Comparing face-to-face and videoconference assessment of the Brief Repeatable Battery of Neuropsychological Tests in people with multiple sclerosis

Raimo, Simona; Santangelo, Gabriella; Cropano, Maria; Gaita, Mariachiara; Ammendola, Lidia; Malangone, Daniela; Lus, Giacomo; Signoriello, Elisabetta

doi:10.1177/13524585231192469

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…To better describe patterns of cognitive performance, we included separate domains for verbal memory and visual memory and included a processing speed domain. Tests performed were Wechsler Adult Intelligence Scale‐Fourth Edition (WAIS‐IV) Digit Span and Letter‐Number Sequencing 53 ; Hopkins Verbal Learning Test‐Revised (HVLT‐R) 54 ; 10/36 Spatial Recall Test 55 ; Judgment of Line Orientation (JLO) 56 ; Hooper Visual Organization Test 57 ; Boston Naming Test (BNT) 58 ; Animal Naming 59 ; Delis‐Kaplan Executive Function System (DKEFS) Color/Word Interference 60 ; and Trail Making Test (TMT) 61 . Normally distributed z‐scores for each domain were calculated using the best available normative mean and standard deviation (SD).…”

Section: Methodsmentioning

confidence: 99%

Brain and Systemic Inflammation in De Novo Parkinson's Disease

et al. 2023

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A BS TRACT: Objective: To assess the presence of brain and systemic inflammation in subjects newly diagnosed with Parkinson's disease (PD). Background: Evidence for a pathophysiologic role of inflammation in PD is growing. However, several key gaps remain as to the role of inflammation in PD, including the extent of immune activation at early stages, potential effects of PD treatments on inflammation and whether proinflammatory signals are associated with clinical features and/or predict more rapid progression. Methods: We enrolled subjects with de novo PD (n = 58) and age-matched controls (n = 62). Subjects underwent clinical assessments, including the Movement Disorder Society-United Parkinson's Disease rating scale (MDS-UPDRS). Comprehensive cognitive assessment meeting MDS Level II criteria for mild cognitive impairment testing was performed. Blood was obtained for flow cytometry and cytokine/chemokine analyses. Subjects underwent imaging with 18 F-DPA-714, a translocator protein 18kd ligand, and lumbar puncture if eligible and consented.Results: Baseline demographics and medical history were comparable between groups. PD subjects showed significant differences in University of Pennsylvania Smell Identification Test, Schwab and England Activities of Daily Living, Scales for Outcomes in PD autonomic dysfunction, and MDS-UPDRS scores. Cognitive testing demonstrated significant differences in cognitive composite, executive function, and visuospatial domain scores at baseline. Positron emission tomography imaging showed increased 18 F-DPA-714 signal in PD subjects. 18 F-DPA-714 signal correlated with several cognitive measures and some chemokines. Conclusions: 18 F-DPA-714 imaging demonstrated increased central inflammation in de novo PD subjects compared to controls. Longitudinal follow-up will be important to determine whether the presence of inflammation predicts cognitive decline.

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Section: Methodsmentioning

confidence: 99%

Brain and Systemic Inflammation in De Novo Parkinson's Disease

et al. 2023

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“…28 The neuropsychological assessment included the symbol digit modalities test (SDMT) 29 (PASAT-3). 30 The SDMT assesses rapid information processing, working memory, and visual scanning, while the PASAT-3 represents multifactorial analysis that assesses auditory information processing speed and flexibility, cognitive processing speed, sustained and also divided attention and working memory functions, and calculation ability. 31,32 The Beck Depression Inventory-Second Edition (BDI-II) was used for the assessment of depressive symptoms 33 and Fatigue Severity Scale (FSS) for the evaluation of the impact of fatigue.…”

Section: Study Design and Participantsmentioning

confidence: 99%

Lexical and syntactic deficits analyzed via automated natural language processing: the new monitoring tool in multiple sclerosis

Šubert

Novotný

Tykalová

et al. 2023

Ther Adv Neurol Disord

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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.

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