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Functional, anatomical and diffusion tensor MRI study of radiology expertise

BACKGROUND: Repeated practice to acquire expertise could result in the structural and functional changes in relevant brain circuits as a result of long-term potentiation, neurogenesis, glial genesis, and remodeling. PURPOSE: The goal of this study is to use task fMRI to study the brain of expert rad...

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Autores principales: Ouellette, David J., Van Staalduinen, Eric, Hussaini, Syed H., Govindarajan, Sindhuja T., Stefancin, Patricia, Hsu, Dan-Ling, Duong, Timothy Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185578/
https://www.ncbi.nlm.nih.gov/pubmed/32339188
http://dx.doi.org/10.1371/journal.pone.0231900
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author Ouellette, David J.
Van Staalduinen, Eric
Hussaini, Syed H.
Govindarajan, Sindhuja T.
Stefancin, Patricia
Hsu, Dan-Ling
Duong, Timothy Q.
author_facet Ouellette, David J.
Van Staalduinen, Eric
Hussaini, Syed H.
Govindarajan, Sindhuja T.
Stefancin, Patricia
Hsu, Dan-Ling
Duong, Timothy Q.
author_sort Ouellette, David J.
collection PubMed
description BACKGROUND: Repeated practice to acquire expertise could result in the structural and functional changes in relevant brain circuits as a result of long-term potentiation, neurogenesis, glial genesis, and remodeling. PURPOSE: The goal of this study is to use task fMRI to study the brain of expert radiologists performing a diagnosis task where a series of medical images were presented during fMRI acquisition for 12s and participants were asked to choose a diagnosis. Structural and diffusion-tensor MRI were also acquired. METHODS: Radiologists (N = 12, 11M, 38.2±10.3 years old) and non-radiologists (N = 17, 15M, 30.6±5.5 years old) were recruited with informed consent. Medical images were presented for 12 s and three multiple choices were displayed and the participants were asked to choose a diagnosis. fMRI, structural and diffusion-tensor MRI were acquired. fMRI analysis used FSL to determine differences in fMRI responses between groups. Voxel-wise analysis was performed to determine if subcortical volume, cortical thickness and fractional anisotropy differed between groups. Correction for multiple comparisons used false discovery rate. RESULTS: Radiologists showed overall lower task-related brain activation than non-radiologists. Radiologists showed significantly lower activation in the left lateral occipital cortex, left superior parietal lobule, occipital pole, right superior frontal and precentral gyri, lingual gyrus, and the left intraparietal sulcus (p<0.05). There were no significant differences between groups in cortical thickness, subcortical volume and fractional anisotropy (p>0.05). CONCLUSIONS: Radiologists and non-radiologists had no significant difference in structural metrics. However, in diagnosis tasks, radiologists showed markedly lower task-related brain activations overall as well as a number of high-order visual and non-visual brain regions than non-radiologists. Some brain circuits appear to be uniquely associated with differential-diagnosis paradigm expertise that are not involved in simpler object-recognition cases. Improved understanding of the brain circuitry involved in acquisition of expertise might be used to design optimal training paradigms.
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spelling pubmed-71855782020-05-06 Functional, anatomical and diffusion tensor MRI study of radiology expertise Ouellette, David J. Van Staalduinen, Eric Hussaini, Syed H. Govindarajan, Sindhuja T. Stefancin, Patricia Hsu, Dan-Ling Duong, Timothy Q. PLoS One Research Article BACKGROUND: Repeated practice to acquire expertise could result in the structural and functional changes in relevant brain circuits as a result of long-term potentiation, neurogenesis, glial genesis, and remodeling. PURPOSE: The goal of this study is to use task fMRI to study the brain of expert radiologists performing a diagnosis task where a series of medical images were presented during fMRI acquisition for 12s and participants were asked to choose a diagnosis. Structural and diffusion-tensor MRI were also acquired. METHODS: Radiologists (N = 12, 11M, 38.2±10.3 years old) and non-radiologists (N = 17, 15M, 30.6±5.5 years old) were recruited with informed consent. Medical images were presented for 12 s and three multiple choices were displayed and the participants were asked to choose a diagnosis. fMRI, structural and diffusion-tensor MRI were acquired. fMRI analysis used FSL to determine differences in fMRI responses between groups. Voxel-wise analysis was performed to determine if subcortical volume, cortical thickness and fractional anisotropy differed between groups. Correction for multiple comparisons used false discovery rate. RESULTS: Radiologists showed overall lower task-related brain activation than non-radiologists. Radiologists showed significantly lower activation in the left lateral occipital cortex, left superior parietal lobule, occipital pole, right superior frontal and precentral gyri, lingual gyrus, and the left intraparietal sulcus (p<0.05). There were no significant differences between groups in cortical thickness, subcortical volume and fractional anisotropy (p>0.05). CONCLUSIONS: Radiologists and non-radiologists had no significant difference in structural metrics. However, in diagnosis tasks, radiologists showed markedly lower task-related brain activations overall as well as a number of high-order visual and non-visual brain regions than non-radiologists. Some brain circuits appear to be uniquely associated with differential-diagnosis paradigm expertise that are not involved in simpler object-recognition cases. Improved understanding of the brain circuitry involved in acquisition of expertise might be used to design optimal training paradigms. Public Library of Science 2020-04-27 /pmc/articles/PMC7185578/ /pubmed/32339188 http://dx.doi.org/10.1371/journal.pone.0231900 Text en © 2020 Ouellette et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ouellette, David J.
Van Staalduinen, Eric
Hussaini, Syed H.
Govindarajan, Sindhuja T.
Stefancin, Patricia
Hsu, Dan-Ling
Duong, Timothy Q.
Functional, anatomical and diffusion tensor MRI study of radiology expertise
title Functional, anatomical and diffusion tensor MRI study of radiology expertise
title_full Functional, anatomical and diffusion tensor MRI study of radiology expertise
title_fullStr Functional, anatomical and diffusion tensor MRI study of radiology expertise
title_full_unstemmed Functional, anatomical and diffusion tensor MRI study of radiology expertise
title_short Functional, anatomical and diffusion tensor MRI study of radiology expertise
title_sort functional, anatomical and diffusion tensor mri study of radiology expertise
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185578/
https://www.ncbi.nlm.nih.gov/pubmed/32339188
http://dx.doi.org/10.1371/journal.pone.0231900
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