دورية أكاديمية

Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity

التفاصيل البيبلوغرافية
العنوان: Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity
المؤلفون: Yuhao Huang, Jeffrey B. Wang, Jonathon J. Parker, Rajat Shivacharan, Rayhan A. Lal, Casey H. Halpern
المصدر: Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
بيانات النشر: Nature Portfolio, 2023.
سنة النشر: 2023
المجموعة: LCC:Science
مصطلحات موضوعية: Science
الوصف: Abstract 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-023-38253-7
URL الوصول: https://doaj.org/article/32019ae803b84a60a1caccf3ee748eb5
رقم الأكسشن: edsdoj.32019ae803b84a60a1caccf3ee748eb5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20411723
DOI:10.1038/s41467-023-38253-7