Frontal theta and beta oscillations during lower-limb movement in Parkinson’s disease

Singh, Anneliese A.; Cole, Rachel C; Espinoza, Arturo I.; Brown, Darin R.; Cavanagh, James F.; Narayanan, Nandakumar S.

doi:10.1016/j.clinph.2019.12.399

Cited by 81 publications

(141 citation statements)

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“…Subjects were recruited from the Iowa City community and the University of Iowa Seniors Together in Aging Research Registry. The motor and cognitive deficits thought to be related to theta oscillations are typically found in a patient populations such as PD (Singh, et al, 2018;Singh, et al, 2020). The average age of initial onset for PD is 60, so baseline network activity was determined in a non-patient population within a similar age group, to better understand how these networks are affected in a comparable control group, prior to examining them in a patient population with network dysfunction.…”

Section: Participantsmentioning

confidence: 99%

“…Similar to our previous study (Singh, et al, 2020), a pedaling motor task was used to study lower-limb motor control. Participants were instructed to start pedaling upon seeing the GO cue and to stop the pedals in the starting position after one rotation until the next GO cue.…”

Section: Lower-limb Pedaling Motor Task and Analysismentioning

confidence: 99%

“…We used a figure-of-eight TMS coil (MC-B70) connected to a MagVenture (MagVenture, Inc., Alpharetta GA) Stimulator (MagPro X100) in both active and sham stimulation conditions over the midfrontal ("Cz" vertex) region according the EEG 10/20 electrode position. We selected the midfrontal location for the TMS to modulate theta oscillations in the target and connected regions (Singh, et al, 2018;Singh, et al, 2020). Previous studies have demonstrtated that stimulation over the vertex can increase leg motor cortex excitability bilaterally, and induce most stable responses in the leg motor area (Rothwell, et al, 1991;Terao, et al, 1994;Kesar, et al, 2018;Ghosh, et al, 2019).…”

Section: Active and Sham Tms To The Midfrontal Regionmentioning

confidence: 99%

“…Preprocessed (epoched) signals were used for time-frequency analysis by complex Morlet wavelets, as explained previously (Singh, et al, 2018;Singh, et al, 2019;Singh, et al, 2020).…”

Section: Eeg Postprocessing Analysismentioning

confidence: 99%

“…Increasing evidence has shown the role of cortical oscillations in conveying information within motor and cognitive control networks (Buzsaki and Draguhn, 2004;Helfrich and Knight, 2016;Singh, 2018;Singh, et al, 2018). Within the motor and cognitive research field, midfrontal theta, beta, and gamma oscillations have been associated with motor tasks with cognitive recruitment such as gait or lower-limb movements (Seeber, et al, 2014;Peterson and Ferris, 2018;Singh, et al, 2020). Motor and cognitive control networks are impaired in movement disorders, such as in Parkinson's disease (PD) patients, and have been linked to attenuated midfrontal theta, and increased beta oscillations during lower-limb pedaling motor tasks (Singh, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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TMS bursts can modulate local and networks oscillations during lower-limb movement

Espinoza

Scholl

Singh

2020

Preprint

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High order lower-limb functions involve processing information via motor and cognitive control networks. Measuring oscillations is a key element in communication within and between cortical networks during high order motor functions. Increased midfrontal theta oscillations are related to improved lower-limb motor performances in patients with movement disorders. Non-invasive neuromodulation approaches have not been explored extensively to understand the oscillatory mechanism of lower-limb motor functions. Transcranial magnetic stimulation (TMS) bursts (4 pulses) were applied to the midfrontal lead (vertex) before a GO-Cue pedaling task, to examine the effects on local and network electroencephalogram oscillations in healthy elderly subjects. TMS bursts increased the theta activity in the local, as well as the associated network during the lower-limb pedaling task. TMS bursts increased the midfrontal cue-triggered post-imperative negative variation component. Furthermore, after task-related TMS bursts sessions, increased resting-state alpha activity was observed in the midfrontal region. TMS burst-induced changes have been associated with improvement in motor performance with cognitive control. Our study suggests the ability of midfrontal TMS bursts to directly modulate local and network oscillations in a frequency manner during lower-limb motor task. TMS bursts-induced modulation may provide insights into the functional roles of oscillatory activity during lower-limb movement in normal and disease conditions.

