Evidence map›Paper›PMID 34776880›Full record

ArticleFrontiers in neuroanatomy2021

Dae-Hyuk Kwon, Sun Ha Paek, Young-Bo Kim, Haigun Lee, Zang-Hee Cho

Open access · goldAbstract read
In one paragraph

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  8. Impaired Interhemispheric Synchrony in Bronchial Asthma.International journal of general medicine · 2021
    Article
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

5 authors at 3 institutions in 1 country.

Dae-Hyuk KwonNeuroscience Convergence Center, Green Manufacturing Research Center (GMRC), Korea University, Seoul, South Korea.
Sun Ha PaekNeurosurgery, Movement Disorder Center, Seoul National University College of Medicine, Advanced Institute of Convergence Technology (AICT), Seoul National University, Seoul, South Korea.
Young-Bo KimDepartment of Neurosurgery, College of Medicine, Gachon University, Incheon, South Korea.
Haigun LeeDepartment of Materials Science and Engineering, Korea University, Seoul, South Korea.
Zang-Hee ChoNeuroscience Convergence Center, Green Manufacturing Research Center (GMRC), Korea University, Seoul, South Korea.
Korea University · KRGachon University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The output network of the basal ganglia plays an important role in motor, associative, and limbic processing and is generally characterized by the pallidothalamic and nigrothalamic pathways. However, these connections in the human brain remain difficult to elucidate because of the resolution limit of current neuroimaging techniques. The present study aimed to investigate the mesoscopic nature of these connections between the thalamus, substantia nigra pars reticulata, and globus pallidus internal segment using 7 Tesla (7T) magnetic resonance imaging (MRI). In this study, track-density imaging (TDI) of the whole human brain was employed to overcome the limitations of observing the pallidothalamic and nigrothalamic tracts. Owing to the super-resolution of the TD images, the substructures of the SN, as well as the associated tracts, were identified. This study demonstrates that 7T MRI and MR tractography can be used to visualize anatomical details, as well as 3D reconstruction, of the output projections of the basal ganglia.

Indexed as

ansa lenticularisfasciculus lenticularisfasciculus thalamicusH-fieldnigrothalamic tractpallidothalamic tractsubstantia nigra pars reticulatathalamic substructure

Identifiers

PMID34776880
PMCPMC8579044
OpenAlexW3210381498

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.