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Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity
Information flow in brain networks is reflected in intracerebral local field potential (LFP) measurements that have both periodic and aperiodic components. The 1/f(χ) broadband aperiodic component of the power spectra has been shown to track arousal level and to correlate with other physiological an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934688/ https://www.ncbi.nlm.nih.gov/pubmed/36798268 http://dx.doi.org/10.1101/2023.02.08.527719 |
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author | Bush, Alan Zou, Jasmine Lipski, Witold J. Kokkinos, Vasileios Richardson, R. Mark |
author_facet | Bush, Alan Zou, Jasmine Lipski, Witold J. Kokkinos, Vasileios Richardson, R. Mark |
author_sort | Bush, Alan |
collection | PubMed |
description | Information flow in brain networks is reflected in intracerebral local field potential (LFP) measurements that have both periodic and aperiodic components. The 1/f(χ) broadband 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 (χ(STN)=1.3±0.2, χ(VIM)=1.4±0.1, χ(GPi) =1.4±0.1) that differed markedly from cortical values (χ(Cortex)=3.2±0.4, f(k)(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. |
format | Online Article Text |
id | pubmed-9934688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-99346882023-02-17 Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity Bush, Alan Zou, Jasmine Lipski, Witold J. Kokkinos, Vasileios Richardson, R. Mark bioRxiv Article Information flow in brain networks is reflected in intracerebral local field potential (LFP) measurements that have both periodic and aperiodic components. The 1/f(χ) broadband 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 (χ(STN)=1.3±0.2, χ(VIM)=1.4±0.1, χ(GPi) =1.4±0.1) that differed markedly from cortical values (χ(Cortex)=3.2±0.4, f(k)(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. Cold Spring Harbor Laboratory 2023-02-10 /pmc/articles/PMC9934688/ /pubmed/36798268 http://dx.doi.org/10.1101/2023.02.08.527719 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Bush, Alan Zou, Jasmine Lipski, Witold J. Kokkinos, Vasileios Richardson, R. Mark Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
title | Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
title_full | Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
title_fullStr | Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
title_full_unstemmed | Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
title_short | Broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
title_sort | broadband aperiodic components of local field potentials reflect inherent differences between cortical and subcortical activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934688/ https://www.ncbi.nlm.nih.gov/pubmed/36798268 http://dx.doi.org/10.1101/2023.02.08.527719 |
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