A survey of brain network analysis by electroencephalographic signals
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …
differentiate the alterations from comparative networks. The alterations account for time …
A novel method for constructing EEG large-scale cortical dynamical functional network connectivity (dFNC): WTCS
As a kind of biological network, the brain network conduces to understanding the mystery of
high-efficiency information processing in the brain, which will provide instructions to develop …
high-efficiency information processing in the brain, which will provide instructions to develop …
[HTML][HTML] Information transmission velocity-based dynamic hierarchical brain networks
The brain functions as an accurate circuit that regulates information to be sequentially
propagated and processed in a hierarchical manner. However, it is still unknown how the …
propagated and processed in a hierarchical manner. However, it is still unknown how the …
Tracking EEG network dynamics through transitions between eyes-closed, eyes-open, and task states
Our study aimed to verify the possibilities of effectively applying chronnectomics methods to
reconstruct the dynamic processes of network transition between three types of brain states …
reconstruct the dynamic processes of network transition between three types of brain states …
Constructing time-varying directed EEG network by multivariate nonparametric dynamical granger causality
C Yi, Y Qiu, W Chen, C Chen, Y Wang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Time-varying directed electroencephalography (EEG) network is the potential tool for
studying the dynamical causality among brain areas at a millisecond level; which conduces …
studying the dynamical causality among brain areas at a millisecond level; which conduces …
Global functional connectivity at Rest is Associated with attention: an arterial spin labeling study
Neural markers of attention, including those frequently linked to the event-related potential
P3 (P300) or P3b component, vary widely within and across participants. Understanding the …
P3 (P300) or P3b component, vary widely within and across participants. Understanding the …
Discrimination of auditory verbal hallucination in schizophrenia based on EEG brain networks
J Wang, W Dong, Y Li, TN Wydell, W Quan… - Psychiatry Research …, 2023 - Elsevier
Auditory verbal hallucinations (AVH) are a core positive symptom of schizophrenia and are
regarded as a consequence of the functional breakdown in the related sensory process. Yet …
regarded as a consequence of the functional breakdown in the related sensory process. Yet …
Altered temporal variability in brain functional connectivity identified by fuzzy entropy underlines schizophrenia deficits
L Jiang, J Wang, J Dai, F Li, B Chen, R He… - Journal of Psychiatric …, 2022 - Elsevier
Investigation of the temporal variability of resting-state brain networks informs our
understanding of how neural connectivity aggregates and disassociates over time, further …
understanding of how neural connectivity aggregates and disassociates over time, further …
Identification of the general anesthesia induced loss of consciousness by cross fuzzy entropy-based brain network
Although the spatiotemporal complexity and network connectivity are clarified to be
disrupted during the general anesthesia (GA) induced unconsciousness, it remains to be …
disrupted during the general anesthesia (GA) induced unconsciousness, it remains to be …
The task-dependent modular covariance networks unveiled by multiple-way fusion-based analysis
Cognitive processes induced by the specific task are underpinned by intrinsic anatomical
structures with functional neural activation patterns. However, current covariance network …
structures with functional neural activation patterns. However, current covariance network …