Yen-Yu Ian Shih1
1University of North Carolina, United States
Synopsis
Keywords: Contrast mechanisms: fMRI
fMRI contrast often reflects changes in CBV, CBF, and oxygen metabolism, influenced by complex neuronal inputs and microcircuitry activities. Validating these contrasts involves comparing ground truth to fMRI's indirect measurements, with the understanding that fMRI indicates activity events in brain areas with limited insights into the underlying neuronal processes. This lecture discusses literature that contributes to fMRI's specificity and reproducibility improvements and highlights two animal studies: one examines the impact of often-overlooked vasoactive neurochemicals on fMRI readings, and the other explores an fMRI contrast for measuring neuronal activity, along with nuances in its acquisition and analysis that could introduce artifacts.
Huber et al., NeuroImage, 2019, Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2
https://pubmed.ncbi.nlm.nih.gov/28736310/
Fukuda et al., Philos Trans R Soc Lond B Biol Sci, 2021, Time-dependent spatial specificity of high-resolution fMRI: insights into mesoscopic neurovascular coupling
https://pubmed.ncbi.nlm.nih.gov/33190606/
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https://pubmed.ncbi.nlm.nih.gov/23384528/
Grandjean et al., NeuroImage, 2020, Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis
https://pubmed.ncbi.nlm.nih.gov/31614221/
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https://pubmed.ncbi.nlm.nih.gov/36791185/
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https://pubmed.ncbi.nlm.nih.gov/34478824/
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https://pubmed.ncbi.nlm.nih.gov/36973511/
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https://pubmed.ncbi.nlm.nih.gov/37576436/
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https://pubmed.ncbi.nlm.nih.gov/28053326/
Hallquist and Hillary, Network Neurosci, 2018, Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world
https://pubmed.ncbi.nlm.nih.gov/30793071/
Botvinik-Nezer et al., Nature, 2020, Variability in the analysis of a single neuroimaging dataset by many teams
https://pubmed.ncbi.nlm.nih.gov/32483374/
Caeyenberghs et al., NeuroImage: Clinical, 2024, ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury
https://pubmed.ncbi.nlm.nih.gov/38531165/
Gordon et al., Neuron, 2017, Precision Functional Mapping of Individual Human Brains,
https://pubmed.ncbi.nlm.nih.gov/28757305/
Poldrack et al., Nat Commun, 2015, Long-term neural and physiological phenotyping of a single human
https://pubmed.ncbi.nlm.nih.gov/26648521/
Cerri et al., Nat Commun, 2024, Distinct neurochemical influences on fMRI response polarity in the striatum
https://pubmed.ncbi.nlm.nih.gov/38429266/
Walton et al., NeuroImage, 2021, Simultaneous fMRI and fast-scan cyclic voltammetry bridges evoked oxygen and neurotransmitter dynamics across spatiotemporal scales
https://pubmed.ncbi.nlm.nih.gov/34624504/
Chao et al., Neurophotonics, 2022, Computing hemodynamic response functions from concurrent spectral fiber-photometry and fMRI data
https://pubmed.ncbi.nlm.nih.gov/35005057/
Zhang et al., STAR Protocols, 2022, Simultaneous recording of neuronal and vascular activity in the rodent brain using fiber-photometry
https://pubmed.ncbi.nlm.nih.gov/35776651/
Zhang., Cell Reports Methods, 2022, Spectral fiber photometry derives hemoglobin concentration changes for accurate measurement of fluorescent sensor activity
https://pubmed.ncbi.nlm.nih.gov/35880016/
Oyarzabal et al., Science Advances, 2022, Chemogenetic stimulation of tonic locus coeruleus activity strengthens the default mode network
https://pubmed.ncbi.nlm.nih.gov/35486721/
Silva and Koretsky. PNAS, 2002, Laminar specificity of functional MRI onset times during somatosensory stimulation in rat
https://pubmed.ncbi.nlm.nih.gov/12407177/
Toi et al., Science, 2022, In vivo direct imaging of neuronal activity at high temporospatial resolution
https://pubmed.ncbi.nlm.nih.gov/36227975/
Choi et al., Science Advances, 2024, No Replication of Direct Neuronal Activity-related (DIANA) fMRI in Anesthetized Mice
https://pubmed.ncbi.nlm.nih.gov/37398157/
Phi Van et al., Science Advances, 2024, A different interpretation of the DIANA fMRI signal
https://pubmed.ncbi.nlm.nih.gov/38536916/Acknowledgements
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