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Pacheco-Barrios K, Teixeira PEP, Martinez-Magallanes D, Neto MS, Pichardo EA, Camargo L, Lima D, Cardenas-Rojas A, Fregni F. Brain compensatory mechanisms in depression and memory complaints in fibromyalgia: the role of theta oscillatory activity. PAIN MEDICINE (MALDEN, MASS.) 2024; 25:514-522. [PMID: 38652585 PMCID: PMC11292043 DOI: 10.1093/pm/pnae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/17/2024] [Accepted: 03/21/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND The different clinical presentations of fibromyalgia syndrome (FMS) might play independent roles in the unclear etiology of cognitive impairments and depressive symptoms seen in patients with FMS. Understanding how these clinical presentations are associated with the clinical and neurophysiological aspects of FMS is important for the development of effective treatments. AIM To explore the relationship of memory complaints and depressive symptoms with the different clinical and neurophysiological characteristics of FMS. METHODS Cross-sectional data analysis from a randomized clinical trial. Baseline demographics and data on physical fitness, sleep, anxiety, depression, cortical excitability, and pain (clinical and mechanistic) from 63 subjects with FMS were used. Multiple linear and logistic association models were constructed. RESULTS Final regression models including different sets of predictions were statistically significant (P < .001), explaining approximately 50% of the variability in cognitive complaints and depression status. Older subjects had higher levels of anxiety, poorer sleep quality, lower motor threshold, and higher relative theta power in the central area and were more likely to have clinical depression. Higher anxiety, pain, and theta power were associated with a higher likelihood of memory complaints. CONCLUSION Depression symptoms seem to be associated with transcranial magnetic stimulation-indexed motor threshold and psychosocial variables, whereas memory complaints are associated with pain intensity and higher theta oscillations. These mechanisms might be catalyzed or triggered by some behavioral and clinical features, such as older age, sleep disruption, and anxiety. The correlation with clinical variables suggests that the increasing of theta oscillations is a compensatory response in patients with FMS, which can be explored in future studies to improve the treatment of FMS. TRIAL REGISTRATION ClinicalTrials.gov ID NCT03371225.
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Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, av. Industrial 3484, Lima, Peru
| | - Paulo E P Teixeira
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Daniela Martinez-Magallanes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Moacir Silva Neto
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
- Life Checkup—Medicina Esportiva Avançada, Brasília, DF, 70200-730, Brazil
| | - Elly Angelica Pichardo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Daniel Lima
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Cambridge, MA 02138, United States
- Harvard Medical School, Boston, MA 02115, United States
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Camargo L, Pacheco-Barrios K, Marques LM, Caumo W, Fregni F. Adaptive and Compensatory Neural Signatures in Fibromyalgia: An Analysis of Resting-State and Stimulus-Evoked EEG Oscillations. Biomedicines 2024; 12:1428. [PMID: 39062001 PMCID: PMC11274211 DOI: 10.3390/biomedicines12071428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/22/2024] [Accepted: 06/26/2024] [Indexed: 07/28/2024] Open
Abstract
This study aimed to investigate clinical and physiological predictors of brain oscillatory activity in patients with fibromyalgia (FM), assessing resting-state power, event-related desynchronization (ERD), and event-related synchronization (ERS) during tasks. We performed a cross-sectional analysis, including clinical and neurophysiological data from 78 subjects with FM. Multivariate regression models were built to explore predictors of electroencephalography bands. Our findings show a negative correlation between beta oscillations and pain intensity; fibromyalgia duration is positively associated with increased oscillatory power at low frequencies and in the beta band; ERS oscillations in the theta and alpha bands seem to be correlated with better symptoms of FM; fatigue has a signature in the alpha band-a positive relationship in resting-state and a negative relationship in ERS oscillations. Specific neural signatures lead to potential clusters of neural adaptation, in which beta oscillatory activity in the resting state represents a more adaptive activity when pain levels are low and stimulus-evoked oscillations at lower frequencies are likely brain compensatory mechanisms. These neurophysiological changes may help to understand the impact of long-term chronic pain in the central nervous system and the descending inhibitory system in fibromyalgia subjects.
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Affiliation(s)
- Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (L.C.); (K.P.-B.)
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (L.C.); (K.P.-B.)
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima 15024, Peru
| | - Lucas M. Marques
- Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo 01238-010, Brazil;
| | - Wolnei Caumo
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90010-150, Brazil;
- Laboratory of Pain and Neuromodulation, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (L.C.); (K.P.-B.)
