DiscoverPaperPlayer biorxiv neuroscienceHigh-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response
High-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response

High-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response

Update: 2023-08-05
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Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2023.08.02.551631v1?rss=1

Authors: Hahn, A., Reed, M. B., Vraka, C., Godbersen, G. M., Klug, S., Komorowski, A., Falb, P., Nics, L., Traub-Weidinger, T., Hacker, M., Lanzenberger, R.

Abstract:
Positron emission tomography (PET) provides precise molecular information on physiological processes, but its low temporal resolution is a major obstacle. Consequently, we characterized the metabolic response of the human brain to working memory performance using an optimized functional PET framework at a temporal resolution of 3 seconds. Consistent with simulated kinetic modeling, we observed a constant increase in the [18F]FDG signal during task execution, followed by a rapid return to baseline after stimulation ceased. The simultaneous acquisition of BOLD fMRI revealed that the temporal coupling between hemodynamic and metabolic signals in the primary motor cortex was related to individual behavioral performance during working memory. Furthermore, task-induced BOLD deactivations in the posteromedial default mode network were accompanied by distinct temporal patterns in glucose metabolism, which depended on the task-positive network metabolic demands. In sum, the proposed approach enables the advancement from parallel to truly synchronized investigation of metabolic and hemodynamic responses during cognitive processing.

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High-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response

High-temporal resolution functional PET/MRI reveals coupling between human metabolic and hemodynamic brain response

Hahn, A., Reed, M. B., Vraka, C., Godbersen, G. M., Klug, S., Komorowski, A., Falb, P., Nics, L., Traub-Weidinger, T., Hacker, M., Lanzenberger, R.