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The biological role of local and global fMRI BOLD signal variability in human brain organization.

Giulia BaracchiniYigu ZhouJason da Silva CastanheiraJustine Y HansenJenny R RieckGary R TurnerCheryl L GradyBratislav MisicJason NomiLucina Q UddinR Nathan Spreng
Published in: bioRxiv : the preprint server for biology (2023)
Variability drives the organization and behavior of complex systems, including the human brain. Understanding the variability of brain signals is thus necessary to broaden our window into brain function and behavior. Few empirical investigations of macroscale brain signal variability have yet been undertaken, given the difficulty in separating biological sources of variance from artefactual noise. Here, we characterize the temporal variability of the most predominant macroscale brain signal, the fMRI BOLD signal, and systematically investigate its statistical, topographical and neurobiological properties. We contrast fMRI acquisition protocols, and integrate across histology, microstructure, transcriptomics, neurotransmitter receptor and metabolic data, fMRI static connectivity, and empirical and simulated magnetoencephalography data. We show that BOLD signal variability represents a spatially heterogeneous, central property of multi-scale multi-modal brain organization, distinct from noise. Our work establishes the biological relevance of BOLD signal variability and provides a lens on brain stochasticity across spatial and temporal scales.
Keyphrases
  • resting state
  • functional connectivity
  • white matter
  • magnetic resonance
  • magnetic resonance imaging
  • big data
  • deep learning
  • data analysis
  • artificial intelligence