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Mathew J, Adhia DB, Hall M, De Ridder D, Mani R. EEG-Based Cortical Alterations in Individuals With Chronic Knee Pain Secondary to Osteoarthritis: A Cross-sectional Investigation. THE JOURNAL OF PAIN 2024; 25:104429. [PMID: 37989404 DOI: 10.1016/j.jpain.2023.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 11/05/2023] [Accepted: 11/10/2023] [Indexed: 11/23/2023]
Abstract
Chronic painful knee osteoarthritis (OA) is a disabling physical health condition. Alterations in brain responses to arthritic changes in the knee may explain persistent pain. This study investigated source localized, resting-state electroencephalography activity and functional connectivity in people with knee OA, compared to healthy controls. Adults aged 44 to 85 years with knee OA (n = 37) and healthy control (n = 39) were recruited. Resting-state electroencephalography was collected for 10 minutes and decomposed into infraslow frequency (ISF) to gamma frequency bands. Standard low-resolution electromagnetic brain tomography statistical nonparametric maps were conducted, current densities of regions of interest were compared between groups and correlation analyses were performed between electroencephalography (EEG) measures and clinical pain and functional outcomes in the knee OA group. Standard low-resolution electromagnetic brain tomography nonparametric maps revealed higher (P = .006) gamma band activity over the right insula (RIns) in the knee OA group. A significant (P < .0001) reduction in ISF band activity at the pregenual anterior cingulate cortex, whereas higher theta, alpha, beta, and gamma band activity at the dorsal anterior cingulate cortex, pregenual anterior cingulate cortex, the somatosensory cortex, and RIns in the knee OA group were identified. ISF activity of the dorsal anterior cingulate cortex was positively correlated with pain measures and psychological distress scores. Theta and alpha activity of RIns were negatively correlated with pain interference. In conclusion, aberrations in infraslow and faster frequency EEG oscillations at sensory discriminative, motivational-affective, and descending inhibitory cortical regions were demonstrated in people with chronic painful knee OA. Moreover, EEG oscillations were correlated with pain and functional outcome measures. PERSPECTIVE: This study confirms alterations in the rsEEG oscillations and its relationship with pain experience in people with knee OA. The study provides potential cortical targets and the EEG frequency bands for neuromodulatory interventions for managing chronic pain experience in knee OA.
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Affiliation(s)
- Jerin Mathew
- Centre for Health, Activity, and Rehabilitation Research, School of Physiotherapy, University of Otago, New Zealand; Department of Anatomy, School of Biomedical Sciences, University of Otago, New Zealand; Pain@Otago Research Theme, University of Otago, New Zealand
| | - Divya B Adhia
- Pain@Otago Research Theme, University of Otago, New Zealand; Division of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, New Zealand
| | - Matthew Hall
- Division of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, New Zealand
| | - Dirk De Ridder
- Pain@Otago Research Theme, University of Otago, New Zealand; Division of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, New Zealand
| | - Ramakrishnan Mani
- Centre for Health, Activity, and Rehabilitation Research, School of Physiotherapy, University of Otago, New Zealand; Pain@Otago Research Theme, University of Otago, New Zealand
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Kleeva D, Soghoyan G, Biktimirov A, Piliugin N, Matvienko Y, Sintsov M, Lebedev M. Modulations in high-density EEG during the suppression of phantom-limb pain with neurostimulation in upper limb amputees. Cereb Cortex 2024; 34:bhad504. [PMID: 38220575 DOI: 10.1093/cercor/bhad504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/12/2023] [Accepted: 11/13/2023] [Indexed: 01/16/2024] Open
Abstract
Phantom limb pain (PLP) is a distressing and persistent sensation that occurs after the amputation of a limb. While medication-based treatments have limitations and adverse effects, neurostimulation is a promising alternative approach whose mechanism of action needs research, including electroencephalographic (EEG) recordings for the assessment of cortical manifestation of PLP relieving effects. Here we collected and analyzed high-density EEG data in 3 patients (P01, P02, and P03). Peripheral nerve stimulation suppressed PLP in P01 but was ineffective in P02. In contrast, transcutaneous electrical nerve stimulation was effective in P02. In P03, spinal cord stimulation was used to suppress PLP. Changes in EEG oscillatory components were analyzed using spectral analysis and Petrosian fractal dimension. With these methods, changes in EEG spatio-spectral components were found in the theta, alpha, and beta bands in all patients, with these effects being specific to each individual. The changes in the EEG patterns were found for both the periods when PLP level was stationary and the periods when PLP was gradually changing after neurostimulation was turned on or off. Overall, our findings align with the proposed roles of brain rhythms in thalamocortical dysrhythmia or disruption of cortical excitation and inhibition which has been linked to neuropathic pain. The individual differences in the observed effects could be related to the specifics of each patient's treatment and the unique spectral characteristics in each of them. These findings pave the way to the closed-loop systems for PLP management where neurostimulation parameters are adjusted based on EEG-derived markers.
