Literature DB >> 30408596

Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia.

Noam Goldway1, Jacob Ablin2, Omer Lubin3, Yoav Zamir4, Jackob Nimrod Keynan5, Ayelet Or-Borichev6, Marc Cavazza7, Fred Charles8, Nathan Intrator9, Silviu Brill10, Eti Ben-Simon3, Haggai Sharon11, Talma Hendler12.   

Abstract

Volitional neural modulation using neurofeedback has been indicated as a potential treatment for chronic conditions that involve peripheral and central neural dysregulation. Here we utilized neurofeedback in patients suffering from Fibromyalgia - a chronic pain syndrome that involves sleep disturbance and emotion dysregulation. These ancillary symptoms, which have an amplificating effect on pain, are known to be mediated by heightened limbic activity. In order to reliably probe limbic activity in a scalable manner fit for EEG-neurofeedback training, we utilized an Electrical Finger Print (EFP) model of amygdala-BOLD signal (termed Amyg-EFP), that has been successfully validated in our lab in the context of volitional neuromodulation. We anticipated that Amyg-EFP-neurofeedback training aimed at limbic down modulation would improve chronic pain in patients suffering from Fibromyalgia, by reducing sleep disorder improving emotion regulation. We further expected that improved clinical status would correspond with successful training as indicated by improved down modulation of the Amygdala-EFP signal. Thirty-Four Fibromyalgia patients (31F; age 35.6 ± 11.82) participated in a randomized placebo-controlled trial with biweekly Amyg-EFP-neurofeedback sessions or sham neurofeedback (n = 9) for a total duration of five consecutive weeks. Following training, participants in the real-neurofeedback group were divided into good (n = 13) or poor (n = 12) modulators according to their success in the neurofeedback training. Before and after treatment, self-reports on pain, depression, anxiety, fatigue and sleep quality were obtained, as well as objective sleep indices. Long-term clinical follow-up was made available, within up to three years of the neurofeedback training completion. REM latency and objective sleep quality index were robustly improved following the treatment course only in the real-neurofeedback group (time × group p < 0.05) and to a greater extent among good modulators (time × sub-group p < 0.05). In contrast, self-report measures did not reveal a treatment-specific response at the end of the neurofeedback training. However, the follow-up assessment revealed a delayed improvement in chronic pain and subjective sleep experience, evident only in the real-neurofeedback group (time × group p < 0.05). Moderation analysis showed that the enduring clinical effects on pain evident in the follow-up assessment were predicted by the immediate improvements following training in objective sleep and subjective affect measures. Our findings suggest that Amyg-EFP-neurofeedback that specifically targets limbic activity down modulation offers a successful principled approach for volitional EEG based neuromodulation treatment in Fibromyalgia patients. Importantly, it seems that via its immediate sleep improving effect, the neurofeedback training induced a delayed reduction in the target subjective symptom of chronic pain, far and beyond the immediate placebo effect. This indirect approach to chronic pain management reflects the substantial link between somatic and affective dysregulation that can be successfully targeted using neurofeedback. Crown
Copyright © 2018. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allostatic load; Amygdala; Chronic pain; Fibromyalgia; Neurofeedback; Sleep disorder

Mesh:

Year:  2018        PMID: 30408596     DOI: 10.1016/j.neuroimage.2018.11.001

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

1.  Better brain training for treating psychological conditions.

Authors:  Jyoti Madhusoodanan
Journal:  Nature       Date:  2021-06-24       Impact factor: 49.962

Review 2.  Process-based framework for precise neuromodulation.

Authors:  Nitzan Lubianiker; Noam Goldway; Tom Fruchtman-Steinbok; Christian Paret; Jacob N Keynan; Neomi Singer; Avihay Cohen; Kathrin Cohen Kadosh; David E J Linden; Talma Hendler
Journal:  Nat Hum Behav       Date:  2019-04-15

Review 3.  Brain circuits for pain and its treatment.

Authors:  Nicole Mercer Lindsay; Chong Chen; Gadi Gilam; Sean Mackey; Grégory Scherrer
Journal:  Sci Transl Med       Date:  2021-11-10       Impact factor: 17.956

4.  Emotional numbing in PTSD is associated with lower amygdala reactivity to pain.

Authors:  Nachshon Korem; Or Duek; Ziv Ben-Zion; Antonia N Kaczkurkin; Shmuel Lissek; Temidayo Orederu; Daniela Schiller; Ilan Harpaz-Rotem; Ifat Levy
Journal:  Neuropsychopharmacology       Date:  2022-08-09       Impact factor: 8.294

5.  The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback-A Systematic Review and Recommendations for Best Practice.

Authors:  Simon H Kohl; David M A Mehler; Michael Lührs; Robert T Thibault; Kerstin Konrad; Bettina Sorger
Journal:  Front Neurosci       Date:  2020-07-21       Impact factor: 5.152

6.  Connectome-based neurofeedback: A pilot study to improve sustained attention.

Authors:  Dustin Scheinost; Tiffany W Hsu; Emily W Avery; Michelle Hampson; R Todd Constable; Marvin M Chun; Monica D Rosenberg
Journal:  Neuroimage       Date:  2020-02-27       Impact factor: 6.556

Review 7.  A Two-Person Neuroscience Approach for Social Anxiety: A Paradigm With Interbrain Synchrony and Neurofeedback.

Authors:  Marcia A Saul; Xun He; Stuart Black; Fred Charles
Journal:  Front Psychol       Date:  2022-01-14

8.  Frontostriatal circuitry as a target for fMRI-based neurofeedback interventions: A systematic review.

Authors:  Linda Orth; Johanna Meeh; Ruben C Gur; Irene Neuner; Pegah Sarkheil
Journal:  Front Hum Neurosci       Date:  2022-08-24       Impact factor: 3.473

  8 in total

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