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Brain Sciences
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From Diagnosis to Care: Cognitive Challenges and Innovations in Multiple...
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From Diagnosis to Care: Cognitive Challenges and Innovations in Multiple Sclerosis

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Systems Neuroscience".

Deadline for manuscript submissions: closed (31 October 2025) | Viewed by 1471

Special Issue Editors

Dr. Adriana Aguayo-Arelis

E-Mail Website
Guest Editor
Department of Applied Psychology, University Center for Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico
Interests: multiple sclerosis; cognition; neuropsychology; primary caregivers; diagnostic bi-omarkers
Dr. Brenda Viridiana Rabago-Barajas

E-Mail Website
Guest Editor
Department of Applied Psychology, University Center for Health Sciences, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico
Interests: multiple sclerosis; cognition; neuropsychology; primary caregivers; diagnostic biomarkers

Special Issue Information

Dear Colleagues,

Multiple sclerosis (MS) is a chronic neurodegenerative disease that presents complex challenges in diagnosis and treatment. Over the years, there have been advancements in our understanding of the disease, but difficulties in early diagnosis, neuropsychological assessment, and patient management continue to be significant barriers.

This Special Issue focuses on the challenges and advancements in the diagnosis, treatment, and care of MS patients, with a particular emphasis on cognitive and neuropsychological aspects. The goal is to bring together research on innovations in neuropsychological testing, the role of primary caregivers, and the impact of biomarkers on clinical decision-making.

Research on vulnerable populations, occupational challenges in neurodegenerative diseases, and the latest advancements in diagnostic biomarkers are encouraged. This Special Issue aims to present innovative studies that could transform intervention strategies and improve patient outcomes.

We invite researchers, clinicians, and experts in neuropsychology, rehabilitation, and biomarkers to submit their latest studies. We are seeking papers that explore both innovative approaches and unresolved challenges in MS to advance knowledge and treatment of the disease.

Dr. Adriana Aguayo-Arelis
Dr. Brenda Viridiana Rabago-Barajas
Guest Editors

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. 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

  • multiple sclerosis
  • neuropsychological diagnosis
  • diagnostic biomarkers
  • cognition and care
  • research on neurodegenerative diseases

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Published Papers (2 papers)

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Research

12 pages, 448 KB  
Article
Norma Latina Neuropsychological Evaluation in Individuals with Multiple Sclerosis and Its Relationship with Disability
by Adriana Aguayo-Arelis, Brenda Viridiana Rabago-Barajas, Alina Mariela Cárdenas Gómez, Jesús Emmanuel Arana Yepez, Ana Miriam Saldaña-Cruz and Alberto Fragoso-Ruiz
Brain Sci. 2025, 15(12), 1251; https://doi.org/10.3390/brainsci15121251 - 21 Nov 2025
Viewed by 542
Abstract
Background: Multiple Sclerosis (MS) is an inflammatory, autoimmune and neurodegenerative disease of the central nervous system that leads to the progressive loss of motor and sensory functions. Cognitive dysfunction is a common symptom that significantly affects quality of life and daily activities. The [...] Read more.
Background: Multiple Sclerosis (MS) is an inflammatory, autoimmune and neurodegenerative disease of the central nervous system that leads to the progressive loss of motor and sensory functions. Cognitive dysfunction is a common symptom that significantly affects quality of life and daily activities. The MS diagnosis involves progressive disability due to its neurodegenerative nature. Objective: to analyze the relationship between the Latin Norm Neuropsychological Assessment and Disability in Multiple Sclerosis (NLNAMS) battery and physical disability in patients with MS. Methods: A retrospective review of 100 medical records was conducted. Three sections of clinical information were analyzed: (1) sociodemographic data and medical history, (2) neurological examination including disability measures using the Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Severity Score (MSS), and (3) neuropsychological assessment results obtained through the NLNAMS battery to evaluate cognitive functioning across multiple domains. Results: High correlations were observed between EDSS scores and performance on the Symbol Digit Modalities Test (SDMT) and the Hopkins Verbal Learning Test–Revised (HVLT-R), which assess attention, processing speed and memory. Strong correlations were also found between EDSS and performance on verbal fluency tests, Trail Making Test (TMT), Rey–Osterrieth Complex Figure copy (ROCF), and the Modified Wisconsin Card Sorting Test (M-WCST). No significant correlation with MSS was found. Conclusions: The neuropsychological evaluation conducted with the NLNAMS battery showed a relationship between physical disability in multiple sclerosis and the domains of attention, processing speed, and memory. Therefore, this battery may provide valuable information for disease monitoring and prognosis. Full article
(This article belongs to the Special Issue From Diagnosis to Care: Cognitive Challenges and Innovations in Multiple Sclerosis)
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14 pages, 449 KB  
Article
Disability and Non-Motor Symptoms in Multiple Sclerosis: Exploring Associations and Predictive Factors
by Ana Jerković, Ivona Stipica Safić, Sanda Pavelin, Nikolina Pleić, Klaudia Duka Glavor, Igor Vujović, Joško Šoda, Jasna Duranović and Maja Rogić Vidaković
Brain Sci. 2025, 15(10), 1122; https://doi.org/10.3390/brainsci15101122 - 18 Oct 2025
Cited by 1 | Viewed by 646
Abstract
Background/Objectives: The relationship between multiple sclerosis (MS) disability and co-occurring non-motor symptomatology is not well understood. This study examined the association between disability status and non-motor symptoms—sleep quality, depression, anxiety, and fatigue—in people with multiple sclerosis (MS), as well as the contribution of [...] Read more.
Background/Objectives: The relationship between multiple sclerosis (MS) disability and co-occurring non-motor symptomatology is not well understood. This study examined the association between disability status and non-motor symptoms—sleep quality, depression, anxiety, and fatigue—in people with multiple sclerosis (MS), as well as the contribution of sleep quality to the prediction of fatigue, depression, and anxiety in MS. Methods: A cross-sectional study included 469 MS and 369 control subjects. Disability status of MS subjects was assessed with the Expanded Disability Status Scale (EDSS), while fatigue, depression, anxiety, and sleep quality were evaluated with the Fatigue Severity Scale (FSS), the Hospital Anxiety and Depression Scale (HADS), and the Pittsburgh Sleep Quality Index (PSQI), respectively. Statistical analyses encompassed group comparisons, Pearson correlations, and hierarchical regression models adjusted for age, sex, and EDSS. Results: The results show that MS subjects exhibited higher FSS, HADS-D, and PSQI scores than controls, with intercorrelations and only weak associations with EDSS severity (r = 0.15–0.29). Moreover, PSQI global and HADS-D scores increased with higher EDSS severity, while FSS scores peaked in the moderate EDSS range (4.5–6.5). Global PSQI score independently predicted FSS, HADS-D, and HADS-A. Daytime dysfunction, sleep disturbances, and sleep medication use significantly predicted FSS, HADS-D, and HADS-A scores. Conclusions: Study findings highlight the role of sleep quality in exacerbating depression, anxiety, and fatigue in MS. Full article
(This article belongs to the Special Issue From Diagnosis to Care: Cognitive Challenges and Innovations in Multiple Sclerosis)
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