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Advancements in Neuroimaging

This special issue belongs to the section “Medical Imaging and Theranostics“.

Special Issue Information

Dear Colleagues,

The active development of neuroimaging systems, especially non-invasive ones (EEG, MEG, fMRI, PET, fNIRS, and others), makes it possible to obtain various information about the processes occurring in the human brain, both in a normal state and in pathologies. In particular, information on hemodynamics, electrical and magnetic activity, and structural features of the brain is available. The development of computer systems for storing and processing the obtained data has led to the accumulation of a massive amount of biomedical data (Big Data) on the functioning of the human brain. Consequently, the development and application of modern methods for analyzing neuroimaging Big Data to identify patterns in these data (for example, biomarkers of developing neurodegenerative or neurological diseases or patterns associated with a specific cognitive activity of a person) are hot topics in neuroscience and neuroimaging. Here, interdisciplinary approaches based on the principles of information theory, the methods of statistics, machine learning, nonlinear dynamics, and the theory of complex networks seem to be especially promising. Such methods are in demand for the development of brain–computer interfaces, clinical decision support systems, and the diagnostics of various brain diseases and disorders. Thus, the Special Issue on “Advancements in Neuroimaging” aims to attract high-quality research studies from scientists and specialists that advance the application of state-of-the-art neuroimaging techniques and post-processing methods in scientific and clinical contexts.

Potential areas of interest include but are not limited to the following directions:

  • New and substantive developments in neuroimage acquisition techniques of various modalities;
  • Innovative methods for neuroimaging data and biomedical Big Data processing and analysis;
  • Development of brain–computer interfaces and clinical decision support systems.

The speakers' submissions of "Baltic Forum: Neuroscience, Artificial Intelligence and Complex Systems" and other accepted manuscripts contributing to our objective for advancements in neuroimaging are strongly welcomed for the Special Issue.

Dr. Semen A. Kurkin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Neuroscience
  • Neuroimaging techniques
  • EEG analysis
  • MEG analysis
  • Functional near-infrared spectroscopy (fNIRS)
  • Functional magnetic resonance imaging (fMRI)
  • Brain–computer interfaces
  • Clinical decision support systems
  • Brain diseases
  • Neurorehabilitation
  • Brain functional networks
  • Biomedical Big Data
  • Machine learning methods.

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Diagnostics - ISSN 2075-4418