Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.
Neuron
; 93(3): 522-532.e5, 2017 Feb 08.
Article
in En
| MEDLINE
| ID: mdl-28132829
ABSTRACT
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.
Key words
Full text:
1
Database:
MEDLINE
Main subject:
Brain
/
Models, Neurological
/
Nerve Net
/
Neurons
Type of study:
Prognostic_studies
Language:
En
Journal:
Neuron
Year:
2017
Type:
Article
Affiliation country:
United States