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Feature Review Papers in Theoretical and Applied Neuroscience
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Feature Review Papers in Theoretical and Applied Neuroscience

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".

Deadline for manuscript submissions: closed (10 April 2025) | Viewed by 532

Special Issue Editor

Prof. Dr. Peter Walla

E-Mail Website
Guest Editor
Faculty of Psychology, Sigmund Freud Private University, Freudplatz 1, 1020 Vienna, Austria
Interests: non-conscious affective; cognitive brain processes, memory, perception; self-referential processing, olfaction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I am pleased to announce that I will be serving as a Guest Editor for the Special Issue “Feature Review Papers in Theoretical and Applied Neuroscience”. Neuroscience is a meta-discipline, appealing to a growing number of scholars from other disciplines who recognize that attaining knowledge about brain functions is universally beneficial. This Special Issue welcomes comprehensive reviews from all over the world relating to any applied or theoretical topic on neuroscience.

I would like to invite authors to submit high-quality reviews that will contribute to this field of research. Suggested topics pertaining to this Special Issue include, but are not limited to, the following:

  • Neurophilosophy;Neuromarketing;
  • Neuroeconomics;
  • Neurolaw;
  • Neuroconsulting;
  • Neurophysics;
  • Neurobiology;
  • Clinical neuroscience;
  • Affective neuroscience;
  • Cognitive neuroscience;
  • Neurophysiology;
  • Non-conscious mind;
  • Consciousness;
  • Neuro AI;
  • Neutritional neuroscience.

Prof. Dr. Peter Walla
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Applied Sciences 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 2400 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

  • neurophysics
  • neurobiology
  • clinical neuroscience
  • affective neuroscience

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Published Papers (1 paper)

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Review

48 pages, 6778 KiB  
Review
A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders
by Cosmina-Mihaela Rosca and Adrian Stancu
Appl. Sci. 2025, 15(10), 5442; https://doi.org/10.3390/app15105442 - 13 May 2025
Viewed by 190
Abstract
This research aims to explore the interdisciplinary connection between the field of neurology and artificial intelligence (AI) through machine learning (ML) algorithms. The central objective is to evaluate the current state of research in the Neuro-ML field and identify gaps in the literature [...] Read more.
This research aims to explore the interdisciplinary connection between the field of neurology and artificial intelligence (AI) through machine learning (ML) algorithms. The central objective is to evaluate the current state of research in the Neuro-ML field and identify gaps in the literature that require additional approaches. To achieve this objective, 10 analyses were introduced that analyze the distribution of articles based on keywords, countries, years, publishers, and ML algorithms used in the context of neurological diseases. Surveys were also conducted to identify the diseases most frequently studied through ML algorithms. Thus, it was found that Alzheimer’s disease (37 articles for Support Vector Regression—SVR; 31 for Random Forest—RF), Parkinson’s disease (46 articles for SVM and 48 for RF), and multiple sclerosis (9 articles for SVM) are the most studied diseases in the field of Neuro-ML. The study analyzes Alzheimer’s, Parkinson’s, and multiple sclerosis in detail by focusing on diagnosis. The overall results highlight an increase in researchers’ interest in applying ML in neurology, with models such as SVM (597 articles), Artificial Neural Network (525 articles), and RF (457 articles) being the most used. The results highlighted three major gaps: the underrepresentation of rare diseases, the lack of standardization in evaluating the performance of ML models, and the lack of exploration of algorithms with greater implementation difficulty, such as Extreme Gradient Boosting and Multilayer Perceptron. The value analysis of the performance metrics of ML models demonstrates the ability to correctly classify neuro-degenerative diseases, with high accuracy in some cases (for example, 97.46% accuracy in Alzheimer’s diagnosis), but there may still be improvements. Future directions include exploring rare diseases, investigating underutilized algorithms, and developing standardized protocols for evaluating the performance of ML models, which will facilitate the comparison of results across different studies. Full article
(This article belongs to the Special Issue Feature Review Papers in Theoretical and Applied Neuroscience)
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