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Cerebral blood flow predicts differential neurotransmitter activity

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 ne...

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Autores principales: Dukart, Juergen, Holiga, Štefan, Chatham, Christopher, Hawkins, Peter, Forsyth, Anna, McMillan, Rebecca, Myers, Jim, Lingford-Hughes, Anne R, Nutt, David J, Merlo-Pich, Emilio, Risterucci, Celine, Boak, Lauren, Umbricht, Daniel, Schobel, Scott, Liu, Thomas, Mehta, Mitul A, Zelaya, Fernando O, Williams, Steve C, Brown, Gregory, Paulus, Martin, Honey, Garry D, Muthukumaraswamy, Suresh, Hipp, Joerg, Bertolino, Alessandro, Sambataro, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840131/
https://www.ncbi.nlm.nih.gov/pubmed/29511260
http://dx.doi.org/10.1038/s41598-018-22444-0
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author Dukart, Juergen
Holiga, Štefan
Chatham, Christopher
Hawkins, Peter
Forsyth, Anna
McMillan, Rebecca
Myers, Jim
Lingford-Hughes, Anne R
Nutt, David J
Merlo-Pich, Emilio
Risterucci, Celine
Boak, Lauren
Umbricht, Daniel
Schobel, Scott
Liu, Thomas
Mehta, Mitul A
Zelaya, Fernando O
Williams, Steve C
Brown, Gregory
Paulus, Martin
Honey, Garry D
Muthukumaraswamy, Suresh
Hipp, Joerg
Bertolino, Alessandro
Sambataro, Fabio
author_facet Dukart, Juergen
Holiga, Štefan
Chatham, Christopher
Hawkins, Peter
Forsyth, Anna
McMillan, Rebecca
Myers, Jim
Lingford-Hughes, Anne R
Nutt, David J
Merlo-Pich, Emilio
Risterucci, Celine
Boak, Lauren
Umbricht, Daniel
Schobel, Scott
Liu, Thomas
Mehta, Mitul A
Zelaya, Fernando O
Williams, Steve C
Brown, Gregory
Paulus, Martin
Honey, Garry D
Muthukumaraswamy, Suresh
Hipp, Joerg
Bertolino, Alessandro
Sambataro, Fabio
author_sort Dukart, Juergen
collection PubMed
description 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 mechanisms of action. We use a novel framework aimed at disentangling the observed effects to contribution from underlying neurotransmitter systems. We find for all evaluated compounds a reliable spatial link of respective cerebral blood flow changes with underlying neurotransmitter receptor densities corresponding to their primary mechanisms of action. The strength of these associations with receptor density is mediated by respective drug affinities. These findings suggest that cerebral blood flow is a sensitive brain-wide in-vivo assay of metabolic demands across a variety of neurotransmitter systems in humans.
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spelling pubmed-58401312018-03-12 Cerebral blood flow predicts differential neurotransmitter activity Dukart, Juergen Holiga, Štefan Chatham, Christopher Hawkins, Peter Forsyth, Anna McMillan, Rebecca Myers, Jim Lingford-Hughes, Anne R Nutt, David J Merlo-Pich, Emilio Risterucci, Celine Boak, Lauren Umbricht, Daniel Schobel, Scott Liu, Thomas Mehta, Mitul A Zelaya, Fernando O Williams, Steve C Brown, Gregory Paulus, Martin Honey, Garry D Muthukumaraswamy, Suresh Hipp, Joerg Bertolino, Alessandro Sambataro, Fabio Sci Rep Article 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 mechanisms of action. We use a novel framework aimed at disentangling the observed effects to contribution from underlying neurotransmitter systems. We find for all evaluated compounds a reliable spatial link of respective cerebral blood flow changes with underlying neurotransmitter receptor densities corresponding to their primary mechanisms of action. The strength of these associations with receptor density is mediated by respective drug affinities. These findings suggest that cerebral blood flow is a sensitive brain-wide in-vivo assay of metabolic demands across a variety of neurotransmitter systems in humans. Nature Publishing Group UK 2018-03-06 /pmc/articles/PMC5840131/ /pubmed/29511260 http://dx.doi.org/10.1038/s41598-018-22444-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Dukart, Juergen
Holiga, Štefan
Chatham, Christopher
Hawkins, Peter
Forsyth, Anna
McMillan, Rebecca
Myers, Jim
Lingford-Hughes, Anne R
Nutt, David J
Merlo-Pich, Emilio
Risterucci, Celine
Boak, Lauren
Umbricht, Daniel
Schobel, Scott
Liu, Thomas
Mehta, Mitul A
Zelaya, Fernando O
Williams, Steve C
Brown, Gregory
Paulus, Martin
Honey, Garry D
Muthukumaraswamy, Suresh
Hipp, Joerg
Bertolino, Alessandro
Sambataro, Fabio
Cerebral blood flow predicts differential neurotransmitter activity
title Cerebral blood flow predicts differential neurotransmitter activity
title_full Cerebral blood flow predicts differential neurotransmitter activity
title_fullStr Cerebral blood flow predicts differential neurotransmitter activity
title_full_unstemmed Cerebral blood flow predicts differential neurotransmitter activity
title_short Cerebral blood flow predicts differential neurotransmitter activity
title_sort cerebral blood flow predicts differential neurotransmitter activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840131/
https://www.ncbi.nlm.nih.gov/pubmed/29511260
http://dx.doi.org/10.1038/s41598-018-22444-0
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