Luana Karoline Castro Silva, Lidiane Andrea Oliveira Lima, Carla Sabariego, Luana Wendy de Oliveira Sousa, Shamyr Sulyvan de Castro
{"title":"The paradise-24 questionnaire: a review of language versions, psychometric evidence, and application in brain disorder.","authors":"Luana Karoline Castro Silva, Lidiane Andrea Oliveira Lima, Carla Sabariego, Luana Wendy de Oliveira Sousa, Shamyr Sulyvan de Castro","doi":"10.1007/s10072-025-08487-y","DOIUrl":"https://doi.org/10.1007/s10072-025-08487-y","url":null,"abstract":"<p><strong>Background: </strong>The high prevalence of brain disorders and their impact on populations requires a better understanding of how affected individuals function daily. PARADISE-24, a tool based on the biopsychosocial model of the International Classification of Functioning, Disability, and Health (ICF), was designed to assess the impact of brain disorders. However, information on translations, psychometric properties, and its use remains limited.</p><p><strong>Objective: </strong>This systematic review aims to provide an overview of PARADISE-24 translations, psychometric properties, and the brain disorders in which it has been applied as an assessment tool.</p><p><strong>Methods: </strong>The PRISMA statement guidelines informed the reporting. A structured literature search was performed until January 2025 in PubMed, APA PsycINFO, Web of Science, and SCOPUS. Two reviewers independently retrieved studies. The studies' methodological quality and the quality of evidence were stated.</p><p><strong>Results: </strong>From 919 identified studies, twelve articles were included. Five evaluated psychometric measures and seven used PARADISE-24 to identify impacts in individuals with multiple sclerosis, epilepsy, migraine, stroke, schizophrenia, Parkinson's disease, and people with substance use disorders. The results report high level of evidence in internal consistency, construct validity, and responsiveness, and considered moderate evidence available in reliability due to the doubtful methodological quality of the studies. Only one translated version was found.</p><p><strong>Conclusion: </strong>Although the PARADISE-24 questionnaire is one of the first and only that assesses the impact of brain disorders based on the ICF, this questionnaire had only four measurement properties evaluated. More validation studies are needed, as well as encouragement for translating the PARADISE-24 into other languages.</p>","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145239224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning-based non-invasive Parkinson's disease diagnostic model using clinical blood biomarkers.","authors":"Jiaqi Han, Mengge Sun, Ji Yang, Yu An","doi":"10.1007/s10072-025-08503-1","DOIUrl":"https://doi.org/10.1007/s10072-025-08503-1","url":null,"abstract":"<p><strong>Background: </strong>Parkinson's Disease (PD) diagnosis lacks effective non-invasive markers, complicating early detection and timely intervention. Machine learning (ML) combined with clinical blood biomarkers may provide a feasible approach for early diagnosis and monitoring.</p><p><strong>Aim: </strong>This study aims to construct and validate a non-invasive diagnostic model for PD using machine learning and routine clinical blood biomarkers, and identify key biomarkers linked to disease severity.</p><p><strong>Methods: </strong>A total of 920 participants (428 PD and 492 non-PD) from two medical centers were included as training and validation sets. Biomarker selection was performed via least absolute shrinkage and selection operator (LASSO) and stepwise regression. Five machine learning models-logistic regression (LR), support vector machine (SVM), decision tree (DT), Naive Bayes (NB) and K-Nearest Neighbor (KNN)-were constructed and compared. The optimal model was interpreted using Shapley values (SHAP), and correlation with PD severity (Hoehn-Yahr stage) was assessed.</p><p><strong>Results: </strong>The SVM model demonstrated the best external validation performance (AUC = 0.916, recall = 0.949, F1-score = 0.843). SHAP analysis revealed superoxide dismutase (SOD) contributed the most to the model prediction, followed by gender and uric acid (UA). Furthermore, albumin (ALB) and SOD showed significant negative correlations with PD severity.</p><p><strong>Conclusion: </strong>The SVM-based diagnostic model effectively differentiates PD from controls using readily obtainable clinical biomarkers, offering promising clinical utility for PD screening, diagnosis, and progression monitoring.</p>","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145232992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hafiz Muhammad Husnain Azam, Mehvish Mumtaz, Stefan Rödiger, Peter Schierack, Nazim Hussain, Ambreen Aisha
