A Comparative Study of Early and Late Onset Freezing of Gait in Parkinson's Disease

Prevalence and clinical correlates of nonmotor symptoms in Parkinson's disease in a tertiary health-care center in Turkey

OBJECTIVE

The objective was to determine the prevalence and clinical correlates of nonmotor symptoms in Parkinson's disease patients in movement disorders outpatient clinics.

METHODS

We enrolled all consecutive PD patients who visited our movement disorders outpatient clinics between January and December 2023; and agreed to participate in the study. In addition to the evaluation of demographic and clinical features, clinical scales, including the MDS-UPDRS, NMSS, and FOOGQ, were performed.

RESULTS

Overall, we enrolled 163 PD subjects with a mean age of 63.9 ± 10.4 (F/M = 27/136). The disease duration was 3.5 (20) y [median (range)]. The median score of the NMSS was 41 points. The NMSs burden levels were severe in 25.2%, and very severe in 25.2% of the subjects. The subitems with the highest scores were sleep/fatigue, mood/cognition, urinary, and miscellaneous. The analyses within the patient group with newly diagnosed PD also revealed high NMSS scores. Comparisons of the NMSS between distinct PD stages revealed greater NMSS scores in the severe stage than in the mild stage (p = 0.001). Correlation analyses between the clinical scores and the NMSS scores revealed positive correlations between the NMSS scores and the scores on all the clinical scales including the MDS-UPDRS 1-4, and FOGQ.

CONCLUSION

We reported the first data regarding the NMS burden in PD patients from Turkey. We found a high prevalence and severity of various domains of NMSs, most of which were sleep/fatigue, mood/cognition, urinary, and miscellaneous. More than half of the patients had severe to very severe NMS burden. Although NMSs were more common severe-stage disease, they were also prevalent in the subgroup with newly diagnosed patients.

Abnormal neural oscillations during gait and dual-task in Parkinson’s disease

Gait dysfunctions are debilitating motor symptoms of Parkinson’s disease (PD) and may result in frequent falling with health complications. The contribution of the motor-cognitive network to gait disturbance can be studied more thoroughly by challenging motor-cognitive dual-task gait performances. Gait is a complex motor task that requires an appropriate contribution from motor and cognitive networks, reflected in frequency modulations among several cortical and subcortical networks. Electrophysiological recordings by scalp electroencephalography and implanted deep brain stimulation (DBS) electrodes have unveiled modulations of specific oscillatory patterns in the cortical-subcortical circuits in PD. In this review, we summarize oscillatory contributions of the cortical, basal ganglia, mesencephalic locomotor, and cerebellar regions during gait and dual-task activities in PD. We detail the involvement of the cognitive network in dual-task settings and compare how abnormal oscillations in the specific frequency bands in the cortical and subcortical regions correlate with gait deficits in PD, particularly freezing of gait (FOG). We suggest that altered neural oscillations in different frequencies can cause derangements in broader brain networks, so neuromodulation and pharmacological therapies should be considered to normalize those network oscillations to improve challenged gait and dual-task motor functions in PD. Specifically, the theta and beta bands in premotor cortical areas, subthalamic nucleus, as well as alpha band activity in the brainstem prepontine nucleus, modulate under clinically effective levodopa and DBS therapies, improving gait and dual-task performance in PD with FOG, compared to PD without FOG and age-matched healthy control groups.

Predicting the onset of freezing of gait in Parkinson's disease

BACKGROUND

Freezing of gait is a debilitating symptom of Parkinson's disease associated with high risks of falls and poor quality of life. While productive therapy for FoG is still underway, early prediction of FoG could help high-risk PD patients to take preventive measures. In this study, we predicted the onset of FoG in de novo PD patients using a battery of risk factors from patients enrolled in PPMI cohort.

METHODS

Baseline characteristics were compared between subjects who developed FoG (68 patients, 37.2%, pre-FoG group) during the five-year follow up and subjects who did not (115 patients, 62.8%, non-FoG group). A multivariate logistic regression model was built based on backward stepwise selection of factors that were associated with FoG onset in the univariate analysis. ROC curves were used to assess sensitivity and specificity of the predictive model.

