[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review

CM Michel, T Koenig - Neuroimage, 2018 - Elsevier
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …

[HTML][HTML] 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 …

Modalities, modes, and models in functional neuroimaging

KJ Friston - Science, 2009 - science.org
In this, the 21st century, human-brain mapping celebrates 21 years of cognitive activation
studies. This review looks at imaging neuroscience and key ideas it has pursued; some …

EEG signatures of dynamic functional network connectivity states

EA Allen, E Damaraju, T Eichele, L Wu, VD Calhoun - Brain topography, 2018 - Springer
The human brain operates by dynamically modulating different neural populations to enable
goal directed behavior. The synchrony or lack thereof between different brain regions is …

The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures

CW Wong, V Olafsson, O Tal, TT Liu - Neuroimage, 2013 - Elsevier
In resting-state functional magnetic resonance imaging (fMRI), functional connectivity
measures can be influenced by the presence of a strong global component. A widely used …

Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks

F Musso, J Brinkmeyer, A Mobascher, T Warbrick… - Neuroimage, 2010 - Elsevier
The brain is active even in the absence of explicit input or output as demonstrated from
electrophysiological as well as imaging studies. Using a combined approach we measured …

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data

GR Wu, W Liao, S Stramaglia, JR Ding, H Chen… - Medical image …, 2013 - Elsevier
A great improvement to the insight on brain function that we can get from fMRI data can
come from effective connectivity analysis, in which the flow of information between even …

[HTML][HTML] Network connectivity in epilepsy: resting state fMRI and EEG–fMRI contributions

M Centeno, DW Carmichael - Frontiers in neurology, 2014 - frontiersin.org
There is a growing body of evidence pointing toward large-scale networks underlying the
core phenomena in epilepsy, from seizure generation to cognitive dysfunction or response …

[HTML][HTML] Using resting state functional connectivity to unravel networks of tinnitus

FT Husain, SA Schmidt - Hearing research, 2014 - Elsevier
Resting state functional connectivity (rs-fc) using fMRI has become an important tool in
examining differences in brain activity between patient and healthy populations. Studies …

What's new in neuroimaging methods?

PA Bandettini - Annals of the New York Academy of Sciences, 2009 - Wiley Online Library
The rapid advancement of neuroimaging methodology and its growing availability has
transformed neuroscience research. The answers to many questions that we ask about how …