Evidence map›Paper›PMID 34970124›Full record

ArticleFrontiers in neuroanatomy2021

The Stereological Analysis and Spatial Distribution of Neurons in the Human Subthalamic Nucleus.

Ema Bokulić, Tila Medenica, Vinka Knezović, Andrija Štajduhar, Fadi Almahariq, Marija Baković, Miloš Judaš, Goran Sedmak

Abstract read
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Article in Frontiers in neuroanatomy, 2021. 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

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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
  2. Architecture of the subthalamic nucleus.Communications biology · 2024
    Review
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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.

Ema BokulićCroatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Tila MedenicaCroatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Vinka KnezovićCroatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Andrija ŠtajduharCroatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Fadi AlmahariqCentre of Excellence for Basic, Clinical and Translational Neuroscience, Zagreb, Croatia.
Marija BakovićDepartment of Forensic Medicine, University of Zagreb School of Medicine, Zagreb, Croatia.
Miloš JudašCroatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Goran SedmakCroatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The subthalamic nucleus (STN) is a small, ovoid structure, and an important site of deep brain stimulation (DBS) for the treatment of Parkinson's disease. Although the STN is a clinically important structure, there are many unresolved issues with regard to it. These issues are especially related to the anatomical subdivision, neuronal phenotype, neuronal composition, and spatial distribution. In this study, we have examined the expression pattern of 8 neuronal markers [nNOS, NeuN, parvalbumin (PV), calbindin (CB), calretinin (CR), FOXP2, NKX2.1, and PAX6] in the adult human STN. All of the examined markers, except CB, were present in the STN. To determine the neuronal density, we have performed stereological analysis on Nissl-stained and immunohistochemical slides of positive markers. The stereology data were also used to develop a three-dimensional map of the spatial distribution of neurons within the STN. The nNOS population exhibited the largest neuronal density. The estimated total number of nNOS STN neurons is 281,308 ± 38,967 (± 13.85%). The STN neuronal subpopulations can be divided into two groups: one with a neuronal density of approximately 3,300 neurons/mm

Indexed as

FOXP2human brainmovement disorderNKX2.1PAX6stereologysubthalamic nucleus

Identifiers

PMID34970124
PMCPMC8712451

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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.