Resting-State Low-Frequency Cerebellar Oscillations Can Be Abnormal in Parkinson’s Disease

Bosch, Taylor J.; Groth, Christopher L.; Singh, Anneliese A.

doi:10.1007/s12311-021-01343-7

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…However, our previous studies have shown no changes in frontal or cerebellar activities during motor and cognitive tasks in PDFOG+ and PDFOG− groups whether in ON or OFF medication states. 6,29,30,33 There are multiple subtypes of FOG (pharmacological and pathophysiological) that can likely have differences in network changes, particularly in the ON state. 47 As a limitation of our analysis, we could not correlate network analysis outcomes to different subtypes of FOG because we could not collect the data related to subtypes of FOG.…”

Section: Discussionmentioning

confidence: 99%

“…Data were re-referenced to the average, epoched into 3-second consecutive epochs, and bad epochs and artifacts were removed during pre-processing. 29,30 Signals from all 59 channels were filtered in 5 frequency bands (delta 1-4 Hz, theta 4-7 Hz, alpha 7-13 Hz, beta 13-30 Hz, and gamma 30-50 Hz). Then PLV was calculated for each band using the Hilbert transformation.…”

Section: Eeg Recordings and Analysismentioning

confidence: 99%

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Functional Connectivity in Patients With Parkinson’s Disease and Freezing of Gait Using Resting-State EEG and Graph Theory

Bosch

Espinoza

Mancini

et al. 2022

Neurorehabil Neural Repair

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Background Although many studies have shown abnormalities in brain structure and function in people with Parkinson’s disease (PD), we still have a poor understanding of how brain structure and function relates to freezing of gait (FOG). Graph theory analysis of electroencephalography (EEG) can explore the relationship between brain network structure and gait function in PD. Methods Scalp EEG signals of 83 PD (42 PDFOG+ and 41 PDFOG−) and 42 healthy controls were recorded in an eyes-opened resting-state. The phase lag index was calculated for each electrode pair in different frequency bands, but we focused our analysis on the theta-band and performed global analyses along with nodal analyses over a midfrontal channel. The resulting connectivity matrices were converted to weighted graphs, whose structure was characterized using strength and clustering coefficient measurements, our main outcomes. Results We observed increased global strength and increased global clustering coefficient in people with PD compared to healthy controls in the theta-band, though no differences were observed in midfrontal nodal strength and midfrontal clustering coefficient. Furthermore, no differences in global nor midfrontal nodal strength nor global clustering coefficients were observed between PDFOG+ and PDFOG− in the theta-band. However, PDFOG+ exhibited a significantly diminished midfrontal nodal clustering coefficient in the theta-band compared to PDFOG−. Furthermore, FOG scores were negatively correlated with midfrontal nodal clustering coefficient in the theta-band. Conclusion The present findings support the involvement of midfrontal theta oscillations in FOG symptoms in PD and the sensitivity of graph metrics to characterize functional networks in PDFOG+.

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Section: Discussionmentioning

confidence: 99%

Section: Eeg Recordings and Analysismentioning

confidence: 99%

Functional Connectivity in Patients With Parkinson’s Disease and Freezing of Gait Using Resting-State EEG and Graph Theory

Bosch

Espinoza

Mancini

et al. 2022

Neurorehabil Neural Repair

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“…Their study describes finding increased theta frequency band (4-7 Hz) activity in cerebellar electrodes for PD patients as compared to controls. The findings of this study demonstrate that the abnormal theta band cerebellar oscillations from the cerebellum may play a role in the pathophysiology of PD [68]. Furthermore, Bosch et al investigated cortical and cerebellar oscillatory responses using EEG in 10 PD patients with postural instability, 11 without postural instability, and 15 controls.…”

Section: Cerebellar Physiology In Tremormentioning

confidence: 71%

Physiological Recordings of the Cerebellum in Movement Disorders

et al. 2022

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The cerebellum plays an important role in movement disorders, specifically in symptoms of ataxia, tremor, and dystonia. Understanding the physiological signals of the cerebellum contributes to insights into the pathophysiology of these movement disorders and holds promise in advancing therapeutic development. Non-invasive techniques such as electroencephalogram and magnetoencephalogram can record neural signals with high temporal resolution at the millisecond level, which is uniquely suitable to interrogate cerebellar physiology. These techniques have recently been implemented to study cerebellar physiology in healthy subjects as well as individuals with movement disorders. In the present review, we focus on the current understanding of cerebellar physiology using these techniques to study movement disorders.

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“…Beta band (14-30 Hz) activity in cortico-basal ganglia circuits is broadly associated with static motor control, such as tonic or postural contractions. Theta oscillations (4-7 Hz) are associated with resting tremors, and their relative power was increased significantly in PD subjects ( Bosch et al, 2021 ). Gamma rhythm (>30 Hz) abnormalities in the motor cortex are important in the generation of motor symptoms in PD ( Hanajima et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Characterizing cortical responses to short-term multidisciplinary intensive rehabilitation treatment in patients with Parkinson’s disease: A transcranial magnetic stimulation and electroencephalography study

Pei

Liu

Huang

et al. 2022

Front. Aging Neurosci.

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Combined transcranial magnetic stimulation and electroencephalography (TMS-EEG) is a powerful non-invasive tool for qualifying the neurophysiological effects of interventions by recording TMS-induced cortical activation with high temporal resolution and generates reproducible and reliable waves of activity without participant cooperation. Cortical dysfunction contributes to the pathogenesis of the clinical symptoms of Parkinson’s disease (PD). Here, we examined changes in cortical activity in patients with PD following multidisciplinary intensive rehabilitation treatment (MIRT). Forty-eight patients with PD received 2 weeks of MIRT. The cortical response was examined following single-pulse TMS over the primary motor cortex by 64-channel EEG, and clinical symptoms were assessed before and after MIRT. TMS-evoked potentials were quantified by the global mean field power, as well as oscillatory power in theta, alpha, beta, and gamma bands, and their clinical correlations were calculated. After MIRT, motor and non-motor symptoms improved in 22 responders, and only non-motor function was enhanced in 26 non-responders. Primary motor cortex stimulation reduced global mean field power amplitudes in responders but not significantly in non-responders. Oscillations exhibited attenuated power in the theta, beta, and gamma bands in responders but only reduced gamma power in non-responders. Associations were observed between beta oscillations and motor function and between gamma oscillations and non-motor symptoms. Our results suggest that motor function enhancement by MIRT may be due to beta oscillatory power modulation and that alterations in cortical plasticity in the primary motor cortex contribute to PD recovery.

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Resting-State Low-Frequency Cerebellar Oscillations Can Be Abnormal in Parkinson’s Disease

Cited by 9 publications

References 15 publications

Functional Connectivity in Patients With Parkinson’s Disease and Freezing of Gait Using Resting-State EEG and Graph Theory

Functional Connectivity in Patients With Parkinson’s Disease and Freezing of Gait Using Resting-State EEG and Graph Theory

Physiological Recordings of the Cerebellum in Movement Disorders

Characterizing cortical responses to short-term multidisciplinary intensive rehabilitation treatment in patients with Parkinson’s disease: A transcranial magnetic stimulation and electroencephalography study

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