Evidence map›Paper›PMID 38958887›Full record

ArticleMolecular neurobiology2025

Morphological and Molecular Characteristics of Perineuronal Nets in the Human Prefrontal Cortex-A Possible Link to Microcircuitry Specialization.

Ivan Banovac, Matija Vid Prkačin, Ivona Kirchbaum, Sara Trnski-Levak, Mihaela Bobić-Rasonja, Goran Sedmak, Zdravko Petanjek, Natasa Jovanov-Milosevic

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Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ivan Banovac *Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Matija Vid Prkačin *Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Ivona KirchbaumDepartment of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Sara Trnski-LevakDepartment of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Mihaela Bobić-RasonjaDepartment of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Goran SedmakDepartment of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Zdravko PetanjekDepartment of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
Natasa Jovanov-MilosevicDepartment of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia. njovanov@hiim.hr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perineuronal nets (PNNs) are a type of extracellular matrix (ECM) that play a significant role in synaptic activity and plasticity of interneurons in health and disease. We researched PNNs' regional and laminar representation and molecular composition using immunohistochemistry and transcriptome analysis of Brodmann areas (BA) 9, 14r, and 24 in 25 human postmortem brains aged 13-82 years. The numbers of VCAN- and NCAN-expressing PNNs, relative to the total number of neurons, were highest in cortical layers I and VI while WFA-binding (WFA

Indexed as

Extracellular MatrixPrefrontal CortexAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNerve NetNeuronsPlant LectinsReceptors, N-AcetylglucosamineTranscriptomeYoung AdultPlant LectinsReceptors, N-Acetylglucosaminewisteria lectinExtracellular matrixGABAInterneuronsNeurocanVersican

Identifiers

PMID38958887
PMCPMC11711633

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.