Movement Disorders Center Research Articles

Plasma acellular transcriptome contains Parkinson's disease signatures that can inform clinical diagnosis.

We aimed to identify plasma cell-free transcripts (cfRNA) associated with Parkinson's disease (PD) that also have a high predictive value to differentiate PD from healthy controls. Leveraging two independent populations from two different movement disorder centers we identified 2,188 differentially expressed cfRNAs after meta-analysis. The identified transcripts were enriched in PD relevant pathways, such as PD (p=9.26×10 -4 ), ubiquitin-mediated proteolysis (p=7.41×10 -5 ) and endocytosis (p=4.21×10 -6 ). Utilizing in-house and publicly available brain, whole blood, and acellular plasma transcriptomic and proteomic PD datasets, we found significant overlap across dysregulated biological species in the different tissues and the different biological layers. We developed three predictive models containing increasing number of transcripts that can distinguish PD from healthy control with an area under the ROC Curve (AUC) ≥0.85. Finally, we showed that several of the predictive transcripts significantly correlate with symptom severity measured by UPDRS-III. Overall, we have demonstrated that cfRNA contains pathological signatures and has the potential to be utilized as biomarker to aid in PD diagnostics and monitoring.

Neuropsychological Determinants of Impairment in Activities of Daily Living in Patients With Lewy Body Dementia.

Background Understanding the specific cognitive domains associated with activities of daily living (ADLs) impairment in Lewy body dementia (LBD) may help identify which targeted therapeutic interventions to pursue in future research. This study aimed to investigate the neuropsychological determinants of impairment in ADLs in LBD patients. Methods We conducted a cross-sectional study of LBD patients referred for a clinical neuropsychological evaluation within the Parkinson's Disease and Movement Disorders Center at Virginia Commonwealth University. The presence or absence of impairment in eight ADLs and neuropsychological test performances were collected and analyzed. Cluster analysis and hierarchical analysis were used to define ADL impairment into mild, moderate, and severe ADL impairment groups. We then compared cognitive performance between the ADL groups. Results This study included 193 LBD patients. Compared to LBD patients with mild and moderate ADL impairment, those with severe ADL impairment had worse scores in global cognition as measured by the Dementia Rating Scale-2 (DRS-2) (p=0.002), speeded visuospatial processing as measured by the Trail Making Test A (p=0.001), speeded executive functioning as measured by the Trail Making Test B (p=0.006), and psychomotor processing speed (p<0.001). Impairments in driving and self-care were associated with worse performances on Trail Making Test A, Trail Making Test B, and psychomotor processing speed (all p<0.05). Conclusions In patients with LBD, impaired speeded tasks of visual processing and executive functioning are associated with impaired ADLs, particularly driving and self-care. In order to improve ADLs in LBD, future studies should focus on identifying therapies that improve processing speed performance.

Gender disparity in access to advanced therapies for patients with Parkinson's disease: a retrospective real-word study.

Gender differences in the access to advanced therapies for Parkinson's disease (PD) are poorly investigated. The objective of this study was to investigate the presence of any gender disparity in the access to advanced therapies for PD. Retrospective study. Data from patients with consistent access to the Parkinson's and Movement Disorder Center of L'Aquila over the last 10-year period were screened. Patients selected for advanced therapies were included. Out of 1,252 patients, 200 (mean age ± SD 71.02 ± 9.70; 72% males; median Hoen Yahr level: 3, minimum 1 maximum 5) were selected for advanced therapies: 133 for Magnetic Resonance guided Focused Ultrasound (MRgFUS) thalamotomy (mean age ± SD 70.0 ± 8.9; 77% males), 49 for Levodopa/Carbidopa Intestinal Gel (LCIG) infusion (mean age ± SD 74.3 ± 11.4; 59% males), 12 for Deep Brain Stimulation (DBS) (mean age ± SD 71.2 ± 6.3; 75% males), and 7 for Continuous Subcutaneous Apomorphine Infusion (CSAI) (mean age ± SD 69.7 ± 5.5; 43% males). No sex differences were found in relation to age (MRgFUS group: males vs. females 70.2 ± 8.9 vs. 70.8 ± 8.9, p-value = 0.809; LCIG group: males vs. females 73.5 ± 13.0 vs. 75.5 ± 8.5, p-value = 0.557; DBS group: males vs. females 77.2 ± 8.1 vs. 67.3 ± 8.6, p-value = 0.843; CSAI group: males vs. females 73.3 ± 4.0 vs. 67.0 ± 5.2, p-value = 0.144) and disease duration (MRgFUS group: males vs. females 8.3 ± 4.4 vs. 9.6 ± 6.7, p-value = 0.419; LCIG group: males vs. females 14.5 ± 5.81 vs. 17.3 ± 5.5; p-value = 0.205; DBS group: males vs. females 15.0 ± 9.6 vs. 15.5 ± 7.7, p-value = 0.796; CSAI group: males vs. females 11.7 ± 3.7 vs. 10.3 ± 3.7, p-value = 0.505). The predominance of males is higher than that expected based on the higher prevalence of PD in men. Women are less confident in selecting advanced therapies during the natural progression of their disease. Factors accounting for this discrepancy deserve further investigation.

Long-Term Dementia Risk in Parkinson Disease.

