TY - JOUR
PY - 2019//
TI - Test-retest reliability of cerebral blood flow for assessing brain function at rest and during a vigilance task
JO - NeuroImage
A1 - Yang, Fan Nils
A1 - Xu, Sihua
A1 - Spaeth, Andrea
A1 - Galli, Olga
A1 - Zhao, Ke
A1 - Fang, Zhuo
A1 - Basner, Mathias
A1 - Dinges, David F.
A1 - Detre, John A.
A1 - Rao, Hengyi
SP - 157
EP - 166
VL - 193
IS -
N2 - Arterial spin labeled (ASL) perfusion magnetic resonance imaging (MRI) is increasingly used to assess regional brain activity and cerebrovascular function in both healthy and clinical populations. ASL perfusion imaging provides a quantitative measure of regional brain activity by determining absolute cerebral blood flow (CBF) values at a resting state or during task performance. However, the comparative reliability of these ASL measures is not well characterized. It is also unclear whether the test-retest reliability of absolute CBF or task-induced CBF change measures would be comparable to the reliability of task performance. In this study, fifteen healthy participants were scanned three times in a strictly controlled in-laboratory study while at rest and during performing a simple and reliable psychomotor vigilance test (PVT). The reliability of absolute CBF and task-induced CBF changes was evaluated using the intraclass correlation coefficient (ICC) and compared to that of task performance. Absolute CBF showed excellent test-retest reliability across the three scans for both resting and PVT scans. The reliability of regional absolute CBF was comparable to that of behavioral measures of PVT performance, and was slightly higher during PVT scans as compared with resting scans. Task-induced regional CBF changes demonstrated only poor to moderate reliability across three scans. These findings suggest that absolute CBF measures are more reliable than task-induced CBF changes for characterizing regional brain function, especially for longitudinal and clinical studies.
Copyright © 2019. Published by Elsevier Inc.
Language: en
LA - en SN - 1053-8119 UR - http://dx.doi.org/10.1016/j.neuroimage.2019.03.016 ID - ref1 ER -