Work

Differences in time-frequency characteristics between healthy controls and TBI patients during hypercapnia assessed via fNIRS

Year: 2023

Type: article

Abstract: Damage to cerebrovascular network is a universal feature of traumatic brain injury (TBI). This damage is present during different phases of the injury and can be non-invasively assessed using functional near infrared spectroscopy (fNIRS). fNIRS signals are influenced by partial arterial carbon dioxide (PaCO2), neurogenic, Mayer waves, respiratory and cardiac factors, whose characteristics not only vary in time and frequency, but also may differ in the presence of TBI. Therefore, this study aims to investigate differences in time-frequency characteristics of these fNIRS signal components between healthy controls and TBI patients and characterize the temporal changes after injury. Data from 11 healthy controls and 21 TBI patients were collected during hypercapnic protocol. Results demonstrated significant differences in low-frequency oscillations between healthy controls and TBI patients, with largest differences observed in Mayer wave (0.06 to 0.15 Hz), and PaCO2 (0.012 to 0.02 Hz) bands. The effects within these bands were opposite in nature, with (i) Mayer wave activity being lower in TBI patients during acute phase of the injury (d = 0.37 [0.16, 0.57]) and decreasing further during subacute (d = 0.66 [0.44, 0.87]) and postacute (d = 0.75 [0.50, 0.99]) phases; (ii) PaCO2 activity being lower in TBI patients during acute phase of the injury (d = 0.36 [0.15, 0.56]) and increasing during subacute (d = 0.30 [0.09, 0.52]) and postacute (d = 0.67 [0.43, 0.91]) phases. These findings demonstrate that TBI patients have impairments in low frequency oscillations related to different mechanisms and that these impairments evolve differently over the course of injury.

Source: NeuroImage Clinical

DOI: 10.1016/j.nicl.2023.103504

Authors: Pratusha Reddy, Kurtulus Izzetoglu, Patricia A. Shewokis, Michael Sangobowale, Ramon Diaz-Arrastia

Institutions: Drexel University, University of Pennsylvania

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,400