Dynamic changes in rhythmic and arrhythmic neural signatures in the subthalamic nucleus induced by anaesthesia and intubation

Huang, Yongzhi; Hu, Kejia; Green, Alexander L.; Ma, Xin; Gillies, Martin J.; Wang, Shouyan; FitzGerald, James J.; Pan, Yixin; Martin, Sean; Huang, Peng; Zhan, Siyan; Li, Dianyou; Tan, Huiling; Aziz, Tipu Z.; Sun, Bomin

doi:10.1101/762260

Cited by 1 publication

(2 citation statements)

References 56 publications

(90 reference statements)

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“…Furthermore, the value for the aperiodic exponent in the STN we measured is consistent with recent studies that estimated this parameter (Huang et al, 2020;Wiest et al, 2022).…”

Section: Discussionsupporting

confidence: 92%

“…Due to the different morphology of cortical versus thalamic and basal ganglia neurons, this could contribute to the difference in 1 𝑓 , ⁄ slope observed. However, the aperiodic slope in the STN has been shown to change with Propofol anesthesia (Huang et al, 2020), dopaminergic medication and DBS treatment (Wiest et al, 2022), demonstrating that this parameter depends on dynamical aspects of neural activity and cannot be fully explained by morphology and cytoarchitecture.…”

Section: Discussionmentioning

confidence: 99%

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Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity

Bush

Zou

Lipski

et al. 2023

Preprint

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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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“…Furthermore, the value for the aperiodic exponent in the STN we measured is consistent with recent studies that estimated this parameter (Huang et al, 2020;Wiest et al, 2022).…”

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%