RESULTS

At baseline, age, PIGD score, cognitive functions, autonomic functions, sleep behavior, fatigue and striatal DAT uptake were significantly different in the pre-FoG group relative to the non-FoG group. However, there was no difference in genetic characteristics between the two patient sets. Univariate analysis showed several motor and non-motor factors that correlated with FoG, including PIGD score, MDS-UPDRS part II score, SDMT score, HVLT Immediate/Total Recall, MOCA, Epworth Sleepiness Scale, fatigue, SCOPA-AUT gastrointestinal score, SCOPA-AUT urinary score and CSF biomarker Abeta42. Multivariate logistic analysis stressed that high PIGD score, fatigue, worse SDMT performance and low levels of Abeta42 were independent risk factors for FoG onset in PD patients.

CONCLUSIONS

Combining motor and non-motor features including PIGD score, poor cognitive functions and CSF Abeta can identify PD patients with high risk of FoG onset.

Freezing of Gait in Parkinson's Disease: Risk Factors, Their Interactions, and Associated Nonmotor Symptoms

Background

Freezing of gait (FOG) is a debilitating and incompletely understood symptom in Parkinson's disease (PD).

Objective

To determine the principal clinical factors predisposing to FOG in PD, their interactions, and associated nonmotor symptoms.

Methods

164 PD subjects were assessed in a cross-sectional retrospective study, using the MDS-UPDRS scale, MMSE, and Clinical Dementia Rating Scale. Clinical factors associated with FOG were determined using univariate analysis and nominal logistic regression. Receiver operating characteristic curves were computed, to obtain measures of sensitivity and specificity of predictors of FOG. Subgroups of patients with FOG were compared with those without FOG, based on defining aspects of their clinical phenotype.

Results

Relative to non-FOG patients, those with FOG had a longer disease duration, higher PIGD and balance-gait score, higher LED, and more motor complications (p < 0.0001) and were more likely to exhibit urinary dysfunction (p < 0.0003), cognitive impairment, hallucinations, and psychosis (p=0.003). The balance-gait score and motor complications, at their optimum cutoff values, together predicted FOG with 86% accuracy. Interactions were noted between cognitive dysfunction and both the Bal-Gait score and motor complication status, cognitive impairment or dementia increasing the likelihood of FOG in subjects without motor complications (p=0.0009), but not in those with motor complications.

Conclusions

Both disease and treatment-related factors, notably LED, influence the risk of FOG in PD, with a selective influence of cognitive dysfunction in patients with balance-gait disorder but not in those with motor fluctuations. These findings may help to inform clinical management and highlight distinct subgroups of patients with PD-FOG, which are likely to differ in their network pathophysiology.

The Relationship Between Pain, and Freezing of Gait and Falls in Parkinson's Disease

INTRODUCTION

To investigate the relationship between pain, freezing of gait (FOG) and falls in Parkinson's Disease (PD).

METHODS

The study included 110 PD patients. The Unified PD Rating Scale (UPDRS) and Hoehn and Yahr Scale were used to evaluate disease severity. The patients self-reported occurrence of FOG and falls, and the FOG Questionnaire was administered to evaluate the severity of FOG. A visual analog scale (VAS) was used to measure the severity of pain and pain localization was self-reported by the patients.

RESULTS

Fifty-eight of the patients had FOG and 43 experienced falls. Among the patients, 42 had no pain, whereas 35 had lower extremity pain. Higher UPDRS motor and FOG scores, and advanced-stage disease were noted in significantly more of the patients with FOG and falls. VAS scores were not affected by the presence of FOG or falls. There was a positive correlation between the severity of FOG and VAS score in the male patients (r=0.308; p=0.010). More patients with falls had lower extremity pain than those without falls (r=0.308; p=0.010).

DISCUSSION

Patients with FOG and falls had more severe motor findings. Pain is correlated with both FOG and falls. Further investigations should be done to understand the mechanism of this relationship to prevent the motor complications in advanced PD.