Abstract:Periodic features of neural time series data, such as local field potentials (LFP), are often quantified using power spectra. While the aperiodic exponent of spectra is typically disregarded, it is nevertheless modulated in a physiologically-relevant manner and was recently hypothesised to reflect excitation/inhibition (E/I) balance in neuronal populations. Here, we used a cross-species in vivo electrophysiological approach to test the E/I hypothesis in the context of experimental and idiopathic Parkinsonism. … Show more
“…Recently, the aperiodic exponent (1/F slope of the PSD) was suggested as a marker for E/I balance 24,26,27 . We extracted the aperiodic exponent between 5 and 50 Hz to avoid a spectral plateau at ~50 Hz and found that aperiodic exponents in STN increase with increasing DBS currents (Linear mixed‐effect model (LME): estimate = 0.006, t = 8.15, P < 0.001, n = 11 hemispheres), consistent with the hypothesis that high‐frequency stimulation inhibits STN (Fig.…”
Section: Resultssupporting
confidence: 83%
“…The lower bound was selected to avoid the impact of low‐frequency oscillations, and the upper bound was selected to avoid the impact of spectral plateaus at high DBS intensity 23 . The same FoooF settings were used to identify meaningful changes in the aperiodic exponent of STN‐LFPs with dopaminergic medication and high‐frequency stimulation 24 …”
Section: Methodsmentioning
confidence: 99%
“…23 The same FoooF settings were used to identify meaningful changes in the aperiodic exponent of STN-LFPs with dopaminergic medication and highfrequency stimulation. 24…”
Section: Power Changes and Aperiodic Exponentsmentioning
confidence: 99%
“…DBS (deep brain stimulation)-induced power suppression in STN-LFPs (subthalamic nucleus-local field potential) of dystonic patients. (A) When stimulating contacts C2 to C7 at 2 mA and recording from the adjacent contact pair, average power (mean AE standard error of the mean) in the beta(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) and gamma (36-80 Hz) range was suppressed compared to baseline in the most inferior contact only (in STN). Significant clusters are highlighted in green (cluster-based permutation test, P < 0.001).…”
A BS TRACT: Background: Subthalamic nucleus (STN) stimulation is an effective treatment for Parkinson's disease and induced local field potential (LFP) changes that have been linked with clinical improvement. STN stimulation has also been used in dystonia although the internal globus pallidus is the standard target where theta power has been suggested as a physiomarker for adaptive stimulation. Objective: We aimed to explore if enhanced theta power was also present in STN and if stimulation-induced spectral changes that were previously reported for Parkinson's disease would occur in dystonia. Methods: We recorded LFPs from 7 patients (12 hemispheres) with isolated craniocervical dystonia whose electrodes were placed such that inferior, middle, and superior contacts covered STN, zona incerta, and thalamus. Results: We did not observe prominent theta power in STN at rest. STN stimulation induced similar spectral changes in dystonia as in Parkinson's disease, such as broadband power suppression, evoked resonant neural activity (ERNA), finely-tuned gamma oscillations, and an increase in aperiodic exponents in STN-LFPs. Both power suppression and ERNA localize to STN. Based on this, single-pulse STN stimulation elicits evoked neural activities with largest amplitudes in STN, which are relayed to the zona incerta and thalamus with changing characteristics as the distance from STN increases. Conclusions: Our results show that STN stimulationinduced spectral changes are a nondisease-specific response to high-frequency stimulation, which can serve as placement markers for STN. This broadens the scope of STN stimulation and makes it an option for other disorders with excessive oscillatory peaks in STN.