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Affiliation(s)
- Daria Kleeva
- Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, p. 1, Moscow 121205, Russia
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University
| | - Gurgen Soghoyan
- Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, p. 1, Moscow 121205, Russia
| | - Artur Biktimirov
- Laboratory of Experimental and Translational Medicine, School of Biomedicine, Far Eastern Federal University
| | - Nikita Piliugin
- Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Bolshoy Boulevard, 30, p. 1, Moscow 121205, Russia
| | | | | | - Mikhail Lebedev
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University
- Faculty of Mechanics and Mathematics, Lomonosov Moscow State University
- Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences
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Wang S, Du SH, Wang XQ, Lu JY. Mechanisms of transcranial direct current stimulation (tDCS) for pain in patients with fibromyalgia syndrome. Front Mol Neurosci 2024; 17:1269636. [PMID: 38356687 PMCID: PMC10865494 DOI: 10.3389/fnmol.2024.1269636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/10/2024] [Indexed: 02/16/2024] Open
Abstract
Fibromyalgia syndrome (FMS) is a recurrent pain condition that can be challenging to treat. Transcranial direct current stimulation (tDCS) has become a promising non-invasive therapeutic option in alleviating FMS pain, but the mechanisms underlying its effectiveness are not yet fully understood. In this article, we discuss the most current research investigating the analgesic effects of tDCS on FMS and discuss the potential mechanisms. TDCS may exert its analgesic effects by influencing neuronal activity in the brain, altering cortical excitability, changing regional cerebral blood flow, modulating neurotransmission and neuroinflammation, and inducing neuroplasticity. Overall, evidence points to tDCS as a potentially safe and efficient pain relief choice for FMS by multiple underlying mechanisms. This article provides a thorough overview of our ongoing knowledge regarding the mechanisms underlying tDCS and emphasizes the possibility of further studies to improve the clinical utility of tDCS as a pain management tool.
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Affiliation(s)
- Shan Wang
- Department of Health School, Shanghai Normal University Tianhua College, Shanghai, China
| | - Shu-Hao Du
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Xue-Qiang Wang
- Rehabilitation Medicine Center, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- School of Rehabilitation Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Jun-Yan Lu
- Rehabilitation Medicine Center, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- School of Rehabilitation Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
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Abstract
Introduction. The evaluation of individuals with fibromyalgia is challenging. Electroencephalography is a promising resource for identifying physiological biomarkers in fibromyalgia, contributing to its diagnosis. Objective. To review studies involving the use of electroencephalography to evaluate individuals with fibromyalgia. Method. A systematic review of studies published in the PubMed, Lilacs, and SciELO databases from 2001 to 2020 was conducted. The keywords used were electroencephalogram, electroencephalography, and fibromyalgia. The database search complied with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria. Results. A total of 136 articles were identified after a database search using the keywords "fibromyalgia" AND "electroencephalography", and 131 articles were found using the keywords "fibromyalgia" AND "electroencephalogram" (EEG). In the end, 20 articles remained after applying the exclusion criteria. The data was organized into subcategories related to the form of use, protocols, electroencephalographic findings in patients with fibromyalgia, and the EEG analysis method. Conclusion. Electroencephalography is a promising method for identifying and characterizing biomarkers for fibromyalgia.
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Affiliation(s)
| | | | - Nelson Torro
- Federal University of Paraíba, Joao Pessoa, Brazil
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Elkholy NS, Mohammed HS, Shafaa MW. Assessment of the therapeutic potential of lutein and beta-carotene nanodispersions in a rat model of fibromyalgia. Sci Rep 2023; 13:19712. [PMID: 37953299 PMCID: PMC10641082 DOI: 10.1038/s41598-023-46980-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/07/2023] [Indexed: 11/14/2023] Open
Abstract
Fibromyalgia (FM) is a chronic disorder characterized by widespread musculoskeletal pain, fatigue, and cognitive impairment. Despite the availability of various treatment options, FM remains a challenging condition to manage. In the present study, we investigated the efficacy of formulated nanodispersions of lutein and beta-carotene in treating FM-related symptoms induced by reserpine in female Wistar rats. Several techniques have been implemented to assess this efficacy at various levels, including biochemical, bioelectrical, and behavioral. Namely, oxidative stress markers, monoamine levels, electrocorticography, pain threshold test, and open field test were conducted on control, FM-induced, and FM-treated groups of animals. Our results provided compelling evidence for the efficacy of carotenoid nanodispersions in treating FM-related symptoms. Specifically, we found that the dual action of the nanodispersion, as both antioxidant and antidepressant, accounted for their beneficial effects in treating FM. With further investigation, nano-carotenoids and particularly nano-lutein could potentially become an effective alternative treatment for patients with FM who do not respond to current treatment options.
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Affiliation(s)
- Nourhan S Elkholy
- Medical Biophysics Division, Physics Department, Faculty of Science, Helwan University, Cairo, Egypt
- Nawah Scientific Co., Cairo, Egypt
| | - Haitham S Mohammed
- Biophysics Department, Faculty of Science, Cairo University, Giza, Egypt.
