Evidence map›Paper›PMID 28132829›Full record

ArticleNeuron2017

Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI.

David Bernal-Casas, Hyun Joo Lee, Andrew J Weitz, Jin Hyung Lee

Abstract read
In one paragraph

Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Optogenetic fMRI for Brain-Wide Circuit Analysis of Sensory Processing.International journal of molecular sciences · 2022
    Pooled it
  2. Article
  3. Article
  4. Spectral imprint of structural embedding in effective connectivity.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Article
  7. Neuromodulation in Small Animal fMRI.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  8. Charting the path in rodent functional neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David Bernal-CasasDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Hyun Joo LeeDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Andrew J WeitzDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Jin Hyung LeeDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. Electronic address: ljinhy@stanford.edu.

Funding

Dynamic regulation of whole brain circuit function by basal ganglia pathwaysR01NS091461 · NINDS · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2015 to 2019
$2.4M
In Vivo Control and Functional Visualization of Stem Cell-Driven CNS RegenerationDP2OD007265 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEE, JIN HYUNG · 2010 to 2010
$2.4M
Deconstructing Arousal Regulation Circuits for Optimal DBS Therapy DesignR01NS087159 · NINDS · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2014 to 2018
$1.9M
Direct Visualization of Cell-Type Specific AD Networks for Drug DevelopmentRF1AG047666 · NIA · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2014 to 2014
$1.8M
Visualization of Neuro-Molecular Targeting using Distribution-Free, High-Res fMRIR00EB008738 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEE, JIN HYUNG · 2010 to 2012
$745k
NIA NIH HHS RF1 AG047666NIBIB NIH HHS R00 EB008738NIH HHS DP2 OD007265NINDS NIH HHS R01 NS087159NINDS NIH HHS R01 NS091461
6 · The paper itself

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.

Indexed as

Models, NeurologicalAnimalsBasal GangliaBayes TheoremBrainCausalityCerebral CortexFourier AnalysisFunctional NeuroimagingMagnetic Resonance ImagingMiceNerve NetNeural PathwaysNeuronsOptogeneticsThalamusbasal gangliadirect and indirect pathwaysdynamic causal modelingofMRIoptogenetic fMRI

Identifiers

PMID28132829
PMCPMC5472443

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.