Journal article
Giulia Baracchini, Yigu Zhou, Jason da Silva Castanheira, J. Hansen, Jenny Rieck, G. R. Turner, Cheryl L. Grady, B. Mišić, Jason Nomi, L. Uddin, R. N. Spreng
bioRxiv, 2023
bioRxiv, 2023
Semantic Scholar
DOI
PubMedCentral
PubMed
Cite
Cite
APA
Click to copy
Baracchini, G., Zhou, Y., da Silva Castanheira, J., Hansen, J., Rieck, J., Turner, G. R., … Spreng, R. N. (2023). The biological role of local and global fMRI BOLD signal variability in human brain organization. BioRxiv.
Chicago/Turabian
Click to copy
Baracchini, Giulia, Yigu Zhou, Jason da Silva Castanheira, J. Hansen, Jenny Rieck, G. R. Turner, Cheryl L. Grady, et al. “The Biological Role of Local and Global FMRI BOLD Signal Variability in Human Brain Organization.” bioRxiv (2023).
MLA
Click to copy
Baracchini, Giulia, et al. “The Biological Role of Local and Global FMRI BOLD Signal Variability in Human Brain Organization.” BioRxiv, 2023.
BibTeX Click to copy
@article{giulia2023a,
title = {The biological role of local and global fMRI BOLD signal variability in human brain organization},
year = {2023},
journal = {bioRxiv},
author = {Baracchini, Giulia and Zhou, Yigu and da Silva Castanheira, Jason and Hansen, J. and Rieck, Jenny and Turner, G. R. and Grady, Cheryl L. and Mišić, B. and Nomi, Jason and Uddin, L. and Spreng, R. N.}
}
Abstract
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.