Resting State Cortical Oscillations of Patients With Parkinson Disease and With and Without Subthalamic Deep Brain Stimulation

Cao, Chunyan; Li, Dianyou; Jiang, Tianxiao; Ince, Nuri F.; Zhan, Siyan; Zhang, Jing; Sha, Zhiyi; Sun, Bomin

doi:10.1097/wnp.0000000000000137

Cited by 25 publications

(27 citation statements)

References 44 publications

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“…Upon stimulation, electromagnetic artifacts generated by the stimulator, such as jump artifacts and ringing artifacts, obscure neuronal activity (see (Oswal, Jha, et al, ) for a detailed description of DBS‐artifacts). However, MEG recordings are still technically feasible as DBS artifacts can be minimized using spatial filters (Airaksinen et al, ; Cao et al, ; Cao et al, ), beamforming techniques (Mohseni et al, ; Oswal, Jha, et al, ), or independent component analyses in combination with mutual information (Abbasi, Hirschmann, Schmitz, Schnitzler, & Butz, ). For a recent review on the effect of DBS on multiple diseases, studied using MEG, see (Harmsen, Rowland, Wennberg, & Lozano, ).…”

Section: Resultsmentioning

confidence: 99%

A systematic review of MEG‐based studies in Parkinson's disease: The motor system and beyond

Boon

Geraedts

Hillebrand

et al. 2019

Human Brain Mapping

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Parkinson's disease (PD) is accompanied by functional changes throughout the brain, including changes in the electromagnetic activity recorded with magnetoencephalography (MEG). An integrated overview of these changes, its relationship with clinical symptoms, and the influence of treatment is currently missing. Therefore, we systematically reviewed the MEG studies that have examined oscillatory activity and functional connectivity in the PD‐affected brain. The available articles could be separated into motor network‐focused and whole‐brain focused studies. Motor network studies revealed PD‐related changes in beta band (13–30 Hz) neurophysiological activity within and between several of its components, although it remains elusive to what extent these changes underlie clinical motor symptoms. In whole‐brain studies PD‐related oscillatory slowing and decrease in functional connectivity correlated with cognitive decline and less strongly with other markers of disease progression. Both approaches offer a different perspective on PD‐specific disease mechanisms and could therefore complement each other. Combining the merits of both approaches will improve the setup and interpretation of future studies, which is essential for a better understanding of the disease process itself and the pathophysiological mechanisms underlying specific PD symptoms, as well as for the potential to use MEG in clinical care.

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Section: Resultsmentioning

confidence: 99%

A systematic review of MEG‐based studies in Parkinson's disease: The motor system and beyond

Boon

Geraedts

Hillebrand

et al. 2019

Human Brain Mapping

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show abstract

“…While Whitmer et al (2012)s showed that DBS in STN suppresses motor cortical beta band power, others showed no effect of DBS on beta (13-30 Hz) or broadband gamma (50-200 Hz) oscillations (de Hemptinne et al, 2013;Rowland et al, 2015). The only two available studies using MEG and testing PD patients ON and OFF DBS in resting state also showed no effect of beta power at rest, though gamma power (34-38 Hz) was affected by DBS (Cao et al, 2015(Cao et al, , 2017. Another MEG study with early-stage PD patients showed no effect of dopaminergic medication on cortical beta power at rest (Pollok et al, 2012).…”

Section: Functional Importance Of Oscillations 241 Oscillations In mentioning

confidence: 99%

“…Analyzing magnetometer data in each of a set of very broadly defined regions (Elekta's default regions) separately in sensor space misses the nature of the particular topographical distributions of data from magnetometers (Hämäläinen et al, 1993). Secondly, Cao et al (2015Cao et al ( , 2017 only had a time gap of 10 minutes between switching off the stimulator and performing the DBS OFF measurement. By running a longer protocol with nearly 2 hours of washout measurements, we were able to capture the potential changes and stabilities in the oscillatory dynamics (and motor symptoms) over the washout phase.…”

Section: Study III How Do Treatments Modulate Oscillatory Dynamics Inmentioning

confidence: 99%

“…Firstly, Cao et al (2015Cao et al ( , 2017 used only magnetometers in their analyses, which measure a bipolar distribution of the underlying source (Hämäläinen et al, 1993). Analyzing magnetometer data in each of a set of very broadly defined regions (Elekta's default regions) separately in sensor space misses the nature of the particular topographical distributions of data from magnetometers (Hämäläinen et al, 1993).…”

Section: Study III How Do Treatments Modulate Oscillatory Dynamics Inmentioning

confidence: 99%

“…They have showed varied effects of treatments (Abbruzzese and Berardelli, 2003;Conte et al, 2013;Patel et al, 2014), triggering electrophysiological investigations on changes in the cortical and sub-cortical structures during motor tasks (Salenius et al, 2002;Brücke et al, 2008;Hirschmann et al, 2011Hirschmann et al, , 2013 Introduction Introduction suffers from methodological issues (Salenius et al, 2002;Park et al, 2009;Hirschmann et al, 2013;Airaksinen et al, 2015;Cao et al, 2015Cao et al, , 2017Oswal et al, 2016). …”

Section: Chapter -1 Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Neuromagnetic investigations of mechanisms and effects of STN-DBS and medication in Parkinson's disease

Sridharan¹

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Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy

Ye,

Bagić,

2023

Brain Topogr

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The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a resting state E/MEG analysis framework, to disentangle brain functional networks represented by neural oscillations. By using an Embedded Hidden Markov Model, we constructed a state space for resting state recordings consisting of brain states with different spatiotemporal patterns. Functional connectivity analysis along with graph theory was applied on the extracted brain states to quantify the network features of the extracted brain states, based on which the source location of pathological states is determined. The method is evaluated by computer simulations and our simulation results revealed the proposed framework can extract brain states with high accuracy regarding both spatial and temporal profiles. We further evaluated the framework as compared with intracranial EEG defined seizure onset zone in 10 patients with drug-resistant focal epilepsy who underwent MEG recordings and were seizure free after surgical resection. The real patient data analysis showed very good localization results using the extracted pathological brain states in 6/10 patients, with localization error of about 15 mm as compared to the seizure onset zone. We show that the pathological brain networks can be disentangled from the resting-state electromagnetic recording and could be identified based on the connectivity features. The framework can serve as a useful tool in extracting brain functional networks from noninvasive resting state electromagnetic recordings, and promises to offer an alternative to aid presurgical evaluation guiding intracranial EEG electrodes implantation.

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Resting State Cortical Oscillations of Patients With Parkinson Disease and With and Without Subthalamic Deep Brain Stimulation

Abstract: Subthalamic nucleus deep brain stimulation improves the symptoms of PD by suppressing the synchronization of alpha rhythm in somatomotor region.

Cited by 25 publications

References 44 publications

A systematic review of MEG‐based studies in Parkinson's disease: The motor system and beyond

A systematic review of MEG‐based studies in Parkinson's disease: The motor system and beyond

Neuromagnetic investigations of mechanisms and effects of STN-DBS and medication in Parkinson's disease

Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy

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