Parvalbumin neurons and perineuronal nets in the mouse prefrontal cortex

Hiroshi Ueno, Shunsuke Suemitsu, Motoi Okamoto, Yousuke Matsumoto, Takeshi Ishihara

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

The prefrontal cortex (PFC) plays a key role in cognitive functions, memory, and attention. Alterations in parvalbumin interneurons (PV neurons) and perineuronal nets (PNNs) within the PFC have been implicated in schizophrenia and autism spectrum disorder pathology. However, it remains unclear why PV neurons and PNNs in the PFC are selectively impaired. Here we aimed to clarify if PV neurons and PNNs in the PFC have region-specific features. We found that PV neurons and PNNs were increased in a region-specific manner in the PFC during postnatal development. In the mature PFC, the expression of PV protein is lower than in other parts of the cortex. Furthermore, PNNs in the mature PFC are not typical lattice-like structures and do not have the major components of PNNs and tenascin-R. The present study indicates that PV neurons and PNNs have region-specific features, and our results suggest that PV neurons and PNNs have structural vulnerability within the PFC.

Original languageEnglish
Pages (from-to)115-127
Number of pages13
JournalNeuroscience
Volume343
DOIs
Publication statusPublished - Feb 20 2017

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Parvalbumins
Prefrontal Cortex
Interneurons
Neurons
Cognition
Schizophrenia
Pathology

Keywords

  • parvalbumin
  • perineuronal nets
  • plasticity
  • postnatal development
  • prefrontal cortex

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Parvalbumin neurons and perineuronal nets in the mouse prefrontal cortex. / Ueno, Hiroshi; Suemitsu, Shunsuke; Okamoto, Motoi; Matsumoto, Yousuke; Ishihara, Takeshi.

In: Neuroscience, Vol. 343, 20.02.2017, p. 115-127.

Research output: Contribution to journalArticle

Ueno, Hiroshi ; Suemitsu, Shunsuke ; Okamoto, Motoi ; Matsumoto, Yousuke ; Ishihara, Takeshi. / Parvalbumin neurons and perineuronal nets in the mouse prefrontal cortex. In: Neuroscience. 2017 ; Vol. 343. pp. 115-127.
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