To be and not to be: wide-field Ca2+ imaging reveals neocortical functional segmentation combines stability and flexibility

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Abstract

The stability and f lexibility of the functional parcellation of the cerebral cortex is fundamental to how familiar and novel information is both represented and stored. We leveraged new advances in Ca2+ sensors and microscopy to understand the dynamics of functional segmentation in the dorsal cerebral cortex. We performed wide-field Ca2+ imaging in head-fixed mice and used spatial independent component analysis (ICA) to identify independent spatial sources of Ca2+ f luorescence. The imaging data were evaluated over multiple timescales and discrete behaviors including resting, walking, and grooming. When evaluated over the entire dataset, a set of template independent components (ICs) were identified that were common across behaviors. Template ICs were present across a range of timescales, from days to 30 seconds, although with lower occurrence probability at shorter timescales, highlighting the stability of the functional segmentation. Importantly, unique ICs emerged at the shorter duration timescales that could act to transiently refine the cortical network. When data were evaluated by behavior, both common and behavior-specific ICs emerged. Each behavior is composed of unique combinations of common and behavior-specific ICs. These observations suggest that cerebral cortical functional segmentation exhibits considerable spatial stability over time and behaviors while retaining the f lexibility for task-dependent reorganization.

Original languageEnglish (US)
Pages (from-to)6543-6558
Number of pages16
JournalCerebral Cortex
Volume33
Issue number11
DOIs
StatePublished - Jun 1 2023

Bibliographical note

Funding Information:
This work was supported in part by National Institutes of Health grants (R01 NS111028 and P30 DA048742 to T.J.E., and K99 NS121274 to M.L.S.) as well as by an Academic Investment Research Program (AIRP) grant from the University of Minnesota Medical School to T.J.E.

Funding Information:
We would like to thank Lijuan Zhuo for her assistance with the animal surgeries. The Minnesota Supercomputing Institute provided high-processing computing, and the University of Minnesota University Imaging Centers (UIC, SCR_020997) provided 3D printing services of the cortical implants. This work was supported in part by National Institutes of Health grants (R01 NS111028 and P30 DA048742 to T.J.E., and K99 NS121274 to M.L.S.) as well as by an Academic Investment Research Program (AIRP) grant from the University of Minnesota Medical School to T.J.E.

Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press.

Keywords

  • calcium
  • cerebral cortex
  • discrete time-window
  • independent component
  • mesoscale imaging

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