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Lookup NU author(s): Sabine Gretenkord, Professor Adrian ReesORCiD, Professor Miles Whittington, Dr Sasha Gartside, Dr Fiona LeBeauORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2017 the American Physiological Society. Cortical slow oscillations (0.1-1Hz), which may play a role in memory consolidation, are a hallmark of non-rapid eye movement (NREM) sleep and also occur under anesthesia. During slow oscillations the neuronal network generates faster oscillations on the active Up-states and these nested oscillations are particularly prominent in the PFC. In rodents the medial prefrontal cortex (mPFC) consists of several subregions: anterior cingulate cortex (ACC), prelimbic (PrL), infralimbic (IL), and dorsal peduncular cortices (DP). Although each region has a distinct anatomy and function, it is not known whether slow or fast network oscillations differ between subregions in vivo. We have simultaneously recorded slow and fast network oscillations in all four subregions of the rodent mPFC under urethane anesthesia. Slow oscillations were synchronous between the mPFC subregions, and across the hemispheres, with no consistent amplitude difference between subregions. Delta (2–4 Hz) activity showed only small differences between subregions. However, oscillations in the spindle (6–15 Hz)-, beta (20–30 Hz), gamma (30–80 Hz)-, and high-gamma (80–150 Hz)-frequency bands were consistently larger in the dorsal regions (ACC and PrL) compared with ventral regions (IL and DP). In dorsal regions the peak power of spindle, beta, and gamma activity occurred early after onset of the Up-state. In the ventral regions, especially the DP, the oscillatory power in the spindle-, beta-, and gamma-frequency ranges peaked later in the Up-state. These results suggest variations in fast network oscillations within the mPFC that may reflect the different functions and connectivity of these subregions.
Author(s): Gretenkord S, Rees A, Whittington MA, Gartside SE, Lebeau FEN
Publication type: Article
Publication status: Published
Journal: Journal of Neurophysiology
Year: 2017
Volume: 117
Issue: 3
Pages: 1126-1142
Print publication date: 01/03/2017
Online publication date: 11/01/2017
Acceptance date: 21/12/2016
Date deposited: 21/04/2017
ISSN (print): 0022-3077
ISSN (electronic): 1522-1598
Publisher: American Physiological Society
URL: https://doi.org/10.1152/jn.00762.2016
DOI: 10.1152/jn.00762.2016
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