Literature DB >> 21447280

Biomarkers for chronic pain and analgesia. Part 2: how, where, and what to look for using functional imaging.

David Borsook1, Lino Becerra, Richard Hargreaves.   

Abstract

Rapid advances in brain imaging chronic pain patients have yielded exciting data sets that could provide the basis for the development of chronic pain biomarkers that could increase the probability of success in analgesic drug development, aid clinicians in understanding, tracking, and treating disease, and link patients to the most effective therapies for their pain conditions. This review explores the potential of brain imaging techniques to detect functional, morphometric, and chemical changes that could serve as biomarkers for disease state and therapeutic efficacy. An important area for future research is to image clinical ongoing pain to further our knowledge of brain function in different pain states and the effects of treatment.

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Year:  2011        PMID: 21447280

Source DB:  PubMed          Journal:  Discov Med        ISSN: 1539-6509            Impact factor:   2.970


  35 in total

Review 1.  Neurological diseases and pain.

Authors:  David Borsook
Journal:  Brain       Date:  2011-11-08       Impact factor: 13.501

Review 2.  Biomarkers for Musculoskeletal Pain Conditions: Use of Brain Imaging and Machine Learning.

Authors:  Jeff Boissoneault; Landrew Sevel; Janelle Letzen; Michael Robinson; Roland Staud
Journal:  Curr Rheumatol Rep       Date:  2017-01       Impact factor: 4.592

Review 3.  The young brain and concussion: imaging as a biomarker for diagnosis and prognosis.

Authors:  Esteban Toledo; Alyssa Lebel; Lino Becerra; Anna Minster; Clas Linnman; Nasim Maleki; David W Dodick; David Borsook
Journal:  Neurosci Biobehav Rev       Date:  2012-03-28       Impact factor: 8.989

Review 4.  Lost but making progress--Where will new analgesic drugs come from?

Authors:  David Borsook; Richard Hargreaves; Chas Bountra; Frank Porreca
Journal:  Sci Transl Med       Date:  2014-08-13       Impact factor: 17.956

Review 5.  Migrainomics - identifying brain and genetic markers of migraine.

Authors:  Dale R Nyholt; David Borsook; Lyn R Griffiths
Journal:  Nat Rev Neurol       Date:  2017-11-17       Impact factor: 42.937

6.  Negative mood influences default mode network functional connectivity in patients with chronic low back pain: implications for functional neuroimaging biomarkers.

Authors:  Janelle E Letzen; Michael E Robinson
Journal:  Pain       Date:  2017-01       Impact factor: 6.961

7.  Placebo Effects on the Neurologic Pain Signature: A Meta-analysis of Individual Participant Functional Magnetic Resonance Imaging Data.

Authors:  Matthias Zunhammer; Ulrike Bingel; Tor D Wager
Journal:  JAMA Neurol       Date:  2018-11-01       Impact factor: 18.302

8.  Test-retest reliability of pain-related brain activity in healthy controls undergoing experimental thermal pain.

Authors:  Janelle E Letzen; Landrew S Sevel; Charles W Gay; Andrew M O'Shea; Jason G Craggs; Donald D Price; Michael E Robinson
Journal:  J Pain       Date:  2014-07-03       Impact factor: 5.820

Review 9.  Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges.

Authors:  Stephen Bruehl; A Vania Apkarian; Jane C Ballantyne; Ann Berger; David Borsook; Wen G Chen; John T Farrar; Jennifer A Haythornthwaite; Susan D Horn; Michael J Iadarola; Charles E Inturrisi; Lixing Lao; Sean Mackey; Jianren Mao; Andrea Sawczuk; George R Uhl; James Witter; Clifford J Woolf; Jon-Kar Zubieta; Yu Lin
Journal:  J Pain       Date:  2013-02       Impact factor: 5.820

10.  The Effect of Base Rate on the Predictive Value of Brain Biomarkers.

Authors:  Michael Robinson; Jeff Boissoneault; Landrew Sevel; Janelle Letzen; Roland Staud
Journal:  J Pain       Date:  2016-04-08       Impact factor: 5.820

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