Ultra-slow Oscillations in fMRI and Resting-State Connectivity: Neuronal and Vascular Contributions and Technical Confounds

Ultra-slow, ∼0.1-Hz variations in the oxygenation level of brain blood are widely used as an fMRI-based surrogate of “resting-state” neuronal activity. The temporal correlations among these fluctuations across the brain are interpreted as “functional connections” for maps and neurological diagnostic...

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Veröffentlicht in:Neuron (Cambridge, Mass.) Mass.), 2020-09, Vol.107 (5), p.782-804
Hauptverfasser: Drew, Patrick J., Mateo, Celine, Turner, Kevin L., Yu, Xin, Kleinfeld, David
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Sprache:eng
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Zusammenfassung:Ultra-slow, ∼0.1-Hz variations in the oxygenation level of brain blood are widely used as an fMRI-based surrogate of “resting-state” neuronal activity. The temporal correlations among these fluctuations across the brain are interpreted as “functional connections” for maps and neurological diagnostics. Ultra-slow variations in oxygenation follow a cascade. First, they closely track changes in arteriole diameter. Second, interpretable functional connections arise when the ultra-slow changes in amplitude of γ-band neuronal oscillations, which are shared across even far-flung but synaptically connected brain regions, entrain the ∼0.1-Hz vasomotor oscillation in diameter of local arterioles. Significant confounds to estimates of functional connectivity arise from residual vasomotor activity as well as arteriole dynamics driven by self-generated movements and subcortical common modulatory inputs. Last, methodological limitations of fMRI can lead to spurious functional connections. The neuronal generator of ultra-slow variations in γ-band amplitude, including that associated with self-generated movements, remains an open issue. Drew et al. review the linkage of two ultra-slow rhythms in brains: broadband ∼0.1-Hz oscillations in the diameter of arterioles and, similarly, broadband modulation of γ-oscillations in neuronal activity. The linkage underlies “functional connectivity” deduced from BOLD fMRI.
ISSN:0896-6273
1097-4199
DOI:10.1016/j.neuron.2020.07.020