BACKGROUND: Impairment of higher language functions associated with natural spontaneous speech in multiple sclerosis (MS) remains underexplored. OBJECTIVES: We presented a fully automated method for discriminating MS patients from healthy controls based on lexical and syntactic linguistic features. METHODS: We enrolled 120 MS individuals with Expanded Disability Status Scale ranging from 1 to 6.5 and 120 age-, sex-, and education-matched healthy controls. Linguistic analysis was performed with fully automated methods based on automatic speech recognition and natural language processing techniques using eight lexical and syntactic features acquired from the spontaneous discourse. Fully automated annotations were compared with human annotations. RESULTS: Compared with healthy controls, lexical impairment in MS consisted of an increase in content words (p = 0.037), a decrease in function words (p = 0.007), and overuse of verbs at the expense of noun (p = 0.047), while syntactic impairment manifested as shorter utterance length (p = 0.002), and low number of coordinate clause (p < 0.001). A fully automated language analysis approach enabled discrimination between MS and controls with an area under the curve of 0.70. A significant relationship was detected between shorter utterance length and lower symbol digit modalities test score (r = 0.25, p = 0.008). Strong associations between a majority of automatically and manually computed features were observed (r > 0.88, p < 0.001). CONCLUSION: Automated discourse analysis has the potential to provide an easy-to-implement and low-cost language-based biomarker of cognitive decline in MS for future clinical trials.

• Klíčová slova
• automated linguistic analysis, language, multiple sclerosis, nature language processing, spontaneous discourse,
• Publikační typ
• časopisecké články MeSH

Over two thirds of all individuals who develop multiple sclerosis (MS) will be women prior to the age of menopause. Further, an estimated 30% of the current MS population consists of peri- or postmenopausal women. The presence of MS does not appear to influence age of menopausal onset. In clinical practice, symptoms of MS and menopause can frequently overlap, including disturbances in cognition, mood, sleep, and bladder function, which can create challenges in ascertaining the likely cause of symptoms to be treated. A holistic and comprehensive approach to address these common physical and psychological changes is often suggested to patients during menopause. Although some studies have suggested that women with MS experience reduced relapse rates and increased disability progression post menopause, the data are not consistent enough for firm conclusions to be drawn. Mechanisms through which postmenopausal women with MS may experience disability progression include neuroinflammation and neurodegeneration from age-associated phenomena such as immunosenescence and inflammaging. Additional effects are likely to result from reduced levels of estrogen, which affects MS disease course. Following early retrospective studies of women with MS receiving steroid hormones, more recent interventional trials of exogenous hormone use, albeit as oral contraceptive, have provided some indications of potential benefit on MS outcomes. This review summarizes current research on the effects of menopause in women with MS, including the psychological impact and symptoms of menopause on disease worsening, and the treatment options. Finally, we highlight the need for more inclusion of MS patients from underrepresented racial and geographic groups in clinical trials, including among menopausal women.

• Klíčová slova
• best practices, cognition, fatigue, hormone therapy, menopause, multiple sclerosis,
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Introduction: Recent studies of patients with multiple sclerosis (MS) have revealed disturbances in distinct components of social cognition, such as impaired mentalizing and empathy. The present study investigated this socio-cognitive profile in MS patients in more detail, by examining their performance on tasks measuring more fundamental components of social cognition and any associated disruptions to gray-matter volume (GMV). Methods: We compared 43 patients with relapse-remitting MS with 43 age- and sex-matched healthy controls (HCs) on clinical characteristics (depression, fatigue), cognitive processing speed, and three aspects of low-level social cognition; specifically, imitative tendencies, visual perspective taking, and emotion recognition. Using voxel-based morphometry, we then explored relationships between GMV and these clinical and behavioral measures. Results: Patients exhibited significantly slower processing speed, poorer perspective taking, and less imitation compared with HCs. These impairments were related to reduced GMV throughout the putamen, thalami, and anterior insula, predominantly in the left hemisphere. Surprisingly, differences between the groups in emotion recognition were not significant. Conclusion: Less imitation and poorer perspective taking indicate a cognitive self-bias when faced with conflicting self- and other-representations. This suggests that impaired self-other distinction, and an associated subcortical pattern of GM atrophy, might underlie the socio-cognitive disturbances observed in MS.

