Evidence map›Paper›PMID 38665273›Full record

ArticlePsychoradiology2022

Early stage of radiological expertise modulates resting-state local coherence in the inferior temporal lobe.

Minghao Dong, Peiming Zhang, Weilu Chai, Xiaoyan Zhang, Bihong T Chen, Hongmei Wang, Jia Wu, Chao Chen, Yi Niu, Jimin Liang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Psychoradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  5. Review
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

12 authors at 4 institutions in 2 countries.

Minghao DongEngineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an City, Shaanxi 710071, China.ORCID https://orcid.org/0000-0002-0190-6985
Peiming ZhangEngineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an City, Shaanxi 710071, China.
Weilu ChaiKey Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an City, Shaanxi 710071, China.
Xiaoyan ZhangEngineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an City, Shaanxi 710071, China.
Bihong T ChenCity of Hope Medical Center, Duarte City, California 91010, USA.
Hongmei WangDepartment of Medical Imaging, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an City, Shaanxi 710000, China.
Jia WuSchool of Foreign Languages, Northwestern Polytechnical University, Xi'an City, Shaanxi 710071, China.
Chao ChenPLA Funding Payment Center, Beijing 100000, China.
Yi NiuKey Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an City, Shaanxi 710071, China.
Jimin LiangSchool of Electronics and Engineering, Xidian University, Xi'an City, Shaanxi 710071, China.
Guangming ShiKey Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an City, Shaanxi 710071, China.
Chenwang JinDepartment of Medical Imaging, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an City, Shaanxi 710000, China.
Xidian University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNCity Of Hope National Medical Center · USNorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The visual system and its inherent functions undergo experience-dependent changes through the lifespan, enabling acquisition of new skills. Previous fMRI studies using tasks reported increased specialization in a number of cortical regions subserving visual expertise. Although ample studies focused on representation of long-term visual expertise in the brain, i.e. in terms of year, monthly-based early-stage representation of visual expertise remains unstudied. Given that spontaneous neuronal oscillations actively encode previous experience, we propose brain representations in the resting state is fundamentally important. Objective: The current study aimed to investigate how monthly-based early-stage visual expertise are represented in the resting state using the expertise model of radiologists. Methods: In particular, we investigated the altered local clustering pattern of spontaneous brain activity using regional homogeneity (ReHo). A cohort group of radiology interns (n = 22) after one-month training in X-ray department and matched laypersons (n = 22) were recruited after rigorous behavioral assessment. Results: The results showed higher ReHo in the right hippocampus (HIP) and the right ventral anterior temporal lobe (vATL) (corrected by Alphasim correction, Conclusions: In sum, our results demonstrated that the early stage of visual expertise is more concerned with stabilizing visual feature and domain-specific knowledge into long-term memory. The results provided novel evidence regarding how early-stage visual expertise is represented in the resting brain, which help further elaborate how human visual expertise is acquired. We propose that our current study may provide novel ideas for developing new training protocols in medical schools.

Indexed as

inferior temporal cortexradiologistsresting state fMRIvisual expertise

Identifiers

PMID38665273
PMCPMC10917200
OpenAlexW4313332364

What OpenQuestion holds

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LicenceCC BY
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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.