Literature DB >> 24565013

Increasing pharmacological knowledge about human neurological and psychiatric disorders through functional neuroimaging and its application in drug discovery.

Pradeep J Nathan1, K Luan Phan2, Catherine J Harmer3, Mitul A Mehta4, Edward T Bullmore5.   

Abstract

Functional imaging methods such as fMRI have been widely used to gain greater understanding of brain circuitry abnormalities in CNS disorders and their underlying neurochemical basis. Findings suggest that: (1) drugs with known clinical efficacy have consistent effects on disease relevant brain circuitry, (2) brain activation changes at baseline or early drug effects on brain activity can predict long-term efficacy; and (3) fMRI together with pharmacological challenges could serve as experimental models of disease phenotypes and be used for screening novel drugs. Together, these observations suggest that drug related modulation of disease relevant brain circuitry may serve as a promising biomarker/method for use in drug discovery to demonstrate target engagement, differential efficacy, dose-response relationships, and prediction of clinically relevant changes.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24565013     DOI: 10.1016/j.coph.2013.11.009

Source DB:  PubMed          Journal:  Curr Opin Pharmacol        ISSN: 1471-4892            Impact factor:   5.547


  17 in total

Review 1.  The effects of antiepileptic drugs on cognitive functional magnetic resonance imaging.

Authors:  Guilherme Coco Beltramini; Fernando Cendes; Clarissa Lin Yasuda
Journal:  Quant Imaging Med Surg       Date:  2015-04

2.  The ABCD study of neurodevelopment: Identifying neurocircuit targets for prevention and treatment of adolescent substance abuse.

Authors:  James M Bjork; Lisa K Straub; Rosellen G Provost; Michael C Neale
Journal:  Curr Treat Options Psychiatry       Date:  2017-04-20

3.  Functional Characterization of 5-HT1B Receptor Drugs in Nonhuman Primates Using Simultaneous PET-MR.

Authors:  Hanne D Hansen; Joseph B Mandeville; Christin Y Sander; Jacob M Hooker; Ciprian Catana; Bruce R Rosen; Gitte M Knudsen
Journal:  J Neurosci       Date:  2017-10-02       Impact factor: 6.167

4.  Comparison of local spectral modulation, and temporal correlation, of simultaneously recorded EEG/fMRI signals during ketamine and midazolam sedation.

Authors:  Anna Forsyth; Rebecca McMillan; Doug Campbell; Gemma Malpas; Elizabeth Maxwell; Jamie Sleigh; Juergen Dukart; Joerg F Hipp; Suresh D Muthukumaraswamy
Journal:  Psychopharmacology (Berl)       Date:  2018-11-14       Impact factor: 4.530

5.  Effects of Ketamine and Midazolam on Simultaneous EEG/fMRI Data During Working Memory Processes.

Authors:  Anna E M Forsyth; Rebecca McMillan; Juergen Dukart; Jörg F Hipp; Suresh D Muthukumaraswamy
Journal:  Brain Topogr       Date:  2021-10-13       Impact factor: 3.020

Review 6.  Pharmacological MRI (phMRI) of the Human Central Nervous System.

Authors:  H Lanfermann; C Schindler; J Jordan; N Krug; P Raab
Journal:  Clin Neuroradiol       Date:  2015-09-02       Impact factor: 3.649

Review 7.  The role of fMRI in drug development.

Authors:  Owen Carmichael; Adam J Schwarz; Christopher H Chatham; David Scott; Jessica A Turner; Jaymin Upadhyay; Alexandre Coimbra; James A Goodman; Richard Baumgartner; Brett A English; John W Apolzan; Preetham Shankapal; Keely R Hawkins
Journal:  Drug Discov Today       Date:  2017-11-15       Impact factor: 7.851

Review 8.  Effect of Pharmacological Interventions on the Fronto-Cingulo-Parietal Cognitive Control Network in Psychiatric Disorders: A Transdiagnostic Systematic Review of fMRI Studies.

Authors:  Thérèse van Amelsvoort; Dennis Hernaus
Journal:  Front Psychiatry       Date:  2016-05-18       Impact factor: 4.157

9.  Pathways to Neuroprediction: Opportunities and challenges to prediction of treatment response in depression.

Authors:  Scott A Langenecker; Natania A Crane; Lisanne M Jenkins; K Luan Phan; Heide Klumpp
Journal:  Curr Behav Neurosci Rep       Date:  2018-01-24

10.  Estimating multivariate similarity between neuroimaging datasets with sparse canonical correlation analysis: an application to perfusion imaging.

Authors:  Maria J Rosa; Mitul A Mehta; Emilio M Pich; Celine Risterucci; Fernando Zelaya; Antje A T S Reinders; Steve C R Williams; Paola Dazzan; Orla M Doyle; Andre F Marquand
Journal:  Front Neurosci       Date:  2015-10-13       Impact factor: 4.677

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