It is widely cited that dementia occurs in up to 80% of patients with Parkinson disease (PD), but studies reporting such high rates were published over two decades ago, had relatively small samples, and had other limitations. We aimed to determine long-term dementia risk in PD using data from two large, ongoing, prospective, observational studies. Participants from the Parkinson's Progression Markers Initiative (PPMI), a multisite international study, and a long-standing PD research cohort at the University of Pennsylvania (Penn), a single site study at a tertiary movement disorders center, were recruited. PPMI enrolled de novo, untreated PD participants and Penn a convenience cohort from a large clinical center. For PPMI, a cognitive battery is administered annually, and a site investigator makes a cognitive diagnosis. At Penn, a comprehensive cognitive battery is administered either annually or biennially, and a cognitive diagnosis is made by expert consensus. Interval-censored survival curves were fit for time from PD diagnosis to stable dementia diagnosis for each cohort, using cognitive diagnosis of dementia as the primary end point and Montreal Cognitive Assessment (MoCA) score <21 and Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part I cognition score ≥3 as secondary end points for PPMI. In addition, estimated dementia probability by PD disease duration was tabulated for each study and end point. For the PPMI cohort, 417 participants with PD (mean age 61.6 years, 65% male) were followed, with an estimated probability of dementia at year 10 disease duration of 9% (site investigator diagnosis), 15% (MoCA), or 12% (MDS-UPDRS Part I cognition). For the Penn cohort, 389 participants with PD (mean age 69.3 years, 67% male) were followed, with 184 participants (47% of cohort) eventually diagnosed with dementia. The interval-censored curve for the Penn cohort had a median time to dementia of 15 years (95% CI 13-15); the estimated probability of dementia was 27% at 10 years of disease duration, 50% at 15 years, and 74% at 20 years. Results from two large, prospective studies suggest that dementia in PD occurs less frequently, or later in the disease course, than previous research studies have reported.

Combined Physiotherapy and Cognitive Behavioral Therapy for Functional Movement Disorders

Functional movement disorders (FMDs) are frequent and disabling neurological disorders with a substantial socioeconomic impact. Few randomized studies have analyzed the effectiveness of combined physiotherapy and psychotherapy in patients' quality of life. To assess the efficacy of multidisciplinary treatment (physiotherapy plus cognitive behavioral therapy) in FMDs. This was a parallel, rater-blinded, single-center, randomized clinical trial. Recruitment took place from June 2022 to April 2023, and follow-up visits were performed at months 3 and 5, concluding in October 2023. Participants were recruited from a national referral center for movement disorders: the Movement Disorders Unit from the Hospital Universitario Virgen Rocio in Seville, Spain. Patients had to be 18 years or older with a confirmed FMD diagnosis and capable of giving consent to participate. Patients who did not meet eligibility criteria or refused to participate were excluded. Any uncontrolled psychiatric disorder was considered an exclusion criterion. Patients were randomly assigned, in a ratio of 1:1 to multidisciplinary treatment (physiotherapy plus cognitive behavioral therapy), or a control intervention (psychological support intervention). Primary outcomes: between-group differences in changes from baseline to month 3 and month 5 in patients' quality of life (EQ-5D-5L score: EQ Index and EQ visual analog scale [EQ VAS]; and 36-Item Short-Form Survey Physical Component Summary [SF-36 PCS] and SF-36 Mental Component Summary [MCS]). Linear mixed models were applied, controlling by baseline severity and applying Bonferroni correction. Of 70 patients screened with an FMD, 40 were enrolled (mean [SD] age, 43.5 [12.8] years; age range, 18-66 years; 32 female [80%]; mean [SD] age at FMD onset, 38.4 [12.1] years), and 38 completed all the follow-up visits and were included in the analysis for primary outcomes. Multidisciplinary treatment improved SF-36 PCS with a mean between-group difference at 3 months of 4.23 points (95% CI, -0.9 to 9.4 points; P = .11) and a significant mean between-group difference at 5 months of 5.62 points (95% CI, 2.3-8.9 points; P < .001), after multiple-comparisons adjustment. There were no significant differences in other quality-of-life outcomes such as SF-36 MCS (mean between-group difference at 3 and 5 months: 0.72 points; 95% CI, -5.5 to 7.0 points; P = .82 and 0.69 points; 95% CI, 2.3-8.9 points; P = .83, respectively), EQ VAS (9.34 points; 95% CI, -0.6 to 19.3 points; P = .07 and 13.7 points; 95% CI, -1.7 to 29.0 points; P = .09, respectively) and EQ Index (0.001 point; 95% CI, -0.1 to 0.1 point; P = .98 and 0.08 points; 95% CI, 0-0.2 points; P = .13, respectively). At months 3 and 5, 42% and 47% of patients, respectively, in the multidisciplinary group reported improved health using the EQ-5D system, compared with 26% and 16% of patients, respectively, in the control group. Results show that multidisciplinary treatment (physiotherapy plus cognitive behavioral therapy) effectively improves FMD symptoms and physical aspects of patients' quality of life. Further studies must be performed to evaluate the potential cost-effectiveness of this approach in FMD. ClinicalTrials.gov Identifier: NCT05634486.

Development of a Tremor Detection Algorithm for Use in an Academic Movement Disorders Center.

