2018
DOI: 10.1038/s41598-018-22444-0
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Cerebral blood flow predicts differential neurotransmitter activity

Abstract: Application of metabolic magnetic resonance imaging measures such as cerebral blood flow in translational medicine is limited by the unknown link of observed alterations to specific neurophysiological processes. In particular, the sensitivity of cerebral blood flow to activity changes in specific neurotransmitter systems remains unclear. We address this question by probing cerebral blood flow in healthy volunteers using seven established drugs with known dopaminergic, serotonergic, glutamatergic and GABAergic … Show more

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Cited by 115 publications
(83 citation statements)
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“…The correlation strength between ∆CBF and receptor density measured with PET varied between the different antipsychotics tested (Figure 4). One possible interpretation of this difference might be related to the differential affinities for these compounds to D 2 R (Dukart et al, 2018). Our data seems to be in line with this hypothesis.…”
Section: Differential Strength Of Association Between ∆Cbf and Receptsupporting
confidence: 89%
See 1 more Smart Citation
“…The correlation strength between ∆CBF and receptor density measured with PET varied between the different antipsychotics tested (Figure 4). One possible interpretation of this difference might be related to the differential affinities for these compounds to D 2 R (Dukart et al, 2018). Our data seems to be in line with this hypothesis.…”
Section: Differential Strength Of Association Between ∆Cbf and Receptsupporting
confidence: 89%
“…The use of multimodal approaches, e.g. combining MR measures with exvivo autoradiography (Dukart et al, 2018), have started to fill this gap of knowledge.…”
Section: Introductionmentioning
confidence: 99%
“…The integration between haemodynamic markers and molecular imaging data is still a challenge. Some studies investigated the spatial association between the main effects of different drugs on the CBF and the molecular information from gene-expression, PET or autoradiography data using simple ROI-to-ROI correlations (Dukart et al., 2018; Selvaggi et al., 2018). While this approach has proven its efficacy with ASL data sets, it would be over simplistic if applied to rs-fMRI data, since the temporal dynamics of the BOLD signal would be overlooked.…”
Section: Discussionmentioning
confidence: 99%
“…Distinct relationships were found between drug-induced CBF changes and a range of associated underlying receptor densities. 70…”
Section: Pharmacological Pet/mrimentioning
confidence: 99%