To be and not to be: wide-field Ca2+ imaging reveals neocortical functional segmentation combines stability and flexibility.
Angela K NietzMartha L StrengLaurentiu S PopaRussell E CarterEvelyn B FlahertyJustin D AronsonTimothy J EbnerPublished in: Cerebral cortex (New York, N.Y. : 1991) (2023)
The stability and flexibility 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+ fluorescence. 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 flexibility for task-dependent reorganization.
Keyphrases
- high resolution
- deep learning
- convolutional neural network
- subarachnoid hemorrhage
- single molecule
- electronic health record
- metabolic syndrome
- insulin resistance
- functional connectivity
- spinal cord
- heart rate
- blood pressure
- blood brain barrier
- mass spectrometry
- molecularly imprinted
- neuropathic pain
- machine learning
- single cell
- heart rate variability
- fluorescence imaging
- cerebral blood flow
- low cost
- simultaneous determination