Research article Special Issues

A 3D multiscale view convolutional neural network with attention for mental disease diagnosis on MRI images


  • Received: 20 July 2021 Accepted: 17 August 2021 Published: 23 August 2021
  • Computer Assisted Diagnosis (CAD) based on brain Magnetic Resonance Imaging (MRI) is a popular research field for the computer science and medical engineering. Traditional machine learning and deep learning methods were employed in the classification of brain MRI images in the previous studies. However, the current algorithms rarely take into consideration the influence of multi-scale brain connectivity disorders on some mental diseases. To improve this defect, a deep learning structure was proposed based on MRI images, which was designed to consider the brain's connections at different sizes and the attention of connections. In this work, a Multiscale View (MV) module was proposed, which was designed to detect multi-scale brain network disorders. On the basis of the MV module, the path attention module was also proposed to simulate the attention selection of the parallel paths in the MV module. Based on the two modules, we proposed a 3D Multiscale View Convolutional Neural Network with Attention (3D MVA-CNN) for classification of MRI images for mental disease. The proposed method outperformed the previous 3D CNN structures in the structural MRI data of ADHD-200 and the functional MRI data of schizophrenia. Finally, we also proposed a preliminary framework for clinical application using 3D CNN, and discussed its limitations on data accessing and reliability. This work promoted the assisted diagnosis of mental diseases based on deep learning and provided a novel 3D CNN method based on MRI data.

    Citation: Zijian Wang, Yaqin Zhu, Haibo Shi, Yanting Zhang, Cairong Yan. A 3D multiscale view convolutional neural network with attention for mental disease diagnosis on MRI images[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 6978-6994. doi: 10.3934/mbe.2021347

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  • Computer Assisted Diagnosis (CAD) based on brain Magnetic Resonance Imaging (MRI) is a popular research field for the computer science and medical engineering. Traditional machine learning and deep learning methods were employed in the classification of brain MRI images in the previous studies. However, the current algorithms rarely take into consideration the influence of multi-scale brain connectivity disorders on some mental diseases. To improve this defect, a deep learning structure was proposed based on MRI images, which was designed to consider the brain's connections at different sizes and the attention of connections. In this work, a Multiscale View (MV) module was proposed, which was designed to detect multi-scale brain network disorders. On the basis of the MV module, the path attention module was also proposed to simulate the attention selection of the parallel paths in the MV module. Based on the two modules, we proposed a 3D Multiscale View Convolutional Neural Network with Attention (3D MVA-CNN) for classification of MRI images for mental disease. The proposed method outperformed the previous 3D CNN structures in the structural MRI data of ADHD-200 and the functional MRI data of schizophrenia. Finally, we also proposed a preliminary framework for clinical application using 3D CNN, and discussed its limitations on data accessing and reliability. This work promoted the assisted diagnosis of mental diseases based on deep learning and provided a novel 3D CNN method based on MRI data.



    The Editorial Office of AIMS Materials Science would like to extend our most sincere gratitude to all the authors, reviewers, and advisory board and editorial board members for their contributions to the journal of AIMS Materials Science in 2024. We have made a meaningful progress in 2024, and we look forward to a more productive year in 2025.

    AIMS Materials Science is an international Open Access journal devoted to rapidly publishing peer-reviewed, high-quality, original papers in the field of materials technology and science. In 2024, we had received 206 manuscripts, after carefully and professionally reviewing, 60 of them have been accepted and published. These published papers include 48 research papers, 9 review papers and 3 editorials. In 2024, the acceptance rate of our journal was 29.1%, reflecting our commitment to accepting and publishing high-quality manuscripts that meet the scientific and technological standards of the journal. The authors of the published manuscripts are from 25 countries worldwide. The sources of the submissions showed a significant increase in international collaborations on the research of materials science. It now is a significant presence in the academic publishing market.

    One of the important strategies of attracting high quality and high impact papers to our journal has been the calls for special issues. In 2024, 2 special issues were established, we hope that these interesting special issues will attract more high-quality manuscripts. AIMS Materials Science has 70 enthusiastic members on the editorial board, including 7 new members who joined in 2024. We will continue to renew and accept dedicated researchers to join the Editorial Board in 2025.

    In 2024, AIMS Materials Science published 6 issues, a total of 60 articles were published online, and the category of published articles is shown in Table 1. As shown in Figure 1, compared to 2023, the number of submissions in 2024 has slightly decreased. In 2025, we will strive to invite more researchers in the field of materials to submit high-quality manuscripts to our journal.

    Table 1.  Category of published articles.
    Type Number
    Research article 48
    Review 9
    Editorial 3

     | Show Table
    DownLoad: CSV
    Figure 1.  Number of submissions and publications in the past 3 years.

    Submission: 206

    Online: 60

    Rejection: 131

    In process: 15

    Online rate: 29.1%

    Median publication time (from submission to online): 81.8 days

    The processing time of the manuscript comprises four measurement indicators: submission to first decision time, submission to final decision time, acceptance to publication time and average publication time. Figure 2 shows the changes in different indicators over four quarters in 2024. As shown in Figure 2a, the average submission to first decision time in 2024 is 36.63 days, which includes time for editorial board members to do brief check and for reviewers to complete the review report. The time between the first decision and the final decision largely depends on the time required for the authors to complete the revisions and for the reviewers to review it. Figure 2b displays the submission to final decision time in 2024 is 67.62 days. The average time from manuscript acceptance to publication is influenced by typesetting, English checking, and author proofreading. Compared to 2023, this time has been shortened to 14.20 days. In summary, the average time from submission to publication in 2024 is 81.82 days, which is also an improvement compared to last year.

