Literature DB >> 34102707

3D magnetic resonance spectroscopic imaging reveals links between brain metabolites and multidimensional pain features in fibromyalgia.

Jeungchan Lee1, Ovidiu C Andronesi1, Angel Torrado-Carvajal1,2, Eva-Maria Ratai1, Marco L Loggia1, Akila Weerasekera1, Michael P Berry1, Dan-Mikael Ellingsen1,3, Laura Isaro4, Asimina Lazaridou4, Myrella Paschali4, Arvina Grahl1, Ajay D Wasan5, Robert R Edwards4, Vitaly Napadow1,4.   

Abstract

BACKGROUND: Fibromyalgia is a centralized multidimensional chronic pain syndrome, but its pathophysiology is not fully understood.
METHODS: We applied 3D magnetic resonance spectroscopic imaging (MRSI), covering multiple cortical and subcortical brain regions, to investigate the association between neuro-metabolite (e.g. combined glutamate and glutamine, Glx; myo-inositol, mIno; and combined (total) N-acetylaspartate and N-acetylaspartylglutamate, tNAA) levels and multidimensional clinical/behavioural variables (e.g. pain catastrophizing, clinical pain severity and evoked pain sensitivity) in women with fibromyalgia (N = 87).
RESULTS: Pain catastrophizing scores were positively correlated with Glx and tNAA levels in insular cortex, and negatively correlated with mIno levels in posterior cingulate cortex (PCC). Clinical pain severity was positively correlated with Glx levels in insula and PCC, and with tNAA levels in anterior midcingulate cortex (aMCC), but negatively correlated with mIno levels in aMCC and thalamus. Evoked pain sensitivity was negatively correlated with levels of tNAA in insular cortex, MCC, PCC and thalamus.
CONCLUSIONS: These findings support single voxel placement targeting nociceptive processing areas in prior 1 H-MRS studies, but also highlight other areas not as commonly targeted, such as PCC, as important for chronic pain pathophysiology. Identifying target brain regions linked to multidimensional symptoms of fibromyalgia (e.g. negative cognitive/affective response to pain, clinical pain, evoked pain sensitivity) may aid the development of neuromodulatory and individualized therapies. Furthermore, efficient multi-region sampling with 3D MRSI could reduce the burden of lengthy scan time for clinical research applications of molecular brain-based mechanisms supporting multidimensional aspects of fibromyalgia. SIGNIFICANCE: This large N study linked brain metabolites and pain features in fibromyalgia patients, with a better spatial resolution and brain coverage, to understand a molecular mechanism underlying pain catastrophizing and other aspects of pain transmission. Metabolite levels in self-referential cognitive processing area as well as pain-processing regions were associated with pain outcomes. These results could help the understanding of its pathophysiology and treatment strategies for clinicians.
© 2021 European Pain Federation - EFIC®.

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Year:  2021        PMID: 34102707      PMCID: PMC9176690          DOI: 10.1002/ejp.1820

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.651


  78 in total

1.  Metabolic abnormalities in pain-processing regions of patients with fibromyalgia: a 3T MR spectroscopy study.

Authors:  P Feraco; A Bacci; Fab Pedrabissi; L Passamonti; G Zampogna; Fed Pedrabissi; N Malavolta; M Leonardi
Journal:  AJNR Am J Neuroradiol       Date:  2011-07-28       Impact factor: 3.825

Review 2.  Magnetic resonance spectroscopy to assess neuroinflammation and neuropathic pain.

Authors:  Linda Chang; Sody M Munsaka; Stephanie Kraft-Terry; Thomas Ernst
Journal:  J Neuroimmune Pharmacol       Date:  2013-05-12       Impact factor: 4.147

3.  painDETECT: a new screening questionnaire to identify neuropathic components in patients with back pain.

Authors:  Rainer Freynhagen; Ralf Baron; Ulrich Gockel; Thomas R Tölle
Journal:  Curr Med Res Opin       Date:  2006-10       Impact factor: 2.580

4.  Reduced N-acetylaspartate in the hippocampus in patients with fibromyalgia: a meta-analysis.

Authors:  Yuta Aoki; Ryota Inokuchi; Hiroshi Suwa
Journal:  Psychiatry Res       Date:  2013-07-05       Impact factor: 3.222

5.  Investigation of central nervous system dysfunction in chronic pelvic pain using magnetic resonance spectroscopy and noninvasive brain stimulation.

Authors:  Marcel Simis; Jay S Reidler; Debora Duarte Macea; Ingrid Moreno Duarte; Xiaoen Wang; Robert Lenkinski; John C Petrozza; Felipe Fregni
Journal:  Pain Pract       Date:  2014-05-02       Impact factor: 3.183

6.  Efficacy of a multidisciplinary fibromyalgia treatment adapted for women with low educational levels: a randomized controlled trial.

Authors:  Antoni Castel; Ramon Fontova; Salvador Montull; Rocío Periñán; Maria José Poveda; Iris Miralles; Rosalia Cascón-Pereira; Pilar Hernández; Natalia Aragonés; Isabel Salvat; Sonia Castro; Sonia Monterde; Anna Padrol; José Sala; Cristóbal Añez; Maria Rull
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-03       Impact factor: 4.794

Review 7.  A guide to the metabolic pathways and function of metabolites observed in human brain 1H magnetic resonance spectra.

Authors:  Caroline D Rae
Journal:  Neurochem Res       Date:  2013-11-21       Impact factor: 3.996

8.  Increased glutamate/glutamine compounds in the brains of patients with fibromyalgia: a magnetic resonance spectroscopy study.

Authors:  Manuel Valdés; Antonio Collado; Nuria Bargalló; Mireia Vázquez; Lorena Rami; Emili Gómez; Manel Salamero
Journal:  Arthritis Rheum       Date:  2010-06

9.  Localized 1H-NMR spectroscopy in patients with fibromyalgia: a controlled study of changes in cerebral glutamate/glutamine, inositol, choline, and N-acetylaspartate.

Authors:  Nicolas Fayed; Javier Garcia-Campayo; Rosa Magallón; Helena Andrés-Bergareche; Juan V Luciano; Eva Andres; Julián Beltrán
Journal:  Arthritis Res Ther       Date:  2010-07-07       Impact factor: 5.156

10.  Education mitigates age-related decline in N-Acetylaspartate levels.

Authors:  Kirk I Erickson; Regina L Leckie; Andrea M Weinstein; Polina Radchenkova; Bradley P Sutton; Ruchika Shaurya Prakash; Michelle W Voss; Laura Chaddock-Heyman; Edward McAuley; Arthur F Kramer
Journal:  Brain Behav       Date:  2015-01-29       Impact factor: 2.708

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