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Brain-wide Functional Connectivity Artifactually Inflates Throughout Functional Magnetic Resonance Imaging Scans

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Journal Nat Hum Behav
Date 2024 Jun 19
PMID 38898230
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Abstract

Functional magnetic resonance imaging (fMRI) is a central tool for investigating human brain function, organization and disease. Here, we show that fMRI-based estimates of functional brain connectivity artifactually inflate at spatially heterogeneous rates during resting-state and task-based scans. This produces false positive connection strength changes and spatial distortion of brain connectivity maps. We demonstrate that this artefact is driven by temporal inflation of the non-neuronal, systemic low-frequency oscillation (sLFO) blood flow signal during fMRI scanning and is not addressed by standard denoising procedures. We provide evidence that sLFO inflation reflects perturbations in cerebral blood flow by respiration and heart rate changes that accompany diminishing arousal during scanning, although the mechanisms of this pathway are uncertain. Finally, we show that adding a specialized sLFO denoising procedure to fMRI processing pipelines mitigates the artifactual inflation of functional connectivity, enhancing the validity and within-scan reliability of fMRI findings.

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References
1.
Gu Y, Sainburg L, Han F, Liu X . Simultaneous EEG and functional MRI data during rest and sleep from humans. Data Brief. 2023; 48:109059. PMC: 10060583. DOI: 10.1016/j.dib.2023.109059. View

2.
Tong Y, Frederick B . Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain. Neuroimage. 2010; 53(2):553-64. PMC: 3133965. DOI: 10.1016/j.neuroimage.2010.06.049. View

3.
Duyn J, Ozbay P, Chang C, Picchioni D . Physiological changes in sleep that affect fMRI inference. Curr Opin Behav Sci. 2020; 33:42-50. PMC: 7328858. DOI: 10.1016/j.cobeha.2019.12.007. View

4.
Korponay C, Stein E, Ross T . Misconfigured striatal connectivity profiles in smokers. Neuropsychopharmacology. 2022; 47(12):2081-2089. PMC: 9556661. DOI: 10.1038/s41386-022-01366-6. View

5.
Pinto J, Bright M, Bulte D, Figueiredo P . Cerebrovascular Reactivity Mapping Without Gas Challenges: A Methodological Guide. Front Physiol. 2021; 11:608475. PMC: 7848198. DOI: 10.3389/fphys.2020.608475. View