| | - Medhat W Shafaa
- Medical Biophysics Division, Physics Department, Faculty of Science, Helwan University, Cairo, Egypt
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Kenefati G, Rockholt MM, Ok D, McCartin M, Zhang Q, Sun G, Maslinski J, Wang A, Chen B, Voigt EP, Chen ZS, Wang J, Doan LV. Changes in alpha, theta, and gamma oscillations in distinct cortical areas are associated with altered acute pain responses in chronic low back pain patients. Front Neurosci 2023; 17:1278183. [PMID: 37901433 PMCID: PMC10611481 DOI: 10.3389/fnins.2023.1278183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction Chronic pain negatively impacts a range of sensory and affective behaviors. Previous studies have shown that the presence of chronic pain not only causes hypersensitivity at the site of injury but may also be associated with pain-aversive experiences at anatomically unrelated sites. While animal studies have indicated that the cingulate and prefrontal cortices are involved in this generalized hyperalgesia, the mechanisms distinguishing increased sensitivity at the site of injury from a generalized site-nonspecific enhancement in the aversive response to nociceptive inputs are not well known. Methods We compared measured pain responses to peripheral mechanical stimuli applied to a site of chronic pain and at a pain-free site in participants suffering from chronic lower back pain (n = 15) versus pain-free control participants (n = 15) by analyzing behavioral and electroencephalographic (EEG) data. Results As expected, participants with chronic pain endorsed enhanced pain with mechanical stimuli in both back and hand. We further analyzed electroencephalographic (EEG) recordings during these evoked pain episodes. Brain oscillations in theta and alpha bands in the medial orbitofrontal cortex (mOFC) were associated with localized hypersensitivity, while increased gamma oscillations in the anterior cingulate cortex (ACC) and increased theta oscillations in the dorsolateral prefrontal cortex (dlPFC) were associated with generalized hyperalgesia. Discussion These findings indicate that chronic pain may disrupt multiple cortical circuits to impact nociceptive processing.
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Affiliation(s)
- George Kenefati
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Mika M. Rockholt
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Deborah Ok
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
| | - Michael McCartin
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
| | - Qiaosheng Zhang
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Guanghao Sun
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Julia Maslinski
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Aaron Wang
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Baldwin Chen
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
| | - Erich P. Voigt
- Department of Otolaryngology-Head and Neck Surgery, New York University Grossman School of Medicine, New York, NY, United States
| | - Zhe Sage Chen
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States
- Department of Neuroscience and Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, United States
| | - Jing Wang
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
- Department of Neuroscience and Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States
| | - Lisa V. Doan
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Interdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States
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Heitmann H, Zebhauser PT, Hohn VD, Henningsen P, Ploner M. Resting-state EEG and MEG biomarkers of pathological fatigue - A transdiagnostic systematic review. Neuroimage Clin 2023; 39:103500. [PMID: 37632989 PMCID: PMC10474495 DOI: 10.1016/j.nicl.2023.103500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 08/28/2023]
Abstract
Fatigue is a highly prevalent and disabling symptom of many disorders and syndromes, resulting from different pathomechanisms. However, whether and how different mechanisms converge and result in similar symptomatology is only partially understood, and transdiagnostic biomarkers that could further the diagnosis and treatment of fatigue are lacking. We, therefore, performed a transdiagnostic systematic review (PROSPERO: CRD42022330113) of quantitative resting-state electroencephalography (EEG) and magnetoencephalography (MEG) studies in adult patients suffering from pathological fatigue in different disorders. Studies investigating fatigue in healthy participants were excluded. The risk of bias was assessed using a modified Newcastle-Ottawa Scale. Semi-quantitative data synthesis was conducted using modified albatross plots. After searching MEDLINE, Web of Science Core Collection, and EMBASE, 26 studies were included. Cross-sectional studies revealed increased brain activity at theta frequencies and decreased activity at alpha frequencies as potential diagnostic biomarkers. However, the risk of bias was high in many studies and domains. Together, this transdiagnostic systematic review synthesizes evidence on how resting-state M/EEG might serve as a diagnostic biomarker of pathological fatigue. Beyond, this review might help to guide future M/EEG studies on the development of fatigue biomarkers.
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Affiliation(s)
- Henrik Heitmann
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich (TUM), Germany; Department of Psychosomatic Medicine and Psychotherapy, School of Medicine, Technical University of Munich (TUM), Germany
| | - Paul Theo Zebhauser
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich (TUM), Germany
| | - Vanessa D Hohn
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich (TUM), Germany
| | - Peter Henningsen
- Department of Psychosomatic Medicine and Psychotherapy, School of Medicine, Technical University of Munich (TUM), Germany
| | - Markus Ploner
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Germany; TUM-Neuroimaging Center, School of Medicine, Technical University of Munich (TUM), Germany.
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Rockholt MM, Kenefati G, Doan LV, Chen ZS, Wang J. In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand? Front Neurosci 2023; 17:1186418. [PMID: 37389362 PMCID: PMC10301750 DOI: 10.3389/fnins.2023.1186418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/12/2023] [Indexed: 07/01/2023] Open
Abstract
Machine learning is becoming an increasingly common component of routine data analyses in clinical research. The past decade in pain research has witnessed great advances in human neuroimaging and machine learning. With each finding, the pain research community takes one step closer to uncovering fundamental mechanisms underlying chronic pain and at the same time proposing neurophysiological biomarkers. However, it remains challenging to fully understand chronic pain due to its multidimensional representations within the brain. By utilizing cost-effective and non-invasive imaging techniques such as electroencephalography (EEG) and analyzing the resulting data with advanced analytic methods, we have the opportunity to better understand and identify specific neural mechanisms associated with the processing and perception of chronic pain. This narrative literature review summarizes studies from the last decade describing the utility of EEG as a potential biomarker for chronic pain by synergizing clinical and computational perspectives.
