Evidence map›Paper›PMID 40950501›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Depth-Sensitive Cerebral Blood Flow and Low-Frequency Oscillations for Consciousness Assessment Using Time-Gated Diffuse Correlation Spectroscopy.

Sahar Sabaghian, Chien-Sing Poon, Carsi Kim, Christopher H Moore, Irfaan Dar, Timothy M Rambo, Aaron J Miller, Sujith Swarna, Noah Lubin, Sima Mofakkam and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Chien-Sing Poon
Christopher H Moore
Irfaan Dar
Timothy M Rambo
Aaron J Miller
Sujith Swarna
Noah Lubin
Sima Mofakkam
Charles Mikell
Brandon Foreman
Ulas Sunar

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

This study evaluates the feasibility of depth-sensitive bedside monitoring of cerebral blood flow (CBF) and low-frequency oscillations (LFOs) using time-gated diffuse correlation spectroscopy (TG-DCS) in healthy controls, a comatose patient with traumatic brain injury (TBI), and a subject with covert consciousness in the subacute phase. A 1064 nm TG-DCS system with superconducting nanowire single-photon detectors collected 10 min resting-state data from 25 healthy subjects, one comatose patient, and one covertly conscious subject. Photon arrival times were gated to separate superficial and deep signals. The blood flow index (BFI) was extracted from autocorrelation functions, and LFOs quantified via power spectral density in Slow 5 (0.01-0.027 Hz), Slow 4 (0.027-0.073 Hz), and Slow 3 (0.073-0.198 Hz) bands. A "smile" auditory paradigm was delivered to five healthy subjects and the covert case to assess functional responses. LFO power rose progressively from healthy to covert to coma, with larger differences in late-gated signals. Late-gated BFI was higher in injured states. During the smile task, healthy late-gate responses showed a canonical hemodynamic profile, whereas the covert case exhibited delayed reactivity. These findings demonstrate TG-DCS as a noninvasive bedside tool for distinguishing brain states and detecting residual cortical reactivity, supporting validation in larger cohorts.

Identifiers

PMID40950501
PMCPMC12424888

What OpenQuestion holds

Textmetadata
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.