{"title":"MicroRNAs in neurodegenerative diseases: from molecular mechanisms to clinical biomarkers, detection methods and therapeutic strategies-advances and challenges.","authors":"Hafiz Muhammad Husnain Azam, Mehvish Mumtaz, Stefan Rödiger, Peter Schierack, Nazim Hussain, Ambreen Aisha","doi":"10.1007/s10072-025-08419-w","DOIUrl":"https://doi.org/10.1007/s10072-025-08419-w","url":null,"abstract":"<p><p>Neurodegenerative diseases (NDDs) pose significant challenges in early detection and treatment due to their complex pathophysiology and heterogeneous clinical presentations. MicroRNAs (miRNAs), small noncoding RNAs that regulate gene expression, have emerged as promising diagnostic biomarkers and therapeutic targets in NDDs. Pathological examination of affected tissues reveals early synaptic dysfunction, protein misfolding, and neuroinflammation occur prior to overt clinical symptoms, highlighting the importance of sensitive diagnostics approaches in prodromal stages. This review summarizes for researchers on the role of miRNAs in NDDs by examining their diagnostic potential in biofluids such as blood and cerebrospinal fluid, and their therapeutic applicability through inhibition or replacement strategies. Literature from peer-reviewed databases was assessed with a focus on recent advances in molecular detection platforms, computational modeling of miRNA-mRNA interactions, and preclinical/clinical investigations.More than 2600 human miRNAs have been identified, collectively regulating over half of mammalian protein-coding genes. Quantitative methodologies, particularly reverse transcription quantitative PCR (RT-qPCR), enable reliable miRNA profiling, facilitating early diagnosis and prognosis of NDDs. Therapeutic strategies, including antagomirs, mimics, sponges and viral or non-viral delivery systems, show promise in modulating disease pathways. However, significant challenges remain, including variability in miRNA extraction and quantification protocols, off-target effects, delivery barriers across the blood brain barrier and limited reproducibility across studies. MiRNAs represent a class of molecular tools with potential to transform diagnostics and therapeutics in NDDs. Future research should prioritize methodological standardization, validation in large multicenter cohorts, and improved computational approaches to elucidate miRNA-mediated regulatory networks in NDDs. Replication studies and translational research are essential harnessing the the full clinical utility of miRNAs in the management of Alzheimer disease, Parkinson disease and other NDDs. Graphical Abstract.</p>","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145232938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Entire corpus callosum and diffuse white matter involvement in acute Marchiafava-Bignami disease.","authors":"Jieqiang Xia, Qing Lin, Xue Ke","doi":"10.1007/s10072-025-08560-6","DOIUrl":"https://doi.org/10.1007/s10072-025-08560-6","url":null,"abstract":"<p><p>Acute Marchiafava-Bignami disease (MBD) can extend beyond the corpus callosum to diffuse hemispheric white matter, portending poor outcomes. We report a 57-year-old man with long-standing alcohol abuse who developed weakness and coma. Magnetic resonance imaging (MRI) revealed hyperintense, swollen lesions throughout the corpus callosum and extracallosal white matter on T2-weighted imaging (T2WI)/fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted imaging(DWI), consistent with cytotoxic edema. Despite prompt high-dose thiamine and aggressive supportive care, he died within days. This case underscores the diagnostic value of DWI for early detection and prognostication in acute MBD, and highlights the importance of urgent brain MRI in comatose patients with a background of chronic alcohol abuse.</p>","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maurizio Morelli, Umberto Sabatini, Monica Gagliardi, Andrea Quattrone
