Deep brain stimulation modulates synchrony within spatially and spectrally distinct resting state networks in Parkinson’s disease

Oswal, Ashwini; Beudel, Martijn; Zrinzo, Ludvic; Limousin, Patricia; Hariz, Marwan; Foltynie, Tom; Litvak, Vladimir; Brown, Peter

doi:10.1093/brain/aww048

Cited by 233 publications

(293 citation statements)

References 79 publications

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“…While β oscillations have dominated the discussion of the pathophysiology of PD, recent studies suggest that the power of these oscillations may not be as important as their coupling with other neural activity both within or across nodes of the motor BGTC circuit, whether in the form of phase amplitude coupling (PAC), coherence, or phase synchronization (de Hemptinne et al, 2013, 2015; Oswal et al, 2016; Ozkurt et al, 2011; Swann et al, 2015; Weiss et al, 2015; van Wijk et al, 2016; Yang et al, 2014). β-broadband γ PAC in the motor cortex (M1) is exaggerated in patients with PD compared to patients with epilepsy or healthy controls and these coupling patterns change with pathological state (de Hemptinne et al, 2013; Swann et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Therapeutic DBS reduces and nearly eliminates the coupling within M1 motor cortex (de Hemptinne et al, 2015) as does dopaminergic therapy (Swann et al, 2015). Moreover, a recent report shows that STN DBS not only modulates local STN β oscillations, but also suppresses coherence between motor cortices and STN (Oswal et al, 2016). These findings all suggest that pathologic coupling across nodes in the BGTC network may impair normal network function.…”

Section: Introductionmentioning

confidence: 99%

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Pallidal low β-low γ phase-amplitude coupling inversely correlates with Parkinson disease symptoms

Tsiokos

Malekmohammadi

AuYong

et al. 2017

Clinical Neurophysiology

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Objective Recent discoveries suggest that it is most likely the coupling of β oscillations (13–30 Hz) and not merely their power that relates to Parkinson disease (PD) pathophysiology. Methods We analyzed power and phase amplitude coupling (PAC) in local field potentials (LFP) recorded from Pallidum after placement of deep brain stimulation (DBS) leads in nineteen PD patients and three patients with dystonia. Results Within GPi, we identified PAC between phase of β and amplitude of high frequency oscillations (200–300 Hz) and distinct β-low γ (40–80 Hz) PAC both modulated by contralateral movement. Resting β-low γ PAC, also present in dystonia patients, inversely correlated with severity of rigidity and bradykinesia (R=−0.44, P=0.028). These findings were specific to the low β band, suggesting a differential role for the two β sub-bands. Conclusions PAC is present across distinct frequency bands within the GPi. Given the presence of low β-low γ PAC in dystonia and the inverse correlation with symptom severity, we propose that this PAC may be a normal pallidal signal. Significance This study provides new evidence on the pathophysiological contribution of local pallidal coupling and suggests similar and distinct patterns of coupling within GPi and STN in PD.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pallidal low β-low γ phase-amplitude coupling inversely correlates with Parkinson disease symptoms

Tsiokos

Malekmohammadi

AuYong

et al. 2017

Clinical Neurophysiology

View full text Add to dashboard Cite

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“…Cortical sensorimotor gamma is elevated in PD patients compared to essential tremor and dystonia patients during rest (Crowell et al, 2012;Rowland et al, 2015), hinting at the possibility that the cortical neuronal populations are held at an active state to compensate for the antikinetic beta synchrony in BG (Rowland et al, 2015). In a recent study, it was shown that STN-DBS specifically suppressed the pathological beta synchrony between STN and mesial sensorimotor areas rather than lateral areas (Oswal et al, 2016), and this effect may be driven through the hyperdirect pathway (Gradinaru et al, 2009). We therefore speculate that our observed effect of DBS on low-gamma could be driven via the hyperdirect pathway through the cortico-subcortical functional coupling between the mesial sensorimotor areas and STN.…”

