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Brain Sciences
Special Issues
Brain Magnetic Resonance Imaging in Neurological Disorders: 2nd Edition
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Brain Magnetic Resonance Imaging in Neurological Disorders: 2nd Edition

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".

Deadline for manuscript submissions: 1 August 2025 | Viewed by 720

Special Issue Editors

Dr. Francesca Benuzzi

E-Mail Website
Guest Editor
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
Interests: neuroimaging; emotion; neurological disorder; fMRI; neuropsychology; cognitive neuroscience
Special Issues, Collections and Topics in MDPI journals
Dr. Claudia Casadio

E-Mail Website
Guest Editor Assistant
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
Interests: neuroimaging; time perception; emotion; neurological disorder; fMRI; neuropsychology

Special Issue Information

Dear Colleagues,

In recent years, neuroimaging techniques, and particularly magnetic resonance imaging (MRI), have significantly advanced our understanding of diseases affecting the nervous system. Both structural and functional MRI brain mapping are essential for uncovering changes associated with various neurological conditions, offering profound insights into underlying pathological processes. Additionally, MRI has become a crucial tool in clinical practice, aiding in the identification of eloquent brain regions to be preserved during neurosurgery and the development of therapeutic targets and prognostic biomarkers.

This Special Issue of Brain Sciences invites submissions of cutting-edge research and comprehensive reviews highlighting the latest advancements in studying neurological diseases through MRI. We welcome contributions focused on disorders such as epilepsy, neurodegenerative diseases, brain tumors, and cerebrovascular conditions. Studies employing structural and functional MRI brain mapping to explore these and other related topics are particularly encouraged.

We look forward to your valuable contributions to this second Special Issue.

Dr. Francesca Benuzzi
Guest Editor

Dr. Claudia Casadio
Guest Editor Assistant

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. Brain Sciences is an international peer-reviewed open access monthly 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 2200 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

  • neurological disorder
  • brain
  • neuroimaging
  • magnetic resonance imaging
  • epilepsy
  • neurodegenerative diseases
  • brain tumors

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Published Papers (1 paper)

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Research

19 pages, 2199 KiB  
Article
Olfactory Testing and Gray Matter Volume: A Combined Approach to Predict the Conversion to Alzheimer
by Claudia Casadio, Daniela Ballotta, Francesco Ricci, Vanessa Zanelli, Omar Carpentiero, Maria Giulia Corni, Elisa Bardi, Nicola Filippini, Fausta Lui, Paolo Frigio Nichelli, Maria Angela Molinari and Francesca Benuzzi
Brain Sci. 2025, 15(3), 310; https://doi.org/10.3390/brainsci15030310 - 15 Mar 2025
Viewed by 590
Abstract
Background/Objectives: Olfactory decline is common in normal aging and frequent in neurodegenerative diseases such as Alzheimer’s disease (AD). Therefore, it has been suggested as a marker for the Mild Cognitive Impairment (MCI) progression to AD. Although suggested, the relationship between olfactory deficits [...] Read more.
Background/Objectives: Olfactory decline is common in normal aging and frequent in neurodegenerative diseases such as Alzheimer’s disease (AD). Therefore, it has been suggested as a marker for the Mild Cognitive Impairment (MCI) progression to AD. Although suggested, the relationship between olfactory deficits and cerebral atrophy in MCI conversion to AD is still debated. This study aims at investigating the olfaction-related morphological and behavioural alterations in MCI in order to understand whether they can predict the progression to AD. Methods: Twenty-seven MCI patients and thirty-five healthy controls (HCs) took part in the study, with follow-up showing conversion to AD in thirteen patients (converter-MCI, cMCI). The Burgarth Sniffin’ Sticks Tests (threshold—TT, discrimination—DT, identification—IT) assessed the olfactory capacities. The Voxel-Based Morphometry (VBM) analysis investigated the atrophic patterns. Results: The Receiving Operating Characteristics analyses demonstrated that DT and IT could distinguish HC from MCI (DT Area Under Curve—AUC = 0.8; IT AUC = 0.8), as well as cMCI from sMCI (stable) patients (DT AUC = 0.7; IT AUC = 0.6), similarly to memory and executive functions tests. Olfactory performance positively correlated with memory tests in sMCI (all rhos ≥ 0.8, all ps < 0.01), whereas it positively correlated with executive functions in cMCI (all rhos ≥ 0.6, all ps < 0.05). VBM results revealed distinct atrophic patterns in cMCI, especially in the olfactory cortex, that were already present at the MCI diagnosis, before AD conversion. A larger volume of the olfactory cortex was associated with better memory and executive functions. Conclusions: Quantitative olfactory and morphological patterns represent non-invasive, predictive biomarkers of the MCI progression to AD; thus, their assessments at MCI onset allows earlier interventions for MCI patients. Full article
(This article belongs to the Special Issue Brain Magnetic Resonance Imaging in Neurological Disorders: 2nd Edition)
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