Sentence examples for multiple cortical networks from inspiring English sources

These experiments suggest that the surface ECoG reflects the integration of ongoing γ oscillations generated either from a large-scale cortical network, or from multiple cortical networks.

In this study, we apply a recently developed functional connectivity method and relate individual estimates of connectivity in multiple cortical networks to performance in multiple cognitive domains.

In this study, we investigated how functional connectivity in multiple cortical networks was related to performance across multiple cognitive domains in a group of clinically normal older adults.

In summary, our data support a general view of network connectivity across multiple cortical networks as being indicative of brain integrity that is linked to cognitive performance across multiple domains in cognitively healthy older adults.

This study examined multiple cortical networks using Template-Based Rotation (TBR), a method that applies a priori network and nuisance component templates defined from an independent dataset to test datasets of interest.

Resting-state BOLD data were acquired in two 6-min acquisitions on a 3-Tesla scanner and processed with TBR to extract individual-level metrics of network connectivity in multiple cortical networks.

Connectivity in multiple large-scale cortical networks was positively related to all cognitive domains, with a composite measure of general connectivity positively associated with general cognitive performance.

A priori templates were applied to a test dataset of 276 older adults (ages 65 90) from the Harvard Aging Brain Study to examine the relationship between multiple large-scale cortical networks and cognition.

However, while working memory and/or working memory-correlated neuronal activity may be maintainable within local networks (or even cellularly), considerable evidence from neurophysiological and imaging studies have shown that working memory involves widely distributed cortical networks across multiple cortical areas [27].

This study found significant ReHo differences in multiple cortical regions and resting-state networks between male and female subjects.

Here we examine the effect of dynamic synapses and network architectures with multiple cortical areas on the states and dynamics of working memory networks.