Section: Study III How Do Treatments Modulate Oscillatory Dynamics Inmentioning

confidence: 99%

“…They have showed varied effects of treatments (Abbruzzese and Berardelli, 2003;Conte et al, 2013;Patel et al, 2014), triggering electrophysiological investigations on changes in the cortical and sub-cortical structures during motor tasks (Salenius et al, 2002;Brücke et al, 2008;Hirschmann et al, 2011Hirschmann et al, , 2013 Introduction Introduction suffers from methodological issues (Salenius et al, 2002;Park et al, 2009;Hirschmann et al, 2013;Airaksinen et al, 2015;Cao et al, 2015Cao et al, , 2017Oswal et al, 2016). …”

Section: Chapter -1 Introductionmentioning

confidence: 99%

Neuromagnetic investigations of mechanisms and effects of STN-DBS and medication in Parkinson's disease

Sridharan¹

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“…As with all LFP analysis it is difficult to relate these identified changes of the β band to the underlying biology. The current consensus opinion is that the rise in β band activity is related to synchronous oscillatory activity in the cortico-basal ganglia circuits [62].…”

Section: Introductionmentioning

confidence: 99%

Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials

Varghese¹

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Deep Brain Stimulation (DBS) surgery for neuro-psychiatric disorders involves the insertion of Micro Electrode Recording (MER) targeting probes into a specific location in the patient's brain to confirm the precise location of the candidate nucleus for the stimulation therapy.The unique geometry and electrical properties of these MERs probes, when inserted into neuron dense tissue such as the Sub-thalamic Nucleus (STN) results in the acquisition of signals which typically contain contributions from the spiking behaviour of multiple nearby neurons in addition to a low frequency component similar to the Local Field Potentials (LFP) generated by more distant neurons (over length scales smaller than typical LFPs). We refer to these signals acquired from the MER probes, which contain both some of the nearby (resolvable) spikes and these smaller scale LFPs as very Local Field Potentials (vLFPs).The unique signal contributions to the vLFPs raise the immediate question what contribution of the signal is best used in order to characterise (in terms of identifying the underlying physiology or detecting changes of) the state of the STN. In this thesis we develop methodologies to analyse vLFPs using both model based and model free analysis of the entire (nearby spiking, distant spiking and non-spiking contributions) vLFP and only the nearby spiking neurons.We apply concepts from Mori-Zwanzig non-equillibrium kinetic theory to develop modelfree estimates of the entire vLFP. With this approach we show that the Non-Markov Parameter (NMP) can be used to identify statistically significant changes in the electrical behaviour of the STN when presented with different neuro-linguistic stimuli. We show that these changes are due to variations in the low frequency bands associated with the power spectrum of the vLFP.We then develop a model-based analysis of the entire vLFP using the renewal theory of stochastic processes. We show that when the ensemble of neural processes forming the vLFP satisfy the assumptions of an independent renewal process model, given a measurement of ii the power spectrum, the common probability distribution driving the spiking statistics of the individual neurons can be identified. We show with simulation that, when the assumptions of the model are satisfied, this approach can outperform state of the art spike sorting algorithms in the challenging situation of identifying the spiking statistics when an unknown number of neurons with near identical spike shapes contribute to the vLFP.Finally we develop spike-only analysis by constructing spike sorting strategies using convex optimisation and clustering theory to identify the precise timing and shapes of the spikes associated with individual neurons nearby to the MER probe. With this approach the spike detection and clustering is performed using a Basis Pursuit De-Noising (BPDN) strategy which is a subset of ℓ 1 regularised least squares techniques. We show that this method outperforms state of the art spike sorting algorithms for a range of signal to n...

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Deep brain stimulation modulates synchrony within spatially and spectrally distinct resting state networks in Parkinson’s disease

Cited by 233 publications

References 79 publications

Pallidal low β-low γ phase-amplitude coupling inversely correlates with Parkinson disease symptoms

Pallidal low β-low γ phase-amplitude coupling inversely correlates with Parkinson disease symptoms

Neuromagnetic investigations of mechanisms and effects of STN-DBS and medication in Parkinson's disease

Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials

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