“…Recently, the aperiodic exponent (1/F slope of the PSD) was suggested as a marker for E/I balance 24,26,27 . We extracted the aperiodic exponent between 5 and 50 Hz to avoid a spectral plateau at ~50 Hz and found that aperiodic exponents in STN increase with increasing DBS currents (Linear mixed‐effect model (LME): estimate = 0.006, t = 8.15, P < 0.001, n = 11 hemispheres), consistent with the hypothesis that high‐frequency stimulation inhibits STN (Fig.…”
Section: Resultssupporting
confidence: 83%
“…The lower bound was selected to avoid the impact of low‐frequency oscillations, and the upper bound was selected to avoid the impact of spectral plateaus at high DBS intensity 23 . The same FoooF settings were used to identify meaningful changes in the aperiodic exponent of STN‐LFPs with dopaminergic medication and high‐frequency stimulation 24 …”
Section: Methodsmentioning
confidence: 99%
“…23 The same FoooF settings were used to identify meaningful changes in the aperiodic exponent of STN-LFPs with dopaminergic medication and highfrequency stimulation. 24…”
Section: Power Changes and Aperiodic Exponentsmentioning
confidence: 99%
“…DBS (deep brain stimulation)-induced power suppression in STN-LFPs (subthalamic nucleus-local field potential) of dystonic patients. (A) When stimulating contacts C2 to C7 at 2 mA and recording from the adjacent contact pair, average power (mean AE standard error of the mean) in the beta(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) and gamma (36-80 Hz) range was suppressed compared to baseline in the most inferior contact only (in STN). Significant clusters are highlighted in green (cluster-based permutation test, P < 0.001).…”
A BS TRACT: Background: Subthalamic nucleus (STN) stimulation is an effective treatment for Parkinson's disease and induced local field potential (LFP) changes that have been linked with clinical improvement. STN stimulation has also been used in dystonia although the internal globus pallidus is the standard target where theta power has been suggested as a physiomarker for adaptive stimulation. Objective: We aimed to explore if enhanced theta power was also present in STN and if stimulation-induced spectral changes that were previously reported for Parkinson's disease would occur in dystonia. Methods: We recorded LFPs from 7 patients (12 hemispheres) with isolated craniocervical dystonia whose electrodes were placed such that inferior, middle, and superior contacts covered STN, zona incerta, and thalamus. Results: We did not observe prominent theta power in STN at rest. STN stimulation induced similar spectral changes in dystonia as in Parkinson's disease, such as broadband power suppression, evoked resonant neural activity (ERNA), finely-tuned gamma oscillations, and an increase in aperiodic exponents in STN-LFPs. Both power suppression and ERNA localize to STN. Based on this, single-pulse STN stimulation elicits evoked neural activities with largest amplitudes in STN, which are relayed to the zona incerta and thalamus with changing characteristics as the distance from STN increases. Conclusions: Our results show that STN stimulationinduced spectral changes are a nondisease-specific response to high-frequency stimulation, which can serve as placement markers for STN. This broadens the scope of STN stimulation and makes it an option for other disorders with excessive oscillatory peaks in STN.
Information flow in brain networks is reflected in intracerebral local field potential (LFP) measurements that have both periodic and aperiodic components. The 1/fχbroadband aperiodic component of the power spectra has been shown to track arousal level and to correlate with other physiological and pathophysiological states, with consistent patterns across cortical regions. Previous studies have focused almost exclusively on cortical neurophysiology. Here we explored the aperiodic activity of subcortical nuclei from the human thalamus and basal ganglia, in relation to simultaneously recorded cortical activity. We elaborated on the FOOOF (fitting of one over f) method by creating a new parameterization of the aperiodic component with independent and more easily interpretable parameters, which allows seamlessly fitting spectra with and without an aperiodic knee, a component of the signal that reflects the dominant timescale of aperiodic fluctuations. First, we found that the aperiodic exponent from sensorimotor cortex in Parkinson's disease (PD) patients correlated with disease severity. Second, although the aperiodic knee frequency changed across cortical regions as previously reported, no aperiodic knee was detected from subcortical regions across movement disorders patients, including the ventral thalamus (VIM), globus pallidus internus (GPi) and subthalamic nucleus (STN). All subcortical region studied exhibited a relatively low aperiodic exponent (χSTN=1.3±0.2, χVIM=1.4±0.1, χGPi=1.4±0.1) that differed markedly from cortical values (χCortex=3.2±0.4, fk,Cortex=17±5 Hz). These differences were replicated in a second dataset from epilepsy patients undergoing intracranial monitoring that included thalamic recordings. The consistently lower aperiodic exponent and lack of an aperiodic knee from all subcortical recordings may reflect cytoarchitectonic and/or functional differences between subcortical nuclei and the cortex.
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