Altered cerebellar oscillations in Parkinson's disease patients during cognitive and motor tasks

Structural and functional abnormalities in the cerebellar region have been shown in patients with Parkinson's disease (PD). Since the cerebellar region has been associated with cognitive and lower-limb motor functions, it is imperative to study cerebellar oscillations in PD. Here, we evaluated cerebellar electroencephalography (EEG) during cognitive processing and lower-limb motor performances in PD. Cortical and cerebellar EEG were collected from 74 PD patients and 37 healthy control subjects during a 7-second interval timing task, 26 PD patients and 13 controls during a lower-limb pedaling task, and 23 PD patients during eyes-open/closed resting conditions. Analyses were focused on the mid-cerebellar Cbz electrode and further compared to the mid-occipital Oz and mid-frontal Cz electrodes. Increased alpha-band power was observed during the eyes-closed resting-state condition over Oz, but no change in alpha power was observed over Cbz. PD patients showed higher dispersion when performing the 7-second interval timing cognitive task and executed the pedaling motor task with reduced speed compared to controls. PD patients exhibited attenuated cue-triggered theta-band power over Cbz during both the interval timing and pedaling motor tasks. Connectivity measures between Cbz and Cz showed theta-band differences, but only during the pedaling motor task. Cbz oscillatory activity also differed from Oz across multiple frequency bands in both groups during both tasks. Our cerebellar EEG data along with previous magnetoencephalography and animal model studies clearly show the alteration in the cerebellar oscillations during cognitive and motor processing in PD.

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Frontal theta and beta oscillations during lower-limb movement in Parkinson’s disease

10.1101/634808 ◽

2019 ◽

Cited By ~ 1

Author(s):

Arun Singh ◽

Rachel C. Cole ◽

Arturo I. Espinoza ◽

Darin Brown ◽

James F. Cavanagh ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Lower Limb ◽

Motor Task ◽

Limb Movement ◽

Beta Band ◽

Beta Oscillations ◽

Frontal Electrode ◽

Lower Limb Movement ◽

Scalp Electroencephalogram

ABSTRACTBackgroundMotor and cognitive dysfunction has been linked in patients with Parkinson’s disease (PD). EEG theta and beta rhythms are reliably associated with cognitive and motor functions, respectively. We tested the hypothesis that PD patients with lower-limb abnormalities would exhibit abnormal beta and theta rhythms in the mid-frontal region during action initiation.MethodsWe recruited thirty-nine subjects, including PD patients with FOG (PDFOG+; n=13) and without FOG (PDFOG−; n=13), and demographically-matched healthy subjects (n=13). Scalp electroencephalogram (EEG) signals were collected during a lower-limb pedaling motor task, which required intentional initiation and stopping of a motor movement.ResultsFOG scores were correlated with disease severity and cognition. PDFOG+ patients pedaled with reduced speed and decreased acceleration compared to PDFOG− patients and to controls. PDFOG+ patients exhibited attenuated theta-band (4-8 Hz) power and increased beta-band (13-30 Hz) power at mid-frontal electrode Cz during pedaling. Frontal theta- and beta-band oscillations also correlated with lower-limb movement in PD patients.ConclusionsFrontal theta and beta oscillations are predictors of lower-limb motor symptoms in PD. These data provide insight into the mechanism of lower-limb dysfunction in PD, and could be used to design neuromodulation for PD-related lower-limb abnormalities.

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Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson’s Disease

Sensors ◽

10.3390/s19051129 ◽

2019 ◽

Vol 19 (5) ◽

pp. 1129 ◽

Cited By ~ 10

Author(s):

