EEG-informed fMRI: a review of data analysis methods
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
Localization of epileptic foci based on simultaneous EEG–fMRI data
Combining functional magnetic resonance imaging (fMRI) and electroencephalography
(EEG) enables a non-invasive investigation of the human brain function and evaluation of …
(EEG) enables a non-invasive investigation of the human brain function and evaluation of …
Disentangling dynamic networks: Separated and joint expressions of functional connectivity patterns in time
Resting‐state functional connectivity (FC) is highly variable across the duration of a scan.
Groups of coevolving connections, or reproducible patterns of dynamic FC (dFC), have been …
Groups of coevolving connections, or reproducible patterns of dynamic FC (dFC), have been …
Identification of epileptic brain states by dynamic functional connectivity analysis of simultaneous EEG-fMRI: a dictionary learning approach
Most fMRI studies of the brain's intrinsic functional connectivity (FC) have assumed that this
is static; however, it is now clear that it changes over time. This is particularly relevant in …
is static; however, it is now clear that it changes over time. This is particularly relevant in …
Pushing the limits of EEG: estimation of large-scale functional brain networks and their dynamics validated by simultaneous fMRI
Functional magnetic resonance imaging (fMRI) is the technique of choice for detecting large-
scale functional brain networks and to investigate their dynamics. Because fMRI measures …
scale functional brain networks and to investigate their dynamics. Because fMRI measures …
State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis
Electroencephalogram (EEG) microstate analysis entails finding dynamics of quasi-stable
and generally recurrent discrete states in multichannel EEG time series data and relating …
and generally recurrent discrete states in multichannel EEG time series data and relating …
Dynamic temporospatial patterns of functional connectivity and alterations in idiopathic generalized epilepsy
The dynamic profile of brain function has received much attention in recent years and is also
a focus in the study of epilepsy. The present study aims to integrate the dynamics of …
a focus in the study of epilepsy. The present study aims to integrate the dynamics of …
Graph-Theory-Based Multilevel Cortical Functional Connectivity Developmental Analysis
Functional connectivity (FC) is an efficient measurement to describe brain's traits in
information processing. But FCs at developmental stages from infancy to adolescence …
information processing. But FCs at developmental stages from infancy to adolescence …
Optimizing EEG source reconstruction with concurrent fMRI-derived spatial priors
Reconstructing EEG sources involves a complex pipeline, with the inverse problem being
the most challenging. Multiple inversion algorithms are being continuously developed …
the most challenging. Multiple inversion algorithms are being continuously developed …
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer …
N Nandakumar, D Hsu, R Ahmed… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Localizing the epileptogenic zone (EZ) is a critical step in the treatment of medically
refractory epilepsy. Resting-state fMRI (rs-fMRI) offers a new window into this task by …
refractory epilepsy. Resting-state fMRI (rs-fMRI) offers a new window into this task by …