Publication

Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity

Patric Hagmann
2015
Journal Articles

Abstract

Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations of the brain. However, recent studies indicate that resting-state activity is not stationary, but shows complex temporal dynamics. We were interested in the spatiotemporal dynamics of the phase interactions among resting-state fMRI BOLD signals from human subjects. We found that the global phase synchrony of the BOLD signals evolves on a characteristic ultra-slow (

Official source

https://infoscience.epfl.ch/entities/publication/cbc6c222-d85e-45f1-97de-391957ed6f7f

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Patric Hagmann
2015
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/cbc6c222-d85e-45f1-97de-391957ed6f7f

About this result

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Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potential or as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons.

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Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity

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