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Affiliation(s)
- Mika M. Rockholt
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
| | - George Kenefati
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
| | - Lisa V. Doan
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
| | - Zhe Sage Chen
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States
- Department of Neuroscience & Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, United States
| | - Jing Wang
- Department of Anesthesiology, Perioperative Care and Pain Management, New York University Grossman School of Medicine, New York, NY, United States
- Department of Neuroscience & Physiology, Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, United States
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Zebhauser PT, Hohn VD, Ploner M. Resting-state electroencephalography and magnetoencephalography as biomarkers of chronic pain: a systematic review. Pain 2023; 164:1200-1221. [PMID: 36409624 PMCID: PMC10184564 DOI: 10.1097/j.pain.0000000000002825] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/28/2022] [Accepted: 11/04/2022] [Indexed: 11/22/2022]
Abstract
ABSTRACT Reliable and objective biomarkers promise to improve the assessment and treatment of chronic pain. Resting-state electroencephalography (EEG) is broadly available, easy to use, and cost efficient and, therefore, appealing as a potential biomarker of chronic pain. However, results of EEG studies are heterogeneous. Therefore, we conducted a systematic review (PROSPERO CRD42021272622) of quantitative resting-state EEG and magnetoencephalography (MEG) studies in adult patients with different types of chronic pain. We excluded populations with severe psychiatric or neurologic comorbidity. Risk of bias was assessed using a modified Newcastle-Ottawa Scale. Semiquantitative data synthesis was conducted using modified albatross plots. We included 76 studies after searching MEDLINE, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, and EMBASE. For cross-sectional studies that can serve to develop diagnostic biomarkers, we found higher theta and beta power in patients with chronic pain than in healthy participants. For longitudinal studies, which can yield monitoring and/or predictive biomarkers, we found no clear associations of pain relief with M/EEG measures. Similarly, descriptive studies that can yield diagnostic or monitoring biomarkers showed no clear correlations of pain intensity with M/EEG measures. Risk of bias was high in many studies and domains. Together, this systematic review synthesizes evidence on how resting-state M/EEG might serve as a diagnostic biomarker of chronic pain. Beyond, this review might help to guide future M/EEG studies on the development of pain biomarkers.
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Affiliation(s)
- Paul Theo Zebhauser
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Vanessa D. Hohn
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Markus Ploner
- Department of Neurology, School of Medicine, Technical University of Munich (TUM), Munich, Germany
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Larie MS, Esfandiarpour F, Riahi F, Parnianpour M. Brain Wave Patterns in Patients With Chronic Low Back Pain: A Case-control Study. Basic Clin Neurosci 2023; 14:225-235. [PMID: 38107529 PMCID: PMC10719979 DOI: 10.32598/bcn.2021.2398.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 09/25/2020] [Accepted: 12/23/2020] [Indexed: 12/19/2023] Open
Abstract
Introduction Research evidence indicates that maladaptive reorganization of the brain plays a critical role in amplifying pain experiences and pain chronification; however, no clear evidence of change exists in brain wave activity among patients with chronic low back pain (CLBP). The objective of this study was to assess brain wave activity in patients with CLBP, compared to healthy controls. Methods Twenty-five patients with CLBP and twenty-four healthy controls participated in the study. A quantitative electroencephalography device was used to assess brain wave activity in eyes-open and eyes-closed (EO and EC) conditions. The regional absolute and relative power of brain waves were compared between the groups. Results Our results showed a significant increase in the absolute power of theta (F=5.905, P=0.019), alpha (F=5.404, P=0.024) waves in patients with CLBP compared to healthy subjects in both EC and EO conditions. Patients with CLBP showed a reduced delta absolute power in the frontal region (F=5.852, P=0.019) and augmented delta absolute power in the central region (F=5.597, P=0.022) in the EO condition. An increased delta absolute power was observed in the frontal (F=7.563 P=0.008), central (F=10.430, P=0.002), and parietal (F=4.596, P=0.037) regions in patients with CLBP compared to the healthy subjects in the EC condition. In the EC condition, significant increases in theta relative power (F=4.680, P=0.036) in the parietal region were also found in patients with CLBP. Conclusion The increased absolute power of brain waves in people with CLBP may indicate cortical overactivity and changes in the pain processing mechanisms in these patients. Highlights Chronic low back pain (CLBP) increases the alpha, theta, and delta power in the brain.CLBP is associated with increased brain wave activity in the frontal, central, and parietal regions.Our findings suggest altered central pain processing in CLBP. Plain Language Summary Traditional diagnosis and treatment of CLBP are mainly focused on peripheral pathology. But, the modern neuroscience approach to pain highlights the role of cortical plasticity in chronic musculoskeletal pain. In this regard, several studies found structural and functional changes in the brain in patients with chronic pain. Detailed knowledge about cortical changes in CLBP can improve our understanding of mechanisms involved in CLBP, opening a new window to better treatment of LBP (Low back pain). This study investigated brain wave activity in patients with CLBP compared to healthy individuals. Our findings suggest increased brain activity in various parts of the brain in patients with chronic LBP. This finding indicates that CLBP treatment should focus on both peripheral and cortical factors rather than local tissue damage.
