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Dryad

Data from: Reconfiguration of functional brain networks and metabolic cost converge during task performance

Cite this dataset

Hahn, Andreas et al. (2020). Data from: Reconfiguration of functional brain networks and metabolic cost converge during task performance [Dataset]. Dryad. https://doi.org/10.5061/dryad.zcrjdfn7p

Abstract

The ability to solve cognitive tasks depends upon adaptive changes in the organization of whole-brain functional networks. However, the link between task-induced network reconfigurations and their underlying energy demands is poorly understood. We address this by multimodal network analyses integrating functional and molecular neuroimaging acquired concurrently during a complex cognitive task. Task engagement elicited a marked increase in the association between glucose consumption and functional brain network reorganization. This convergence between metabolic and neural processes was specific to feedforward connections linking the visual and dorsal attention networks, in accordance with task requirements of visuo-spatial reasoning. Further increases in cognitive load above initial task engagement did not affect the relationship between metabolism and network reorganization but only modulated existing interactions. Our findings show how the upregulation of key computational mechanisms to support cognitive performance unveils the complex, interdependent changes in neural metabolism and neuro-vascular responses.

Methods

Data of 22 healthy human participants was collected using simultaneous PET/MR imaging at rest and during task performance (easy and hard level).

Data are processed and include individual brain maps in MNI-space of glucose metabolism, cerebral blood flow, BOLD task effects and functional connectivity. Individual DCM results from BOLD imaging are provided.

Group results include separate one-sample t-tests for each imaging modality. The conjunction map represents the intersection of group task effects (hard level) across glucose metabolism, cerebral blood flow and BOLD changes.

Data are fully anonymized.

Funding

FWF Austrian Science Fund, Award: FWF KLI 610

Austrian Academy of Sciences

Australian National Health Medical Research Council, Award: 1099082

Australian National Health Medical Research Council, Award: 1138711

Australian National Health Medical Research Council, Award: 1099082