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Brain network communication: concepts, models and applications
Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …
goal of neuroscience. Over the past two decades, advances in connectomics and network …
Resting-state dynamic functional connectivity in major depressive disorder: a systematic review
As a novel measure, dynamic functional connectivity (dFC) provides insight into the dynamic
nature of brain networks and their interactions in resting-state, surpassing traditional static …
nature of brain networks and their interactions in resting-state, surpassing traditional static …
Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation
Communication between gray matter regions underpins all facets of brain function. We study
inter-areal communication in the human brain using intracranial EEG recordings, acquired …
inter-areal communication in the human brain using intracranial EEG recordings, acquired …
Tau protein spreads through functionally connected neurons in Alzheimer's disease: a combined MEG/PET study
Recent studies on Alzheimer's disease (AD) suggest that tau proteins spread through the
brain following neuronal connections. Several mechanisms could be involved in this …
brain following neuronal connections. Several mechanisms could be involved in this …
Disruption in structural–functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness
Understanding recovery of consciousness and elucidating its underlying mechanism is
believed to be crucial in the field of basic neuroscience and medicine. Ideas such as the …
believed to be crucial in the field of basic neuroscience and medicine. Ideas such as the …
Computational models in electroencephalography
Computational models lie at the intersection of basic neuroscience and healthcare
applications because they allow researchers to test hypotheses in silico and predict the …
applications because they allow researchers to test hypotheses in silico and predict the …
Virtual reality hypnosis in the management of pain: Self‐reported and neurophysiological measures in healthy subjects
Background Virtual reality hypnosis (VRH) has emerged as a new and promising option for
pain management. Nonetheless, neural dynamics of pain modulation during VRH have not …
pain management. Nonetheless, neural dynamics of pain modulation during VRH have not …
Biomarkers for autism spectrum disorder: opportunities for magnetoencephalography (MEG)
This paper reviews a candidate biomarker for ASD, the M50 auditory evoked response
component, detected by magnetoencephalography (MEG) and presents a position on the …
component, detected by magnetoencephalography (MEG) and presents a position on the …
Bidirectional map** with contrastive learning on multimodal neuroimaging data
The modeling of the interaction between brain structure and function using deep learning
techniques has yielded remarkable success in identifying potential biomarkers for different …
techniques has yielded remarkable success in identifying potential biomarkers for different …
[HTML][HTML] Spectral graph theory of brain oscillations—-revisited and improved
Mathematical modeling of the relationship between the functional activity and the structural
wiring of the brain has largely been undertaken using non-linear and biophysically detailed …
wiring of the brain has largely been undertaken using non-linear and biophysically detailed …