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Large-scale infra-slow dynamics of extracellular potentials linked to synchronous states revealed by graphene neural probes

Garcia-Cortadella, R.; Cisneros-Fernandez, J.; Schwesig, G.; Shahidi, A.; Umurzakova, A.; Schaefer, N.; Aguilar, J.; Masvidal-Codina, E.; Del Corro, E.; Mohrlok, R.; Kurnoth, M.; Paetzold, J.; Jeschke, C.; Loeffler, H.; Meents, J.; Illa, X.; Serra-Graells, F.; Guimera-Brunet, A.; Garrido, J. A.; Sirota, A.

2024-12-20 neuroscience
10.1101/2024.12.20.629545 bioRxiv
Show abstract

Infra-slow (<0.5 Hz) brain dynamics reflect homeostatic and neuromodulatory processes that modulate neuronal excitability and shape faster oscillations across brain regions. Infra-slow brain activity is typically inferred from magnetic or optical imaging, but these methods are limited in temporal resolution and compatibility with unconstrained behavior. Infra-slow local field potentials (isLFPs) could provide a direct measure of infra-slow network dynamics, but have remained poorly characterized due to the absence of scalable, DC-coupled recording methods. Here, we introduce DC-coupled electrophysiological imaging based on arrays of up to 512 multiplexed graphene transistors enabling stable, high-density recordings across cortical regions and cortical layers in freely moving rats. We developed an analytical framework for the analysis of wide-band LFP, revealing that synchronous oscillatory states of variable duration and spatial scale are consistently linked to topographically and translaminarly structured DC potential shifts. We propose a physiological model linking these DC shifts to sustained gradients of extracellular K+ concentration, providing a mechanistic connection between neuronal synchrony and isLFP dynamics. By integrating DC-coupled sensing, multiplexed scalability, and depth-surface co-registration, this work establishes a new modality for imaging-like electrophysiology in freely moving animals and a framework for interpreting infra-slow dynamics.

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