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Affiliation(s)
- Maryam Sadat Larie
- Department of Physiotherapy, Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Fateme Esfandiarpour
- Department of Physiotherapy, Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Department of Family Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Forough Riahi
- Department of Psychiatry, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mohamad Parnianpour
- Department of Mechanical Engineering, Faculty of Biomechanics, Sharif University of Technology, Tehran, Iran
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Mari T, Asgard O, Henderson J, Hewitt D, Brown C, Stancak A, Fallon N. External validation of binary machine learning models for pain intensity perception classification from EEG in healthy individuals. Sci Rep 2023; 13:242. [PMID: 36604453 PMCID: PMC9816165 DOI: 10.1038/s41598-022-27298-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 12/29/2022] [Indexed: 01/07/2023] Open
Abstract
Discrimination of pain intensity using machine learning (ML) and electroencephalography (EEG) has significant potential for clinical applications, especially in scenarios where self-report is unsuitable. However, existing research is limited due to a lack of external validation (assessing performance using novel data). We aimed for the first external validation study for pain intensity classification with EEG. Pneumatic pressure stimuli were delivered to the fingernail bed at high and low pain intensities during two independent EEG experiments with healthy participants. Study one (n = 25) was utilised for training and cross-validation. Study two (n = 15) was used for external validation one (identical stimulation parameters to study one) and external validation two (new stimulation parameters). Time-frequency features of peri-stimulus EEG were computed on a single-trial basis for all electrodes. ML training and analysis were performed on a subset of features, identified through feature selection, which were distributed across scalp electrodes and included frontal, central, and parietal regions. Results demonstrated that ML models outperformed chance. The Random Forest (RF) achieved the greatest accuracies of 73.18, 68.32 and 60.42% for cross-validation, external validation one and two, respectively. Importantly, this research is the first to externally validate ML and EEG for the classification of intensity during experimental pain, demonstrating promising performance which generalises to novel samples and paradigms. These findings offer the most rigorous estimates of ML's clinical potential for pain classification.
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Affiliation(s)
- Tyler Mari
- Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA, UK.
| | - Oda Asgard
- grid.10025.360000 0004 1936 8470Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA UK
| | - Jessica Henderson
- grid.10025.360000 0004 1936 8470Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA UK
| | - Danielle Hewitt
- grid.10025.360000 0004 1936 8470Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA UK
| | - Christopher Brown
- grid.10025.360000 0004 1936 8470Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA UK
| | - Andrej Stancak
- grid.10025.360000 0004 1936 8470Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA UK
| | - Nicholas Fallon
- grid.10025.360000 0004 1936 8470Department of Psychology, Institute of Population Health, University of Liverpool, 2.21 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA UK
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Leone C, Galosi E, Esposito N, Falco P, Fasolino A, Di Pietro G, Di Stefano G, Camerota F, Vollert J, Truini A. Small-fibre damage is associated with distinct sensory phenotypes in patients with fibromyalgia and small-fibre neuropathy. Eur J Pain 2023; 27:163-173. [PMID: 36314856 DOI: 10.1002/ejp.2049] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND In this clinical and psychophysical study, we aimed to verify whether patients with fibromyalgia with and without small-fibre pathology and patients with pure small-fibre neuropathy share common sensory phenotypes. METHODS Using an algorithm based on quantitative sensory testing variables, we grouped 64 consecutive patients with fibromyalgia (20 with small-fibre pathology, 44 without) and 30 patients with pure small-fibre neuropathy into different sensory phenotypes: sensory loss, thermal hyperalgesia, mechanical hyperalgesia and healthy phenotypes. RESULTS We found that the frequency of the different sensory phenotypes differed markedly between patients with fibromyalgia and patients with small-fibre neuropathy. In patients with fibromyalgia, with and without small-fibre pathology, healthy and hyperalgesia phenotypes (both thermal and mechanical) were similarly represented, whilst sensory loss and mechanical hyperalgesia phenotypes were the most frequent phenotypes in patients with small-fibre neuropathy. CONCLUSIONS Our findings indicate that small-fibre damage is associated with distinct sensory phenotypes in patients with fibromyalgia and in patients with small-fibre neuropathy. The lack of phenotype differences between patients with fibromyalgia with and without small-fibre pathology and the relatively high frequency of the healthy phenotype in these patients highlight a complex relationship between small-fibre pathology and pain in patients with fibromyalgia.
