Abstract

Background: ChatGPT is an open-source natural language processing software that replies to users' queries. We conducted a cross-sectional study to assess people living with Multiple Sclerosis' (PwMS) preferences, satisfaction, and empathy toward two alternate responses to four frequently-asked questions, one authored by a group of neurologists, the other by ChatGPT.

Methods: An online form was sent through digital communication platforms. PwMS were blind to the author of each response and were asked to express their preference for each alternate response to the four questions. The overall satisfaction was assessed using a Likert scale (1-5); the Consultation and Relational Empathy scale was employed to assess perceived empathy.

Results: We included 1133 PwMS (age, 45.26 ± 11.50 years; females, 68.49%). ChatGPT's responses showed significantly higher empathy scores (Coeff = 1.38; 95% CI = 0.65, 2.11; p > z < 0.01), when compared with neurologists' responses. No association was found between ChatGPT' responses and mean satisfaction (Coeff = 0.03; 95% CI = - 0.01, 0.07; p = 0.157). College graduate, when compared with high school education responder, had significantly lower likelihood to prefer ChatGPT response (IRR = 0.87; 95% CI = 0.79, 0.95; p < 0.01).

Conclusions: ChatGPT-authored responses provided higher empathy than neurologists. Although AI holds potential, physicians should prepare to interact with increasingly digitized patients and guide them on responsible AI use. Future development should consider tailoring AIs' responses to individual characteristics. Within the progressive digitalization of the population, ChatGPT could emerge as a helpful support in healthcare management rather than an alternative.

Keywords: Artificial intelligence; Large language model; Machine learning; Multiple sclerosis.

Abstract

Objective: Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for clinical responses to dimethyl fumarate (DMF), a widely used oral treatment for MS.

Methods: Peripheral blood samples were collected from nineteen treatment-naïve people with relapsing-remitting MS (pwRRMS) before and after 3, 6, 12, and 24 months of DMF administration, as well as from nineteen healthy individuals. MiRNAs were quantified by RT-qPCR after plasma RNA extraction, and peripheral blood immune cells were analyzed by flow cytometry. Pathway enrichment and protein-protein interaction analyses were performed to identify the biological processes and molecular networks associated with mRNAs targeted by the specific DMF-modulated miRNAs.

Results: We identified a DMF-modulated miRNA signature with significant changes occurring at early treatment stages. Notably, specific miRNAs were correlated with both clinical and immunological outcomes upon DMF treatment, including lymphocyte count reduction (let-7b-5p and miR-223-3p) and disease progression over 2 years (miR-223-3p, miR-23a-3p, miR-23b-3p, miR-27a-3p, and miR-27b-3p), suggesting their potential as predictive biomarkers for treatment response. Moreover, the validated mRNA targets of DMF-modulated miRNAs were enriched for IL-6 signaling and NRF2-dependent antioxidant pathways, highlighting the potential molecular mechanisms underpinning DMF efficacy.

Interpretation: This small exploratory study underscores the potential of plasma circulating miRNAs as candidate biomarkers for predicting therapeutic outcomes in MS and it calls for validation in larger studies, which may enhance our understanding of disease pathophysiology and offer a promising tool for personalized treatment strategies.

Keywords: circulating microRNA; dimethyl fumarate (DMF); multiple sclerosis.

Abstract

Cognitive reserve (CR) is a construct that originates from the observation of poor correspondence between brain damage and clinical symptoms. The aim of the study was to investigate the association between cognitive reserve (CR), brain reserve (BR) and cognitive functions and to evaluate whether CR might attenuate/moderate the negative impact of brain atrophy and lesion load on cognitive functions in multiple sclerosis (MS). To achieve these aims, ninety-eight relapsing-remitting MS patients underwent the brief repeatable battery of neuropsychological tests and Stroop test (ST). CR was assessed by vocabulary-based estimate of lifetime intellectual enrichment. All patients underwent a 3T MRI to assess T2-lesion load and atrophy measures, including normalized gray matter and white matter (nWMV) volumes. The BR was evaluated by maximal lifetime brain volume expressed by intracranial volume (ICV). Hierarchical regressions were used to investigate whether higher BR and/or CR is related to better cognitive performances after controlling for potentially confounding factors. The ICV was not associated with any cognitive tests. Intellectual enrichment was positively associated with performance on tests assessing memory, attention and information processing speed, verbal fluency and inhibitory control. Significant relationship between nWMV and ST was moderated by intellectual enrichment. In conclusion, the findings suggested that CR seems to mitigate cognitive dysfunction in MS patients and can reduce the negative impact of brain atrophy on inhibitory control, relevant for integrity of instrumental activities of daily living.

Keywords: Brain reserve; Cognitive deficits; Cognitive impairment; Cognitive reserve; Multiple sclerosis.

Abstract

Fatigue is a common and disabling nonmotor manifestation in patients with Parkinson's disease (PD), and the supplementary motor area (SMA) has been implicated in its pathophysiology. SMA is usually divided in its rostro-caudal axis, with the rostral (pre-) SMA playing a major role in motor planning, and the caudal (proper) SMA related to movement execution. To investigate brain functional connectivity of SMA subregions in de novo, drug-naïve PD patients affected by fatigue, 17 patients with fatigue, 18 without fatigue, and 16 matched healthy controls were recruited. All the participants were not depressed and did not suffer from daytime sleepiness. Parkinson Fatigue Scale (PFS) was used for fatigue screening (cut-off > 3.3 points) and severity rating. Seed-based resting-state functional MRI was used to compare the functional connectivity from bilateral SMA subregions to the whole brain. Voxel-based morphometry analysis was employed to test whether functional connectivity results were related to brain structural differences. PD-related fatigue was associated with an increased connectivity between the left pre-SMA and the left postcentral gyrus as well as a decreased connectivity between the left SMA proper and the left middle frontal gyrus (ps < 0.01). These patterns of functional connectivity were tightly correlated with PFS scores (Pearson's rs < 0.01). No structural brain changes were observed. In early PD, altered functional connectivity of both SMA subregions might play a crucial role in fatigue pathophysiology. These results offer new insights into the mechanisms responsible for fatigue in PD, suggesting possible targets for neuromodulation strategies oriented to modulate the SMA activity.

