Stage-dependent patterns of disturbed neural synchrony in Parkinson's disease

Berendse, Henk W.; Stam, Cornelis J.

doi:10.1016/s1353-8020(08)70046-4

Cited by 38 publications

(31 citation statements)

References 24 publications

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“…The present results extend to source space and individually-determined frequency bands previous EEG evidence reported in groups of ADD and PDD patients [15,16,20,[68][69][70][71][72]. It has been shown a greater power in the posterior delta and theta rsEEG rhythms in groups of PDD patients when compared with those of ADD individuals [29,73].…”

Section: The Rseeg Markers Showing Differences Between the Nold Admcsupporting

confidence: 86%

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Babiloni

Percio

Lizio

et al. 2017

JAD

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Abstract. The aim of this retrospective and exploratory study was that the cortical sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms might reveal different abnormalities in cortical neural synchronization in groups of patients with mild cognitive impairment due to Alzheimer's disease (ADMCI) and Parkinson's disease (PDMCI) as compared to healthy subjects. Clinical and rsEEG data of 75 ADMCI, 75 PDMCI, and 75 cognitively normal elderly (Nold) subjects were available in an international archive. Age, gender, and education were carefully matched in the three groups. The Mini-Mental State Evaluation (MMSE) was matched between the ADMCI and PDMCI groups. Individual alpha frequency peak (IAF) was used to determine the delta, theta, alpha1, alpha2, and alpha3 frequency band ranges. Fixed beta1, beta2, and gamma bands were also considered. eLORETA estimated the rsEEG cortical sources. Receiver operating characteristic curve (ROC) classified these sources across individuals. Results showed that compared to the Nold group, the posterior alpha2 and alpha3 source activities were more abnormal in the ADMCI than the PDMCI group, while the parietal delta source activities were more abnormal in the PDMCI than the ADMCI group. The parietal delta and alpha sources correlated with MMSE score and correctly classified the Nold and diseased individuals (area under the ROC = 0.77-0.79). In conclusion, the PDMCI and ADMCI patients showed different features of cortical neural synchronization at delta and alpha frequencies underpinning brain arousal and vigilance in the quiet wakefulness. Future prospective cross-validation studies will have to test these rsEEG markers for clinical applications and drug discovery.

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Section: The Rseeg Markers Showing Differences Between the Nold Admcsupporting

confidence: 86%

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Babiloni

Percio

Lizio

et al. 2017

JAD

View full text Add to dashboard Cite

show abstract

“…Changes in demented PD may be reversible after cholinergic rather than dopaminergic treatment. This characteristic pattern of progressive neurophysiological changes in non-demented and demented PD patients could reflect the progressive involvement of different neurotransmitter systems, as well as subcortical and cortical Lewy body pathology, during the course of the disease [23].…”

Section: Resultsmentioning

confidence: 94%

“…When the feedback circuits in the thalamus work in isolation they can produce the faster sleep spindles of 14 Hz. Faster EEG rhythms such as beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and gamma (>30 Hz) are produced by feedback circuits between cortical pyramidal neurons and local inhibitory inter neurons. Some types of theta (4-8 Hz) may originate in medial temporal circuits and are projected to other parts of the cortex through projects from the hippocampus.…”

Section: Oscillations and Synchronizationmentioning

confidence: 99%

Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders

Stam

2010

Journal of the Neurological Sciences

239

178

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“…These results also provide one of the first noninvasive, stepwise analyses of the cortical motor pattern in patients with PD. Previous MEG and EEG studies have exclusively used the coarse analytical framework of scalp- and sensor-based analyses, which carry a number of limitations (Bosboom et al 2006, Berendse and Stam 2007; Stoffers et al 2007, 2008; Bosboom, Stoffers, Stam, et al 2009; Bosboom, Stoffers, Wolters, et al 2009; olde Dubbelink et al 2013). Furthermore, these studies have generally relied on measures of peak frequency, which are known to be highly variable across healthy persons and are nonquantitative.…”

Section: Discussionmentioning

confidence: 99%

Neuromagnetic Evidence of Abnormal Movement-Related Beta Desynchronization in Parkinson's Disease

Heinrichs‐Graham

Wilson

Santamaria³

et al. 2013

Cerebral Cortex

138

156

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Parkinson's disease (PD) is a neurodegenerative disorder associated with debilitating motor, posture, and gait abnormalities. Human studies recording local field potentials within the subthalamic nucleus and scalp-based electroencephalography have shown pathological beta synchronization throughout the cortical–basal ganglia motor network in PD. Suppression of such pathological beta synchronization has been associated with improved motor function, which may explain the effectiveness of deep-brain stimulation. We used magnetoencephalography (MEG) to investigate neural population-level beta responses, and other oscillatory activity, during a motor task in unmedicated patients with PD and a matched group of healthy adults. MEG is a noninvasive neurophysiological technique that permits the recording of oscillatory activity during movement planning, execution, and termination phases. Each of these phases was independently examined using beamforming to distinguish the brain areas and movement phases, where pathological oscillations exist during motor control. Patients with PD exhibited significantly diminished beta desynchronization compared with controls prior to and during movement, which paralleled reduced alpha desynchronization. This study is the first to systematically investigate neural oscillatory responses in PD during distinct stages of motor control (e.g. planning, execution, and termination) and indicates that these patients have significant difficulty suppressing cortical beta synchronization during movement planning, which may contribute to their diminished movement capacities.

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Stage-dependent patterns of disturbed neural synchrony in Parkinson's disease

Cited by 38 publications

References 24 publications

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders

Neuromagnetic Evidence of Abnormal Movement-Related Beta Desynchronization in Parkinson's Disease

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