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A clinical scale fully dedicated to evaluating ocular motor abnormalities is required for now. We investigated the utility of a recently developed Scale for Ocular motor Disorders in Ataxia (SODA) in patients with multiple system atrophy (MSA). We prospectively assessed SODA in consecutive patients with MSA between August 2021 and August 2023 at the Korea University Medical Center. The results of the clinical exam-based SODA were compared with those measured using video-oculography (VOG-guided SODA). We also compared the findings with other established clinical scales targeting patients with MSA, including the Unified Multiple System Atrophy Rating Scale (UMSARS) I-II, Movement Disorder Society-Unified Parkinson's Disease Rating Scale motor part (UPDRS-III), Scale for Assessment of Rating of Ataxia (SARA), Composite Autonomic Symptom Score-31 (COMPASS-31), and Composite Autonomic Severity Score (CASS). Twenty patients were enrolled in our study (17 with cerebellar-type MSA and three with Parkinson-type MSA). Scores ranged from 1 to 14 (median [interquartile range (IQR)] = 8 [5−10]). Among the subscales, saccades had a median score of 2.5 (IQR = 1–3), followed by ocular pursuit (1 [0–1]), nystagmus (1 [0–2]), saccadic intrusions (1 [0–1]), vestibulo-ocular reflex (VOR) (0.5 [0–1]), ocular alignment (0 [0–1]), and VOR cancellation (1 [0–1]). The clinical-exam-based SODA (p = 0.020) and VOG-guided SODA (p = 0.034) positively correlated with disease duration. No correlation was found between clinical exam-based SODA and other scales. Skew deviation, gaze-evoked nystagmus, VOR cancellation, and smooth pursuit had the highest precision among the items. Ocular misalignment and spontaneous and positional nystagmus were frequently false positive and were poorly detected with clinical exam-based SODA. Six patients with repeated evaluation exhibited higher scores, along with deterioration documented on other clinical scales. The SODA can reliably predict neurodegeneration as an additional clinical surrogate in MSA. [ABSTRACT FROM AUTHOR]

Background: Although idiopathic Parkinson's disease (IPD) is increasing with the aging population, there is no adequate screening test for early diagnosis of IPD. Cardiac autonomic dysfunction begins in the early stages of IPD, and an electrocardiogram (ECG) contains precise information on the heart. Objective: This study is to develop an ECG deep learning algorithm that can efficiently screen for IPD. Methods: Data were collected from 751 IPD patients (2,138 ECGs), 751 age and sex-matched non-IPD patients (2,673 ECGs) as a control group, and 297 drug-induced Parkinsonism (DPD) patients (875 ECGs) as a disease control group. ECG data were randomly divided into training set, validation set, and test set at a ratio of 6:2:2. We developed a deep-convolutional neural network (CNN) consisting of 16 layers with Bayesian optimization that classified IPD patients by ECG data. The robustness of the deep learning model was verified through 5-fold cross-validation. Results: The AUROC of the model for detection of IPD was 0.924 (95% CI, 0.913–0.936) in the test set. That for detecting DPD was 0.473 (95% CI, 0.453–0.504). The sensitivities of the model according to Unified Parkinson's Disease Rating Scale III and Hoehn & Yahr scale were also similar. Conclusion: In conclusion, the CNN-based deep learning model using ECG data showed quite good performance in identifying IPD patients. Standardized 12-lead ECG test could be one of the clinically feasible candidate methods for early screening of IPD in the future. [ABSTRACT FROM AUTHOR]

Background: Recently, several studies suggested potential involvements of α-synuclein in Alzheimer's disease (AD) pathophysiology. Higher concentrations of α-synuclein were reported in cerebrospinal fluid (CSF) of AD patients with a positive correlation towards CSF tau, indicating its possible role in AD. We analyzed the CSF biomarkers to verify whether α-synuclein could be an additional supported biomarker in AD diagnosis. Methods: In this cross-sectional study, CSF samples of 71 early-onset AD, 34 late-onset AD, 11 mild cognitive impairment, 17 subjective cognitive decline, 45 Parkinson's disease, and 32 healthy control (HC) were collected. CSF amyloid-β1-42 (A), total tau (N), and phosphorylated tau181 (T) were measured by commercial ELISA kits, and in-house ELISA kit was developed to quantify α-synuclein. The cognitive assessments and amyloid-PET imaging were also performed. Results: CSF α-synuclein manifested a tendency to increase in AD and to decreased in Parkinson's disease compared to HC. The equilibrium states of total tau and α-synuclein concentrations were changed significantly in AD, and the ratio of total tau/α-synuclein (N/αS) was dramatically increased in AD than HC. Remarkably, N/αS revealed a strong positive correlation with tau phosphorylation rate. Also, the combination of N/αS with amyloid-β1-42/phosphorylated tau181 ratio had the best diagnosis performance (AUC = 0.956, sensitivity = 96%, specificity = 87%). In concordance analysis, N/αS showed the higher diagnostic agreement with amyloid-β1-42 and amyloid-PET. Analysis of biomarker profiling with N/αS had distinctive characteristics and clustering of each group. Especially, among the group of suspected non-Alzheimer's disease pathophysiology, all A−T+N+ patients with N/αS+ were reintegrated into AD. Conclusions: The high correlation of α-synuclein with tau and the elevated N/αS in AD supported the involvement of α-synuclein in AD pathophysiology. Importantly, N/αS improved the diagnostic performance, confirming the needs of incorporating α-synuclein as a biomarker for neurodegenerative disorders. The incorporation of a biomarker group [N/αS] could contribute to provide better understanding and diagnosis of neurodegenerative disorders. [ABSTRACT FROM AUTHOR]