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Affiliation(s)
- Caterina Leone
- Department of Human Neuroscience, Sapienza University, Rome, Italy
| | - Eleonora Galosi
- Department of Human Neuroscience, Sapienza University, Rome, Italy
| | | | - Pietro Falco
- Department of Human Neuroscience, Sapienza University, Rome, Italy
| | | | | | | | - Filippo Camerota
- Physical Medicine and Rehabilitation, Sapienza University, Rome, Italy
| | - Jan Vollert
- Pain Research, Department of Surgery and Cancer (MSK), Imperial College London, London, UK
| | - Andrea Truini
- Department of Human Neuroscience, Sapienza University, Rome, Italy
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15
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Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain. Pain Rep 2022; 7:e1054. [PMID: 36601627 PMCID: PMC9788982 DOI: 10.1097/pr9.0000000000001054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 10/11/2022] [Accepted: 10/25/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction The pathophysiology of pediatric musculoskeletal (MSK) pain is unclear, contributing to persistent challenges to its management. Objectives This study hypothesizes that children and adolescents with chronic MSK pain (CPs) will show differences in electroencephalography (EEG) features at rest and during thermal pain modalities when compared with age-matched controls. Methods One hundred forty-two CP patients and 45 age-matched healthy controls (HCs) underwent a standardized thermal tonic heat and cold stimulations, while a 21-electrode headset collected EEG data. Cohorts were compared with respect to their EEG features of spectral power, peak frequency, permutation entropy, weight phase-lag index, directed phase-lag index, and node degree at 4 frequency bands, namely, delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz), at rest and during the thermal conditions. Results At rest, CPs showed increased global delta (P = 0.0493) and beta (P = 0.0002) power in comparison with HCs. These findings provide further impetus for the investigation and prevention of long-lasting developmental sequalae of early life chronic pain processes. Although no cohort differences in pain intensity scores were found during the thermal pain modalities, CPs and HCs showed significant difference in changes in EEG spectral power, peak frequency, permutation entropy, and network functional connectivity at specific frequency bands (P < 0.05) during the tonic heat and cold stimulations. Conclusion This suggests that EEG can characterize subtle differences in heat and cold pain sensitivity in CPs. The complementation of EEG and evoked pain in the clinical assessment of pediatric chronic MSK pain can better detect underlying pain mechanisms and changes in pain sensitivity.
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Transkranielle Wechselstromstimulation zur Modulation von Oszillationen bei Schmerzerkrankungen. Schmerz 2022:10.1007/s00482-022-00684-4. [PMID: 36508031 DOI: 10.1007/s00482-022-00684-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Chronic pain is a common health problem, for which the treatment is complex and challenging. Non-invasive brain stimulation techniques, specifically transcranial alternating current stimulation (tACS), show promise as a well-tolerated new therapeutic modality with few side effects. This is supported by growing evidence of an association between altered neuronal oscillations and chronic pain. However, to date, only a handful of studies with variable methodology have evaluated tACS for potential applicability to patients with chronic pain. OBJECTIVES Presentation and discussion of the evidence thus far, evaluation of a potential therapeutic benefit for chronic pain patients. MATERIALS AND METHODS Literature search in MEDLINE, Embase, Cochrane Library, and Google Scholar databases. RESULTS To date, tACS for chronic pain therapy has been investigated in only three studies with very different methodological approaches and quality. DISCUSSION These data currently do not provide sufficient evidence for the therapeutic use of tACS for chronic pain therapy. Future studies may address the question of a therapeutic benefit of tACS for this indication utilizing improved stimulation techniques and considering existing recommendations for the design and conduct of tACS studies.
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Villafaina S, Leon-Llamas JL, Murillo-Garcia A, Gusi N. Impact of being physically active on the brain electrocortical activity, brain volumetry and performance in the Stroop color and word test in women with fibromyalgia. Sci Rep 2022; 12:12616. [PMID: 35871256 PMCID: PMC9308776 DOI: 10.1038/s41598-022-16903-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Physical exercise is one of the treatment approaches with the most robust evidence against fibromyalgia (FM) symptoms. This study aimed to investigate the impact of being physically active on the Stroop Color and Word Test (SCWT) performance as well as to investigate and compare the brain electrocortical activity during SCWT. A total of 31 women completed the SCWT while EEG was recorded. People with FM were divided into two groups (physically and non-physically active) according to the WHO guidelines. Furthermore, magnetic resonance imaging was acquired and health-related quality of life, the impact of the disease, and the six-minute walking test were administered. Physically active group showed better performance in the SCWT, exhibiting less error in name different color patches condition (C), more correct responses in named color-word condition (CW) and higher interference score than non-physically active group. Moreover, a significantly higher theta power spectrum in the Fp1 during the condition C in the SCWT and a higher volume in the right rostral middle frontal gyrus have been found in the physically active group. Furthermore, physically active women with FM showed positively correlations between correct responses in names of colors printed in black condition (W) in the SCWT and theta power in the F3, Fz, Fp2 and F4 scalp positions. Regarding non-physically active women with FM, errors in condition CW negatively correlated with the volume of left superior frontal gyrus, left rostral middle frontal gyrus, right rostral middle frontal gyrus, left caudal middle frontal gyrus and right caudal middle frontal gyrus. Furthermore, physically active group showed increased performance in the 6 min walking test and lower disease impact. Fulfil the physical activity recommendation seems to protect brain health since better SCWT performance, greater frontal theta power and higher volume in the right rostral middle frontal gyrus have been found in physically active women with FM.
