Quantitative Gait Analysis in Parkinson’s Disease: Comparison With a Healthy Control Group

Abstract Risk factors for long-term non-motor disorders and quality of life following subthalamic nucleus deep-brain stimulation (STN DBS) have not yet been fully identified. In the present study, we investigated the impact of motor symptom asymmetry in Parkinson’s disease.Data were extracted for 52 patients with Parkinson’s disease (half with left-sided motor symptoms and half with right-sided ones) who underwent bilateral STN and a matched healthy control group. Performances for cognitive tests and neuropsychiatric and quality-of-life questionnaires at 12 months post-DBS were compared with a pre-DBS baseline. Results indicated a deterioration in cognitive performance post-DBS in patients with left-sided motor symptoms. Performances of patients with right-sided motor symptoms were maintained, except for a verbal executive task. These differential effects had an impact on patients’ quality of life. The results highlight the existence of two distinct cognitive profiles of Parkinson’s disease, depending on motor symptom asymmetry. This asymmetry is a potential risk factor for non-motor adverse effects following STN DBS.

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Stereopsis Deficits in Parkinson’s Disease and Their Clinical Implications

10.21203/rs.3.rs-106032/v1 ◽

2020 ◽

Author(s):

Fang Ba ◽

Tina T. Sang ◽

Jaleh Fatehi ◽

Wenjing He ◽

Emanuel Mostofi ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Disease Severity ◽

Rating Scale ◽

Disease Status ◽

Cognitive Status ◽

Control Group ◽

Motor Disorder ◽

Healthy Control ◽

Stereo Acuity

Abstract Background: Parkinson's disease (PD) is not exclusively a motor disorder. Among non-motor features, PD patients possess sensory visual dysfunctions. Stereopsis deficit can significantly impact patients' motor performance. However, it is not routinely tested, and its significance is under-investigated. Studying stereopsis using reliable 3D stimuli may help determine its implications in disease status in PD.The objective of the study is to investigate stereopsis abnormalities in PD with reliable and more physiological tools, and their correlation with indicators of PD severity. Methods: Twenty-four healthy control and 20 PD participants were first evaluated for visual acuity, visual field, contrast acuity, and stereoperception with 2D and Titmus stereotests, followed by the assessment with the 3D active shutter system. The correlation between stereopsis and disease severity, Unified Parkinson’s disease rating scale motor scores (UPDRS-III), levodopa equivalent daily dose (LEDD), course of disease and cognitive status were evaluated using univariate regression models. Results: Screening visual tests did not reveal any differences between PD and control group. With the 3D active shutter system, PD patients demonstrated significantly worse stereopsis (i.e p=0.002, 26 seconds of arc). There was a trend that UPDRS-III and LEDD negatively correlate with the stereo acuity, suggesting poorer stereoperception is related to disease severity. Preserved cognitive function correlated with more intact stereo acuity. Conclusion: With more reliable and physiological tools, PD patients exhibit poorer stereopsis. These deficits reflected PD motor and cognitive status. How stereopsis relates to gait, fall risks and navigation warrants more investigations in the future.

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Can Quantitative Gait Analysis Be Used to Guide Treatment of Patients with Different Subtypes of Parkinson’s Disease?

Neuropsychiatric Disease and Treatment ◽

10.2147/ndt.s266585 ◽

2020 ◽

Vol Volume 16 ◽

pp. 2335-2341

Author(s):

Zhuang Wu ◽

Min Zhong ◽

Xu Jiang ◽

Bo Shen ◽

Jun Zhu ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Gait Analysis ◽

Quantitative Gait Analysis

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uGait: A platform for automated quantitative gait analysis and its application to Parkinson’s disease

Web Intelligence ◽

10.3233/web-180379 ◽

2018 ◽

Vol 16 (2) ◽

pp. 131-142 ◽

Cited By ~ 1

Author(s):

Xi Wu ◽

Chen Tang ◽

Xu Chen ◽

Shengqiang Xu ◽

Nan Cheng ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Gait Analysis ◽

Quantitative Gait Analysis

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Quantitative gait analysis for laser cue in Parkinson’s disease patients with freezing of gait