Tremor, defined as an "involuntary, rhythmic, oscillatory movement of a body part", is a key feature of many neurological conditions including Parkinson's disease and essential tremor. Clinical assessment continues to be performed by visual observation with quantification on clinical scales. Methodologies for objectively quantifying tremor are promising but remain non-standardized across centers. Our center performs full-body behavioral testing with 3D motion capture for clinical and research purposes in patients with Parkinson's disease, essential tremor, and other conditions. The objective of this study was to assess the ability of several candidate processing pipelines to identify the presence or absence of tremor in kinematic data from patients with confirmed movement disorders and compare them to expert ratings from movement disorders specialists. We curated a database of 2272 separate kinematic data recordings from our center, each of which was contemporaneously annotated as tremor present or absent by a movement physician. We compared the ability of six separate processing pipelines to recreate clinician ratings based on F1 score, in addition to accuracy, precision, and recall. The performance across algorithms was generally comparable. The average F1 score was 0.84±0.02 (mean ± SD; range 0.81-0.87). The second highest performing algorithm (cross-validated F1=0.87) was a hybrid that used engineered features adapted from an algorithm in longstanding clinical use with a modern Support Vector Machine classifier. Taken together, our results suggest the potential to update legacy clinical decision support systems to incorporate modern machine learning classifiers to create better-performing tools.

Using a mixed-reality headset to elicit and track clinically relevant movement in the clinic.

21st century neurology will require scalable and quantitative tools that can improve neurologic evaluations over telehealth and expand access to care. Commercially available mixed-reality headsets allow for simultaneous presentation of stimuli via holograms projected into the real world and objective and quantitative measurement of hand movement, eye movement, and phonation. We created 6 tasks designed to mimic standard neurologic assessments and administered them to a single participant via the Microsoft HoloLens 2 mixed-reality headset. The tasks assessed postural hand tremor, finger tapping, pronation and supination of hands, hand and eye tracking of a center-out task, hand and eye tracking of a random motion task, and vocal assessment. We show the utility of the HoloLens for commonly used neurological exams. First, we demonstrate that headset-derived holograms can project hand movements and objects in 3D space, providing a method to accurately and reproducibly present test stimuli to reduce test-test variability. Second, we found that participant hand movements closely matched holographic stimuli using a variety of metrics calculated on recorded movement data. Third, we showed that the HoloLens can record and playback exam tasks for visual inspection, sharing with other medical providers, and future analysis. Fourth, we showed that vocal recordings and analysis could be used to profile vocal characteristics over time. Together, this demonstrates the versatility of mixed reality headsets and possible applications for neurological assessment. Administering components of the neurologic exam via a self-contained and commercially available mixed-reality headset has numerous benefits including detailed kinematic quantification, reproducible stimuli presentation from test to test, and can be self-administered expanding access to neurological care and saving hospital time and money. This work was supported by grants from the National Institutes of Health (NIH) (F30AG063468) (E.L.), (F31NS113395) (D.J.C), and the Pilot Grant Award from the University of Colorado Movement Disorders Center (D.J.C).

A minimally Invasive Biomarker for Sensitive and Accurate Diagnosis of Parkinson's Disease.

