Evidence map›Paper›PMID 32851064›Full record

ArticleBioMed research international2020

Gender-Related and Hemispheric Effects in Cortical Thickness-Based Hemispheric Brain Morphological Network.

Yong-Ho Choi, Je-Yeon Yun, Bo-Hyun Kim, Min-Ho Lee, Sa-Kwang Song, Jong-Min Lee

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Yong-Ho ChoiDepartment of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
Je-Yeon YunSeoul National University Hospital, Seoul, Republic of Korea.
Bo-Hyun KimDepartment of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
Min-Ho LeeKorea Institute of Science and Technology Information, Daejeon, Republic of Korea.
Sa-Kwang SongKorea Institute of Science and Technology Information, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-6014-3519
Jong-Min LeeDepartment of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3598-376X
Hanyang University · KRKorea Institute of Science & Technology Information · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study examined gender-related differences in hemispheric asymmetries of graph metrics, calculated from a cortical thickness-based brain structural covariance network named hemispheric morphological network.

methodsUsing the T1-weighted magnetic resonance imaging scans of 285 participants (150 females, 135 males) retrieved from the Human Connectome Project (HCP), hemispheric morphological networks were constructed per participant. In these hemispheric morphologic networks, the degree of similarity between two different brain regions in terms of the distributed patterns of cortical thickness values (the Jensen-Shannon divergence) was defined as weight of network edge that connects two different brain regions. After the calculation and summation of global and local graph metrics (across the network sparsity levels

resultsHemispheric morphological networks satisfied small-worldness and global efficiency for the network sparsity ranges of

conclusionPatterns of interhemispheric asymmetries for cingulate, superior parietal gyrus, temporal pole, and rectal gyrus are different between male and female for the similarities of the cortical thickness distribution with other brain regions. Accordingly, possible effect of gender-by-hemispheric interaction has to be considered in future studies of brain morphology and brain structural covariance networks.

Indexed as

Brain Cortical ThicknessBrain MappingAdultBrainConnectomeFemaleFunctional LateralityHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePrefrontal CortexSex Characteristics

Identifiers

PMID32851064
PMCPMC7439209
OpenAlexW3048445223

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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.