Annals of Translational Medicine ◽

10.21037/atm.2019.05.87 ◽

2019 ◽

Vol 7 (14) ◽

pp. 324-324

Author(s):

Liang Lin ◽

Wei Xu ◽

Zhikun Li ◽

Yu Chen ◽

Haojie Chen ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Gait Analysis ◽

Freezing Of Gait ◽

Quantitative Gait Analysis

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Characterization of idiopathic Parkinson’s disease subgroups using quantitative gait analysis and corresponding subregional striatal uptake visualized using 18F-FP-CIT positron emission tomography

Gait & Posture ◽

10.1016/j.gaitpost.2020.09.002 ◽

2020 ◽

Vol 82 ◽

pp. 167-173

Author(s):

Dae Hyun Kim ◽

Sunghyon Kyeong ◽

Miju Cheon ◽

Sang-Won Ha ◽

Jang Yoo ◽

...

Keyword(s):

Parkinson’S Disease ◽

Positron Emission Tomography ◽

Parkinson's Disease ◽

Gait Analysis ◽

Emission Tomography ◽

Idiopathic Parkinson’S Disease ◽

Positron Emission ◽

Idiopathic Parkinson's Disease ◽

Quantitative Gait Analysis

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Validation of quantitative gait analysis systems for Parkinson’s disease for use in supervised and unsupervised environments

BMC Neurology ◽

10.1186/s12883-021-02354-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Sara Alberto ◽

Sílvia Cabral ◽

João Proença ◽

Filipa Pona-Ferreira ◽

Mariana Leitão ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Gait Analysis ◽

Inertial Sensor ◽

Low Cost ◽

Wearable Sensors ◽

Smartphone Application ◽

Control Group ◽

Wearable Systems ◽

Full Body

Abstract Background Gait impairments are among the most common and impactful symptoms of Parkinson’s disease (PD). Recent technological advances aim to quantify these impairments using low-cost wearable systems for use in either supervised clinical consultations or long-term unsupervised monitoring of gait in ecological environments. However, very few of these wearable systems have been validated comparatively to a criterion of established validity. Objective We developed two movement analysis solutions (3D full-body kinematics based on inertial sensors, and a smartphone application) in which validity was assessed versus the optoelectronic criterion in a population of PD patients. Methods Nineteen subjects with PD (7 female) participated in the study (age: 62 ± 12.27 years; disease duration: 6.39 ± 3.70 years; HY: 2 ± 0.23). Each participant underwent a gait analysis whilst barefoot, at a self-selected speed, for a distance of 3 times 10 m in a straight line, assessed simultaneously with all three systems. Results Our results show excellent agreement between either solution and the optoelectronic criterion. Both systems differentiate between PD patients and healthy controls, and between PD patients in ON or OFF medication states (normal difference distributions pooled from published research in PD patients in ON and OFF states that included an age-matched healthy control group). Fair to high waveform similarity and mean absolute errors below the mean relative orientation accuracy of the equipment were found when comparing the angular kinematics between the full-body inertial sensor-based system and the optoelectronic criterion. Conclusions We conclude that the presented solutions produce accurate results and can capture clinically relevant parameters using commodity wearable sensors or a simple smartphone. This validation will hopefully enable the adoption of these systems for supervised and unsupervised gait analysis in clinical practice and clinical trials.

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Cognitive Function Characteristics of Parkinson’s Disease with Sleep Disorders