ImportanceParkinson′s disease (PD), the second most common neurodegenerative disease, is pathologically characterized by intraneuronal deposition of misfolded alpha-synuclein aggregates (αSynD). αSynDseeding activities in CSF and skin samples have shown great promise in PD diagnosis, but they require invasive procedures. Sensitive and accurate αSynDseed amplification assay (αSyn-SAA) for more accessible and minimally invasive samples (such as blood and saliva) are urgently needed for PD pathological diagnosis in routine clinical practice.ObjectiveTo develop a sensitive and accurate αSyn-SAA biomarker using blood and saliva samples for sensitive, accurate and minimally invasive PD diagnosis.Design, Setting, and ParticipantsThis prospective diagnostic study evaluates serum and saliva samples collected from patients clinically diagnosed with PD or healthy controls (HC) without PD at an academic Parkinson′s and Movement Disorders Center from February 2020 to March 2024. Patients diagnosed with non-PD parkinsonism were excluded from this analysis. A total of 124 serum samples (82 PD and 42 HC) and 131 saliva samples (83 PD and 48 HC) were collected and examined by αSyn-SAA. Out of the 124 serum donors, a subset of 74 subjects (48 PD and 26 HC) also donated saliva samples during the same visits. PD patients with serum samples had a mean age of 69.21 years (range 44-88); HC subjects with serum samples had a mean age of 66.55 years (range 44-81); PD patients with saliva samples had a mean age of 69.58 years (range 49-87); HC subjects with saliva samples had a mean age of 64.71 years (range 30-81).Main Outcomes and MeasuresSerum and/or saliva αSynDseeding activities from PD and HC subjects were measured by αSyn-SAA using the Real-Time Quaking-Induced Conversion (RT-QuIC) platform. These PD patients had extensive clinical assessments including MDS-UPDRS. For a subset of PD and HC subjects whose serum and saliva samples were both collected during the same visits, the αSynDseeding activities in both samples from the same subjects were examined, and the diagnostic accuracies for PD based on the seeding activities in either sample alone or both samples together were compared.ResultsRT-QuIC analysis of αSynDseeding activities in the 124 serum samples revealed a sensitivity of 80.49%, a specificity of 90.48%, and an accuracy of 0.9006 (AUC of ROC, 95% CI, 0.8472-0.9539, p&lt;0.0001) for PD diagnosis. RT-QuIC analysis of αSynDseeding activity in 131 saliva samples revealed a sensitivity of 74.70%, a specificity of 97.92%, and an accuracy of 0.8966 (AUC of ROC, 95% CI, 0.8454-0.9478, p&lt;0.0001). When aSynDseeding activities in the paired serum-saliva samples from the subset of 48 PD and 26 HC subjects were considered together, sensitivity was 95.83%, specificity was 96.15%, and the accuracy was 0.98 (AUC of ROC, 95% CI, 0.96-1.00, p&lt;0.001), which are significantly better than when αSynDseeding activities in either serum or saliva were used alone. For the paired serum-saliva samples, when specificity was set at 100% by elevating the αSyn-SAA cutoff values, a sensitivity of 91.7% and an accuracy of 0.9457 were still attained. Detailed correlation analysis revealed that αSynDseeding activities in the serum of PD patients were correlated inversely with Montreal Cognitive Assessment (MoCA) score (p=0.04), positively with Hamilton Depression Rating Scale (HAM-D) (p=0.03), and weakly positively with PDQ-39 cognitive impairment score (p=0.07). Subgroup analysis revealed that the inverse correlation with MoCA was only seen in males (p=0.013) and weakly in the ≥70 age group (p=0.07), and that the positive correlation with HAM-D was only seen in females (p=0.04) and in the &lt;70 age group (p=0.01). In contrast, αSynDseeding activities in the saliva of PD patients were inversely correlated with age at diagnosis (p=0.02) and the REM sleep behavior disorder (RBD) status (p=0.04), but subgroup analysis showed that the inverse correlation with age at diagnosis was only seen in males (p=0.04) and in the &lt;70 age group (p=0.01).Conclusion and RelevanceOur data show that concurrent RT-QuIC assay of αSynDseeding activities in both serum and saliva can achieve high diagnostic accuracies comparable to that of CSF αSyn-SAA, suggesting that αSynDseeding activities in serum and saliva together can potentially be used as a valuable biomarker for highly sensitive, accurate, and minimally invasive diagnosis of PD in routine clinical practice. αSynDseeding activities in serum and saliva of PD patients correlate differentially with some clinical characteristics and in an age and sex-dependent manner.

An Artificial Neural Network Predicts Gender Differences of Motor and Non-Motor Symptoms of Patients with Advanced Parkinson's Disease under Levodopa-Carbidopa Intestinal Gel.

Background and Objectives: Currently, no tool exists to predict clinical outcomes in patients with advanced Parkinson's disease (PD) under levodopa-carbidopa intestinal gel (LCIG) treatment. The aim of this study was to develop a novel deep neural network model to predict the clinical outcomes of patients with advanced PD after two years of LCIG therapy. Materials and Methods: This was a longitudinal, 24-month observational study of 59 patients with advanced PD in a multicenter registry under LCIG treatment from September 2019 to September 2021, including 43 movement disorder centers. The data set includes 649 measurements of patients, which make an irregular time series, and they are turned into regular time series during the preprocessing phase. Motor status was assessed with the Unified Parkinson's Disease Rating Scale (UPDRS) Parts III (off) and IV. The NMS was assessed by the NMS Questionnaire (NMSQ) and the Geriatric Depression Scale (GDS), the quality of life by PDQ-39, and severity by Hoehn and Yahr (HY). Multivariate linear regression, ARIMA, SARIMA, and Long Short-Term Memory-Recurrent NeuralNetwork (LSTM-RNN) models were used. Results: LCIG significantly improved dyskinesia duration and quality of life, with men experiencing a 19% and women a 10% greater improvement, respectively. Multivariate linear regression models showed that UPDRS-III decreased by 1.5 and 4.39 units per one-unit increase in the PDQ-39 and UPDRS-IV indexes, respectively. Although the ARIMA-(2,0,2) model is the best one with AIC criterion 101.8 and validation criteria MAE = 0.25, RMSE = 0.59, and RS = 0.49, it failed to predict PD patients' features over a long period of time. Among all the time series models, the LSTM-RNN model predicts these clinical characteristics with the highest accuracy (MAE = 0.057, RMSE = 0.079, RS = 0.0053, mean square error = 0.0069). Conclusions: The LSTM-RNN model predicts, with the highest accuracy, gender-dependent clinical outcomes in patients with advanced PD after two years of LCIG therapy.

Supplementing Best Care with Specialized Rehabilitation Treatment in Parkinson's Disease: A Retrospective Study by Different Expert Centers.

