| Paper: | PS-1B.34 | ||
| Session: | Poster Session 1B | ||
| Location: | H Fläche 1.OG | ||
| Session Time: | Saturday, September 14, 16:30 - 19:30 | ||
| Presentation Time: | Saturday, September 14, 16:30 - 19:30 | ||
| Presentation: | Poster | ||
| Publication: | 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany | ||
| Paper Title: | Locus Coeruleus Engagement Drives Network Connectivity Dynamics In Humans And Rats | ||
| Manuscript: | Click here to view manuscript | ||
| License: |  This work is licensed under a Creative Commons Attribution 3.0 Unported License. |
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| DOI: | https://doi.org/10.32470/CCN.2019.1366-0 | ||
| Authors: | Sana Hussain, Mahsa Alizadeh Shalchy, Kimia C. Yaghoubi, Jason Langley, Xu Chen, Ilana J. Bennett, University of California, Riverside, United States; Ringo Huang, David Clewett, Shawn E. Nielsen, Rico Velasco, Briana Kennedy, Sophia Han, Kristie Tu, University of Southern California, United States; Aaron R. Seitz, University of California, Riverside, United States; Nanyin Zhang, University of Pennsylvania, United States; Mara Mather, University of Southern California, United States; Xiaoping Hu, Megan A. K. Peters, University of California, Riverside, United States | ||
| Abstract: | The locus coeruleus (LC) projects broadly throughout the brain, serving as the main source of norepinephrine and consequently driving arousal, attention and task performance. However, the arousal-performance relationship is non-monotonic, with low and high LC engagement associated with poorer task performance than intermediate LC activity. Signs of this “Yerkes-Dodson” LC-performance curve have been observed in both humans and animals, but its underlying computational mechanisms remain poorly understood. We hypothesized that LC’s role in driving performance is due largely to its effect on neural noise, i.e. variability in innervated network activity. As a preliminary test, using two existing fMRI datasets we examined how LC engagement impacted BOLD and functional connectivity variability and dynamics in resting state and attentional networks in humans and rats. LC engagement changed (a) BOLD variability in a network-specific manner (humans), and (b) dynamic functional connectivity state switching speed between LC and thalamus (rats). These results provide preliminary cross-species evidence suggesting that LC’s computational role in regulating performance may rest largely on its role in regulating neural variability. | ||