Mesoscale Mapping of Mouse Cortex Reveals Frequency-Dependent Cycling between Distinct Macroscale Functional Modules
| Autor: | Allen W. Chan, Gergely Silasi, Matthieu P. Vanni, Timothy H. Murphy, Matilde Balbi |
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| Rok vydání: | 2017 |
| Předmět: |
Male
0301 basic medicine Future studies Rest Models Neurological Mice Transgenic Biology Mice 03 medical and health sciences Spatio-Temporal Analysis 0302 clinical medicine Calcium imaging Connectome Animals Computer Simulation Calcium Signaling Research Articles Default mode network Cerebral Cortex Mouse cortex Resting state fMRI General Neuroscience Functional connectivity Brain Waves Voltage-Sensitive Dye Imaging 030104 developmental biology Correlation analysis Female Nerve Net Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | The Journal of Neuroscience. 37:7513-7533 |
| ISSN: | 1529-2401 0270-6474 |
| DOI: | 10.1523/jneurosci.3560-16.2017 |
| Popis: | Connectivity mapping based on resting-state activity in mice has revealed functional motifs of correlated activity. However, the rules by which motifs organize into larger functional modules that lead to hemisphere wide spatial-temporal activity sequences is not clear. We explore cortical activity parcellation in head-fixed, quiet awake GCaMP6 mice from both sexes by using mesoscopic calcium imaging. Spectral decomposition of spontaneous cortical activity revealed the presence of two dominant frequency modes (1 Hz yielded two larger clusters of coactivated areas with an enlarged default mode network-like posterior region. We suggest that the apparent constrained structure for intra-areal cortical activity flow could be exploited in future efforts to normalize activity in diseases of the nervous system. SIGNIFICANCE STATEMENT Increasingly, functional connectivity mapping of spontaneous activity is being used to reveal the organization of the brain. However, because the brain operates across multiple space and time domains a more detailed understanding of this organization is necessary. We used in vivo wide-field calcium imaging of the indicator GCaMP6 in head-fixed, awake mice to characterize the organization of spontaneous cortical activity at different spatiotemporal scales. Correlation analysis defines the presence of two to three superclusters of activity that span traditionally defined functional territories and were frequency dependent. This work helps define the rules for how different cortical areas interact in time and space. We provide a framework necessary for future studies that explore functional reorganization of brain circuits in disease models. |
| Databáze: | OpenAIRE |
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