Oscillations of pause-burst neurons in the STN correlate with the severity of motor signs in Parkinson's disease

Background. Oscillatory activity in the subthalamic nucleus (STN) in Parkinson's disease (PD) is under extensive study. While rhythmic features of local field potentials are implicated in the manifestation of PD motor signs, less is known about single unit activity (SUA). SUA parameters inside the STN show significant heterogeneity, and various firing patterns may contribute unequally to PD pathophysiology. Objectives. We searched for correlations between SUA parameters and PD motor signs, taking neuronal activity patterns into account. Methods. 829 spike trains for STN SUA were recorded during 25 DBS surgeries. We have isolated three firing patterns (tonic, irregular burst and pause-burst) and, using mixed linear models, examined several ISI parameters and burst descriptors (for the last two patterns) for their correlation with the UPDRS 3 score and bradykinesia and rigidity scores on the contralateral body side. Results. The predominance of pause-burst as opposed to tonic activity was associated with an increase in UPDRS 3 score. Oscillation scores in the alpha range correlated with bradykinesia and rigidity scores, and oscillation scores in the beta range correlated with bradykinesia score only for pause-burst neurons, while other patterns showed no correlation with PD motor signs. There was also significant negative correlation between bradykinesia score and theta oscillations for pause-burst pattern. Conclusions. Pause-burst pattern and rhythmic neurons oscillating in the alpha range may affect motor processing in the basal ganglia more prominently than other activity patterns, probably reflecting progressive switching from tonic to burst to rhythmic activity in the parkinsonian state.

Download Full-text

A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson’s disease

Cognitive Neurodynamics ◽

10.1007/s11571-020-09653-y ◽

2020 ◽

Author(s):

Eva M. Navarro-López ◽

Utku Çelikok ◽

Neslihan S. Şengör

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Activity Patterns ◽

Dynamical Model ◽

Substantia Nigra Pars Compacta ◽

Oscillatory Activity ◽

Subcortical Structures ◽

Neuron Models ◽

Neuronal Patterns

AbstractWe propose to investigate brain electrophysiological alterations associated with Parkinson’s disease through a novel adaptive dynamical model of the network of the basal ganglia, the cortex and the thalamus. The model uniquely unifies the influence of dopamine in the regulation of the activity of all basal ganglia nuclei, the self-organised neuronal interdependent activity of basal ganglia-thalamo-cortical circuits and the generation of subcortical background oscillations. Variations in the amount of dopamine produced in the neurons of the substantia nigra pars compacta are key both in the onset of Parkinson’s disease and in the basal ganglia action selection. We model these dopamine-induced relationships, and Parkinsonian states are interpreted as spontaneous emergent behaviours associated with different rhythms of oscillatory activity patterns of the basal ganglia-thalamo-cortical network. These results are significant because: (1) the neural populations are built upon single-neuron models that have been robustly designed to have eletrophysiologically-realistic responses, and (2) our model distinctively links changes in the oscillatory activity in subcortical structures, dopamine levels in the basal ganglia and pathological synchronisation neuronal patterns compatible with Parkinsonian states, this still remains an open problem and is crucial to better understand the progression of the disease.

Download Full-text

Intraoperative localization of spatially and spectrally distinct resting-state networks in Parkinson’s disease

Journal of Neurosurgery ◽

10.3171/2018.11.jns181684 ◽

2020 ◽

Vol 132 (4) ◽

pp. 1234-1242 ◽

Cited By ~ 1

Author(s):

Paolo Belardinelli ◽

Ramin Azodi-Avval ◽

Erick Ortiz ◽

Georgios Naros ◽

Florian Grimm ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Network Effects ◽

Brain Activity ◽

Dynamic Imaging ◽

Oscillatory Activity ◽

Network Information ◽

Novel Approach ◽

Electrophysiological Recordings ◽

Intraoperative Localization

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for symptomatic Parkinson’s disease (PD); the clinical benefit may not only mirror modulation of local STN activity but also reflect consecutive network effects on cortical oscillatory activity. Moreover, STN-DBS selectively suppresses spatially and spectrally distinct patterns of synchronous oscillatory activity within cortical-subcortical loops. These STN-cortical circuits have been described in PD patients using magnetoencephalography after surgery. This network information, however, is currently not available during surgery to inform the implantation strategy.The authors recorded spontaneous brain activity in 3 awake patients with PD (mean age 67 ± 14 years; mean disease duration 13 ± 7 years) during implantation of DBS electrodes into the STN after overnight withdrawal of dopaminergic medication. Intraoperative propofol was discontinued at least 30 minutes prior to the electrophysiological recordings. The authors used a novel approach for performing simultaneous recordings of STN local field potentials (LFPs) and multichannel electroencephalography (EEG) at rest. Coherent oscillations between LFP and EEG sensors were computed, and subsequent dynamic imaging of coherent sources was performed.The authors identified coherent activity in the upper beta range (21–35 Hz) between the STN and the ipsilateral mesial (pre)motor area. Coherence in the theta range (4–6 Hz) was detected in the ipsilateral prefrontal area.These findings demonstrate the feasibility of detecting frequency-specific and spatially distinct synchronization between the STN and cortex during DBS surgery. Mapping the STN with this technique may disentangle different functional loops relevant for refined targeting during DBS implantation.

