Dysfunctional Brain Dynamics of Parkinson's Disease and the Effect of Acute Deep Brain Stimulation

Li, Zhibao; Ren, Guoping; Liu, Chong; Wang, Qiao; Liang, Kun; Han, Chunlei; Qiao, Hui; Zhang, Jianguo; Wang, Qun; Meng, Fangang

doi:10.3389/fnins.2021.697909

Cited by 5 publications

(5 citation statements)

References 53 publications

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“…Several studies have explored state-wise functional connectivity in different scenarios ( Comsa et al, 2019 ; Duc and Lee, 2019 ), but the connectivity pattern corresponding to each microstate class in the resting state is still unclear. In addition, according to previous studies, each microstate template has distinct topographic distribution and bright characteristics ( Michel and Koenig, 2018 ; Li et al, 2021 ; Zanesco et al, 2021 ). Therefore, we assumed that each microstate class corresponds to a unique pattern of functional connectivity.…”

Section: Introductionmentioning

confidence: 81%

EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics

et al. 2022

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The brain, as a complex dynamically distributed information processing system, involves the coordination of large-scale brain networks such as neural synchronization and fast brain state transitions, even at rest. However, the neural mechanisms underlying brain states and the impact of dysfunction following brain injury on brain dynamics remain poorly understood. To this end, we proposed a microstate-based method to explore the functional connectivity pattern associated with each microstate class. We capitalized on microstate features from eyes-closed resting-state EEG data to investigate whether microstate dynamics differ between subacute stroke patients (N = 31) and healthy populations (N = 23) and further examined the correlations between microstate features and behaviors. An important finding in this study was that each microstate class was associated with a distinct functional connectivity pattern, and it was highly consistent across different groups (including an independent dataset). Although the connectivity patterns were diminished in stroke patients, the skeleton of the patterns was retained to some extent. Nevertheless, stroke patients showed significant differences in most parameters of microstates A, B, and C compared to healthy controls. Notably, microstate C exhibited an opposite pattern of differences to microstates A and B. On the other hand, there were no significant differences in all microstate parameters for patients with left-sided vs. right-sided stroke, as well as patients before vs. after lower limb training. Moreover, support vector machine (SVM) models were developed using only microstate features and achieved moderate discrimination between patients and controls. Furthermore, significant negative correlations were observed between the microstate-wise functional connectivity and lower limb motor scores. Overall, these results suggest that the changes in microstate dynamics for stroke patients appear to be state-selective, compensatory, and related to brain dysfunction after stroke and subsequent functional reconfiguration. These findings offer new insights into understanding the neural mechanisms of microstates, uncovering stroke-related alterations in brain dynamics, and exploring new treatments for stroke patients.

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Section: Introductionmentioning

confidence: 81%

EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics

et al. 2022

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“…Recent research of acute post-operative DBS effect on brain dynamics 29 found no changes in EEG microstates exclusively caused by DBS; however, according to the authors, the stable and obvious effect of DBS on brain networks is a result of long-term treatment influence and neural plasticity 5,29,45 .…”

Section: Discussionmentioning

confidence: 99%

“…The effect of dopaminergic treatment was also reported 28 . To our knowledge, only one study describes EEG microstates in patients treated by DBS; 29 in that study, the explored effect of DBS was evaluated immediately in the first day of DBS treatment.…”

Section: Introductionmentioning

confidence: 99%

The effect of deep brain stimulation in Parkinson’s disease reflected in EEG microstates

Lamoš

Bočková

Goldemundová

et al. 2023

npj Parkinsons Dis.

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Mechanisms of deep brain stimulation (DBS) on cortical networks were explored mainly by fMRI. Advanced analysis of high-density EEG is a source of additional information and may provide clinically useful biomarkers. The presented study evaluates EEG microstates in Parkinson’s disease and the effect of DBS of the subthalamic nucleus (STN). The association between revealed spatiotemporal dynamics of brain networks and changes in oscillatory activity and clinical examination were assessed. Thirty-seven patients with Parkinson’s disease treated by STN-DBS underwent two sessions (OFF and ON stimulation conditions) of resting-state EEG. EEG microstates were analyzed in patient recordings and in a matched healthy control dataset. Microstate parameters were then compared across groups and were correlated with clinical and neuropsychological scores. Of the five revealed microstates, two differed between Parkinson’s disease patients and healthy controls. Another microstate differed between ON and OFF stimulation conditions in the patient group and restored parameters in the ON stimulation state toward to healthy values. The mean beta power of that microstate was the highest in patients during the OFF stimulation condition and the lowest in healthy controls; sources were localized mainly in the supplementary motor area. Changes in microstate parameters correlated with UPDRS and neuropsychological scores. Disease specific alterations in the spatiotemporal dynamics of large-scale brain networks can be described by EEG microstates. The approach can reveal changes reflecting the effect of DBS on PD motor symptoms as well as changes probably related to non-motor symptoms not influenced by DBS.

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“…2017 ). A prior study revealed that individuals with Parkinson’s disease exhibit prolonged MS durations and lower occurrences compared with healthy individuals ( Li et al. 2021b ).…”

Section: Discussionmentioning

confidence: 99%

EEG microstates analysis after TMS in patients with subacute stroke during the resting state

Zhang,

Yang,

Yao

et al. 2023

Cerebral Cortex

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To investigate whether intermittent theta burst stimulation over the cerebellum induces changes in resting-state electroencephalography microstates in patients with subacute stroke and its correlation with cognitive and emotional function. Twenty-four stroke patients and 17 healthy controls were included in this study. Patients and healthy controls were assessed at baseline, including resting-state electroencephalography and neuropsychological scales. Fifteen patients received lateral cerebellar intermittent theta burst stimulation as well as routine rehabilitation training (intermittent theta burst stimulation–RRT group), whereas 9 patients received only conventional rehabilitation training (routine rehabilitation training group). After 2 wk, baseline data were recorded again in both groups. Stroke patients exhibited reduced parameters in microstate D and increased parameters in microstate C compared with healthy controls. However, after the administration of intermittent theta burst stimulation over the lateral cerebellum, significant alterations were observed in the majority of metrics for both microstates D and C. Lateral cerebellar intermittent theta burst stimulation combined with conventional rehabilitation has a stronger tendency to improve emotional and cognitive function in patients with subacute stroke than conventional rehabilitation. The improvement of mood and cognitive function was significantly associated with microstates C and D. We identified electroencephalography microstate spatiotemporal dynamics associated with clinical improvement following a course of intermittent theta burst stimulation therapy.

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Dysfunctional Brain Dynamics of Parkinson's Disease and the Effect of Acute Deep Brain Stimulation

Cited by 5 publications

References 53 publications

EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics

EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics

The effect of deep brain stimulation in Parkinson’s disease reflected in EEG microstates

EEG microstates analysis after TMS in patients with subacute stroke during the resting state

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