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GABAB receptor-mediated, layer-specific synaptic plasticity reorganizes gamma-frequency neocortical response to stimulation

Lookup NU author(s): Matthew Ainsworth, Professor Marcus Kaiser, Dr Jennifer Simonotto, Professor Miles Whittington

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This is the final published version of an article that has been published in its final definitive form by National Academy of Sciences, 2016.

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Abstract

Repeated presentations of sensory stimuli generate transient gamma-frequency (30-80 Hz) responses in neocortex that show plasticity in a task-dependent manner. Complex relationships between individual neuronal outputs and the mean, local field potential (population activity) accompany these changes, but little is known about the underlying mechanisms responsible. Here we show that transient stimulation of input layer 4 sufficient to generate gamma oscillations induced two different, lamina-specific plastic processes that correlated with lamina-specific changes in responses to further, repeated stimulation: Unit rates and recruitment showed overall enhancement in supragranular layers and suppression in infragranular layers associated with excitatory or inhibitory synaptic potentiation onto principal cells, respectively. Both synaptic processes were critically dependent on activation of GABA(B) receptors and, together, appeared to temporally segregate the cortical representation. These data suggest that adaptation to repetitive sensory input dramatically alters the spatiotemporal properties of the neocortical response in a manner that may both refine and minimize cortical output simultaneously.


Publication metadata

Author(s): Ainsworth M, Lee S, Kaiser M, Simonotto J, Kopell NJ, Whittington MA

Publication type: Article

Publication status: Published

Journal: Proceedings of the National Academy of Sciences of the USA

Year: 2016

Volume: 113

Issue: 19

Pages: E2721-E2729

Print publication date: 10/05/2016

Online publication date: 26/04/2016

Acceptance date: 02/04/2016

Date deposited: 17/03/2017

ISSN (print): 0027-8424

ISSN (electronic): 1091-6490

Publisher: National Academy of Sciences

URL: http://dx.doi.org/10.1073/pnas.1605243113

DOI: 10.1073/pnas.1605243113


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Funding

Funder referenceFunder name
Wellcome Trust
Engineering and Physical Sciences Research Council CARMEN e-science project
5T32MH019118-23NIH Institutional Training Grant
DMS 1042134National Science Foundation (NSF)
DMS 1225647National Science Foundation (NSF)

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