2018
DOI: 10.1016/j.neuint.2017.11.001
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Age-dependent and region-specific alteration of parvalbumin neurons and perineuronal nets in the mouse cerebral cortex

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Cited by 62 publications
(53 citation statements)
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“…One limitation of this study was the limited sample size, and it is likely that the abundance of PNNs in the CA1 of adult females would also be significantly lower than adult males with a larger sample size. Both parvalbumin and PNN development are highly region‐specific (Ueno et al, ); however, in most cases PVALB+ neurons increase with age. Our finding that juvenile rats had nearly twice the number of PVALB+ interneurons in the neocortex compared to adults is in sharp contrast to many previous studies, however it is consistent with a prior report in the barrel cortex of mice (Nowicka, Soulsby, Skangiel‐Kramska, & Glazewski, ).…”
Section: Discussionmentioning
confidence: 99%
“…One limitation of this study was the limited sample size, and it is likely that the abundance of PNNs in the CA1 of adult females would also be significantly lower than adult males with a larger sample size. Both parvalbumin and PNN development are highly region‐specific (Ueno et al, ); however, in most cases PVALB+ neurons increase with age. Our finding that juvenile rats had nearly twice the number of PVALB+ interneurons in the neocortex compared to adults is in sharp contrast to many previous studies, however it is consistent with a prior report in the barrel cortex of mice (Nowicka, Soulsby, Skangiel‐Kramska, & Glazewski, ).…”
Section: Discussionmentioning
confidence: 99%
“…In the case of targeted transduction of PV interneurons, only mCherry+ (DREADD-expressing) or GFP+ (expressing PSAM-GlyR) cells were analyzed ipsilaterally. The region analyzed in V1 was selected using a 20X objective, based on conspicuously low WFA staining in V2 area [ Fig.S1, (Ueno et al, 2018)], as delineated by Paxinos and Franklin (Paxinos and Franklin, 2004). Images were acquired in layers IV-V using a 63X objective, starting medially from the V2/V1 border and progressing laterally into V1 through contiguous acquisition fields.…”
Section: Pnn Density Analysesmentioning
confidence: 99%
“…An excellent example is the primary visual cortex where the developmental increase of PNNs is regulated by visual experience (Beurdeley et al, 2012;Hou et al, 2017). PNNs in mature primary visual cortex mainly surround the soma and proximal dendrites of PV+ interneurons (Celio, 1993;Hartig et al, 1992;Ueno et al, 2018). Mature PNNs are thought to be inhibitory for experience-dependent plasticity, as their increase in developing primary visual cortex correlates with the termination of the critical period and PNN removal in adult primary visual cortex restores plasticity, as measured by ocular dominance plasticity assays (Bavelier et al, 2010;Pizzorusso et al, 2002Pizzorusso et al, , 2006.…”
Section: Discussionmentioning
confidence: 99%
“…Perineuronal nets (PNNs) are specialized extracellular matrix structures that can act as physical barriers or modulators of plasticity, restrict axon regeneration, and form molecular brakes that actively control synaptic maturation and the function of cortical parvalbumin+ (PV+) GABAergic interneurons that drive gamma oscillations (Bartos et al, 2002;Begum and Sng, 2017;Bernard and Prochiantz, 2016;Carstens et al, 2016;Deepa et al, 2002;Dityatev et al, 2007;Donato et al, 2013;Durand et al, 2012;Frischknecht et al, 2009;Gundelfinger et al, 2010;Hartig et al, 1992;Hou et al, 2017;Kalemaki et al, 2018;Kosaka and Heizmann, 1989;Krishnan et al, 2015Krishnan et al, , 2017Nakagawa et al, 1986;Orlando et al, 2012;Pizzorusso et al, 2002Pizzorusso et al, , 2006Sigal et al, 2019;Sugiyama et al, 2009;Suttkus et al, 2012;Ueno et al, 2018;Vo et al, 2013;de Winter et al, 2016;Ye and Miao, 2013). Mature PNNs in the adult cortices are thought to be stable structures, inhibitory to plasticity, and perhaps play roles in long term memory such as "engrams" (Carstens et al, 2016;Gogolla et al, 2009;Thompson et al, 2018).…”
Section: Introductionmentioning
confidence: 99%