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Simultaneous EEG-fMRI: what have we learned and what does the future hold?
T Warbrick - Sensors, 2022 - mdpi.com
Simultaneous EEG-fMRI has developed into a mature measurement technique in the past
25 years. During this time considerable technical and analytical advances have been made …
25 years. During this time considerable technical and analytical advances have been made …
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 …
[HTML][HTML] The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5 T to 7T
Both electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are
non-invasive methods that show complementary aspects of human brain activity. Despite …
non-invasive methods that show complementary aspects of human brain activity. Despite …
An automatic pre-processing pipeline for EEG analysis (APP) based on robust statistics
Objective With the advent of high-density EEG and studies of large numbers of participants,
yielding increasingly greater amounts of data, supervised methods for artifact rejection have …
yielding increasingly greater amounts of data, supervised methods for artifact rejection have …
Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI
Electroencephalography (EEG) signals recorded during simultaneous functional magnetic
resonance imaging (fMRI) are contaminated by strong artifacts. Among these, the …
resonance imaging (fMRI) are contaminated by strong artifacts. Among these, the …
Excitatory–inhibitory balance within EEG microstates and resting-state fMRI networks: assessed via simultaneous trimodal PET–MR–EEG imaging
R Rajkumar, C Régio Brambilla, T Veselinović… - Translational …, 2021 - nature.com
The symbiosis of neuronal activities and glucose energy metabolism is reflected in the
generation of functional magnetic resonance imaging (fMRI) and electroencephalography …
generation of functional magnetic resonance imaging (fMRI) and electroencephalography …
The MotoNet: a 3 Tesla MRI-conditional EEG net with embedded motion sensors
We introduce a new electroencephalogram (EEG) net, which will allow clinicians to monitor
EEG while tracking head motion. Motion during MRI limits patient scans, especially of …
EEG while tracking head motion. Motion during MRI limits patient scans, especially of …
EEG synchronization measures predict epilepsy-related BOLD-fMRI fluctuations better than commonly used univariate metrics
Objective We hypothesize that the hypersynchronization associated with epileptic activity is
best described by EEG synchronization measures, and propose to use these as predictors of …
best described by EEG synchronization measures, and propose to use these as predictors of …
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 …