Evidence map›Paper›PMID 28824404›Full record

ArticleFrontiers in human neuroscience2017

The BDNF Val66Met Polymorphism Affects the Vulnerability of the Brain Structural Network.

Chang-Hyun Park, Jungyoon Kim, Eun Namgung, Do-Wan Lee, Geon Ha Kim, Myeongju Kim, Nayeon Kim, Tammy D Kim, Seunghee Kim, In Kyoon Lyoo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 44 citations in OpenAlex.

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  17. TheBrain sciences · 2020
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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

11 authors at 2 institutions in 1 country.

Chang-Hyun ParkDepartment of Psychiatry, Catholic University of Korea College of MedicineSeoul, South Korea.
Jungyoon KimEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Eun NamgungEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Do-Wan LeeEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Geon Ha KimEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Myeongju KimEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Nayeon KimEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Tammy D KimEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Seunghee KimEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
In Kyoon LyooEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Sujung YoonEwha Brain Institute, Ewha Womans UniversitySeoul, South Korea.
Ewha Womans University · KRCatholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Val66Met, a naturally occurring polymorphism in the human brain-derived neurotrophic factor (BDNF) gene resulting in a valine (Val) to methionine (Met) substitution at codon 66, plays an important role in neuroplasticity. While the effect of the BDNF Val66Met polymorphism on local brain structures has previously been examined, its impact on the configuration of the graph-based white matter structural networks is yet to be investigated. In the current study, we assessed the effect of the BDNF polymorphism on the network properties and robustness of the graph-based white matter structural networks. Graph theory was employed to investigate the structural connectivity derived from white matter tractography in two groups, Val homozygotes (

Indexed as

BDNF Val66Metdiffusion tensor imagingnetwork resiliencetractographywhite matter structural network

Identifiers

PMID28824404
PMCPMC5541016
OpenAlexW2744868410

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.