Journal Article

FZJ-2019-06337

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Modulation of simultaneously collected hemodynamic and electrophysiological functional connectivity by ketamine and midazolam

Forsyth, A. (Corresponding author) ; McMillan, R. ; Campbell, D. ; Malpas, G. ; Maxwell, E. ; Sleigh, J. ; Dukart, J.FZJ* ; Hipp, J. ; Muthukumaraswamy, S. D.

2020
Wiley-Liss New York, NY

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Please use a persistent id in citations: http://hdl.handle.net/2128/24581  doi:10.1002/hbm.24889

Abstract: The pharmacological modulation of functional connectivity in the brain may under-lie therapeutic efficacy for several neurological and psychiatric disorders. Functionalmagnetic resonance imaging (fMRI) provides a noninvasive method of assessing thismodulation, however, the indirect nature of the blood-oxygen level dependent sig-nal restricts the discrimination of neural from physiological contributions. Here wefollowed two approaches to assess the validity of fMRI functional connectivity indeveloping drug biomarkers, using simultaneous electroencephalography (EEG)/fMRI in a placebo-controlled, three-way crossover design with ketamine andmidazolam. First, we compared seven different preprocessing pipelines to deter-mine their impact on the connectivity of common resting-state networks. Indepen-dent components analysis (ICA)-denoising resulted in stronger reductions inconnectivity after ketamine, and weaker increases after midazolam, than pipelinesemploying physiological noise modelling or averaged signals from cerebrospinalfluid or white matter. This suggests that pipeline decisions should reflect a drug'sunique noise structure, and if this is unknown then accepting possible signal losswhen choosing extensive ICA denoising pipelines could engender more confidencein the remaining results. We then compared the temporal correlation structure offMRI to that derived from two connectivity metrics of EEG, which provides a directmeasure of neural activity. While electrophysiological estimates based on thepower envelope were more closely aligned to BOLD signal connectivity than thosebased on phase consistency, no significant relationship between the change in electrophysiological and hemodynamic correlation structures was found, implyingcaution should be used when making cross-modal comparisons of pharmacologically-modulated functional connectivity.

Note: This work was funded by F Hoffman La Roche Ltd.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 573 - Neuroimaging (POF3-573) (POF3-573)

Appears in the scientific report 2020

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Database coverage:
; ; ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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