Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistryReport as inadecuate




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Reference: Khalili-Mahani, N, Rombouts, SA, van Osch, MJ et al., (2017). Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry. Human Brain Mapping, 38 (4), 2276-2325.Citable link to this page:

 

Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry

Abstract: A decade of research and development in resting-state functional MRI (RSfMRI) has opened new translational and clinical research frontiers. This review aims to bridge between technical and clinical researchers who seek reliable neuroimaging biomarkers for studying drug interactions with the brain. About 85 pharma-RSfMRI studies using BOLD signal (75% of all) or arterial spin labeling (ASL) were surveyed to investigate the acute effects of psychoactive drugs. Experimental designs and objectives include drug fingerprinting dose-response evaluation, biomarker validation and calibration, and translational studies. Common biomarkers in these studies include functional connectivity, graph metrics, cerebral blood flow and the amplitude and spectrum of BOLD fluctuations. Overall, RSfMRI-derived biomarkers seem to be sensitive to spatiotemporal dynamics of drug interactions with the brain. However, drugs cause both central and peripheral effects, thus exacerbate difficulties related to biological confounds, structured noise from motion and physiological confounds, as well as modeling and inference testing. Currently, these issues are not well explored, and heterogeneities in experimental design, data acquisition and preprocessing make comparative or meta-analysis of existing reports impossible. A unifying collaborative framework for data-sharing and data-mining is thus necessary for investigating the commonalities and differences in biomarker sensitivity and specificity, and establishing guidelines. Multimodal datasets including sham-placebo or active control sessions and repeated measurements of various psychometric, physiological, metabolic and neuroimaging phenotypes are essential for pharmacokinetic/pharmacodynamic modeling and interpretation of the findings. We provide a list of basic minimum and advanced options that can be considered in design and analyses of future pharma-RSfMRI studies. Hum Brain Mapp 38:2276-2325, 2017. © 2017 Wiley Periodicals, Inc.

Publication status:PublishedPeer Review status:Peer reviewedVersion:Publisher's versionDate of acceptance:2017-01-04 Funder: Concordia University, Montreal   Funder: Ludmer Foundation and McGill Centre for Inte-grative Neuroscience   Funder: Netherlands Organization for Scientific Research   Notes:This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Bibliographic Details

Publisher: Wiley

Publisher Website: http://eu.wiley.com/WileyCDA/

Journal: Human Brain Mappingsee more from them

Publication Website: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193

Volume: 38

Issue: 4

Issue Date: 2017-02-01

pages:2276-2325Identifiers

Doi: https://doi.org/10.1002/hbm.23516

Eissn: 1097-0193

Issn: 1065-9471

Uuid: uuid:c562c96c-0c76-4b5a-b4ae-54a0f110a5ee

Urn: uri:c562c96c-0c76-4b5a-b4ae-54a0f110a5ee

Pubs-id: pubs:679731 Item Description

Type: journal-article;

Language: eng

Version: Publisher's versionKeywords: PK/PD modeling arterial spin labeling biomarkers brain chemistry drug functional connectivity pharma-fMRI pharmacological neuroimaging resting state fMRI translational research

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Author: Khalili-Mahani, N - - - Rombouts, SA - - - van Osch, MJ - - - Duff, E - Oxford, MSD, Clinical Neurosciences - - - Carbonell, F -

Source: https://ora.ox.ac.uk/objects/uuid:c562c96c-0c76-4b5a-b4ae-54a0f110a5ee



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