Evidence map›Paper›PMID 34333106›Full record

ArticleNeuroImage2021

High-sensitivity detection of optogenetically-induced neural activity with functional ultrasound imaging.

Bradley Jay Edelman, Giovanna D Ielacqua, Russell W Chan, Mazen Asaad, Mankin Choy, Jin Hyung Lee

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Ketamine-induced static and dynamic functional connectivity changes are modulated by opioid receptors and biological sex in rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  4. Article
  5. Exploring Neural Dynamics in the Auditory Telencephalon of Crows Using Functional Ultrasound Imaging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Article
  7. Article
  8. Hemodynamic transient and functional connectivity follow structural connectivity and cell type over the brain hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. 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

6 authors at 1 institution in 1 country.

Bradley Jay EdelmanDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Giovanna D IelacquaDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Russell W ChanDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Mazen AsaadDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, 94305, USA.
Mankin ChoyDepartment of Neurology and Neurological Sciences, 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 Electrical Engineering, Stanford University, CA, 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA, 94305, USA. Electronic address: ljinhy@stanford.edu.
Stanford University · US

Funding

From Optogenetic Functional MRI to Mechanogenetic Functional UltrasoundDP1NS116783 · NINDS · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2019 to 2024
$5.5M
Defining Cell Type Specific Contributions to fMRI SignalsRF1MH114227 · NIMH · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2017 to 2017
$3.7M
NIMH NIH HHS RF1 MH114227NINDS NIH HHS DP1 NS116783
6 · The paper itself

Abstract

Whole-brain imaging approaches and optogenetic manipulations are powerful tools to map brain-wide neural circuits in vivo. To date, functional magnetic resonance imaging (fMRI) provides the most comprehensive evaluation of such large-scale circuitry. However, functional ultrasound imaging (fUSI) has recently emerged as a complementary imaging modality that can extend such measurements towards the context of diverse behavioral states and tasks. Nevertheless, in order to properly interpret the fUSI signal during these complicated scenarios, it must first be carefully validated against well-established technologies, such as fMRI, in highly controlled experimental settings. Here, to address this need, we compared subsequent fMRI and fUSI recordings in response to direct neuronal activation via optogenetics in the same animals under an identical anesthetic protocol. Specifically, we applied various intensities of light stimulation to the primary motor cortex (M1) of mice and compared the spatiotemporal dynamics of the elicited fMRI and fUSI signals. Overall, our general linear model analysis (t-scores) and time series analysis (z-scores) revealed that fUSI was more sensitive than fMRI for detecting optogenetically-induced neuronal activation. Local field potential recordings in the bilateral M1 and striatum also better co-localized with fUSI activation patterns than those of fMRI. Finally, the fUSI response contained distinct arterial and venous components that provide vascular readouts of neuronal activity with vessel-type specificity.

Indexed as

AnimalsFemaleFunctional NeuroimagingMagnetic Resonance ImagingMaleMiceMotor CortexNeuronsOptogeneticsUltrasonographyFunctional magnetic resonance imagingfunctional ultrasound imagingMotor cortexNeural circuitsOptogenetics

Identifiers

PMID34333106
PMCPMC9584544
OpenAlexW3191343589

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.