Evidence map›Paper›PMID 38076725›Full record

ArticleNeurophotonics2023

Depth-sensitive diffuse speckle contrast topography for high-density mapping of cerebral blood flow in rodents.

Mehrana Mohtasebi, Dara Singh, Xuhui Liu, Faraneh Fathi, Samaneh Rabienia Haratbar, Kathryn E Saatman, Lei Chen, Guoqiang Yu

Open access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Mehrana MohtasebiUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.ORCID https://orcid.org/0000-0002-4689-990X
Dara SinghUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.
Xuhui LiuUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.
Faraneh FathiUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.ORCID https://orcid.org/0000-0001-8061-6304
Samaneh Rabienia HaratbarUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.ORCID https://orcid.org/0009-0005-3051-2888
Kathryn E SaatmanUniversity of Kentucky, Spinal Cord and Brain Injury Research Center, Department of Physiology, Lexington, Kentucky, United States.
Lei ChenUniversity of Kentucky, Spinal Cord and Brain Injury Research Center, Department of Physiology, Lexington, Kentucky, United States.
Guoqiang YuUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.
University of Kentucky · US

Funding

Noninvasive Noncontact High-Density Optical Imaging of Neonatal Intraventricular HemorrhageR01HD101508 · NICHD · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2024
$2.7M
Time-resolved laser speckle contrast imaging of resting-state functional connectivity in neonatal brainR42MH135825 · NIMH · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2023 to 2025
$2.1M
Development of a Wearable Fluorescence Imaging Device for IntraoperativeIdentification of Brain TumorsR42CA243600 · NCI · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2023 to 2025
$2.0M
Perioperative Diffuse Optical Imaging of Tissue Blood Flow and Oxygenation for Optimization of Mastectomy Skin Flap ViabilityR01EB028792 · NIBIB · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2024
$1.9M
High-density optical tomography of cerebral blood flow and metabolism in small animalsR41NS122722 · NINDS · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2021 to 2022
$688k
Continuous and Longitudinal Monitoring of Cerebral Blood Flow and Metabolism in Freely Moving RodentsR56NS117587 · NINDS · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2020
$613k
A Multiscale Multimodal Diffuse Optical Device for Early Detection of Preclinical Alzheimer’s DiseaseR21HD091118 · NICHD · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2018 to 2019
$568k
Implementing a novel, multimodal technique for monitoring cerebrovascular hemodynamics in mice as a diagnostic and prognostic tool for single and repeated mild TBIR21NS114771 · NINDS · UNIVERSITY OF KENTUCKY · PI SAATMAN, KATHRYN E · 2020 to 2020
$421k
Development of a Wearable Fluorescence Imaging Device for Intraoperative Identification of Brain TumorsR41CA243600 · NCI · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2019 to 2019
$210k
NCI NIH HHS R41 CA243600NCI NIH HHS R42 CA243600NIBIB NIH HHS R01 EB028792NICHD NIH HHS R01 HD101508NICHD NIH HHS R21 HD091118NIMH NIH HHS R42 MH135825NINDS NIH HHS R21 NS114771NINDS NIH HHS R41 NS122722NINDS NIH HHS R56 NS117587
6 · The paper itself

Abstract

Significance: Frequent assessment of cerebral blood flow (CBF) is crucial for the diagnosis and management of cerebral vascular diseases. In contrast to large and expensive imaging modalities, such as nuclear medicine and magnetic resonance imaging, optical imaging techniques are portable and inexpensive tools for continuous measurements of cerebral hemodynamics. The recent development of an innovative noncontact speckle contrast diffuse correlation tomography (scDCT) enables three-dimensional (3D) imaging of CBF distributions. However, scDCT requires complex and time-consuming 3D reconstruction, which limits its ability to achieve high spatial resolution without sacrificing temporal resolution and computational efficiency. Aim: We investigate a new diffuse speckle contrast topography (DSCT) method with parallel computation for analyzing scDCT data to achieve fast and high-density two-dimensional (2D) mapping of CBF distributions at different depths without the need for 3D reconstruction. Approach: A new moving window method was adapted to improve the sampling rate of DSCT. A fast computation method utilizing MATLAB functions in the Image Processing Toolbox™ and Parallel Computing Toolbox™ was developed to rapidly generate high-density CBF maps. The new DSCT method was tested for spatial resolution and depth sensitivity in head-simulating layered phantoms and Results: DSCT enables 2D mapping of the particle flow in the phantom at different depths through the top layer with varied thicknesses. Both DSCT and scDCT enable the detection of global and regional CBF changes in deep brains of adult rats. However, DSCT achieves fast and high-density 2D mapping of CBF distributions at different depths without the need for complex and time-consuming 3D reconstruction. Conclusions: The depth-sensitive DSCT method has the potential to be used as a noninvasive, noncontact, fast, high resolution, portable, and inexpensive brain imager for basic neuroscience research in small animal models and for translational studies in human neonates.

Indexed as

cerebral blood flowdiffuse speckle contrast topographyneuroimagingparallel computationspeckle contrast diffuse correlation topography

Identifiers

PMID38076725
PMCPMC10704187
OpenAlexW4388668370

What OpenQuestion holds

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Registered trials

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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.