Evidence map›Paper›PMID 37986863›Full record

ArticlebioRxiv : the preprint server for biology2023

Dissecting Multiparametric Cerebral Hemodynamics using Integrated Ultrafast Ultrasound and Multispectral Photoacoustic Imaging.

Haoyang Chen, Shubham Mirg, Prameth Gaddale, Sumit Agrawal, Menghan Li, Van Nguyen, Tianbao Xu, Qiong Li, Jinyun Liu, Wenyu Tu and 5 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

15 authors at 1 institution in 1 country.

Haoyang ChenDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-1708-9200
Shubham MirgDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-1811-6047
Prameth GaddaleDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-5381-8098
Sumit AgrawalDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0001-5053-5896
Menghan LiDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Van NguyenDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Tianbao XuDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Qiong LiDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Jinyun LiuDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Wenyu TuDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-3480-2098
Xiao LiuDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-8459-3135
Patrick J DrewDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-7483-7378
Nanyin ZhangDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-5824-9058
Bruce J GluckmanDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0001-7695-2225
Sri-Rajasekhar KothapalliDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-4010-1047
Pennsylvania State University · US

Funding

Cross-Disciplinary Neural Engineering (CDNE) Training ProgramT32NS115667 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI GLUCKMAN, BRUCE J · 2021 to 2025
$1.1M
NINDS NIH HHS T32 NS115667
6 · The paper itself

Abstract

Understanding brain-wide hemodynamic responses to different stimuli at high spatiotemporal resolutions can help study neuro-disorders and brain functions. However, the existing brain imaging technologies have limited resolution, sensitivity, imaging depth and provide information about only one or two hemodynamic parameters. To address this, we propose a multimodal functional ultrasound and photoacoustic (fUSPA) imaging platform, which integrates ultrafast ultrasound and multispectral photoacoustic imaging methods in a compact head-mountable device, to quantitatively map cerebral blood volume (CBV), cerebral blood flow (CBF), oxygen saturation (SO2) dynamics as well as contrast agent enhanced brain imaging with high spatiotemporal resolutions. After systematic characterization, the fUSPA system was applied to quantitatively study the changes in brain hemodynamics and vascular reactivity at single vessel resolution in response to hypercapnia stimulation. Our results show an overall increase in brain-wide CBV, CBF, and SO2, but regional differences in singular cortical veins and arteries and a reproducible anti-correlation pattern between venous and cortical hemodynamics, demonstrating the capabilities of the fUSPA system for providing multiparametric cerebrovascular information at high-resolution and sensitivity, that can bring insights into the complex mechanisms of neurodiseases.

Identifiers

PMID37986863
PMCPMC10659547
OpenAlexW4388590748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.