Background: This is a retrospective longitudinal study comparing 374 patients with Parkinson's disease (PD) who were treated in centers offering a specialized program of enhanced rehabilitation therapy in addition to expert outpatient care to 387 patients with PD, who only received expert outpatient care at movement disorders centers in Italy. Methods: The data are from subjects recruited in the Parkinson's Outcome Project (POP) at six Italian centers that are part of a multicenter collaboration for care quality improvement (the Fresco Network). The effects were measured with a baseline and a follow-up clinical evaluation of the Timed-Up-and-Go test (TUG), Parkinson's Disease Questionnaire (PDQ-39), and Multidimensional Caregiver Strain Index (MCSI), the number of falls and hospitalizations for any cause. We used a generalized linear mixed model with the dependent variables being the response variable, which included the covariates demographics, evaluation, and treatment variables. Results: We found that the subjects who underwent specialized enhanced rehabilitation had a better motor outcome over time than those who were managed by expert neurologists but had participated in community programs for exercise and other allied health interventions. The greatest effects were seen in patients in the early stages of the disease with a high amount of vigorous exercise per week in the last six months. Similar effects were seen for PDQ39, MCSI, the number of falls, and hospitalization. Conclusions: Long-term benefits to motor function and the quality of life in patients with PD and burden reduction in their caregivers can be achieved through a systematic program of specialized enhanced rehabilitation interventions.

Predicting Depression in Parkinson's Disease Using Commonly Available PD Questionnaires.

Background: Depression is common in patients with Parkinson's disease (PD) and significantly impacts both the patients and their caregivers. The associations between depression and the responses from commonly used questionnaires for PD patients were assessed. New patients presenting to the Movement Disorder Center completed a number of questionnaires, including assessments of the motor and non-motor symptoms of PD, including depression. Methods: The PD patients were grouped according to severity of depression: none, mild, and moderate-severe, based on the Geriatric Depression Scale (GDS) scores. The mean scores of the Unified PD Rating Scale (UPDRS), Montreal Cognitive Assessment (MoCA), Epworth Sleepiness Scale (ESS), Non-motor Symptoms Scale (NMSS), PD Quality of life (PDQ-39), Hoehn and Yahr score (H&Y), levodopa equivalent daily dose (LEDD), and number of antidepressants used were collected. There were 1214 PD patients included. Results: Increasing depression scores were associated with worsening motor symptoms (according to the UPDRS and H&Y), non-motor symptoms (according to the NMSS), cognition (according to the MoCA), sleepiness (according to the ESS), and quality of life (according to the PDQ-39) (all p-values of p < 0.001). Only half of the patients with mild or moderate-severe depression were taking antidepressants, and the LEDD increased with depression severity. The risk of depression increased by 16% and 5% for every 1-point increase in the NMSS and PDQ-39 scores, respectively. Conclusions: Depression is often unrecognized and undertreated and should be assessed regularly in PD patients, especially in those who demonstrate changes in motor or non-motor symptoms.

The greatest loss of unpleasant smells may be related to the risk of more severe PD symptoms.

Limited research has explored the relationship between the valence of olfactory dysfunction and PD clinical symptoms. This study aimed to investigate correlations between the emotional valence of olfactory impairment and different domains of PD symptoms. PD patients who fulfilled the clinically probable PD diagnostic criteria of the International Parkinson and Movement Disorder Society Clinical Diagnostic Criteria for Parkinson's Disease were recruited from the Center for Parkinson and Movement Disorders at Taichung Veterans General Hospital between October 2016 and April 2022. Demographic data and serial clinical assessments were collected, including the traditional Chinese version of the University of Pennsylvania Smell Identification Test (UPSIT-TC) and Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Thirty-five odors from the UPSIT-TC were classified into neutral, pleasant or unpleasant groups. Group comparisons, correlation analyses, and linear regression analyses were conducted to examine the relationship between olfactory impairment of UPSIT-TC odors, considering emotional valence, and MDS-UPDRS subscores across various domains. A total of 176 PD patients were recruited for analysis. Patients in the predominantly neutral/unpleasant odor impairment groups had higher MDS-UPDRS part III scores compared to those in the predominantly pleasant odor impairment group (pleasant vs. neutral vs. unpleasant odor impairment groups: 26.79 ± 13.59 vs. 35.33 ± 16.36 vs. 31.57 ± 12.37, p = 0.009). This trend was also noted in MDS-UPDRS rigidity, bradykinesia, and akinetic-rigid subscores (p = 0.003, p = 0.012, and p = 0.001, respectively). Correlation analysis revealed a weak but significant correlation between rigidity/akinetic-rigid subscores and misidentification numbers for neutral/unpleasant odors (all p < 0.05), with age, gender, LEDD, and disease duration as covariates. All significances were retained in the linear regression analysis. Our results emphasize the link between olfactory impairment of specific emotional valence, neutral/unpleasant odors, and PD severity, particularly with respect to akinetic-rigid symptoms. A concise olfactory test that focuses on both neutral and unpleasant odors may offer deeper insights into PD symptoms.

Tremor in cervical dystonia.

