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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 …
Network analysis for a network disorder: the emerging role of graph theory in the study of epilepsy
Recent years have witnessed a paradigm shift in the study and conceptualization of
epilepsy, which is increasingly understood as a network-level disorder. An emblematic case …
epilepsy, which is increasingly understood as a network-level disorder. An emblematic case …
Large‐scale brain networks are distinctly affected in right and left mesial temporal lobe epilepsy
Mesial temporal lobe epilepsy (MTLE) with hippocampus sclerosis (HS) is associated with
functional and structural alterations extending beyond the temporal regions and abnormal …
functional and structural alterations extending beyond the temporal regions and abnormal …
Models of network spread and network degeneration in brain disorders
Network analysis can provide insight into key organizational principles of brain structure and
help identify structural changes associated with brain disease. Though static differences …
help identify structural changes associated with brain disease. Though static differences …
Comparison of connectivity analyses for resting state EEG data
Objective. In the present work, a nonlinear measure (transfer entropy, TE) was used in a
multivariate approach for the analysis of effective connectivity in high density resting state …
multivariate approach for the analysis of effective connectivity in high density resting state …
Atypical connectome topography and signal flow in temporal lobe epilepsy
K ** seizure onset dynamics: Insights from structurally-based whole-brain dynamical network models
Z Liu, F Han, Y Yu, Q Wang - Communications in Nonlinear Science and …, 2024 - Elsevier
The brain is a highly complex network system exhibiting nonlinear dynamics, and alterations
in brain structure may give rise to pathological brain dynamics such as seizures. Recent …
in brain structure may give rise to pathological brain dynamics such as seizures. Recent …
Eeg-based neurohaptics research: A literature review
Neurohaptics is the field of study that strives to understand the complex neural
representation provoked in response to tactile and/or kinesthetic stimuli. This field has …
representation provoked in response to tactile and/or kinesthetic stimuli. This field has …