    Figure 2.  The processing time of the manuscript.

    Organizing high-quality special issue is a very important work in 2024. The journal is committed to collecting and summarizing frontier and hot topics, establishing corresponding special issues, and attracting high-quality articles. In 2024, 2 special issues were called. So far, as shown in Table 2, we have 4 open special issues and welcome scholars from all over the world to choose suitable special issues for their research interests to submit. We hope the Editorial Board members to propose more potential topics, and to act as editors of special issues. In addition, we also encourage authors to propose interesting topic. Table 3 shows some examples of special issues with 4 papers.

    Table 2.  Currently available open special issues.
    Special issues Link
    Smart Materials in Civil Structures https://www.aimspress.com/aimsmates/article/6725/special-articles
    Advances in Glass and Glass Crystalline Materials https://www.aimspress.com/aimsmates/article/6585/special-articles
    Advances in Laser Materials and Processing Technologies https://www.aimspress.com/aimsmates/article/6635/special-articles
    Properties and Modelling of Concretes Modified by Additions and Nanomaterials https://www.aimspress.com/aimsmates/article/6102/special-articles

     | Show Table
    DownLoad: CSV
    Table 3.  Special issues with 4 papers.
    Special issues Link Papers
    Advances in Glass and Glass Crystalline Materials https://www.aimspress.com/aimsmates/article/6585/special-articles 4
    Advances in Laser Materials and Processing Technologies https://www.aimspress.com/aimsmates/article/6635/special-articles 4

     | Show Table
    DownLoad: CSV

    Tables 4 and 5 are top 10 articles with highest HTML views (published in 2024) and citations (last two years).

    Table 4.  The top 10 articles with highest HTML views published in 2024.
    No. Title Views
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    DownLoad: CSV
    Table 5.  The top 10 articles with highest citations (last two years).
    No. Title Publication year Citations
    2023 2024 Total
    1 Mechanical properties and brittleness of concrete made by combined fly ash, silica fume and nanosilica with ordinary Portland cement 2023 25 45 70
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    6 Contribution to study the effect of (Reuss, LRVE, Tamura) models on the axial and shear stress of sandwich FGM plate (Ti-6A1-4V/ZrO2) subjected on linear and nonlinear thermal loads 2023 1 4 5
    7 The effect of the electrolyte composition on the microstructure and properties of coatings formed on a titanium substrate by microarc oxidation 2024 0 3 3
    8 Investigating parametric homogenization models for natural frequency of FGM nano beams 2023 0 3 3
    9 Fe-TiO2/zeolite H-A photocatalyst for degradation of waste dye (methylene blue) under UV irradiation 2023 2 1 3
    10 Assessment of the effect of small additions of some rare earth elements on the structure and mechanical properties of castings from hypereutectic chromium white irons 2023 2 1 3

     | Show Table
    DownLoad: CSV

    In 2024, we received 206 submissions, of which 60 have been published online and 15 are still in processing. In total, we published 60 papers which consists of 48 research papers, 9 review papers and 3 editorials in 2024. Figure 3 shows the diversity of the author distribution. We would like to express our gratitude to all authors for their trust and support in AIMS Materials Science. We firmly believe that this widely distributed and powerful group has promoted the development of materials science.

    Figure 3.  Author's countries of submission.

    The journal's Editorial Board is now made up of 70 senior expert members from 17 countries representing a diverse range of research experience, expertise and countries. 90% of our EB members are coming from China, Italy, USA, Canada, Germany, UK, Portugal, Australia, France and Spain (Figure 4). In the term of editorial board, most members contributed a lot to our journal. We will continue to invite dedicated experts and researchers in order to renew the Editorial Board in 2025.

    Figure 4.  Country distribution of editorial board members.

    We received more than 200 manuscript submissions and published 60 papers in 2024. In the past year, with the friendly help of the guest editors, we have successfully established 2 special issues. In 2024, with the support of the editorial board members and the editor-in-chief, as well as the contributions of authors and reviewers, AIMS Materials Science receive more and more attention.

    We will continue to elevate our journal to a higher level with the joint efforts of the editorial board, editors, and contributing authors in the 2025. The goal for us to run this journal is to secure the best scientific authors and papers that ensures AIMS Materials Science to attract more citations and to stay at the forefront of professional publications in materials, so that we provide the scientific community with a high-quality journal that will address global challenges and new frontiers in the field of materials science and engineering. To achieve this goal, following major developments are considered in 2025:

    Firstly, we hope to attract high reputation and professional scholars in the materials science field to contribute more manuscripts. In addition, we will try to invite more high-quality articles, especially research and review. We would like to increase the diversity of articles from developed countries. Meanwhile, we will strive to shorten the manuscript processing cycle and accelerate the publication of every high-quality article.

    Secondly, we will continue to look for more outstanding editorial board members in the field of materials science, especially in flexible materials, new energy storage materials and the application of artificial intelligence in materials preparation, etc.

    Lastly, increasing the impact of journals is also an important plan for 2025. We hope to invite our board members to increase the implementation of this plan by soliciting and promoting high-quality articles and special issues. We will try to invite more manuscripts on interesting topics and special issues to improve the citations of published articles.

    We really appreciate the time and effort of all our Editorial Board Members and Guest Editors, as well as our reviewers devoted to our journal. All your excellent professional effort and expertise provided us with very useful and professional suggestions in 2024. Last, but not least, thanks are given to the hard work of the in-house editorial team.



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