{"title":"MRI evidence of cerebellar vermian hypoplasia in a patient with cervical dystonia.","authors":"Maurizio Morelli, Umberto Sabatini, Monica Gagliardi, Andrea Quattrone","doi":"10.1007/s10072-025-08569-x","DOIUrl":"https://doi.org/10.1007/s10072-025-08569-x","url":null,"abstract":"","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Elevated levels of cerebrospinal fluid CHIT1 correlate with disease activity in neuromyelitis optica spectrum disorder.","authors":"Hao Cai, Yingzhe Shao, Li-Min Li","doi":"10.1007/s10072-025-08488-x","DOIUrl":"https://doi.org/10.1007/s10072-025-08488-x","url":null,"abstract":"<p><strong>Background: </strong>Neuromyelitis optica spectrum disorder (NMOSD) is a severe autoimmune inflammatory disease of the central nervous system characterized by microglial activation and neuroinflammation. Chitotriosidase (CHIT1), a microglial activation biomarker, has been implicated in neurodegenerative and neuroinflammatory diseases, but its role in NMOSD remains unclear.</p><p><strong>Methods: </strong>Thirty-four patients with NMOSD, 30 healthy controls (HCs), and 30 patients with other noninflammatory neurological disorders (ONNDs) were included. Cerebrospinal fluid (CSF) and serum CHIT1 levels were measured via enzyme-linked immunosorbent assay. Comprehensive clinical parameters were collected from all participants. Statistical comparisons and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic performance of CHIT1 for NMOSD.</p><p><strong>Results: </strong>CSF CHIT1 levels were significantly higher in the NMOSD group than in the ONND group (p < 0.001). In contrast, serum CHIT1 levels did not differ significantly between NMOSD patients and either ONND or HC groups. Subgroup analysis revealed higher CSF CHIT1 concentrations in NMOSD patients with gadolinium-enhancing lesions than in those without such lesions (p = 0.035). ROC analysis demonstrated that CSF CHIT1 could distinguish NMOSD patients from patients with ONNDs, with an area under the curve of 0.730. Additionally, CSF CHIT1 levels correlated positively with the Expanded Disability Status Scale score (r = 0.457, p = 0.007).</p><p><strong>Conclusion: </strong>An elevated CSF CHIT1 level in NMOSD patients is significantly associated with greater disease severity, suggesting its potential as a diagnostic and prognostic biomarker. These findings highlight the role of CHIT1 in the pathogenesis of NMOSD and warrant further investigation into its clinical applicability.</p>","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ying Tang, Dan Liu, Sijia Li, Linqing Zhu, Yu Zhu, Nini Shi, Yunhang Wang, Ying Zhu, Tian Gao, Yuxia Ma
{"title":"Effects of transcranial alternating current stimulation on cognitive function in older adults: a systematic review and meta-analysis of randomized controlled trials.","authors":"Ying Tang, Dan Liu, Sijia Li, Linqing Zhu, Yu Zhu, Nini Shi, Yunhang Wang, Ying Zhu, Tian Gao, Yuxia Ma","doi":"10.1007/s10072-025-08519-7","DOIUrl":"https://doi.org/10.1007/s10072-025-08519-7","url":null,"abstract":"<p><strong>Objective: </strong>Non-invasive brain stimulation has been shown to benefit cognitive function in older adults. However, the effects of transcranial alternating current stimulation (tACS) on cognitive function in older adults have not been consistent across studies and there are limitations in the evidence for tACS. This study aims to investigate whether tACS improves cognitive function and different cognitive domains (e.g. learning memory and executive function) in older adults and older adults with Alzheimer's disease (AD).</p><p><strong>Methods: </strong>A systematic search was conducted in seven databases (PubMed, Web of Science, Embase, The Cochrane Library, Scopus, PsycINFO, and CINAHL) up to 25 December 2024. Effect sizes were expressed as standardized mean differences (SMD) with 95% confidence intervals, and a random-effects model was applied.</p><p><strong>Results: </strong>Fourteen randomized controlled trials (RCTs) were included, with a relatively low risk of bias. tACS had a significant effect on immediate memory (SMD = 0.66, p<0.01) and delayed memory (SMD = 0.68, p<0.01), but no significant effect on associative memory (SMD =-0.25, p = 0.61). Subgroup analyses revealed that tACS intervention significantly improved immediate and delayed memory in older adults with AD, but had no significant effect on healthy older adults.</p><p><strong>Conclusion: </strong>tACS intervention significantly improves immediate memory and delayed memory in older adults with AD. Further large-scale RCTs are needed to clarify the specific effects of tACS on various cognitive domains, and optimal stimulation parameters should be investigated to guide clinical practice.</p>","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sopiko Jimsheleishvili, Domini Crandon, Jason Margolesky
{"title":"Unmasking cerebellar disease: functional neurologic disorder as a precursor to spinocerebellar ataxia type 8.","authors":"Sopiko Jimsheleishvili, Domini Crandon, Jason Margolesky","doi":"10.1007/s10072-025-08553-5","DOIUrl":"https://doi.org/10.1007/s10072-025-08553-5","url":null,"abstract":"","PeriodicalId":19191,"journal":{"name":"Neurological Sciences","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}