» Articles » PMID: 37961684

The Biological Role of Local and Global FMRI BOLD Signal Variability in Human Brain Organization

Overview
Journal bioRxiv
Date 2023 Nov 14
PMID 37961684
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Extracting interpretable signatures of whole-brain dynamics through systematic comparison.

Bryant A, Aquino K, Parkes L, Fornito A, Fulcher B PLoS Comput Biol. 2024; 20(12):e1012692.

PMID: 39715231 PMC: 11706466. DOI: 10.1371/journal.pcbi.1012692.

References
1.
Battaglia D, Boudou T, Hansen E, Lombardo D, Chettouf S, Daffertshofer A . Dynamic Functional Connectivity between order and randomness and its evolution across the human adult lifespan. Neuroimage. 2020; 222:117156. DOI: 10.1016/j.neuroimage.2020.117156. View

2.
Markello R, Misic B . Comparing spatial null models for brain maps. Neuroimage. 2021; 236:118052. DOI: 10.1016/j.neuroimage.2021.118052. View

3.
Medel V, Irani M, Crossley N, Ossandon T, Boncompte G . Complexity and 1/f slope jointly reflect brain states. Sci Rep. 2023; 13(1):21700. PMC: 10709649. DOI: 10.1038/s41598-023-47316-0. View

4.
Romero-Garcia R, Whitaker K, Vasa F, Seidlitz J, Shinn M, Fonagy P . Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex. Neuroimage. 2017; 171:256-267. PMC: 5883331. DOI: 10.1016/j.neuroimage.2017.12.060. View

5.
Murray J, Bernacchia A, Freedman D, Romo R, Wallis J, Cai X . A hierarchy of intrinsic timescales across primate cortex. Nat Neurosci. 2014; 17(12):1661-3. PMC: 4241138. DOI: 10.1038/nn.3862. View