Functional and effective connectivity in subthalamic local field potential recordings of patients with Parkinson’s disease

Hohlefeld, Friederike U.; Huchzermeyer, Christine; Huebl, Julius; Schneider, Gerd‐Helge; Nolte, Guido; Brücke, Christof; Schönecker, Thomas; Kühn, Andrea A.; Curio, Gabriel; Nikulin, Vadim V.

doi:10.1016/j.neuroscience.2013.07.028

Cited by 33 publications

(44 citation statements)

References 64 publications

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“…The beta-band functional connectivity observed within the STN tallies well-with earlier work, indicating that this synchronization reflects a pathological marker for different motor features of PD (Pogosyan et al, 2010; Hohlefeld et al, 2013). We also located the most prominent phase synchronization in the dorsal, sensorimotor part of the STN (Pogosyan et al, 2010), i.e., the area known to be clinically most effective in suppressing PD symptoms during DBS (Herzog et al, 2004; Yokoyama et al, 2006; Schlaier et al, 2014).…”

Section: Discussionsupporting

confidence: 85%

“…Thereby, it is more sensitive to detect true phase interaction as compared to common phase measurements such as the imaginary part of coherence (Nolte et al, 2004). The value of WPLI was standardized by an estimate of its standard deviation and values beyond threshold of 3 (corresponding p < 0.003) were considered statistically significant (Nolte et al, 2004; Hohlefeld et al, 2013, 2014). This statistically significant frequency range (see Figure 2B) was used for further analysis, i.e., phase extraction.…”

Section: Methodsmentioning

confidence: 99%

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Phase-dependent modulation as a novel approach for therapeutic brain stimulation

Azodi-Avval

Gharabaghi

2015

Front. Comput. Neurosci.

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Closed-loop paradigms provide us with the opportunity to optimize stimulation protocols for perturbation of pathological oscillatory activity in brain-related disorders. In this vein, spiking activity of motor cortex neurons and beta activity of local field potentials in the subthalamic nucleus have both been used independently of each other as neuronal signals to trigger deep brain stimulation for alleviating Parkinsonism. These approaches were superior to the standard continuous high-frequency stimulation protocols used in daily practice. However, they achieved their effects by bursts of stimulation that were applied at high-frequency as well, i.e., independent of the phase information in the stimulated region. In this context, we propose that, by timing stimulation pulses relative to the ongoing oscillation, an alternative approach, namely the targeted perturbation of pathological rhythms, could be obtained. In this modeling study, we first captured the underlying dynamics of neuronal oscillations in the human subthalamic nucleus by phased coupled neuronal oscillators. We then quantified the nature of the interaction between these coupled oscillators by obtaining a physiologically informed phase response curve from local field potentials. Reconstruction of the phase response curve predicted the sensitivity of the phase oscillator to external stimuli, revealing phase intervals that optimally maximized the degree of perturbation. We conclude that our specifically timed intervention based on the coupled oscillator concept will enable us to identify personalized ways of delivering stimulation pulses in closed-loop paradigms triggered by the phase of pathological oscillations. This will pave the way for novel physiological insights and substantial clinical benefits. In addition, this precisely phased modulation may be capable of modifying the effective interactions between oscillators in an entirely new manner.

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Section: Discussionsupporting

confidence: 85%

Section: Methodsmentioning

confidence: 99%

Phase-dependent modulation as a novel approach for therapeutic brain stimulation

Azodi-Avval

Gharabaghi

2015

Front. Comput. Neurosci.

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“…In this case, we also performed a robust averaging (Litvak et al, 2012). Finally, we computed the absolute value of the coherency (i.e., the coherence Coh) and the imaginary part of the coherency (iCoh) to isolate the part of coherency possibly affected by volume conduction (Nolte et al, 2004, 2008; Hohlefeld et al, 2013). …”

Section: Methodsmentioning

confidence: 99%

Striatal Dopaminergic Innervation Regulates Subthalamic Beta-Oscillations and Cortical-Subcortical Coupling during Movements: Preliminary Evidence in Subjects with Parkinson’s Disease

Canessa¹,

Pozzi²,

Arnulfo³

et al. 2016

Front. Hum. Neurosci.

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Activation of the basal ganglia has been shown during the preparation and execution of movement. However, the functional interaction of cortical and subcortical brain areas during movement and the relative contribution of dopaminergic striatal innervation remains unclear. We recorded local field potential (LFP) activity from the subthalamic nucleus (STN) and high-density electroencephalography (EEG) signals in four patients with Parkinson’s disease (PD) off dopaminergic medication during a multi-joint motor task performed with their dominant and non-dominant hand. Recordings were performed by means of a fully-implantable deep brain stimulation (DBS) device at 4 months after surgery. Three patients also performed a single-photon computed tomography (SPECT) with [123I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane (FP-CIT) to assess striatal dopaminergic innervation. Unilateral movement execution led to event-related desynchronization (ERD) followed by a rebound after movement termination event-related synchronization (ERS) of oscillatory beta activity in the STN and primary sensorimotor cortex of both hemispheres. Dopamine deficiency directly influenced movement-related beta-modulation, with greater beta-suppression in the most dopamine-depleted hemisphere for both ipsi- and contralateral hand movements. Cortical-subcortical, but not interhemispheric subcortical coherencies were modulated by movement and influenced by striatal dopaminergic innervation, being stronger in the most dopamine-depleted hemisphere. The data are consistent with a role of dopamine in shielding subcortical structures from an excessive cortical entrapment and cross-hemispheric coupling, thus allowing fine-tuning of movement.

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“…This application of functional connectivity analysis is commonly found in electrophysiological experiments in nonhuman species, where direct recordings of individual cells or multiunit activity may be correlated among different recording sites (Aertsen, Erb, & Palm, 1994;Gerstein & Perkel, 1969). In humans, it may also be applied to direct recordings during deep brain stimulation by correlating electrophysiological recordings from the implanted electrodes between different sites or contacts or by correlating them with cortical signals as measured, for example, by magnetoencephalography (MEG) or electroencephalography (EEG) (e.g., Hohlefeld et al, 2013;Lourens et al, 2013). Another non-fMRI application of functional connectivity analyses is the delineation of correlations or more precisely coherence between EEG sensors, which due to the high temporal resolution of EEG may be computed as broadband correlations or specific for particular frequency bands.…”

Section: Functional Connectivity: Definition and Conceptual Implicationsmentioning

confidence: 99%

Functional Connectivity

Eickhoff¹,

Müller²

2015

Brain Mapping

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Functional and effective connectivity in subthalamic local field potential recordings of patients with Parkinson’s disease

Cited by 33 publications

References 64 publications

Phase-dependent modulation as a novel approach for therapeutic brain stimulation

Phase-dependent modulation as a novel approach for therapeutic brain stimulation

Striatal Dopaminergic Innervation Regulates Subthalamic Beta-Oscillations and Cortical-Subcortical Coupling during Movements: Preliminary Evidence in Subjects with Parkinson’s Disease

Functional Connectivity

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