• Klíčová slova
• automatic imitation, gray-matter volume, multiple sclerosis, self-other distinction, social cognition, visual perspective taking, voxel-based morphometry,
• Publikační typ
• časopisecké články MeSH

Patients with clinically isolated syndrome (CIS), unlike those with multiple sclerosis (MS), have a selective cognitive impairment which is not consistently related to structural brain changes. Our objective was to characterize a profile of cognitive impairment and its association with structural brain changes in patients with CIS who are at high risk of developing MS. Patients with CIS at high risk for MS on interferon-beta (n = 51) and age-, gender-, and education-matched controls (n = 44) underwent comprehensive neuropsychological testing and MRI brain scan with voxel-based morphometry. The CIS group had lower cognitive performance in verbal and nonverbal memory, information processing speed/attention/working memory, and executive and visuo-spatial functions compared to controls (p ≤ 0.040). Lower cognitive performance was present in 18-37 and 14-26% of patients with CIS at high risk for MS depending on the criteria used. Brain volume was reduced predominantly in fronto-temporal regions and the thalamus in the CIS group (p ≤ 0.019). Cognitive performance was not associated with structural brain changes except for the association between worse visuo-spatial performance and lower white matter volume in the CIS group (β = 0.29; p = 0.042). Our results indicated that patients with CIS at high risk for MS may have a pattern of lower cognitive performance and regional brain atrophy similar to that found in patients with MS. Lower cognitive performance may be present in up to one-third of patients with CIS at high risk for MS, but, unlike patients with MS, variability in their cognitive performance may lead to a lack of consistent associations with structural brain changes.

• Klíčová slova
• Clinically isolated syndrome, Cognition, MRI, Multiple sclerosis, Neuropsychology, Voxel-based morphometry,
• MeSH
• atrofie MeSH
• demyelinizační nemoci komplikace   diagnostické zobrazování   psychologie   MeSH
• dospělí MeSH
• kognitivní dysfunkce diagnostické zobrazování   etiologie   MeSH
• lidé MeSH
• magnetická rezonanční tomografie MeSH
• mozek diagnostické zobrazování   MeSH
• neuropsychologické testy MeSH
• počítačové zpracování obrazu MeSH
• posuzování pracovní neschopnosti MeSH
• prognóza MeSH
• progrese nemoci MeSH
• rizikové faktory MeSH
• velikost orgánu MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

Traditionally, multiple sclerosis has been viewed as a disease predominantly affecting white matter. However, this view has lately been subject to numerous changes, as new evidence of anatomical and histological changes as well as of molecular targets within the grey matter has arisen. This advance was driven mainly by novel imaging techniques, however, these have not yet been implemented in routine clinical practice. The changes in the grey matter are related to physical and cognitive disability seen in individuals with multiple sclerosis. Furthermore, damage to several grey matter structures can be associated with impairment of specific functions. Therefore, we conclude that grey matter damage - global and regional - has the potential to become a marker of disease activity, complementary to the currently used magnetic resonance markers (global brain atrophy and T2 hyperintense lesions). Furthermore, it may improve the prediction of the future disease course and response to therapy in individual patients and may also become a reliable additional surrogate marker of treatment effect.

• MeSH
• atrofie MeSH
• kognitivní poruchy * patologie   patofyziologie   MeSH
• lidé MeSH
• mozek * patologie   patofyziologie   MeSH
• mozková kůra patologie   patofyziologie   MeSH
• progrese nemoci MeSH
• roztroušená skleróza * patologie   patofyziologie   MeSH
• zánět * patologie   patofyziologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH