Reliability of task-specific neuronal activation assessed with functional PET, ASL and BOLD imaging

Rischka, Lucas; Godbersen, Godber Mathis; Pichler, Verena; Michenthaler, Paul; Klug, Sebastian; Klöbl, Manfred; Ritter, Vera; Wadsak, Wolfgang; Hacker, Marcus; Kasper, Siegfried; Lanzenberger, Rupert; Hahn, Andreas

doi:10.1177/0271678x211020589

Cited by 24 publications

(23 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, they did not compare bolus-infusion with either constant infusion or bolus administration. In a subsequent study from the same group, Riscka et al [ 18 ] demonstrated excellent reliability of fPET at rest with 20% bolus 80% infusion administration; reliability of fPET reduced during task performance; and lowest reliability for BOLD-fMRI during rest and task.…”

Section: Introductionmentioning

confidence: 99%

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

et al. 2022

View full text Add to dashboard Cite

Background “Functional” [18F]-fluorodeoxyglucose positron emission tomography (FDG-fPET) is a new approach for measuring glucose uptake in the human brain. The goal of FDG-fPET is to maintain a constant plasma supply of radioactive FDG in order to track, with high temporal resolution, the dynamic uptake of glucose during neuronal activity that occurs in response to a task or at rest. FDG-fPET has most often been applied in simultaneous BOLD-fMRI/FDG-fPET (blood oxygenation level–dependent functional MRI fluorodeoxyglucose functional positron emission tomography) imaging. BOLD-fMRI/FDG-fPET provides the capability to image the 2 primary sources of energetic dynamics in the brain, the cerebrovascular haemodynamic response and cerebral glucose uptake. Findings In this Data Note, we describe an open access dataset, Monash DaCRA fPET-fMRI, which contrasts 3 radiotracer administration protocols for FDG-fPET: bolus, constant infusion, and hybrid bolus/infusion. Participants (n = 5 in each group) were randomly assigned to each radiotracer administration protocol and underwent simultaneous BOLD-fMRI/FDG-fPET scanning while viewing a flickering checkerboard. The bolus group received the full FDG dose in a standard bolus administration, the infusion group received the full FDG dose as a slow infusion over the duration of the scan, and the bolus-infusion group received 50% of the FDG dose as bolus and 50% as constant infusion. We validate the dataset by contrasting plasma radioactivity, grey matter mean uptake, and task-related activity in the visual cortex. Conclusions The Monash DaCRA fPET-fMRI dataset provides significant reuse value for researchers interested in the comparison of signal dynamics in fPET, and its relationship with fMRI task-evoked activity.

show abstract

Section: Introductionmentioning

confidence: 99%

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

et al. 2022

View full text Add to dashboard Cite

show abstract

“…However, they did not compare bolus-infusion to either constant infusion or bolus administration. In a subsequent study from the same group, Riscka et al[17] demonstrated excellent reliability of fPET at rest with 20% bolus 80% infusion administration; reliability of fPET reduced during task performance; and was lowest for BOLD-fMRI during rest and task.…”

Section: Contextmentioning

confidence: 99%

Monash DaCRA fPET-fMRI: A DAtaset for Comparison of Radiotracer Administration for high temporal resolution functional FDG-PET

Jamadar

Liang

Zhong

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: Functional [18F]-fluorodeoxyglucose positron emission tomography (FDG-fPET) is a new approach for measuring glucose uptake in the human brain. The goal of FDG-fPET is to maintain a constant plasma supply of radioactive FDG in order to track, with high temporal resolution, the dynamic uptake of glucose during neuronal activity that occurs in response to a task or at rest. FDG-fPET has most often been applied in simultaneous BOLD-fMRI/FDG-fPET (blood oxygenation level dependent functional MRI fluorodeoxyglucose functional positron emission tomography) imaging. BOLD-fMRI/FDG-fPET provides the capability to image the two primary sources of energetic dynamics in the brain, the cerebrovascular haemodynamic response and cerebral glucose uptake. Findings: In this Data Note, we describe an open access dataset, Monash DaCRA fPET-fMRI, which contrasts three radiotracer administration protocols for FDG-fPET: bolus, constant infusion, and hybrid bolus/infusion. Participants (n=5 in each group) were randomly assigned to each radiotracer administration protocol and underwent simultaneous BOLD-fMRI/FDG-fPET scanning while viewing a flickering checkerboard. The Bolus group received the full FDG dose in a standard bolus administration; the Infusion group received the full FDG dose as a slow infusion over the duration of the scan, and the Bolus-Infusion group received 50% of the FDG dose as bolus and 50% as constant infusion. We validate the dataset by contrasting plasma radioactivity, grey matter mean uptake, and task-related activity in the visual cortex. Conclusions: The Monash DaCRA fPET-fMRI dataset provides significant re-use value for researchers interested in the comparison of signal dynamics in fPET, and its relationship with fMRI task-evoked activity.