Cervical dystonia (CD) is the most common form of focal dystonia encountered in the clinic. Approximately one-third of CD patients have co-existing tremor in the head and hands. Assessment of tremor as regular or irregular in context of its oscillation trajectory, frequency, and amplitude is a major clinical challenge and can confound the diagnosis of CD. The misdiagnosis may lead to therapeutic failures, poor quality of life, and poor utilization of medical and financial resources. We analyzed the largest cohort of CD patients (n = 3117) available to date, collected from 37 movement disorder centers in North America, Europe, and Asia. We used machine learning to determine what clinical features from clinician reports predicted the presence of tremor as well as its regular or irregular appearance. Out of 3,117 CD patients, 1,367 had neck tremor. The neck tremor was interpreted as irregular in 1,022, regular in 345, and mixed (both irregular and regular) in 442. A feature importance analysis determined that greater severity of CD, longer disease duration, and older age, in descending order, predicted the presence of neck tremor. The probability of neck tremor was reduced if the dystonia affected other body parts in addition to the neck. We also found a significantly heightened risk for developing neck tremor in women. An additional feature importance analysis indicated that increased severity of dystonia affecting other body parts, severity of CD, and prolonged disease duration was associated with a lower likelihood of regular neck tremor while increased age predicted a higher likelihood. Machine learning recognized the most relevant clinical features that can predict concurrent neck tremor and its irregularity in a large multi-center dystonia cohort. These results may facilitate a more accurate description of neck tremor and improved care path in CD.

Validation of the Italian version of the Parkinson’s Disease- Cognitive Functional Rating Scale

A key distinguishing factor between mild cognitive impairment (MCI) and dementia in Parkinson’s disease (PD) lies in the notable decrease in functioning due to cognitive impairment. The Parkinson’s Disease-Cognitive Functional Rating Scale (PD-CRFS) was developed to assess functional limitations caused by cognitive impairment, while reducing the influence of motor impairment. The aim of this multicenter study was to (i) validate the Italian version of the PD-CFRS in PD, (ii) determine optimal cut-off scores for detecting MCI and dementia in PD, (iii) compare its performances with the most established functional assessment tool (IADL). Six hundred and sixty nine PD participants were recruited from 4 Italian Movement Disorders centers (Venice, Milan, Gravedona, and Salerno). They underwent Level-II cognitive evaluation, which resulted in 282 PD-NC, 310 PD-MCI, and 77 PDD. The PD-CFRS’s psychometric and clinimetric properties, applicability, and responsiveness were analyzed. The PD-CFRS showed high acceptability. Floor and ceiling effects were acceptable. It also displayed strong internal consistency (Cronbach’s α = 0.738), and test–retest reliability (ICC = .854). The PD-CFRS demonstrated higher coefficient of variation to detect dysfunction in PD-MCI patients in comparison to the IADL scale (PD-CFRS 96% vs IADL 22.5%). Convergent validity with the IADL was r = − 0.638 and − 0.527 in males and females, respectively. PD-CFRS total score negatively correlated with global cognition (MoCA corrected score r = − 0.61; p < 0.001). A cut-off score > 6.5 identified PDD with a sensitivity of 90% and specificity of 88% (AUC = .959). A cut-off value of > 1 detected PD-MCI with a sensitivity of 68% and specificity of 69% (AUC = .695). The Italian version of the PD-CFRS demonstrated to be an easy, valid and reliable tool that properly captures functional impairment due to cognitive decline in PD. It also proved to be particularly effective in the advanced stages of PD, and would be a useful support for the diagnosis of PD-MCI and PDD.

Determinants of care partner burden in atypical Parkinsonian syndromes: A retrospective, multi-center analysis

IntroductionProgressive supranuclear palsy (PSP), corticobasal syndrome (CBS), and multiple system atrophy (MSA) are rare neurodegenerative diseases associated with rapid decline and require complex symptom management. Caregiving responsibilities significantly increase with progression of these atypical Parkinsonian syndromes, yet care burden in these syndromes has not been researched extensively to date. MethodsThe Zarit Burden Interview (ZBI) was used to assess burden in care partners of patients clinically diagnosed with PSP, CBS, or MSA seen in specialty interdisciplinary clinics at two academic movement disorders centers. Univariable and multivariable regression analyses were performed to evaluate cross-sectional demographic and clinical determinants of care partner burden. ResultsA total of 139 care partners completed the ZBI (59.0% PSP, 28.1% MSA, 12.9% CBS). Cohorts at both medical centers were similar across all variables. Female gender of both patients and care partners was independently associated with higher ZBI scores. Additionally, MSA-Parkinsonian type was significantly associated with lower total care partner burden compared to PSP and CBS. ConclusionSeveral determinants of higher care partner burden in atypical Parkinsonian syndromes were identified, particularly female gender and diagnosis. Healthcare professionals can consider this information when assessing individualized needs of patients and care partners and referring to disease-specific resources. Additionally, this study’s methods and results highlight the potential to further explore interdisciplinary care as a means of comprehensive evaluation and support for those with atypical Parkinsonism.

21 Exploratory Factor Analysis of the Cognitive Change Index-20 in Individuals with Parkinson disease or Essential Tremor

