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

Drew, P., Mateo, C., Turner, K., Yu, X., & Kleinfeld, D. (2020). Ultra-slow Oscillations in fMRI and Resting-State Connectivity: Neuronal and Vascular Contributions and Technical Confounds. Neuron, 107(5), 782-804. doi:10.1016/j.neuron.2020.07.020.

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Drew, PJ, Autor
Mateo, C, Autor
Turner, KL, Autor
Yu, X1, 2, Autor           
Kleinfeld, D, Autor
Affiliations:
1Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528695              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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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.

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 Datum: 2020-082020-09
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1016/j.neuron.2020.07.020
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Titel: Neuron
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge, Mass. : Cell Press
Seiten: - Band / Heft: 107 (5) Artikelnummer: - Start- / Endseite: 782 - 804 Identifikator: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565