Effective Connectivity Measured Using Optogenetically Evoked Hemodynamic Signals Exhibits Topography Distinct from Resting State Functional Connectivity in the Mouse.
Effective Connectivity Measured Using Optogenetically Evoked Hemodynamic Signals Exhibits Topography Distinct from Resting State Functional Connectivity in the Mouse.
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DOI:
10.1093/cercor/bhx298
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发表时间:
2018-01-01
期刊:
影响因子:
--
通讯作者:
Culver JP
中科院分区:
文献类型:
--
作者:
Bauer AQ;Kraft AW;Baxter GA;Wright PW;Reisman MD;Bice AR;Park JJ;Bruchas MR;Snyder AZ;Lee JM;Culver JP
Brain connectomics has expanded from histological assessment of axonal projection connectivity (APC) to encompass resting state functional connectivity (RS-FC). RS-FC analyses are efficient for whole-brain mapping, but attempts to explain aspects of RS-FC (e.g., interhemispheric RS-FC) based on APC have been only partially successful. Neuroimaging with hemoglobin alone lacks specificity for determining how activity in a population of cells contributes to RS-FC. Wide-field mapping of optogenetically defined connectivity could provide insights into the brain’s structure–function relationship. We combined optogenetics with optical intrinsic signal imaging to create an efficient, optogenetic effective connectivity (Opto-EC) mapping assay. We examined EC patterns of excitatory neurons in awake, Thy1-ChR2 transgenic mice. These Thy1-based EC (Thy1-EC) patterns were evaluated against RS-FC over the cortex. Compared to RS-FC, Thy1-EC exhibited increased spatial specificity, reduced interhemispheric connectivity in regions with strong RS-FC, and appreciable connection strength asymmetry. Comparing the topography of Thy1-EC and RS-FC patterns to maps of APC revealed that Thy1-EC more closely resembled APC than did RS-FC. The more general method of Opto-EC mapping with hemoglobin can be determined for 100 sites in single animals in under an hour, and is amenable to other neuroimaging modalities. Opto-EC mapping represents a powerful strategy for examining evolving connectivity-related circuit plasticity.
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影响因子:
5.3
作者:
Wright PW;Archambault AS;Peek S;Bauer AQ;Culican SM;Ances BM;Culver JP;Wu GF
通讯作者:
Wu GF
DOI:
10.1523/jneurosci.5845-11.2012
发表时间:
2012-03-28
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Bero AW;Bauer AQ;Stewart FR;White BR;Cirrito JR;Raichle ME;Culver JP;Holtzman DM
通讯作者:
Holtzman DM
影响因子:
5.7
作者:
Culver, JP;Siegel, AM;Boas, DA
通讯作者:
Boas, DA
DOI:
10.1098/rstb.2005.1634
发表时间:
2005-05-29
影响因子:
6.3
作者:
Beckmann, CF;DeLuca, M;Smith, SM
通讯作者:
Smith, SM
影响因子:
25
作者:
Dombeck, Daniel A.;Harvey, Christopher D.;Tian, Lin;Looger, Loren L.;Tank, David W.
通讯作者:
Tank, David W.