Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …
activity of the human brain using multichannel electroencephalography (EEG). This method …
Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding
Decoding visual stimuli from brain recordings aims to deepen our understanding of the
human visual system and build a solid foundation for bridging human and computer vision …
human visual system and build a solid foundation for bridging human and computer vision …
Brain network dynamics are hierarchically organized in time
D Vidaurre, SM Smith… - Proceedings of the …, 2017 - National Acad Sciences
The brain recruits neuronal populations in a temporally coordinated manner in task and at
rest. However, the extent to which large-scale networks exhibit their own organized temporal …
rest. However, the extent to which large-scale networks exhibit their own organized temporal …
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
The identification of resting state networks (RSNs) and the quantification of their functional
connectivity in resting-state fMRI (rfMRI) are seriously hindered by the presence of artefacts …
connectivity in resting-state fMRI (rfMRI) are seriously hindered by the presence of artefacts …
Resting-state fMRI: a review of methods and clinical applications
MH Lee, CD Smyser… - American Journal of …, 2013 - Am Soc Neuroradiology
Resting-state fMRI measures spontaneous low-frequency fluctuations in the BOLD signal to
investigate the functional architecture of the brain. Application of this technique has allowed …
investigate the functional architecture of the brain. Application of this technique has allowed …
Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective
XN Zuo, XX Xing - Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …
Machine learning in resting-state fMRI analysis
Abstract Machine learning techniques have gained prominence for the analysis of resting-
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …
Exploring the brain network: a review on resting-state fMRI functional connectivity
MP Van Den Heuvel, HEH Pol - European neuropsychopharmacology, 2010 - Elsevier
Our brain is a network. It consists of spatially distributed, but functionally linked regions that
continuously share information with each other. Interestingly, recent advances in the …
continuously share information with each other. Interestingly, recent advances in the …
Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
Schizophrenia (SZ) and bipolar disorder (BP) share significant overlap in clinical symptoms,
brain characteristics, and risk genes, and both are associated with dysconnectivity among …
brain characteristics, and risk genes, and both are associated with dysconnectivity among …