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• W2065496603 abstract "Functional neuroimaging (e.g., with fMRI) has been difficult to perform in mice, making it challenging to translate between human fMRI studies and molecular and genetic mechanisms. A method to easily perform large-scale functional neuroimaging in mice would enable the discovery of functional correlates of genetic manipulations and bridge with mouse models of disease. To satisfy this need, we combined resting-state functional connectivity mapping with optical intrinsic signal imaging (fcOIS). We demonstrate functional connectivity in mice through highly detailed fcOIS mapping of resting-state networks across most of the cerebral cortex. Synthesis of multiple network connectivity patterns through iterative parcellation and clustering provides a comprehensive map of the functional neuroarchitecture and demonstrates identification of the major functional regions of the mouse cerebral cortex. The method relies on simple and relatively inexpensive camera-based equipment, does not require exogenous contrast agents and involves only reflection of the scalp (the skull remains intact) making it minimally invasive. In principle, fcOIS allows new paradigms linking human neuroscience with the power of molecular/genetic manipulations in mouse models." @default.
• W2065496603 created "2016-06-24" @default.
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• W2065496603 date "2011-01-20" @default.
• W2065496603 modified "2023-10-16" @default.
• W2065496603 title "Imaging of Functional Connectivity in the Mouse Brain" @default.
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• W2065496603 doi "https://doi.org/10.1371/journal.pone.0016322" @default.
• W2065496603 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3024435" @default.
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