Objective:Subjective cognitive complaints are common in individuals with Parkinson’s disease and Essential Tremor. One scale often used to capture the type and severity of subjective cognitive concerns is the Cognitive Change Index-20 (CCI-20). Created by Saykin et al (2006), the CCI-20 is a questionnaire that assesses perception of cognitive changes in memory, executive function, and language domains. Despite its multidomain structure, previous research has not empirically examined whether the CCI-20's underlying factor structure aligns with the cognitive domains proposed during its original development. Thus, the goal of the current study was to investigate the factor structure of the CCI-20 in individuals with movement disorders (Parkinson’s disease, Essential Tremor) who are known to experience varying degrees of cognitive sequelae as part of their disease progression.Participants and Methods:Participants included a convenience sample of 216 non-demented individuals with Parkinson disease (n=149) or Essential Tremor (n=67) who were seen at the University of Florida Fixel Institute Movement Disorders Center. All received the CCI-20 as part of a neuropsychological evaluation. The CCI-20 consists of 20 items, rated on a 5-point Likert scale, that ask questions about change in memory (12 items), executive function (5 items), and language (3 items) over the past 5 years. An exploratory factor analysis was conducted on CCI-20 scores using Promax rotation with factor extraction based on scree plot visual inspection and Kaiser’s rule (eigenvalues &gt;1.0). Cronbach’s alpha was used to assess internal consistency reliability. Finally, Spearman correlations determined associations between factors and mood measures of depression (Beck Depression Inventory-II, BDI-II), apathy (Apathy Scale, AS), and anxiety (State-Trait Anxiety Inventory, STAI).Results:Because the Parkinson’s disease and Essential Tremor groups did not statistically differ in their CCI-20 total scores, they were combined into a single group for analyses. This resulted in 216 participants who were well-educated (m=15.01±2.92), in their mid-60's (m=67.72±9.33), predominantly male (63%), and non-Hispanic White (93.6%). The factor analysis resulted in 3 factors: factor 1 included 8 memory items (items 1-4, 6, 10-12; loadings from .524 to .920); factor 2 included all executive and language (items 13-20; loadings from .605 to .824), and factor 3 included four remaining memory items (items 5, 7-9; loadings from .628 to .810). Reliability of the 20 CCI items was good (a = .94), and reliability within each factor ranged from adequate (Factor 3, a = .78) to good (Factors 1 and 2, a = .90). All factors showed significant weak to moderate associations with BDI-II, AS, and STAI (state and trait) scores.Conclusions:The CCI-20 revealed three distinct dimensions of subjective cognitive complaints that did not correspond to the memory, executive function, and language domains. Rather, the CCI-20 was decomposed into two different dimensions of memory complaints and one dimension of non-memory complaints. Mood symptoms played a significant role in driving all dimensions of subjective cognitive complaints. Future studies should confirm this triadic structure in a healthy older adult sample and explore the relationship between factors and objective cognitive performance beyond the contribution of mood. T32-AG061892; T32-NS082168

20 Laterality of Motor Symptom Onset is Not Associated with Cognitive Performance or Mood Symptoms in a Sample of 600 Individuals with Idiopathic Parkinson’s Disease”

Objective:Parkinson’s disease (PD) is typically characterized by unilateral onset of motor symptoms (i.e., tremors, rigidity) which is caused by dopaminergic degeneration of the substantia nigra that influences basal ganglia-prefrontal circuitry. Over time, motor symptoms become more bilateral, though continue to remain asymmetric. Many neuropsychological studies suggest that laterality of motor onset may be linked to hemispheric specific cognitive or mood changes. Namely, worse verbal/language performance may be present in individuals with right body (left hemisphere) onset and conversely for visuospatial performance, with depression symptoms relating more so to individuals with right body (left hemisphere) onset. To date, findings are often inconsistent, with some studies showing evidence for laterality effects and others not. The basis for this inconsistency is unclear, though one possibility relates to small sample sizes and varying methodologies. Thus, the goal of this study was to examine potential cognitive and mood laterality effects in a large clinical sample of individuals with PD.Participants and Methods:Participants included a convenience sample of 600 nondemented individuals with idiopathic PD from the University of Florida Fixel Institute Movement Disorders Center. As a group, participants were around 60 years of age (Mean Age=63.9+9.4), well educated (Mean years=14.9+2.7), predominantly male (70%), and white non-Hispanic (93%). Side of initial motor symptom onset was based on self-report: Right (N=337) and Left (N=263). Approximately 79% were tremor predominant. All received mood and neurocognitive measures as part of standard clinical care, including indices of executive function (Stroop Color-Word, Trails B, Letter Fluency), recent verbal memory (delayed recall: Hopkin’s Verbal Learning Test, WMS-III Logical Memory), language (Boston Naming Test, Animal fluency), visuospatial skills (Judgment of Line Orientation, Facial Recognition Test). Evaluation of emotion symptoms included: depression (Beck Depression Inventory-II), apathy (Apathy Scale), and anxiety (State-Trait Anxiety Inventory). Analyses used raw scores from these measures. Due to non-normality of most measures’ distributions, laterality effects were examined using bootstrapped multivariate methods (multivariate analysis of variance [MANOVA]). Separate MANOVA’s were run for each cognitive domain (i.e., EF, language, etc.) and mood measures.Results:The right and left sided onset groups did not significantly differ in demographic (age, education, sex) or disease characteristics (duration, PD subtype). Results of the MANOVA’s with cognitive variables were all nonsignificant broadly (all with F’s ranging from .33 to .94) and at the single test level. Similarly, the left and right onset groups did not significantly differ (a=0.05) across standard scales of depression (F=0.031), anxiety (Trait F=0.463; State F=3.29), and apathy (F=0.74).Conclusions:We found no evidence that laterality of initial motor symptoms influenced cognitive or mood symptoms in a large cohort of 600 individuals with PD. These findings raise questions about importance of motor onset laterality for cognitive and emotion related changes in PD. Future studies should move beyond self-report and behavioral motor scales for determining hemispheric contributions. In PD, use of refined metrics for determining the extent of asymmetric dopaminergic degeneration (e.g., DAT scan) at the hemispheric level coupled with sensitive neuropsychological measures may provide clearer understanding of potential neural circuitry relationships.

