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Reliability of task-specific neuronal activation assessed with functional PET, ASL and BOLD imaging
Author(s) -
Lucas Rischka,
Godber Mathis Godbersen,
Verena Pichler,
Paul Michenthaler,
Sebastian Klug,
Manfred Klöbl,
Vera Ritter,
Wolfgang Wadsak,
Marcus Hacker,
Siegfried Kasper,
Rupert Lanzenberger,
Andreas Hahn
Publication year - 2021
Publication title -
journal of cerebral blood flow and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.167
H-Index - 193
eISSN - 1559-7016
pISSN - 0271-678X
DOI - 10.1177/0271678x211020589
Subject(s) - functional imaging , neuroimaging , cerebral blood flow , neuroscience , positron emission tomography , pet imaging , cognition , brain mapping , reliability (semiconductor) , task (project management) , computer science , psychology , medicine , power (physics) , physics , management , quantum mechanics , economics
Mapping the neuronal response during cognitive processing is of crucial importance to gain new insights into human brain function. BOLD imaging and ASL are established MRI methods in this endeavor. Recently, the novel approach of functional PET (fPET) was introduced, enabling absolute quantification of glucose metabolism at rest and during task execution in a single measurement. Here, we report test-retest reliability of fPET in direct comparison to BOLD imaging and ASL. Twenty healthy subjects underwent two PET/MRI measurements, providing estimates of glucose metabolism, cerebral blood flow (CBF) and blood oxygenation. A cognitive task was employed with different levels of difficulty requiring visual-motor coordination. Task-specific neuronal activation was robustly detected with all three imaging approaches. The highest reliability was obtained for glucose metabolism at rest. Although this dropped during task performance it was still comparable to that of CBF. In contrast, BOLD imaging yielded high performance only for qualitative spatial overlap of task effects but not for quantitative comparison. Hence, the combined assessment of fPET and ASL offers reliable and simultaneous absolute quantification of glucose metabolism and CBF at rest and task.

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