Visual expertise modulates baseline brain activity: a preliminary resting-state fMRI study using expertise model of radiologists

Zhang, Ting; Dong, Minghao; Wang, Hongmei; Jia, Rui; Li, Fu; Ni, Xiaoli; Jin, Chenwang

doi:10.1186/s12868-022-00707-x

Cited by 6 publications

(9 citation statements)

References 71 publications

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“…The level of difficulty for grades 1–3 in all 100 images used in the RET accounted for 55%, 30%, and 15% of the images, respectively. The detailed procedures of CFMT and RET were introduced in our previous research (Zhang et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis

et al. 2023

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Visual expertise reflects accumulated experience in reviewing domain-specific images and has been shown to modulate brain function in task-specific functional magnetic resonance imaging studies. However, little is known about how visual experience modulates resting-state brain network dynamics. To explore this, we recruited 22 radiology interns and 22 matched healthy controls and used resting-state functional magnetic resonance imaging (rs-fMRI) and the degree centrality (DC) method to investigate changes in brain network dynamics. Our results revealed significant differences in DC between the RI and control group in brain regions associated with visual processing, decision making, memory, attention control, and working memory. Using a recursive feature elimination-support vector machine algorithm, we achieved a classification accuracy of 88.64%. Our findings suggest that visual experience modulates resting-state brain network dynamics in radiologists and provide new insights into the neural mechanisms of visual expertise.

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Section: Methodsmentioning

confidence: 99%

Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis

et al. 2023

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“…The local brain activity refers to the brain activity on the voxel‐level 34–36 . ALFF is used as the index for local brain activity 22,37 .…”

Section: Methodsmentioning

confidence: 99%

“…The local brain activity refers to the brain activity on the voxellevel. [34][35][36] ALFF is used as the index for local brain activity. 22,37 The calculation of ALFF value was as follows: first, the time series for each voxel was filtered with band-pass filter (0.01-0.08 Hz).…”

Section: Generation Of Local Brain Activity Mapmentioning

confidence: 99%

Identifying neuroimaging biomarkers for psychogenic erectile dysfunction by fusing multi‐level brain information: A resting‐state functional magnetic resonance imaging study

et al. 2022

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Background: Psychogenic erectile dysfunction (pED) patients who are under their 40s in China consist of a major component of erectile dysfunction. Existing neuroimaging studies have demonstrated that pED is a functional disorder with aberrant neural representations on the local level, the regional level, and the global level, respectively. Therefore, it is reasonable to incorporate brain information from all these levels simultaneously into consideration when identifying neuroimaging biomarkers for pED.However, no such endeavors have been made in previous studies to fully disclose the central mechanism of pED. Method:To incorporate multi-level brain features to fully explore the neural representation of pED, a novel machine learning framework was proposed in the current study. Specifically, we used amplitude of low-frequency fluctuation, regional homogeneity, and degree centrality as indices for local, regional, and global brain activity, respectively. A fully data-driven method, that is, support vector machine (SVM) with recursive feature elimination analyses, was used to investigate discriminative brain map between 48 pED patients and 39 healthy control subjects for resting state functional magnetic resonance imaging (rs-fMRI) data. Results:By fusing multi-level brain features, our method led to a superb classification accuracy of 95.12% between two groups. Interestingly, the right anterior cingulate gyrus and the left precuneus showed abnormal representations at different levels

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“…Specifically, we used questionnaires to ensure that the subjects had no visual expertise of other known domains, such as aircrafts, animals, and plants. The behavioral tasks were conducted after MRI scanning, aiming to quantify the level of face expertise and radiological expertise, using the Cambridge face memory test (CFMT) ( Duchaine and Nakayama, 2006 ) and radiological expertise task ( Evans et al, 2011 ) respectively, as introduced in our previous studies ( Wang et al, 2021 ; Zhang et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

“…The pathologies in the images were carefully examined and reconfirmed by these three experts. The detailed procedure of CFMT and RET was introduced in our previous study ( Zhang et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Real-World Visual Experience Alters Baseline Brain Activity in the Resting State: A Longitudinal Study Using Expertise Model of Radiologists

Zhang

et al. 2022

Front. Neurosci.

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Visual experience modulates the intensity of evoked brain activity in response to training-related stimuli. Spontaneous fluctuations in the restful brain actively encode previous learning experience. However, few studies have considered how real-world visual experience alters the level of baseline brain activity in the resting state. This study aimed to investigate how short-term real-world visual experience modulates baseline neuronal activity in the resting state using the amplitude of low-frequency (<0.08 Hz) fluctuation (ALFF) and a visual expertise model of radiologists, who possess fine-level visual discrimination skill of homogeneous stimuli. In detail, a group of intern radiologists (n = 32) were recruited. The resting-state fMRI data and the behavioral data regarding their level of visual expertise in radiology and face recognition were collected before and after 1 month of training in the X-ray department in a local hospital. A machine learning analytical method, i.e., support vector machine, was used to identify subtle changes in the level of baseline brain activity. Our method led to a superb classification accuracy of 86.7% between conditions. The brain regions with highest discriminative power were the bilateral cingulate gyrus, the left superior frontal gyrus, the bilateral precentral gyrus, the bilateral superior parietal lobule, and the bilateral precuneus. To the best of our knowledge, this study is the first to investigate baseline neurodynamic alterations in response to real-world visual experience using longitudinal experimental design. These results suggest that real-world visual experience alters the resting-state brain representation in multidimensional neurobehavioral components, which are closely interrelated with high-order cognitive and low-order visual factors, i.e., attention control, working memory, memory, and visual processing. We propose that our findings are likely to help foster new insights into the neural mechanisms of visual expertise.

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Visual expertise modulates baseline brain activity: a preliminary resting-state fMRI study using expertise model of radiologists

Cited by 6 publications

References 71 publications

Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis

Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis

Identifying neuroimaging biomarkers for psychogenic erectile dysfunction by fusing multi‐level brain information: A resting‐state functional magnetic resonance imaging study

Real-World Visual Experience Alters Baseline Brain Activity in the Resting State: A Longitudinal Study Using Expertise Model of Radiologists

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