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Diagnosis of Schizophrenia Based on Deep Learning Using fMRI

Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification effect of traditional classification methods on m...

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Detalles Bibliográficos
Autores principales: Zheng, JinChi, Wei, XiaoLan, Wang, JinYi, Lin, HuaSong, Pan, HongRun, Shi, YuQing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594998/
https://www.ncbi.nlm.nih.gov/pubmed/34795793
http://dx.doi.org/10.1155/2021/8437260
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author Zheng, JinChi
Wei, XiaoLan
Wang, JinYi
Lin, HuaSong
Pan, HongRun
Shi, YuQing
author_facet Zheng, JinChi
Wei, XiaoLan
Wang, JinYi
Lin, HuaSong
Pan, HongRun
Shi, YuQing
author_sort Zheng, JinChi
collection PubMed
description Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification effect of traditional classification methods on magnetic resonance data, a method of classification of functional magnetic resonance imaging data is proposed in conjunction with the convolutional neural network algorithm. We take functional magnetic resonance imaging (fMRI) data for schizophrenia as an example, to extract effective time series from preprocessed fMRI data, and perform correlation analysis on regions of interest, using transfer learning and VGG16 net, and the functional connection between schizophrenia and healthy controls is classified. Experimental results show that the classification accuracy of fMRI based on VGG16 is up to 84.3%. On the one hand, it can improve the early diagnosis of schizophrenia, and on the other hand, it can solve the classification problem of small samples and high-dimensional data and effectively improve the generalization ability of deep learning models.
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spelling pubmed-85949982021-11-17 Diagnosis of Schizophrenia Based on Deep Learning Using fMRI Zheng, JinChi Wei, XiaoLan Wang, JinYi Lin, HuaSong Pan, HongRun Shi, YuQing Comput Math Methods Med Research Article Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification effect of traditional classification methods on magnetic resonance data, a method of classification of functional magnetic resonance imaging data is proposed in conjunction with the convolutional neural network algorithm. We take functional magnetic resonance imaging (fMRI) data for schizophrenia as an example, to extract effective time series from preprocessed fMRI data, and perform correlation analysis on regions of interest, using transfer learning and VGG16 net, and the functional connection between schizophrenia and healthy controls is classified. Experimental results show that the classification accuracy of fMRI based on VGG16 is up to 84.3%. On the one hand, it can improve the early diagnosis of schizophrenia, and on the other hand, it can solve the classification problem of small samples and high-dimensional data and effectively improve the generalization ability of deep learning models. Hindawi 2021-11-09 /pmc/articles/PMC8594998/ /pubmed/34795793 http://dx.doi.org/10.1155/2021/8437260 Text en Copyright © 2021 JinChi Zheng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zheng, JinChi
Wei, XiaoLan
Wang, JinYi
Lin, HuaSong
Pan, HongRun
Shi, YuQing
Diagnosis of Schizophrenia Based on Deep Learning Using fMRI
title Diagnosis of Schizophrenia Based on Deep Learning Using fMRI
title_full Diagnosis of Schizophrenia Based on Deep Learning Using fMRI
title_fullStr Diagnosis of Schizophrenia Based on Deep Learning Using fMRI
title_full_unstemmed Diagnosis of Schizophrenia Based on Deep Learning Using fMRI
title_short Diagnosis of Schizophrenia Based on Deep Learning Using fMRI
title_sort diagnosis of schizophrenia based on deep learning using fmri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594998/
https://www.ncbi.nlm.nih.gov/pubmed/34795793
http://dx.doi.org/10.1155/2021/8437260
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