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Emergence of Metastable State Dynamics in Interconnected Cortical Networks with Propagation Delays

Overview of attention for article published in PLoS Computational Biology, October 2013
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Title
Emergence of Metastable State Dynamics in Interconnected Cortical Networks with Propagation Delays
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003304
Pubmed ID
Authors

Katrina M. Kutchko, Flavio Fröhlich

Abstract

The importance of the large number of thin-diameter and unmyelinated axons that connect different cortical areas is unknown. The pronounced propagation delays in these axons may prevent synchronization of cortical networks and therefore hinder efficient information integration and processing. Yet, such global information integration across cortical areas is vital for higher cognitive function. We hypothesized that delays in communication between cortical areas can disrupt synchronization and therefore enhance the set of activity trajectories and computations interconnected networks can perform. To evaluate this hypothesis, we studied the effect of long-range cortical projections with propagation delays in interconnected large-scale cortical networks that exhibited spontaneous rhythmic activity. Long-range connections with delays caused the emergence of metastable, spatio-temporally distinct activity states between which the networks spontaneously transitioned. Interestingly, the observed activity patterns correspond to macroscopic network dynamics such as globally synchronized activity, propagating wave fronts, and spiral waves that have been previously observed in neurophysiological recordings from humans and animal models. Transient perturbations with simulated transcranial alternating current stimulation (tACS) confirmed the multistability of the interconnected networks by switching the networks between these metastable states. Our model thus proposes that slower long-range connections enrich the landscape of activity states and represent a parsimonious mechanism for the emergence of multistability in cortical networks. These results further provide a mechanistic link between the known deficits in connectivity and cortical state dynamics in neuropsychiatric illnesses such as schizophrenia and autism, as well as suggest non-invasive brain stimulation as an effective treatment for these illnesses.

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The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 1%
United States 2 1%
Germany 1 <1%
Chile 1 <1%
India 1 <1%
Italy 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 148 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Researcher 27 17%
Student > Master 19 12%
Student > Bachelor 12 8%
Professor > Associate Professor 11 7%
Other 32 20%
Unknown 24 15%
Readers by discipline Count As %
Neuroscience 31 20%
Psychology 27 17%
Agricultural and Biological Sciences 19 12%
Medicine and Dentistry 18 11%
Engineering 9 6%
Other 21 13%
Unknown 33 21%