期刊
NEURON
卷 93, 期 3, 页码 522-+出版社
CELL PRESS
DOI: 10.1016/j.neuron.2016.12.035
关键词
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资金
- NIH/NIBIB [R00EB008738]
- Okawa Foundation
- NIH [DP2OD007265]
- NSF CAREER Award [1056008]
- Alfred P. Sloan Research Fellowship
- NIH/NINDS [R01NS091461]
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [1056008] Funding Source: National Science Foundation
Defining the large-scale behavior of brain circuits with cell type specificity is a major goal of neuroscience. However, neuronal circuit diagrams typically draw upon anatomical and electrophysiological measurements acquired in isolation. Consequently, a dynamic and cell-type-specific connectivity map has never been constructed from simultaneous measurements across the brain. Here, we introduce dynamic causal modeling (DCM) for optogenetic fMRI experiments-which uniquely allow cell-type-specific, brain-wide functional measurements-to parameterize the causal relationships among regions of a distributed brain network with cell type specificity. Strikingly, when applied to the brain-wide basal ganglia-thalamocortical network, DCM accurately reproduced the empirically observed time series, and the strongest connections were key connections of optogenetically stimulated pathways. We predict that quantitative and cell-type-specific descriptions of dynamic connectivity, as illustrated here, will empower novel systems-level understanding of neuronal circuit dynamics and facilitate the design of more effective neuromodulation therapies.
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