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Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity
Mounting evidence demonstrates that the central nervous system (CNS) orchestrates glucose homeostasis by sensing glucose and modulating peripheral metabolism. Glucose responsive neuronal populations have been identified in the hypothalamus and several corticolimbic regions. However, how these CNS gl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174612/ https://www.ncbi.nlm.nih.gov/pubmed/37169738 http://dx.doi.org/10.1038/s41467-023-38253-7 |
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author | Huang, Yuhao Wang, Jeffrey B. Parker, Jonathon J. Shivacharan, Rajat Lal, Rayhan A. Halpern, Casey H. |
author_facet | Huang, Yuhao Wang, Jeffrey B. Parker, Jonathon J. Shivacharan, Rajat Lal, Rayhan A. Halpern, Casey H. |
author_sort | Huang, Yuhao |
collection | PubMed |
description | Mounting evidence demonstrates that the central nervous system (CNS) orchestrates glucose homeostasis by sensing glucose and modulating peripheral metabolism. Glucose responsive neuronal populations have been identified in the hypothalamus and several corticolimbic regions. However, how these CNS gluco-regulatory regions modulate peripheral glucose levels is not well understood. To better understand this process, we simultaneously measured interstitial glucose concentrations and local field potentials in 3 human subjects from cortical and subcortical regions, including the hypothalamus in one subject. Correlations between high frequency activity (HFA, 70–170 Hz) and peripheral glucose levels are found across multiple brain regions, notably in the hypothalamus, with correlation magnitude modulated by sleep-wake cycles, circadian coupling, and hypothalamic connectivity. Correlations are further present between non-circadian (ultradian) HFA and glucose levels which are higher during awake periods. Spectro-spatial features of neural activity enable decoding of peripheral glucose levels both in the present and up to hours in the future. Our findings demonstrate proactive encoding of homeostatic glucose dynamics by the CNS. |
format | Online Article Text |
id | pubmed-10174612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101746122023-05-13 Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity Huang, Yuhao Wang, Jeffrey B. Parker, Jonathon J. Shivacharan, Rajat Lal, Rayhan A. Halpern, Casey H. Nat Commun Article Mounting evidence demonstrates that the central nervous system (CNS) orchestrates glucose homeostasis by sensing glucose and modulating peripheral metabolism. Glucose responsive neuronal populations have been identified in the hypothalamus and several corticolimbic regions. However, how these CNS gluco-regulatory regions modulate peripheral glucose levels is not well understood. To better understand this process, we simultaneously measured interstitial glucose concentrations and local field potentials in 3 human subjects from cortical and subcortical regions, including the hypothalamus in one subject. Correlations between high frequency activity (HFA, 70–170 Hz) and peripheral glucose levels are found across multiple brain regions, notably in the hypothalamus, with correlation magnitude modulated by sleep-wake cycles, circadian coupling, and hypothalamic connectivity. Correlations are further present between non-circadian (ultradian) HFA and glucose levels which are higher during awake periods. Spectro-spatial features of neural activity enable decoding of peripheral glucose levels both in the present and up to hours in the future. Our findings demonstrate proactive encoding of homeostatic glucose dynamics by the CNS. Nature Publishing Group UK 2023-05-11 /pmc/articles/PMC10174612/ /pubmed/37169738 http://dx.doi.org/10.1038/s41467-023-38253-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Huang, Yuhao Wang, Jeffrey B. Parker, Jonathon J. Shivacharan, Rajat Lal, Rayhan A. Halpern, Casey H. Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
title | Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
title_full | Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
title_fullStr | Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
title_full_unstemmed | Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
title_short | Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
title_sort | spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174612/ https://www.ncbi.nlm.nih.gov/pubmed/37169738 http://dx.doi.org/10.1038/s41467-023-38253-7 |
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