Deep Learning for Multimodal Brain Data Processing and Analysis

  • 2,296

    Total Downloads

  • 16k

    Total Views and Downloads

Submit your idea

Select the journal/section where you want your idea to be submitted:

Submit your manuscript summarySubmit your manuscript

About this Research Topic

Submission closed

Background

Exploring the mystery of the human brain is the most cutting-edge and challenging scientific problem in this century. At present, the development and maturity of advanced diagnosis and imaging technology make it possible for us to explore the functional structure of the brain from different angles, including functional magnetic resonance imaging (fMRI), structural MRI, and electroencephalogram (EEG), magnetoencephalogram (MEG), etc. These multimodal data have their own advantages in spatial and temporal resolution, which helps us to better understand the working mechanism of the brain from the perspective of functional integration and explore the psychophysiology mechanism of various brain diseases.

The traditional processing and analysis methods mainly rely on expert systems, which have run into the bottleneck of incomplete knowledge and cannot meet the demand of the big data era. In recent years, deep learning becomes an increasingly reliable option that is capable of finding out the intrinsic, and potentially valuable knowledge from the vast amounts of multimodal brain data, yielding more intelligent data processing and analysis. However, there are still challenges in deep learning-based multimodal brain data analysis. On the one hand, multimodal brain data is quite different from the conventional image and audio data in terms of data dimension and distribution. Designing appropriate deep learning networks is of significance for improving the diagnosis and prognosis. On the other hand, clinical decision-making needs not only high performance but also strong interpretability. It is also worth studying to light up the black-box attribute of deep learning and find potential biomarkers in multimodal brain data.

Original research manuscripts utilizing deep learning methods in multimodal brain data processing and analysis are welcome to contribute to this Research Topic, including but not limited to the following subjects:
• Advanced deep learning approaches for multimodal brain data classification/mapping, including but not limited to structural MRI, functional MRI, diffusion-weighted imaging, MR-spectroscopy, PET, EEG, MEG, CT, etc.
• Innovative multimodal brain data fusion approaches and analysis.
• Lightweight deep networks for a low-level vision of multimodal brain data.
• Neural architecture search for multimodal brain data processing and analysis.
• Novel Multimodal or crossmodal feature learning and retrieval of brain data.
• Interpretable deep learning methods for multimodal brain data analysis and biomarkers discovery.
• Cutting-edge applications and validation on multimodal brain data.

Keywords: multimodal, deep learning, data fusion, interpretation, structural MRI, functional MRI, diffusion-weighted imaging, MR-spectroscopy, PET, EEG, MEG, CT, brain data analysis

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Topic editors

Frequently asked questions

  • Frontiers' Research Topics are collaborative hubs built around an emerging theme.Defined, managed, and led by renowned researchers, they bring communities together around a shared area of interest to stimulate collaboration and innovation.

    Unlike section journals, which serve established specialty communities, Research Topics are pioneer hubs, responding to the evolving scientific landscape and catering to new communities.

  • The goal of Frontiers' publishing program is to empower research communities to actively steer the course of scientific publishing. Our program was implemented as a three-part unit with fixed field journals, flexible specialty sections, and dynamically emerging Research Topics, connecting communities of different sizes and maturity.

    Research Topics originate from the scientific community. Many of our Research Topics are suggested by existing editorial board members who have identified critical challenges or areas of interest in their field.

  • As an editor, Research Topics will help you build your journal, as well as your community, around emerging, cutting-edge research. As research trailblazers, Research Topics attract high-quality submissions from leading experts all over the world.

    A thriving Research Topic can potentially evolve into a new specialty section if there is sustained interest and a growing community around it.

  • Each Research Topic must be approved by the specialty chief editor, and they fall under the editorial oversight of our editorial boards, supported by our in-house research integrity team. The same standards and rigorous peer review processes apply to articles published as part of a Research Topic as for any other article we publish.

      In 2023, 80% of the Research Topics we published were edited or co-edited by our editorial board members, who are already familiar with their journal's scope, ethos, and publishing model. All other topics are guest edited by leaders in their field, each vetted and formally approved by the specialty chief editor.

  • Publishing your article within a Research Topic with other related articles increases its discoverability and visibility, which can lead to more views, downloads, and citations. Research Topics grow dynamically as more published articles are added, causing frequent revisiting, and further visibility.

    As Research Topics are multidisciplinary, they are cross-listed in several fields and section journals – increasing your reach even more and giving you the chance to expand your network and collaborate with researchers in different fields, all focusing on expanding knowledge around the same important topic.

    Our larger Research Topics are also converted into ebooks and receive social media promotion from our digital marketing team.

     

  • Frontiers offers multiple article types, but it will depend on the field and section journals in which the Research Topic will be featured. The available article types for a Research Topic will appear in the drop-down menu during the submission process.

    Check available article types here 

  • Yes, we would love to hear your ideas for a topic. Most of our Research Topics are community-led and suggested by researchers in the field. Our in-house editorial team will contact you to talk about your idea and whether you’d like to edit the topic. If you’re an early-stage researcher, we will offer you the opportunity to coordinate your topic, with the support of a senior researcher as the topic editor. 

    Suggest your topic here 

  • A team of guest editors (called topic editors) lead their Research Topic. This editorial team oversees the entire process, from the initial topic proposal to calls for participation, the peer review, and final publications.

    The team may also include topic coordinators, who help the topic editors send calls for participation, liaise with topic editors on abstracts, and support contributing authors. In some cases, they can also be assigned as reviewers.

  • As a topic editor (TE), you will take the lead on all editorial decisions for the Research Topic, starting with defining its scope. This allows you to curate research around a topic that interests you, bring together different perspectives from leading researchers across different fields and shape the future of your field. 

     

    You will choose your team of co-editors, curate a list of potential authors, send calls for participation and oversee the peer review process, accepting or recommending rejection for each manuscript submitted.

  • As a topic editor, you're supported at every stage by our in-house team. You will be assigned a single point of contact to help you on both editorial and technical matters. Your topic is managed through our user-friendly online platform, and the peer review process is supported by our industry-first AI review assistant (AIRA).

  • If you’re an early-stage researcher, we will offer you the opportunity to coordinate your topic, with the support of a senior researcher as the topic editor. This provides you with valuable editorial experience, improving your ability to critically evaluate research articles and enhancing your understanding of the quality standards and requirements for scientific publishing, as well as the opportunity to discover new research in your field, and expand your professional network.

  • Yes, certificates can be issued on request. We are happy to provide a certificate for your contribution to editing a successful Research Topic.

  • Research Topics thrive on collaboration and their multi-disciplinary approach around emerging, cutting-edge themes, attract leading researchers from all over the world.

  • As a topic editor, you can set the timeline for your Research Topic, and we will work with you at your pace. Typically, Research Topics are online and open for submissions within a few weeks and remain open for participation for 6 – 12 months. Individual articles within a Research Topic are published as soon as they are ready.

    Find out more about our Research Topics

  • Our fee support program ensures that all articles that pass peer review, including those published in Research Topics, can benefit from open access – regardless of the author's field or funding situation.

    Authors and institutions with insufficient funding can apply for a discount on their publishing fees. A fee support application form is available on our website.

  • In line with our mission to promote healthy lives on a healthy planet, we do not provide printed materials. All our articles and ebooks are available under a CC-BY license, so you can share and print copies.

     

Participating Journals

Impact

  • 16kTopic views
  • 12kArticle views
  • 2,296Article downloads
View impact