Abstract: Background: Atypical Parkinsonism is less common and has more severe symptoms than Parkinson''s disease (PD). Little is known about the non-motor symptom (NMS) characteristics of multiple systemic atrophy (MSA) or progressive supranuclear palsy (PSP). We report the interrelationship of NMS in MSA, PSP, and PD. Methods: We studied 117 cases of PD and 57 of Atypical Parkinsonism. Out of the 57 patients, 31 had multiple systemic atrophy parkinsonian subtype (MSA-P), 14 had multiple systemic atrophy cerebellar dysfunction subtype (MSA-C), and 12 had PSP. We assessed the condition of the patients using the United Parkinson''s Disease Rating Scale part III (UPDRS-III), the modified Hoehn & Yahr scale (H&Y), the non-motor symptom scale (NMSS), and the Parkinson''s Disease Questionnaire (PDQ-39). Results: In Atypical Parkinsonism, the NMSS scores significantly correlated with PDQ-39 scores, but not with UPDRS-III. In the MSA-P group, the mood/cognitive domain significantly correlated with both the urinary and sleep/fatigue domains. In the MSA-C group, the sleep/fatigue domain correlated with the mood/cognition and cardiovascular domains. Finally, in the PSP and PD groups, the attention/memory domain significantly correlated with the sleep/fatigue and mood/cognition domains. Discussion: These results suggest that, with respect to cognitive function, dysautonomia and sleep/fatigue are detrimental factors in MSA and PSP, respectively. [Copyright &y& Elsevier]

• Falls were not associated with cVEMP or oVEMP abnormalities. • Falls were associated with higher MDS-UPDRS-III scores. • cVEMP and oVEMP amplitudes were not associated with disease duration or disease severity. [ABSTRACT FROM AUTHOR]

Postural instability is a cardinal symptom of Parkinson's disease (PD), which suggests the vestibular system may be affected in PD. This study aimed to determine whether vestibular dysfunction is associated with the risk of falls in PD. We prospectively recruited patients with de-novo PD at a tertiary medical center between December 2019 and March 2023. During initial assessment, each patient was queried about falls within the preceding year. All patients underwent evaluation of video head-impulse tests (video-HITs), motion analysis, mini-mental state examination (MMSE), and Montreal Cognitive Assessment (MOCA). We determined whether head impulse gain of the vestibulo-ocular reflex (VOR) was associated with clinical severity of PD or risk of falls. Overall, 133 patients (mean age ± SD = 68 ± 10, 59 men) were recruited. The median Movement Disorder Society-Unified Parkinson's Disease Rating Scale motor part (MDS-UPDRS-III) was 23 (interquartile range = 16–31), and 81 patients (61 %) scored 2 or less on the Hoehn and Yahr scale. Fallers were older (p = 0.001), had longer disease duration (p = 0.001), slower gait velocity (p = 0.009), higher MDS-UPDRS-III (p < 0.001) and H&Y scale (p < 0.001), lower MMSE (p = 0.018) and MOCA scores (p = 0.001) than non-fallers. Multiple logistic regression showed that MDS-UPDRS-III had a positive association with falling (p = 0.004). Falling was not associated with VOR gain (p = 0.405). The VOR gain for each semicircular canal showed no correlation with the MDS-UPDRS-III or disease duration. The semicircular canal function, as determined by video-HITs, is relatively spared and has little effect on the risk of falls in patients with mild-to-moderate PD. • Falling is a major risk for immobilization and consequent poor quality of life in patients with Parkinson's disease (PD). • The canal function is relatively preserved and has little effect on the risk of falls in patients with mild-to-moderate PD. • The vestibulo-ocular reflex gain showed no correlation with the MDS-UPDRS-III or disease duration. [ABSTRACT FROM AUTHOR]