Evidence map›Paper›PMID 41219437›Full record

ArticleCommunications biology2025

Mapping human cerebral blood flow with high-density, multi-channel speckle contrast optical spectroscopy.

Byungchan Kenny Kim, Alexander C Howard, Tom Y Cheng, Jessica E Anderson, Bernhard B Zimmermann, Eric Hazen, Laura Carlton, Mitchell Robinson, Marco Renna, Meryem A Yucel and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Validation of the Linearity in Image Reconstruction Methods for Speckle Contrast Optical Tomography.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Byungchan Kenny Kim *Neurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5144-7644
Alexander C Howard *Neurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0009-0001-5943-0967
Tom Y ChengNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3220-7471
Jessica E AndersonNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4549-8717
Bernhard B ZimmermannNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Eric HazenNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Laura CarltonNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Mitchell RobinsonOptics at Martinos Center, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.ORCID http://orcid.org/0000-0001-5810-0459
Marco RennaOptics at Martinos Center, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.ORCID http://orcid.org/0000-0002-8143-5131
Meryem A YucelNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4291-2847
Stefan A CarpOptics at Martinos Center, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
Maria Angela FranceschiniOptics at Martinos Center, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
David A BoasNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6709-7711
Xiaojun ChengNeurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA. xcheng17@bu.edu.ORCID http://orcid.org/0000-0002-3568-0603

Funding

Low-Cost High-Performance NIRS-SCOS Device for Non-Invasive Monitoring of Cerebral Blood Flow and Intracranial Pressure in Traumatic Brain InjuryR01NS135081 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Maria Angela Franceschini · 2024 to 2026
$2.0M
A transformative method for functional brain imaging with Speckle Contrast Optical SpectroscopyUG3EB034710 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BOAS, DAVID A, CHENG, XIAOJUN · 2023 to 2025
$1.1M
NIBIB NIH HHS UG3 EB034710NINDS NIH HHS R01 NS135081
6 · The paper itself

Abstract

Recently, speckle contrast optical spectroscopy (SCOS) enabled non-invasive, high signal-to-noise-ratio (SNR) human cerebral blood flow (CBF) measurements, relevant for both neuroscience and clinical monitoring of diseases with CBF dysregulation. Single-channel SCOS measurements limit the information obtained to only one location on the head. In this work, we develop a multi-channel SCOS system to map spatial heterogeneity in CBF changes during human brain activation. Using a galvanometer, we temporally multiplex a free-space laser to 7 source fibers positioned at different locations on the head. Diffuse light collected from the tissue is captured by fiber bundles projecting to 17 complementary metal-oxide semiconductor (CMOS) cameras, resulting in 50 source-detector channels measuring optical density (OD) and relative CBF changes covering an area of 7.6 cm by 6.6 cm on the head. We validate the spatial specificity and stability of the system using a liquid flow phantom. We then measure brain activity during a word-color Stroop task in 15 subjects and obtain brain activation maps. The average signal changes in the channel showing the largest activation is

Indexed as

BrainBrain MappingCerebrovascular CirculationSpectrum AnalysisAdultFemaleHumansMalePhantoms, Imaging

Identifiers

PMID41219437
PMCPMC12606190

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.