Mapping Long-Term Functional Changes in Cerebral Blood Flow by Arterial Spin Labeling
| Autor: | Bradley J. MacIntosh, Yves Bureau, Matthias Günther, Udunna C. Anazodo, Keith St. Lawrence, Tracy Ssali |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Central Nervous System
Male Physiology lcsh:Medicine Cardiovascular Analysis Nervous System Diagnostic Radiology 030218 nuclear medicine & medical imaging Mathematical and Statistical Techniques 0302 clinical medicine Thalamus Blood Flow Functional Magnetic Resonance Imaging Medicine and Health Sciences Image Processing Computer-Assisted Medicine lcsh:Science Cerebral Blood Flow Assay Brain Mapping Multidisciplinary Radiology and Imaging Brain Hematology Arteries Magnetic Resonance Imaging Healthy Volunteers Body Fluids Blood Bioassays and Physiological Analysis Data Acquisition Cerebral blood flow Physical Sciences Arterial spin labeling Female Analysis of variance Anatomy Statistics (Mathematics) Research Article Computer and Information Sciences Imaging Techniques Neuroimaging Transit time Motor Activity Research and Analysis Methods Young Adult 03 medical and health sciences Arterial Spin Labelling Diagnostic Medicine Humans Statistical Methods Motor activation Analysis of Variance Reproducibility business.industry lcsh:R Biology and Life Sciences Blood flow Functional activity Spin Labels lcsh:Q Nuclear medicine business Mathematics 030217 neurology & neurosurgery Neuroscience |
| Zdroj: | PLoS ONE, Vol 11, Iss 10, p e0164112 (2016) Paediatrics Publications PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Although arterial spin labeling (ASL) is appealing for mapping long-term changes in functional activity, inter-sessional variations in basal blood flow, arterial transit times (ATTs), and alignment errors, can result in significant false activation when comparing images from separate sessions. By taking steps to reduce these sources of noise, this study assessed the ability of ASL to detect functional CBF changes between sessions. ASL data were collected in three sessions to image ATT, resting CBF and CBF changes associated with motor activation (7 participants). Activation maps were generated using rest and task images acquired in the same session and from sessions separated by up to a month. Good agreement was found when comparing between-session activation maps to within-session activation maps with only a 16% decrease in precision (within-session: 90 ± 7%) and a 13% decrease in the Dice similarity (within-session: 0.75 ± 0.07) coefficient after a month. In addition, voxel-wise reproducibility (within-session: 4.7 ± 4.5%) and reliability (within-session: 0.89 ± 0.20) of resting grey-matter CBF decreased by less than 18% for the between-session analysis relative to within-session values. ATT variability between sessions (5.0 ± 2.7%) was roughly half the between-subject variability, indicating that its effects on longitudinal CBF were minimal. These results demonstrate that conducting voxel-wise analysis on CBF images acquired on different days is feasible with only modest loss in precision, highlighting the potential of ASL for longitudinal studies. |
| Databáze: | OpenAIRE |
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