Evidence map›Paper›PMID 41523153›Full record

ArticleNeurophotonics2026

Depth-sensitive assessment of cerebral blood flow and low-frequency oscillations after traumatic brain injury in mice using time-domain diffuse correlation spectroscopy.

Sahar Sabaghian, Chien-Sing Poon, Dharminder S Langri, Timothy M Rambo, Aaron J Miller, Brandon Foreman, Ulas Sunar

Abstract read
In one paragraph

Article in Neurophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sahar SabaghianStony Brook University, Department of Biomedical Engineering, Stony Brook, New York, United States.
Chien-Sing PoonWright State University, Department of Biomedical Engineering, Dayton, Ohio, United States.ORCID https://orcid.org/0000-0002-3064-8209
Dharminder S LangriWright State University, Department of Biomedical Engineering, Dayton, Ohio, United States.
Timothy M RamboQuantum Opus LLC, Plymouth, Michigan, United States.ORCID https://orcid.org/0000-0002-7095-3304
Aaron J MillerQuantum Opus LLC, Plymouth, Michigan, United States.
Brandon ForemanUniversity of Cincinnati, Department of Neurology & Rehabilitation Medicine, Cincinnati, Ohio, United States.ORCID https://orcid.org/0000-0002-5418-674X
Ulas SunarStony Brook University, Department of Biomedical Engineering, Stony Brook, New York, United States.ORCID https://orcid.org/0000-0002-0623-7522

Funding

Quantitative Diffuse Correlation Spectroscopy for Assessing Human Brain FunctionR01EB031759 · NIBIB · WRIGHT STATE UNIVERSITY · PI SUNAR, ULAS · 2021 to 2022
$723k
NIBIB NIH HHS R01 EB031759
6 · The paper itself

Abstract

Traumatic brain injury (TBI) can lead to long-lasting impairments in cerebral perfusion, making early detection of microvascular changes critical for guiding clinical interventions. We employed time-domain diffuse correlation spectroscopy (TD-DCS) at 1064 nm to noninvasively quantify depth-resolved cerebral blood flow (CBF) and low-frequency oscillations (LFOs) in a mouse model of closed-head injury. By analyzing earlier photon arrivals (with greater superficial weighting) and later photon arrivals (with enhanced sensitivity to deeper tissue), we identified a significant drop in CBF shortly after injury, with partial recovery observed at 2 h post-trauma. Power spectral analysis of the blood flow index (BFI, a diffusion coefficient proportional to CBF) revealed significant alterations in LFO bands, particularly in slow-5 (0.01 to 0.027 Hz) and slow-3 (0.073 to 0.198 Hz) ranges. These differences, assessed using a paired Wilcoxon rank-sum test (

Indexed as

cerebral blood flowearly and late gateoptical blood flowtime-domain diffuse correlation spectroscopytraumatic brain injury

Identifiers

PMID41523153
PMCPMC12782954

What OpenQuestion holds

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LicenceCC BY
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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.