show abstract

“…As no longitudinal MCM studies are available, the sample size was based on previous cross-sectional work using this technique (Hahn et al, 2020;Riedl et al, 2016). Parts of this sample were already included in previous studies for the assessment of cross-sectional data (Hahn et al, 2020) and test-retest reliability (Rischka et al, 2021). At the screening visit, general health of all subjects was ensured through a routine medical examination performed by an experienced psychiatrist, including blood tests, electrocardiography, neurological testing (comprising examinations of mental status, cranial nerves, motor system, deep tendon reflexes, sensation, cerebellum) and the structural clinical interview for DSM-IV.…”

Section: Participantsmentioning

confidence: 99%

“…This multimodal approach has been shown to provide the best model fit (Rischka et al, 2018). Furthermore, including the BOLD changes in the baseline definition does not affect fPET task effects (Rischka et al, 2018) or their test-retest reliability (Rischka et al, 2021). For absolute quantification of glucose metabolism, the Patlak plot was applied to calculate the influx constant, Ki.…”

Section: Cerebral Metabolic Rate Of Glucose Metabolism (Cmrglu)mentioning

confidence: 99%

“…This procedure yields separate maps of CMRGlu at baseline and for each task condition (easy, hard), which were then used as an index of neuronal activation and for computation of metabolic connectivity mapping (see below). The approach has been shown to yield excellent test-retest reliability for CMRGlu at rest and fairto-good reliability during task performance (Rischka et al, 2021).…”

Section: Cerebral Metabolic Rate Of Glucose Metabolism (Cmrglu)mentioning

confidence: 99%

See 1 more Smart Citation

Learning induces coordinated neuronal plasticity of metabolic demands and functional brain networks

Klug

Godbersen

Rischka

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

The neurobiological basis of learning is reflected in adaptations of brain structure, network organization and energy metabolism. However, it is still unknown how different neuroplastic mechanisms act together and if cognitive advancements relate to general or task-specific changes. To address these questions, we tested how hierarchical network interactions contribute to improvements in the performance of a visuo-spatial processing task by employing simultaneous PET/MR neuroimaging before and after a 4-week learning period. We combined functional PET with metabolic connectivity mapping (MCM) to infer directional interactions across brain regions and subsequently performed simulations to disentangle the role of functional network dynamics and glucose metabolism. As a result, learning altered the top-down regulation of the salience network onto the occipital cortex, with increases in MCM at resting-state and decreases during task execution. Accordingly, a higher divergence between resting-state and task-specific effects was associated with better cognitive performance, indicating that these adaptations are complementary and both required for successful skill learning. Simulations further showed that changes at resting-state were dependent on glucose metabolism, whereas those during task performance were driven by functional connectivity between salience and visual networks. Referring to previous work, we suggest that learning establishes a metabolically expensive skill engram at rest, whose retrieval serves for efficient task execution by minimizing prediction errors between neuronal representations of brain regions on different hierarchical levels.

show abstract

Reliability of task-specific neuronal activation assessed with functional PET, ASL and BOLD imaging

Cited by 24 publications

References 48 publications

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Monash DaCRA fPET-fMRI: A DAtaset for Comparison of Radiotracer Administration for high temporal resolution functional FDG-PET

Learning induces coordinated neuronal plasticity of metabolic demands and functional brain networks

Contact Info

Product

Resources

About