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

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 ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>p</mml:mi> <mml:mo><</mml:mo> <mml:mn>0.05</mml:mn></mml:mrow> </mml:math> ), were more pronounced than BFI alterations alone, indicating that LFOs may serve as sensitive biomarkers of neurovascular disruption. Our findings demonstrate the feasibility of TD-DCS for relative depth-sensitive monitoring of cerebral hemodynamics and oscillatory dynamics after TBI and highlight its potential utility in translational neurotrauma research.

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Publication Details

Journal
Neurophotonics
Published
2026-01-09
DOI
https://doi.org/10.1117/1.nph.13.1.015003
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
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article

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

Aaron Miller, Dharminder S. Langri, Sahar Sabaghian, Chien-Sing Poon et al.
Neurophotonics
Optical Imaging and Spectroscopy Techniques
article

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

Aaron Miller, Dharminder S. Langri, Sahar Sabaghian, Chien-Sing Poon, Timothy M. Rambo, Ulas Sunar
article en

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 ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>p</mml:mi> <mml:mo><</mml:mo> <mml:mn>0.05</mml:mn></mml:mrow> </mml:math> ), were more pronounced than BFI alterations alone, indicating that LFOs may serve as sensitive biomarkers of neurovascular disruption. Our findings demonstrate the feasibility of TD-DCS for relative depth-sensitive monitoring of cerebral hemodynamics and oscillatory dynamics after TBI and highlight its potential utility in translational neurotrauma research.

NeurophotonicsVol. 13(01)
Wright State University (US), Quantum Opus (United States) (US), Stony Brook University (US), University of Cincinnati (US)
Good health and well-being
Openalex Percentile: Top 94%
Optical Imaging and Spectroscopy Techniques
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