Claudia Ferraris ◽

Roberto Nerino ◽

Antonio Chimienti ◽

Giuseppe Pettiti ◽

Nicola Cau ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Lower Limb ◽

Rating Scale ◽

Postural Instability ◽

Motor Tasks ◽

Automated Assessment ◽

Home Based ◽

Supervised Classifiers ◽

Disease Rating

A self-managed, home-based system for the automated assessment of a selected set of Parkinson’s disease motor symptoms is presented. The system makes use of an optical RGB-Depth device both to implement its gesture-based human computer interface and for the characterization and the evaluation of posture and motor tasks, which are specified according to the Unified Parkinson’s Disease Rating Scale (UPDRS). Posture, lower limb movements and postural instability are characterized by kinematic parameters of the patient movement. During an experimental campaign, the performances of patients affected by Parkinson’s disease were simultaneously scored by neurologists and analyzed by the system. The sets of parameters which best correlated with the UPDRS scores of subjects’ performances were then used to train supervised classifiers for the automated assessment of new instances of the tasks. Results on the system usability and the assessment accuracy, as compared to clinical evaluations, indicate that the system is feasible for an objective and automated assessment of Parkinson’s disease at home, and it could be the basis for the development of neuromonitoring and neurorehabilitation applications in a telemedicine framework.

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Timing variability and midfrontal ~4 Hz rhythms correlate with cognition in Parkinson’s disease

npj Parkinson s Disease ◽

10.1038/s41531-021-00158-x ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Arun Singh ◽

Rachel C. Cole ◽

Arturo I. Espinoza ◽

Aron Evans ◽

Scarlett Cao ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Dysfunction ◽

Cognitive Impairments ◽

Time Estimation ◽

Interval Timing ◽

Oscillatory Activity ◽

Mixed Effects Modeling ◽

Timing Variability ◽

Temporal Intervals

AbstractPatients with Parkinson’s disease (PD) can have significant cognitive dysfunction; however, the mechanisms for these cognitive symptoms are unknown. Here, we used scalp electroencephalography (EEG) to investigate the cortical basis for PD-related cognitive impairments during interval timing, which requires participants to estimate temporal intervals of several seconds. Time estimation is an ideal task demand for investigating cognition in PD because it is simple, requires medial frontal cortical areas, and recruits basic executive processes such as working memory and attention. However, interval timing has never been systematically studied in PD patients with cognitive impairments. We report three main findings. First, 71 PD patients had increased temporal variability compared to 37 demographically matched controls, and this variability correlated with cognitive dysfunction as measured by the Montreal Cognitive Assessment (MOCA). Second, PD patients had attenuated ~4 Hz EEG oscillatory activity at midfrontal electrodes in response to the interval-onset cue, which was also predictive of MOCA. Finally, trial-by-trial linear mixed-effects modeling demonstrated that cue-triggered ~4 Hz power predicted subsequent temporal estimates as a function of PD and MOCA. Our data suggest that impaired cue-evoked midfrontal ~4 Hz activity predicts increased timing variability that is indicative of cognitive dysfunction in PD. These findings link PD-related cognitive dysfunction with cortical mechanisms of cognitive control, which could advance novel biomarkers and neuromodulation for PD.

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Timing variability and midfrontal ~4 Hz rhythms correlate with cognition in Parkinson’s disease

10.1101/2020.10.26.356154 ◽

2020 ◽

Author(s):

Arun Singh ◽

Rachel C. Cole ◽

Arturo I. Espinoza ◽

Aron Evans ◽

Scarlett Cao ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Dysfunction ◽

Cognitive Impairments ◽

Time Estimation ◽

Interval Timing ◽

Oscillatory Activity ◽

Mixed Effects Modeling ◽

Timing Variability ◽

Temporal Intervals

ABSTRACTPatients with Parkinson’s disease (PD) can have significant cognitive dysfunction; however, the mechanisms for these cognitive symptoms are unknown. Here, we used scalp electroencephalography (EEG) to investigate the cortical basis for PD-related cognitive impairments during interval timing, which requires participants to estimate temporal intervals of several seconds. Time estimation is an ideal task demand for investigating cognition in PD because it is simple, requires medial frontal cortical areas, and recruits basic executive processes such as working memory and attention.However, interval timing has never been systematically studied in PD patients with cognitive impairments. We report three main findings. First, 71 PD patients had increased temporal variability compared to 37 demographically-matched controls, and this variability correlated with cognitive dysfunction as measured by the Montreal Cognitive Assessment (MOCA). Second, PD patients had attenuated ~4 Hz EEG oscillatory activity at midfrontal electrodes in response to the interval-onset cue, which was also predictive of MOCA. Finally, trial-by-trial linear mixed-effects modeling demonstrated that cue-triggered ~4 Hz power predicted subsequent temporal estimates as a function of PD and MOCA. Our data suggest that impaired cue-evoked midfrontal ~4 Hz activity predicts increased timing variability that is indicative of cognitive dysfunction in PD. These findings link PD-related cognitive dysfunction with cortical mechanisms of cognitive control, which could advance novel biomarkers and neuromodulation for PD.