Keywords: De novo; Fatigue; Nonmotor symptoms; Parkinson; Supplementary motor area.

Abstract

Introduction: Previous studies on Parkinson's disease (PD) have shown that memory complaints and fatigue co-occur since premotor stages of disease, but whether Subjective Memory Decline (SMD, defined as memory complaints with normal objective cognitive performance) and fatigue were associated in PD has not been explored yet.

Methods: One-hundred PD patients underwent measures of memory complaints (Multifactorial Memory Questionnaire, MMQ), neuropsychological test (Parkinson's Disease-Cognitive Rating Scale), and assessment of behavioural symptoms. Fatigue was diagnosed according to current diagnostic criteria. Mann-Whitney test or Pearson chi-square test were used to compare fatigued and nonfatigued patients for prevalence of SMD and for demographic, clinical, and behavioural features, memory complaint, and objective cognitive measures. The confounding effect of sample's features on results was controlled by logistic regression and Quade's rank analysis.

Results: Twenty-three patients were diagnosed as fatigued whereas 15 patients met SMD criteria. Fatigued patients showed higher levodopa equivalent daily dose and more marked behavioural symptoms than nonfatigued patients (ps< 0.01). The prevalence of SMD was higher in fatigued patients than in those nonfatigued (35% vs 9%, p < 0.01). After controlling for confounds, the patients with fatigue had an odds ratio for SMD 5.97 [CI 95%, 1.18-30.03] times higher and presented significantly lower scores on Contentment subscales of MMQ (p < 0.01) than those without fatigue.

Conclusion: Fatigue in PD is associated with SMD mainly characterized by less contentment with one's own memory ability. These findings suggest possible shared pathogenic mechanisms underlying these two nonmotor manifestations and foster to identify potential phenotypes of patients requiring multistrategic therapeutic approaches.

Keywords: Fatigue; Memory; Parkinson's disease; Subjective cognitive decline; Subjective memory complaints.

Abstract

Introduction Prospective memory is the ability to carry out a delayed intended action, so to maintain and retrieve future plans, goals and activities. Deficits of prospective memory negatively impact on patients and caregivers' everyday living and determine poor adherence to treatment. Since frontal regions are involved in both event- and time-based prospective memory tasks and are impaired in migraine without aura, defects of prospective memory might occur in migraine without aura patients; until now this issue has not been investigated. The aim of the current study was to explore time- versus event-based prospective memory in migraine without aura. Patients and methods Ninty-one consecutive migraine without aura patients and 84 healthy subjects were enrolled in the study. They underwent a standardized measure of prospective memory evaluating both time-based and event-based prospective memory, and the Montreal Cognitive Assessment assessing global cognitive status. Moreover, all participants completed the Beck Depression Inventory-II and a self-administered version of the Apathy Evaluation Scale, to assess severity of depressive symptoms and apathy, respectively. Results Migraine without aura and healthy subjects did not differ on demographic aspects (i.e. age, education and gender). However, individuals with migraine without aura demonstrated impaired prospective memory performance compared to healthy subjects, with a greater impairment demonstrated for the time-based tasks. Within the migraine without aura group, no significant association was found between prospective memory performance and clinical scores, apathy, and depression. Conclusions Individuals with migraine without aura experience particular difficulty executing a future intention; therefore, migraine without aura is associated with dysfunction of prospective memory.

Keywords: Migraine; apathy; cognitive deficit; cognitive dysfunction; depression; prospective memory.

Abstract

Background and purpose: Although disabling fatigue is common in Parkinson disease (PD), available consensus-based diagnostic criteria have not yet been empirically validated. The aim of this study was to evaluate the clinimetric properties of the criteria.

Methods: A sample of outpatients with PD was evaluated for demographic, clinical, behavioral, and cognitive features. Fatigue was diagnosed according to the new diagnostic criteria and was rated by means of the Parkinson Fatigue Scale (PFS) and Fatigue Severity Scale (FSS). Acceptability, concurrent and discriminant validity, and interrater reliability were evaluated with binary logistic regression analyses and Cohen kappa (κ).

Results: Of 241 included patients, 17 (7.1%) met the diagnostic criteria for PD-related fatigue. Eight of nine symptoms described in Section A of the diagnostic criteria occurred in &gt;50% of patients with fatigue. Acceptability (missing data = 0.8%) of the criteria was good, as was their concurrent validity with the PFS (odds ratio = 3.65) and FSS (odds ratio = 3.63). The discriminant validity of fatigue criteria with other PD-related behavioral and cognitive features was good (odds ratio &lt; 1.68). The interrater reliability was excellent (κ = 0.92).

Conclusions: This is the first study to test the clinimetric properties of case definition diagnostic criteria for PD-related fatigue. Our results suggest that current diagnostic criteria may be useful in both clinical practice and research. Future longitudinal studies should examine their long-term stability.

Keywords: Parkinson disease; fatigability; fatigue; nonmotor symptoms; validation.