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Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
Published on: May 31, 2024
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Mapping Long-Term Functional Changes in Cerebral Blood Flow by Arterial Spin Labeling
Tracy Ssali1,2, Udunna C Anazodo1,2, Yves Bureau1
1Lawson Health Research Institute, London, ON, Canada.
Plos One
|October 6, 2016
Summary
Arterial spin labeling (ASL) can reliably detect functional cerebral blood flow (CBF) changes between separate imaging sessions. This technique shows potential for longitudinal studies with minimal loss in precision over time.
Area of Science:
- Neuroimaging
- Physiology
Background:
- Arterial spin labeling (ASL) is valuable for mapping functional brain activity over time.
- Inter-sessional variations in basal blood flow, arterial transit times (ATTs), and alignment can cause false activation in longitudinal ASL studies.
- Reducing noise sources is crucial for accurate between-session functional ASL analysis.
Purpose of the Study:
- To assess the ability of ASL to detect functional cerebral blood flow (CBF) changes between imaging sessions separated by up to one month.
- To evaluate the impact of inter-sessional variations on the precision and reliability of ASL-based functional activation maps.
Main Methods:
- ASL data were acquired from 7 participants across three sessions to measure ATTs, resting CBF, and motor task-induced CBF changes.
- Activation maps were generated using data from within-session and between-session comparisons (up to one month apart).
- Voxel-wise reproducibility and reliability of resting grey matter CBF were assessed.
Main Results:
- Between-session activation maps showed good agreement with within-session maps, with only a 16% decrease in precision and 13% decrease in Dice similarity coefficient after one month.
- Voxel-wise reproducibility and reliability of resting grey matter CBF decreased by less than 18% for between-session analysis.
- Arterial transit time (ATT) variability between sessions was minimal, with less impact on longitudinal CBF than between-subject variability.
Conclusions:
- Voxel-wise analysis of ASL-derived CBF images acquired on different days is feasible.
- Longitudinal functional brain imaging using ASL can be achieved with only a modest loss in precision.
- ASL demonstrates significant potential for longitudinal neuroimaging studies.
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