Average annual cost of Parkinson's disease in a Brazilian multiethnic population

IntroductionWith the current demographic transition, it is estimated that by 2050 Brazil will have a population of 90 million people aged 60 years or more, and in parallel Parkinson's disease (PD) will bring a considerable economic burden to our society. Brazil is considered multiracial due to its colonization, generating important social and regional inequalities. Knowing the costs of the PD may aid to improve local public policies. However, in Brazil, no estimates of these values have been made so far. ObjectivesTo evaluate direct, indirect, and out-of-pocket costs in Brazilian people with PD (PwP). MethodsCategorical and numerical data were collected through a customized and standardized cost-related-questionnaire from 1055 PwP nationwide, from 10 tertiary movement disorders centers across all Brazilian regions. ResultsThe estimated average annual cost of PwP was US$ 4020.48. Direct and indirect costs accounted for 63% and 36% of the total, respectively, and out-of-pocket costs were 49%. There were no evidence of differences in the total cost of PD across the regions of the country; however, differences were reported between the stages of the Hoehn and Yahr scale (H&Y). ConclusionThis data suggests a considerable burden of PD for Brazilian society in general, not only for the public health system, but mainly for those with PD.

Comparison of Apathy and Cognitive Symptoms in Pre- and Postoperative Period in Deep Brain Stimulation Surgery.

The aim of the study was to investigatie apathy and cognitive functions in Parkinson's disease patients who underwent deep brain stimulation surgery on bilateral subthalamic nuclei. This study included 18 patients with Parkinson's disease who were accommodated in the Parkinson's and Movement Disorders Center of Adana City Training and Research Hospital for treatment in 2022. Patients were evaluated by psychiatry, neurology and neurosurgery specialists with a multidisciplinary approach and found to be surgically appropriate. Standardized Mini-Mental Test and Montreal Cognitive Assessment Scale, Apathy Evaluation Scale, and Hamilton Anxiety and Depression Scale were administered to each patient before the operation and at 6 months after effective stimulation parameters were reached. The mean apathy score at the preoperative zeroth month was 47.77 ± 15.83 in patients having deep brain stimulation surgery and 30.83 ± 13.59 in the postoperative sixth month. Statistically that reduction was significant (P = .003) and showed clinical development. The average Hamilton Anxiety Scale scores at the preoperative zeroth month was 11.50 ± 5.14 and 10.22 ± 5.57 at the postoperative sixth month, with no clinical significance (P = .280). The determined value for the Unified Parkinson's Disease Rating Scale, on treatment, was 22.55 ± 7.53 in the preoperative zeroth month and 14.50 ± 6.99 in the postoperative sixth month, with statistical significance (P < .001). The Unified Parkinson's Disease Rating Scale, off treatment, score was revealed to be significant in the preoperative zeroth month (37.44 ± 9.85) in comparison to that of the postoperative sixth month (23.44 ± 7.86; P < .001). This study showed that bilateral subthalamic stimulation improves nonmotor and motor symptoms in patients having Parkinson's disease. The mechanism is complex, and we believe that future studies focusing on pharmacological and nonpharmacological treatments involving more patient groups will be useful for clinicians.

H - 68 Effects of Depression, Apathy and Anxiety in Hispanic Parkinson Disease Individuals' Cognition.

Previous research in individuals with Parkinson's disease (PD) found that heightened apathy is associated with worse executive function. Most studies to-date have involved primarily White, non-Hispanic individuals. Indeed, recent research suggests that mood/motivation's relationship to cognitive decline differs between Hispanic and non-Hispanic individuals (Thakur et al., 2021). In this study, we examined relationships between depression, apathy, anxiety, and cognition in Hispanic PD participants who were seen in a specialized movement disorders center. Participants included 31 non-demented Hispanic individuals with PD (age mean = 59.94, SD = 8.49years; education mean = 14.39, SD = 2.79; 83.9% male) who completed neuropsychological and mood measures (Beck Depression Inventory-II, Apathy Scale, STAI-Trait Anxiety Scale). Prevalence estimates were calculated using established cut-offs (BDI-II:14, AS:14, STAI-Trait:40). Cognitive raw scores were z-scored and averaged into the composites: attention (WAIS-III Digit Span Forward, Backward), processing speed (Stroop Word, Trails A), executive function (Trails B, Stroop Color-Word), and memory (Hopkin's Verbal Learning Test, WMS-III Logical Memory delayed recalls). Non-parametric partial correlations (correcting for age/education) assessed mood and cognitive composite relationships. 17% had clinically significant depressive symptoms, 12% had apathy, and 35% had anxiety. More depressive symptoms were significantly associated with worse memory (r = -0.54, p = 0.007). Greater anxiety symptoms trended with worse processing speed (r = -0.41, p = 0.065) and memory (r = -0.38, p = 0.094). Apathy did not relate to cognition (p's > 0.05). This pattern of associations differs from existing studies with predominantly White, non-Hispanic samples (Butterfield et al., 2010; Ratajska, et al.,2022), highlighting the importance of further investigating ethnic differences in PD.