Parkinson s Disease ◽

10.1155/2017/4267353 ◽

2017 ◽

Vol 2017 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Jing Huang ◽

Wenyan Zhuo ◽

Yuhu Zhang ◽

Hongchun Sun ◽

Huan Chen ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Function ◽

Sleep Disorders ◽

Sleep Disorder ◽

Control Group ◽

Different Types ◽

Healthy Control ◽

State Examination ◽

Primary Sleep Disorder

Objective. The aim of this study was to investigate the cognitive function characteristics of Parkinson’s disease (PD) with sleep disorders. Methods. Consecutive patients with PD (n=96), patients with primary sleep disorders (n=76), and healthy control subjects (n=66) were assessed. The patients with PD were classified into sleep disorder (PD-SD) and non-sleep disorder (PD-NSD) groups. Results. Among 96 patients with PD, 69 were diagnosed with a sleep disorder. There were 38 sleep disorder cases, 31 RBD cases, and 27 NSD cases. On the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and MoCA subtests, patients in the PD-SD, primary sleep disorder, and PD-NSD groups exhibited lower scores than those in the control group. Moreover, the PD-SD patients exhibited more significant cognitive impairment than was observed in the primary sleep disorder patients. In the PD-SD subgroup, the attention scores on the MoCA and on MoCA subtests were lower in the PD with RBD group than in the PD with insomnia group. Conclusion. PD with sleep disorders may exacerbate cognitive dysfunction in patients. PD associated with different types of sleep disorders differentially affects cognitive functions, and patients with PD with RBD exhibited poorer cognitive function than was seen in patients with PD with insomnia.

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Effects of dopamine on reinforcement learning and consolidation in Parkinson’s disease

eLife ◽

10.7554/elife.26801 ◽

2017 ◽

Vol 6 ◽

Cited By ~ 18

Author(s):

John P Grogan ◽

Demitra Tsivos ◽

Laura Smith ◽

Brogan E Knight ◽

Rafal Bogacz ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Reinforcement Learning ◽

Negative Reinforcement ◽

Control Group ◽

Dopaminergic Medication ◽

Matched Healthy Control ◽

Healthy Control ◽

Within Subjects ◽

With Memory

Emerging evidence suggests that dopamine may modulate learning and memory with important implications for understanding the neurobiology of memory and future therapeutic targeting. An influential hypothesis posits that dopamine biases reinforcement learning. More recent data also suggest an influence during both consolidation and retrieval. Eighteen Parkinson’s disease patients learned through feedback ON or OFF medication, with memory tested 24 hr later ON or OFF medication (4 conditions, within-subjects design with matched healthy control group). Patients OFF medication during learning decreased in memory accuracy over the following 24 hr. In contrast to previous studies, however, dopaminergic medication during learning and testing did not affect expression of positive or negative reinforcement. Two further experiments were run without the 24 hr delay, but they too failed to reproduce effects of dopaminergic medication on reinforcement learning. While supportive of a dopaminergic role in consolidation, this study failed to replicate previous findings on reinforcement learning.

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Differences in facial expression recognition between patients suffering from Parkinson's disease and healthy subjects

European Psychiatry ◽

10.1016/s0924-9338(11)72883-8 ◽

2011 ◽

Vol 26 (S2) ◽

pp. 1178-1178

Author(s):

I. Laskowska ◽

M. Wiłkość

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Facial Expressions ◽

Control Group ◽

Expression Recognition ◽

Intelligence Scale ◽

Control Subjects ◽

Recognition Of Facial Expressions ◽

Healthy Control ◽

Male Subjects

IntroductionPatients with Parkinson's disease (PD) may show impairment in their ability to recognize facial expressions. It has been speculated that this deficit is linked to hypodopaminergic state which may be connected with an increase in amygdalic activity.ObjectivesThe objective of the study was to assess ability in the perception and recognition of facial expressions among thirty-eight PD subjects and thirty-eight healthy control subjects matched by age, sex, and education level.AimsTo investigate differences in perception of positive, negative and neutral facial expressions, such as sadness, happiness, anger, disgust, fear, astonishment, distrust, uncertainty, curiosity, satisfaction, tenderness, disbelief, embarrassment, disrespect.MethodsThe Polish Emotional Intelligence Scale - Faces (SIET) was used.ResultsThe results obtained indicate more deficits in recognition of sadness, anger, distrust, embarrassment and tenderness in PD subjects, while happiness was better recognized by PD subjects than by healthy control subjects. Overall, negative expressions were more poorly recognized by PD patients while there were no differences in recognition of positive and neutral emotions in both groups. In addition, astonishment, embarrassment and distrust were more poorly recognized in females with PD when compared with female control subjects. Whereas in male PD subjects, the recognition of disbelief and negative expressions was more impaired when compared with male subjects from the control group.ConclusionsThe results suggest that a hypodopaminergic state affects ability to recognize facial expressions, particularly those expressing negative emotions.

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