Download Full-text

Faculty Opinions recommendation of Oscillatory activity and cortical coherence of the nucleus basalis of Meynert in Parkinson's disease dementia.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.733079662.793547927 ◽

2018 ◽

Author(s):

John Caviness

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Nucleus Basalis ◽

Nucleus Basalis Of Meynert ◽

Oscillatory Activity ◽

Parkinson’S Disease Dementia

Download Full-text

The Incidence of Parkinson's Disease: A Systematic Review and Meta-Analysis

Neuroepidemiology ◽

10.1159/000445751 ◽

2016 ◽

Vol 46 (4) ◽

pp. 292-300 ◽

Cited By ~ 171

Author(s):

Lauren Hirsch ◽

Nathalie Jette ◽

Alexandra Frolkis ◽

Thomas Steeves ◽

Tamara Pringsheim

Keyword(s):

Systematic Review ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Neurodegenerative Disorder ◽

Meta Analysis ◽

Age Groups ◽

Significant Heterogeneity ◽

International Studies ◽

Significant Difference ◽

And Gender

Background: Parkinson's disease (PD) is a common neurodegenerative disorder. Epidemiological studies on the incidence of PD are important to better understand the risk factors for PD and determine the condition's natural history. Objective: This systematic review and meta-analysis examine the incidence of PD and its variation by age and gender. Methods: We searched MEDLINE and EMBASE for epidemiologic studies of PD from 2001 to 2014, as a previously published systematic review included studies published until 2001. Data were analyzed separately for age group and gender, and meta-regression was used to determine whether a significant difference was present between groups. Results: Twenty-seven studies were included in the analysis. Meta-analysis of international studies showed rising incidence with age in both men and women. Significant heterogeneity was observed in the 80+ group, which may be explained by methodological differences between studies. While males had a higher incidence of PD in all age groups, this difference was only statistically significant for those in the age range 60-69 and 70-79 (p < 0.05). Conclusion: PD incidence generally increases with age, although it may stabilize in those who are 80+.

Download Full-text

Oscillatory activity and cortical coherence of the nucleus basalis of Meynert in Parkinson's disease dementia

Parkinsonism & Related Disorders ◽

10.1016/j.parkreldis.2018.03.024 ◽

2018 ◽

Vol 52 ◽

pp. 102-106 ◽

Cited By ~ 1

Author(s):

Muhammad Nazmuddin ◽

D.L.Marinus Oterdoom ◽

J. Marc C. van Dijk ◽

Jonathan C. van Zijl ◽

Anne K. Kampman ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Nucleus Basalis ◽

Nucleus Basalis Of Meynert ◽

Oscillatory Activity ◽

Parkinson’S Disease Dementia

Download Full-text

Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models

Frontiers in Integrative Neuroscience ◽

10.3389/fnint.2012.00028 ◽

2012 ◽

Vol 6 ◽

Cited By ~ 5

Author(s):

Uri T. Eden ◽

John T. Gale ◽

Ramin Amirnovin ◽

Emad N. Eskandar

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Subthalamic Nucleus ◽

Generalized Linear Models ◽

Linear Models

Download Full-text

Oscillatory activity in the pedunculopontine area of patients with Parkinson's disease

Experimental Neurology ◽

10.1016/j.expneurol.2008.01.002 ◽

2008 ◽

Vol 211 (1) ◽

pp. 59-66 ◽

Cited By ~ 67

Author(s):

Alexandros G. Androulidakis ◽

Paolo Mazzone ◽

Vladimir Litvak ◽

Will Penny ◽

Michele Dileone ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Oscillatory Activity

Download Full-text

Elevated HDL Levels Linked to Poorer Cognitive Ability in Females With Parkinson’s Disease

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.656623 ◽

2021 ◽

Vol 13 ◽

Author(s):

Megan C. Bakeberg ◽

Anastazja M. Gorecki ◽

Jade E. Kenna ◽

Alexa Jefferson ◽

Michelle Byrnes ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Function ◽

Cognitive Performance ◽

Linear Models ◽

Low Density Lipoprotein ◽

Density Lipoprotein ◽

Cognitive Status ◽

Cross Sectional ◽

Age Related

IntroductionCholesterol levels have been associated with age-related cognitive decline, however, such an association has not been comprehensively explored in people with Parkinson’s disease (PD). To address this uncertainty, the current cross-sectional study examined the cholesterol profile and cognitive performance in a cohort of PD patients.MethodsCognitive function was evaluated using two validated assessments (ACE-R and SCOPA-COG) in 182 people with PD from the Australian Parkinson’s Disease Registry. Total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and Triglyceride (TRG) levels were examined within this cohort. The influence of individual lipid subfractions on domain-specific cognitive performance was investigated using covariate-adjusted generalised linear models.ResultsFemales with PD exhibited significantly higher lipid subfraction levels (TC, HDL, and LDL) when compared to male counterparts. While accounting for covariates, HDL levels were strongly associated with poorer performance across multiple cognitive domains in females but not males. Conversely, TC and LDL levels were not associated with cognitive status in people with PD.ConclusionHigher serum HDL associates with poorer cognitive function in females with PD and presents a sex-specific biomarker for cognitive impairment in PD.

Download Full-text