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kodandaramaiah, S. B.

Publications and source records attributed to kodandaramaiah, S. B..

3 recordsLinked to original sources

Mesoscale Ca2+ imaging reveals networks of Purkinje cell dendritic and somatic modulation, with divergent roles of activity versus correlation during behavior

A major challenge in cerebellar physiology is determining how the stereotypic, conserved circuitry of the cerebellar cortex, with its dominant parasagittal and transverse architectures, underlies its fundamental computations and contributions to behavior. To interrogate Purkinje cell dynamics at this parasagittal and transverse spatial scale, we implemented a novel approach for awake, chronic, wide-field Ca2+ imaging of the cerebellar cortex. We observe two functionally and spatially distinct Purkinje cell networks, reflecting their dendritic and somatic activities, respectively. Both dendritic and somatic networks exhibit bilateral, widespread activation during behavior, but with diverse patterns of spatial correlations occurring primarily along the parasagittal and transverse directions, consistent with the main geometry of the cerebellar cortex. Somatic network correlation dynamics are robustly modulated by prediction errors, and even reflect ultimate behavioral outcomes. These results provide a novel link between cerebellar structure and function, with the correlation dynamics of Purkinje cell activity a key feature.

neuroscience↗

3D morphometric analysis of mouse skulls using microcomputed tomography and computer vision

Morphometric studies have provided crucial insights into the skull anatomy of commonly used wildtype (WT) laboratory mice strains such as the C57BL/6. With the increasing use of transgenic (TG) animals in neuroscience research, it is important to determine whether the results from morphometric studies performed on WT strains can be extended to TG strains derived from these WT strains. We report a new computer vision-based analysis pipeline for surveying mouse skull morphology using microcomputed tomography (CT) scans. We applied this pipeline to study and compare eight cohorts of adult mice from two strains, including both male and female mice at two age points. We found that the overall skull morphology was generally conserved between cohorts, with only 13% of landmark distance differences reaching statistical significance. In addition, we surveyed the dorsal skull bone thickness differences between cohorts. We observed significantly thicker dorsal, parietal, and/or interparietal bones in WT, male, or older mice for 53% of thickness comparisons. This knowledge of dorsal skull bone thickness has potential implications for surgical planning through skull imaging and has applications in automating cranial microsurgeries on mice.

neuroscience↗

Polymer skulls with integrated transparent electrode arrays for cortex-wide opto-electrophysiological recordings

Electrophysiological and optical imaging provide complementary neural sensing capabilities - electrophysiological recordings have the highest temporal resolution, while optical imaging allows recording the activities of genetically defined populations at high spatial resolution. Combining these complementary, yet orthogonal modalities to perform simultaneous large-scale, multimodal sensing of neural activity across multiple brain regions would be very powerful. Here we show that transparent, inkjet-printed electrocorticography (ECoG) electrode arrays can be seamlessly integrated with morphologically conformant transparent polymer skulls for multimodal recordings across the cortex. These eSee-Shells were implanted on transgenic mice expressing the Ca2+ indicator GCaMP6f in cortical excitatory cells and provided a robust opto-electrophysiological interface for over 100 days. eSee-Shells enable simultaneous mesoscale Ca2+ imaging and ECoG acquisition under anesthesia as well as in awake animals presented with sensory stimuli. eSee-Shells further show sufficient clarity and transparency to observe single-cell Ca2+ signals directly below the electrodes and interconnects. Simultaneous multimodal measurement of cortical dynamics reveals changes in both ECoG and Ca2+ signals that depend on the behavioral state.

neuroscience↗