Multiscale Neural Reconfigurations Enhance Information Flow During Tasks via the Locus Coerelues

Poster No:

733 

Submission Type:

Abstract Submission 

Authors:

Brandon Munn1, Eli Müller2, Joshua Tan1, James Shine3

Institutions:

1University of Sydney, Sydney, NSW, 2University of Sydney, Sydney , NSW, 3The University of Sydney, Sydney, NSW

First Author:

Brandon Munn  
University of Sydney
Sydney, NSW

Co-Author(s):

Eli Müller  
University of Sydney
Sydney , NSW
Joshua Tan  
University of Sydney
Sydney, NSW
James Shine, MD, PhD  
The University of Sydney
Sydney, NSW

Introduction:

There is little consensus regarding the appropriate scale at which to interrogate brain dynamics, nor how these dynamics are modulated during complex behaviour, such as cognitive or motor tasks.

Methods:

Here we examine human fMRI BOLD (3T) across two separately collected datasets, across multiple behavioural paradigms (from rest, cognitive tasks, motor tasks, movie watching). We then further validate our conclusions causally with a murine animal model with simultaneous fMRI BOLD and optogenetic stimulation of the pontine noradrenergic locus coerelues. We analyse these datasets using multiscale analysis (iterative coarse-graining), network analysis, and information theoretic analysis.

Results:

Here, we demonstrate that dynamic, multiscale functional reconfigurations of system-level neural activity across integrative hubs during cognitive task switching improves whole-brain information flow. Through analyses of optogenetic fMRI data in mice, we provide causal evidence that the noradrenergic locus coeruleus can mediate these adaptive multiscale functional reconfigurations.
Supporting Image: IMG_1157.jpeg
   ·Cognitive tasks reconfigure integration and information flow across scales
 

Conclusions:

Our findings demonstrate that the noradrenegic arousal system is essential for efficiently switching between behaviours by reconfiguring the brain's cross-scale information flow.

Brain Stimulation:

Direct Electrical/Optogenetic Stimulation 2

Higher Cognitive Functions:

Executive Function, Cognitive Control and Decision Making 1

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural)

Novel Imaging Acquisition Methods:

BOLD fMRI

Keywords:

Brainstem
Cross-Species Homologues
FUNCTIONAL MRI
Noradrenaline
Open Data
Statistical Methods

1|2Indicates the priority used for review

Abstract Information

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Please indicate below if your study was a "resting state" or "task-activation” study.

Resting state
Task-activation

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Healthy subjects

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Yes

Please indicate which methods were used in your research:

Functional MRI
Behavior

For human MRI, what field strength scanner do you use?

3.0T

Provide references using APA citation style.

Munn, B. R. et al. Multiscale organization of neuronal activity unifies scale-dependent theories of brain function. Cell S0092867424011528 (2024) doi:10.1016/j.cell.2024.10.004.

Shine, J. M. et al. Human cognition involves the dynamic integration of neural activity and neuromodulatory systems. Nat Neurosci 22, 289–296 (2019).

Shine, J. M. et al. Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics. Nat Neurosci 24, 765–776 (2021).

Grimm, C. et al. Locus Coeruleus Firing Patterns Selectively Modulate Brain Activity and Dynamics. http://biorxiv.org/lookup/doi/10.1101/2022.08.29.505672 (2022) doi:10.1101/2022.08.29.505672.

Munn, B. R., Müller, E. J., Wainstein, G. & Shine, J. M. The ascending arousal system shapes neural dynamics to mediate awareness of cognitive states. Nat Commun 12, 6016 (2021).

Shine, J. M. et al. The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance. Neuron 92, 544–554 (2016).

Krienen, F. M., Yeo, B. T. T. & Buckner, R. L. Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture. Phil. Trans. R. Soc. B 369, 20130526 (2014).

Cole, M. W. et al. Multi-task connectivity reveals flexible hubs for adaptive task control. Nature Neuroscience 16, 1348–1355 (2013).

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No