by multiple pathophysiological factors. However, mechanistic evidence in humans …
caused by multiple pathophysiological factors. However, mechanistic evidence in humans …
[HTML][HTML] Comparing hemodynamic models with DCM
The classical model of blood oxygen level-dependent (BOLD) responses by Buxton et
al.[Buxton, RB, Wong, EC, Frank, LR, 1998. Dynamics of blood flow and oxygenation …
al.[Buxton, RB, Wong, EC, Frank, LR, 1998. Dynamics of blood flow and oxygenation …
Frequency-selective control of cortical and subcortical networks by central thalamus
Central thalamus plays a critical role in forebrain arousal and organized behavior. However,
network-level mechanisms that link its activity to brain state remain enigmatic. Here, we …
network-level mechanisms that link its activity to brain state remain enigmatic. Here, we …
Model driven EEG/fMRI fusion of brain oscillations
This article reviews progress and challenges in model driven EEG/fMRI fusion with a focus
on brain oscillations. Fusion is the combination of both imaging modalities based on a …
on brain oscillations. Fusion is the combination of both imaging modalities based on a …
[HTML][HTML] Physiologically informed dynamic causal modeling of fMRI data
The functional MRI (fMRI) signal is an indirect measure of neuronal activity. In order to
deconvolve the neuronal activity from the experimental fMRI data, biophysical generative …
deconvolve the neuronal activity from the experimental fMRI data, biophysical generative …
Neurovascular coupling is brain region-dependent
Despite recent advances in alternative brain imaging technologies, functional magnetic
resonance imaging (fMRI) remains the workhorse for both medical diagnosis and primary …
resonance imaging (fMRI) remains the workhorse for both medical diagnosis and primary …
Total activation: fMRI deconvolution through spatio-temporal regularization
Confirmatory approaches to fMRI data analysis look for evidence for the presence of pre-
defined regressors modeling contributions to the voxel time series, including the BOLD …
defined regressors modeling contributions to the voxel time series, including the BOLD …
EEG-fMRI integration: a critical review of biophysical modeling and data analysis approaches
The diverse nature of cerebral activity, as measured using neuroimaging techniques, has
been recognised long ago. It seems obvious that using single modality recordings can be …
been recognised long ago. It seems obvious that using single modality recordings can be …