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Section: Participantsmentioning

confidence: 99%

Section: Lower-limb Pedaling Motor Task and Analysismentioning

confidence: 99%

Section: Active and Sham Tms To The Midfrontal Regionmentioning

confidence: 99%

“…Preprocessed (epoched) signals were used for time-frequency analysis by complex Morlet wavelets, as explained previously (Singh, et al, 2018;Singh, et al, 2019;Singh, et al, 2020).…”

Section: Eeg Postprocessing Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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TMS bursts can modulate local and networks oscillations during lower-limb movement

Espinoza

Scholl

Singh

2020

Preprint

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Identification of Parkinson's Disease Subtypes from Resting‐State Electroencephalography

et al. 2023

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BackgroundParkinson's disease (PD) patients present with a heterogeneous clinical phenotype, including motor, cognitive, sleep, and affective disruptions. However, this heterogeneity is often either ignored or assessed using only clinical assessments.ObjectivesWe aimed to identify different PD sub‐phenotypes in a longitudinal follow‐up analysis and their electrophysiological profile based on resting‐state electroencephalography (RS‐EEG) and to assess their clinical significance over the course of the disease.MethodsUsing electrophysiological features obtained from RS‐EEG recordings and data‐driven methods (similarity network fusion and source‐space spectral analysis), we have performed a clustering analysis to identify disease sub‐phenotypes and we examined whether their different patterns of disruption are predictive of disease outcome.ResultsWe showed that PD patients (n = 44) can be sub‐grouped into three phenotypes with distinct electrophysiological profiles. These clusters are characterized by different levels of disruptions in the somatomotor network (Δ and β band), the frontotemporal network (α2 band) and the default mode network (α1 band), which consistently correlate with clinical profiles and disease courses. These clusters are classified into either moderate (only‐motor) or mild‐to‐severe (diffuse) disease. We showed that EEG features can predict cognitive evolution of PD patients from baseline, when the cognitive clinical scores were overlapped.ConclusionsThe identification of novel PD subtypes based on electrical brain activity signatures may provide a more accurate prognosis in individual patients in clinical practice and help to stratify subgroups in clinical trials. Innovative profiling in PD can also support new therapeutic strategies that are brain‐based and designed to modulate brain activity disruption. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

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Investigating the Brain Mechanisms of Externally Cued Sit‐to‐Stand Movement in Parkinson's Disease

Mustile,

Kourtis,

Ladouce

et al. 2024

Movement Disorders

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BackgroundOne of the more challenging daily‐life actions for Parkinson's disease patients is starting to stand from a sitting position. Parkinson's disease patients are known to have difficulty with self‐initiated movements and benefit from external cues. However, the brain processes underlying external cueing as an aid remain unknown. The advent of mobile electroencephalography (EEG) now enables the investigation of these processes in dynamic sit‐to‐stand movements.ObjectiveTo identify cortical correlates of the mechanisms underlying auditory cued sit‐to‐stand movement in Parkinson's disease.MethodsTwenty‐two Parkinson's disease patients and 24 healthy age‐matched participants performed self‐initiated and externally cued sit‐to‐stand movements while cortical activity was recorded through 32‐channel mobile EEG.ResultsOverall impaired integration of sensory and motor information can be seen in the Parkinson's disease patients exhibiting less modulation in the θ band during movement compared to healthy age‐matched controls. How Parkinson's disease patients use external cueing of sit‐to‐stand movements can be seen in larger high β power over sensorimotor brain areas compared to healthy controls, signaling sensory integration supporting the maintenance of motor output. This appears to require changes in cognitive processing to update the motor plan, reflected in frontal θ power increases in Parkinson's disease patients when cued.ConclusionThese findings provide the first neural evidence for why and how cueing improves motor function in sit‐to‐stand movement in Parkinson's disease. The Parkinson's disease patients' neural correlates indicate that cueing induces greater activation of motor cortical areas supporting the maintenance of a more stable motor output, but involves the use of cognitive resources to update the motor plan. © 2024 International Parkinson and Movement Disorder Society.

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Frontal theta and beta oscillations during lower-limb movement in Parkinson’s disease

Cited by 81 publications

References 72 publications

TMS bursts can modulate local and networks oscillations during lower-limb movement

TMS bursts can modulate local and networks oscillations during lower-limb movement

Identification of Parkinson's Disease Subtypes from Resting‐State Electroencephalography

Investigating the Brain Mechanisms of Externally Cued Sit‐to‐Stand Movement in Parkinson's Disease

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