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Intraoperative localization of spatially and spectrally distinct resting-state networks in Parkinson’s disease

Journal of Neurosurgery ◽

10.3171/2018.11.jns181684 ◽

2020 ◽

Vol 132 (4) ◽

pp. 1234-1242 ◽

Cited By ~ 1

Author(s):

Paolo Belardinelli ◽

Ramin Azodi-Avval ◽

Erick Ortiz ◽

Georgios Naros ◽

Florian Grimm ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Network Effects ◽

Brain Activity ◽

Dynamic Imaging ◽

Oscillatory Activity ◽

Network Information ◽

Novel Approach ◽

Electrophysiological Recordings ◽

Intraoperative Localization

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for symptomatic Parkinson’s disease (PD); the clinical benefit may not only mirror modulation of local STN activity but also reflect consecutive network effects on cortical oscillatory activity. Moreover, STN-DBS selectively suppresses spatially and spectrally distinct patterns of synchronous oscillatory activity within cortical-subcortical loops. These STN-cortical circuits have been described in PD patients using magnetoencephalography after surgery. This network information, however, is currently not available during surgery to inform the implantation strategy.The authors recorded spontaneous brain activity in 3 awake patients with PD (mean age 67 ± 14 years; mean disease duration 13 ± 7 years) during implantation of DBS electrodes into the STN after overnight withdrawal of dopaminergic medication. Intraoperative propofol was discontinued at least 30 minutes prior to the electrophysiological recordings. The authors used a novel approach for performing simultaneous recordings of STN local field potentials (LFPs) and multichannel electroencephalography (EEG) at rest. Coherent oscillations between LFP and EEG sensors were computed, and subsequent dynamic imaging of coherent sources was performed.The authors identified coherent activity in the upper beta range (21–35 Hz) between the STN and the ipsilateral mesial (pre)motor area. Coherence in the theta range (4–6 Hz) was detected in the ipsilateral prefrontal area.These findings demonstrate the feasibility of detecting frequency-specific and spatially distinct synchronization between the STN and cortex during DBS surgery. Mapping the STN with this technique may disentangle different functional loops relevant for refined targeting during DBS implantation.

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Faculty Opinions recommendation of Oscillatory activity and cortical coherence of the nucleus basalis of Meynert in Parkinson's disease dementia.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.733079662.793547927 ◽

2018 ◽

Author(s):

John Caviness

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Nucleus Basalis ◽

Nucleus Basalis Of Meynert ◽

Oscillatory Activity ◽

Parkinson’S Disease Dementia

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Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease

Scientific Data ◽

10.1038/s41597-021-00831-z ◽

2021 ◽

Vol 8 (1) ◽

Cited By ~ 1

Author(s):

Gloria Vergara-Diaz ◽

Jean-Francois Daneault ◽

Federico Parisi ◽

Chen Admati ◽

Christina Alfonso ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Symptom Severity ◽

Wearable Sensors ◽

Motor Fluctuations ◽

Sensor Data ◽

Accelerometer Data ◽

Motor Tasks ◽

Specific Symptom ◽

At Home

AbstractParkinson’s disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Dyskinesia and motor fluctuations are complications of PD medications. An objective measure of on/off time with/without dyskinesia has been sought for some time because it would facilitate the titration of medications. The objective of the dataset herein presented is to assess if wearable sensor data can be used to generate accurate estimates of limb-specific symptom severity. Nineteen subjects with PD experiencing motor fluctuations were asked to wear a total of five wearable sensors on both forearms and shanks, as well as on the lower back. Accelerometer data was collected for four days, including two laboratory visits lasting 3 to 4 hours each while the remainder of the time was spent at home and in the community. During the laboratory visits, subjects performed a battery of motor tasks while clinicians rated limb-specific symptom severity. At home, subjects were instructed to use a smartphone app that guided the periodic performance of a set of motor tasks.

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