Norepinephrine-mediated arousal fluctuations drive inverted U-shaped functional connectivity dynamics
Year: 2025
Type: article
Abstract: Arousal states dynamically shape brain function and behavioral performance, as posited by the Yerkes-Dodson law. Yet, functional network substrates underlying this inverted U-shaped pattern remain unknown. Here, by integrating functional magnetic resonance imaging (fMRI) with simultaneous electroencephalography (EEG) across humans and awake mice, we found arousal modulated inverted U-shaped global functional connectivity (FC) dynamics, peaking at middle arousal level. Such inverted U-shaped FC exhibited significant correlation with arousal modulated behavioral performance, recapitulating the Yerkes-Dodson framework at the functional network level. Further combining invasive multimodal neural recording and manipulations of locus coeruleus-norepinephrine (LC-NE) neurons with awake mouse EEG-fMRI, we revealed the causal contribution of LC-NE system to arousal modulated FC dynamics, in which the inverted U-shaped pattern was dependent on the baseline arousal level. To summarize, we uncovered the functional network basis of the Yerkes-Dodson law, which was causally driven by the NE-mediated arousal fluctuations. Tong and colleagues reveal a cross-species conserved mechanism where locus coeruleus-norepinephrine mediated arousal fluctuations drive an inverted U-shaped pattern of global functional connectivity, uncovering a network basis of the Yerkes-Dodson law.
Source: Nature Communications
Authors: Chuanjun Tong, Weishuai Li, Yijuan Zou, Ying Xia, Mengchao Pei, Kaiwei Zhang, Yichao Luo, Zhifeng Liang
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
Funders: University of Southern California, Pennsylvania State University, National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Eidgenössische Technische Hochschule Zürich, Young Scientists Fund, National Postdoctoral Program for Innovative Talents
OpenAlex ID: W4417298358
