Altered alpha and theta oscillations correlate with sequential working memory in Parkinson’s disease

Zheng, Yuxiao; Heldmann, Marcus; Herrmann, Lisa E.; Brüggemann, Norbert; Münte, Thomas F.

doi:10.1093/braincomms/fcac096

Cited by 12 publications

(10 citation statements)

References 64 publications

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“…These changes have been associated with cognitive processes that are necessary for successful cognitive performance. Theta oscillations were linked to cognitive processing, working memory, and selective attention [ 24 ]. Moreover, these changes in theta power were found to be associated with generating a coordinated response in terms of readiness.…”

Section: Introductionmentioning

confidence: 99%

EEG-Based Mapping of Resting-State Functional Brain Networks in Patients with Parkinson’s Disease

et al. 2022

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(1) Background: Directed functional connectivity (DFC) alterations within brain networks are described using fMRI. EEG has been scarcely used. We aimed to explore changes in DFC in the sensory-motor network (SMN), ventral-attention network (VAN), dorsal-attention network (DAN), and central-executive network (CEN) using an EEG-based mapping between PD patients and healthy controls (HCs). (2) Methods: Four-minutes resting EEG was recorded from 29 PD patients and 28 HCs. Network’s hubs were defined using fMRI-based binary masks and their electrical activity was calculated using the LORETA. DFC between each network’s hub-pairs was calculated for theta, alpha and beta bands using temporal partial directed coherence (tPDC). (3) Results: tPDCs percent was lower in the CEN and DAN in PD patients compared to HCs, while no differences were observed in the SMN and VAN (group*network: F = 5.943, p < 0.001) in all bands (group*band: F = 0.914, p = 0.401). However, in the VAN, PD patients showed greater tPDCs strength compared to HCs (p < 0.001). (4) Conclusions: Our results demonstrated reduced connectivity in the CEN and DAN, and increased connectivity in the VAN in PD patients. These results indicate a complex pattern of DFC alteration within major brain networks, reflecting the co-occurrence of impairment and compensatory mechanisms processes taking place in PD.

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Section: Introductionmentioning

confidence: 99%

EEG-Based Mapping of Resting-State Functional Brain Networks in Patients with Parkinson’s Disease

et al. 2022

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“…This would demonstrate that the behavior of the alpha band is dependent on the attention in external and internal environments; thus, when the user is exposed to a VR-based system, they would be evaluated under an external interference-free environment, allowing a higher memory capacity, if the activities require it [ 32 ]. Nonetheless, the PD disrupted the memory action [ 21 ]. It is possible that the increase in the activity during the games’ execution is associated with the memory actions but, due to the several behaviors that this band can exhibit in the PD, it is not possible to conclude from this study the cause of the results reported.…”

Section: Discussionmentioning

confidence: 99%

“…Although most of the studies found are directed to the analysis in healthy subjects, in patients with Parkinson’s disease, it was possible to observe the ability to maintain attention and satisfactorily execute each of the activities proposed for the study, regarding an increase in the activity of the beta band during the execution of the games. This allows the present work to be of interest to expand the study of VR technologies in people with PD [ 20 , 21 , 22 , 23 ].…”

Section: Discussionmentioning

confidence: 99%

“…After reviewing the literature, it was determined that alpha and beta were the bands that provided the most information for the analysis of functions such as memory, concentration, attention, and the ability to respond to visual stimuli. Alpha and beta bands allow us to see the influence of environmental stimuli on brain activity, with alpha being representative in the study of resting-state conditions and beta being representative of conditions of motor stimulation, so it is worthwhile to analyze these bands to understand the brain behavior of people with Parkinson’s disease [ 20 , 21 , 22 , 23 ]…”

Section: Materials and Methodsmentioning

confidence: 99%

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EEG Evaluation in a Neuropsychological Intervention Program Based on Virtual Reality in Adults with Parkinson’s Disease

et al. 2022

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Nowadays, several strategies for treating neuropsychologic function loss in Parkinson’s disease (PD) have been proposed, such as physical activity performance and developing games to exercise the mind. However, few studies illustrate the incidence of these therapies in neuronal activity. This work aims to study the feasibility of a virtual reality-based program oriented to the cognitive functions’ rehabilitation of PD patients. For this, the study was divided into intervention with the program, acquisition of signals, data processing, and results analysis. The alpha and beta bands’ power behavior was determined by evaluating the electroencephalography (EEG) signals obtained during the execution of control tests and games of the “Hand Physics Lab” Software, from which five games related to attention, planning, and sequencing, concentration, and coordination were taken. Results showed the characteristic performance of the cerebral bands during resting states and activity states. In addition, it was determined that the beta band increased its activity in all the cerebral lobes in all the tested games (p-value < 0.05). On the contrary, just one game exhibited an adequate performance of the alpha band activity of the temporal and frontal lobes (p-value < 0.02). Furthermore, the visual attention and the capacity to process and interpret the information given by the surroundings was favored during the execution of trials (p-value < 0.05); thus, the efficacy of the virtual reality program to recover cognitive functions was verified. The study highlights implementing new technologies to rehabilitate people with neurodegenerative diseases.

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“…Similar patterns of EEG slowing have been observed in several mouse models of PD [13][14][15] . Interestingly, particular EEG changes, such as theta power during wake, have been associated with cognitive performance, including in PD 10,[16][17][18][19] . Together, these findings suggest the pathologic changes of PD are accompanied by specific EEG changes, which may therefore serve as important diagnostic, phenotypic, and prognostic disease activity markers.…”

Section: Introductionmentioning

confidence: 99%

Disrupted sleep-wake regulation in the MCI-Park mouse model of Parkinson’s disease

Summa,

Jiang,

González-Rodríguez

et al. 2023

Preprint

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Disrupted sleep has a profound adverse impact on lives of Parkinson’s disease (PD) patients and their caregivers. Sleep disturbances are exceedingly common in PD, with substantial heterogeneity in type, timing, and severity. Among the most common sleep-related symptoms reported by PD patients are insomnia, excessive daytime sleepiness, and sleep fragmentation, characterized by interruptions and decreased continuity of sleep. Alterations in brain wave activity, as measured on the electroencephalogram (EEG), also occur in PD, with changes in the pattern and relative contributions of different frequency bands of the EEG spectrum to overall EEG activity in different vigilance states consistently observed. The mechanisms underlying these PD-associated sleep-wake abnormalities are poorly understood, and they are ineffectively treated by conventional PD therapies. To help fill this gap in knowledge, a new progressive model of PD – the MCI-Park mouse – was studied. Near the transition to the parkinsonian state, these mice exhibited significantly altered sleep-wake regulation, including increased wakefulness, decreased non-rapid eye movement (NREM) sleep, increased sleep fragmentation, reduced rapid eye movement (REM) sleep, and altered EEG activity patterns. These sleep-wake abnormalities mirror those identified in PD patients. Thus, this model may help elucidate the circuit mechanisms underlying sleep disruption in PD and identify targets for novel therapeutic approaches.

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Altered alpha and theta oscillations correlate with sequential working memory in Parkinson’s disease

Cited by 12 publications

References 64 publications

EEG-Based Mapping of Resting-State Functional Brain Networks in Patients with Parkinson’s Disease

EEG-Based Mapping of Resting-State Functional Brain Networks in Patients with Parkinson’s Disease

EEG Evaluation in a Neuropsychological Intervention Program Based on Virtual Reality in Adults with Parkinson’s Disease

Disrupted sleep-wake regulation in the MCI-Park mouse model of Parkinson’s disease

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