Evidence map›Paper›PMID 34156138›Full record

ArticleHuman brain mapping2021

Visual experience modulates whole-brain connectivity dynamics: A resting-state fMRI study using the model of radiologists.

Yue Wang, Chenwang Jin, Zhongliang Yin, Hongmei Wang, Ming Ji, Minghao Dong, Jimin Liang

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 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
0.8field-weighted citation impact, top 31% 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, 10 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

7 authors at 3 institutions in 1 country.

Yue WangSchool of Electronic Engineering, Xidian University, Shaanxi, China.ORCID 0000-0001-6170-6451
Chenwang JinDepartment of Medical Imaging, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Shaanxi, China.
Zhongliang YinEngineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Shaanxi, China.
Hongmei WangDepartment of Medical Imaging, First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Shaanxi, China.
Ming JiSchool of Psychology, Shaanxi Normal University, Shaanxi, China.
Minghao DongEngineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Shaanxi, China.ORCID 0000-0002-0190-6985
Jimin LiangSchool of Electronic Engineering, Xidian University, Shaanxi, China.ORCID 0000-0003-1428-5804
Xidian University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNShaanxi Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual expertise refers to proficiency in visual recognition. It is attributed to accumulated visual experience in a specific domain and manifests in widespread neural activities that extend well beyond the visual cortex to multiple high-level brain areas. An extensive body of studies has centered on the neural mechanisms underlying a distinctive domain of visual expertise, while few studies elucidated how visual experience modulates resting-state whole-brain connectivity dynamics. The current study bridged this gap by modeling the subtle alterations in interregional spontaneous connectivity patterns with a group of superior radiological interns. Functional connectivity analysis was based on functional brain segmentation, which was derived from a data-driven clustering approach to discriminate subtle changes in connectivity dynamics. Our results showed there was radiographic visual experience accompanied with integration within brain circuits supporting visual processing and decision making, integration across brain circuits supporting high-order functions, and segregation between high-order and low-order brain functions. Also, most of these alterations were significantly correlated with individual nodule identification performance. Our results implied that visual expertise is a controlled, interactive process that develops from reciprocal interactions between the visual system and multiple top-down factors, including semantic knowledge, top-down attentional control, and task relevance, which may enhance participants' local brain functional integration to promote their acquisition of specific visual information and modulate the activity of some regions for lower-order visual feature processing to filter out nonrelevant visual details. The current findings may provide new ideas for understanding the central mechanism underlying the formation of visual expertise.

Indexed as

ConnectomeAdultCerebral CortexFemaleHumansInternship and ResidencyMagnetic Resonance ImagingMaleNeuronal PlasticityRadiologistsRadiologyVisual PerceptionYoung Adultbrain plasticityradiologistsresting state fMRIspontaneous dynamic interactionsvisual expertise

Identifiers

PMID34156138
PMCPMC8410580
OpenAlexW3176813046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.