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Hewitt D, Byrne A, Henderson J, Wilford K, Chawla R, Sharma ML, Frank B, Fallon N, Brown C, Stancak A. Pulse Intensity Effects of Burst and Tonic Spinal Cord Stimulation on Neural Responses to Brushing in Patients With Neuropathic Pain. Neuromodulation 2022:S1094-7159(22)01349-6. [DOI: 10.1016/j.neurom.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 10/21/2022] [Accepted: 11/01/2022] [Indexed: 12/04/2022]
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Abstract
Pain is an unpleasant sensory and emotional experience. Understanding the neural mechanisms of acute and chronic pain and the brain changes affecting pain factors is important for finding pain treatment methods. The emergence and progress of non-invasive neuroimaging technology can help us better understand pain at the neural level. Recent developments in identifying brain-based biomarkers of pain through advances in advanced imaging can provide some foundations for predicting and detecting pain. For example, a neurologic pain signature (involving brain regions that receive nociceptive afferents) and a stimulus intensity-independent pain signature (involving brain regions that do not show increased activity in proportion to noxious stimulus intensity) were developed based on multivariate modeling to identify processes related to the pain experience. However, an accurate and comprehensive review of common neuroimaging techniques for evaluating pain is lacking. This paper reviews the mechanism, clinical application, reliability, strengths, and limitations of common neuroimaging techniques for assessing pain to promote our further understanding of pain.
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Affiliation(s)
- Jing Luo
- Department of Sport Rehabilitation, Xian Physical Education University, Xian, China
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Hui-Qi Zhu
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
- Department of Sport Rehabilitation, Shenyang Sport University, Shenyang, China
| | - Bo Gou
- Department of Sport Rehabilitation, Xian Physical Education University, Xian, China.
| | - Xue-Qiang Wang
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China.
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Heitmann H, Gil Ávila C, Nickel MM, Ta Dinh S, May ES, Tiemann L, Hohn VD, Tölle TR, Ploner M. Longitudinal resting-state electroencephalography in patients with chronic pain undergoing interdisciplinary multimodal pain therapy. Pain 2022; 163:e997-e1005. [PMID: 35050961 PMCID: PMC9393803 DOI: 10.1097/j.pain.0000000000002565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/10/2021] [Accepted: 12/03/2021] [Indexed: 11/27/2022]
Abstract
ABSTRACT Chronic pain is a major healthcare issue posing a large burden on individuals and society. Converging lines of evidence indicate that chronic pain is associated with substantial changes of brain structure and function. However, it remains unclear which neuronal measures relate to changes of clinical parameters over time and could thus monitor chronic pain and treatment responses. We therefore performed a longitudinal study in which we assessed clinical characteristics and resting-state electroencephalography data of 41 patients with chronic pain before and 6 months after interdisciplinary multimodal pain therapy. We specifically assessed electroencephalography measures that have previously been shown to differ between patients with chronic pain and healthy people. These included the dominant peak frequency; the amplitudes of neuronal oscillations at theta, alpha, beta, and gamma frequencies; as well as graph theory-based measures of brain network organization. The results show that pain intensity, pain-related disability, and depression were significantly improved after interdisciplinary multimodal pain therapy. Bayesian hypothesis testing indicated that these clinical changes were not related to changes of the dominant peak frequency or amplitudes of oscillations at any frequency band. Clinical changes were, however, associated with an increase in global network efficiency at theta frequencies. Thus, changes in chronic pain might be reflected by global network changes in the theta band. These longitudinal insights further the understanding of the brain mechanisms of chronic pain. Beyond, they might help to identify biomarkers for the monitoring of chronic pain.
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Affiliation(s)
- Henrik Heitmann
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
- TUM, School of Medicine, Center for Interdisciplinary Pain Medicine, Munich, Germany
| | - Cristina Gil Ávila
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
| | - Moritz M. Nickel
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
| | - Son Ta Dinh
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
| | - Elisabeth S. May
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
| | - Laura Tiemann
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
| | - Vanessa D. Hohn
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
| | - Thomas R. Tölle
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, Center for Interdisciplinary Pain Medicine, Munich, Germany
| | - Markus Ploner
- Technical University of Munich (TUM), School of Medicine, Department of Neurology, Munich, Germany
- TUM, School of Medicine, TUM-Neuroimaging Center, Munich, Germany
- TUM, School of Medicine, Center for Interdisciplinary Pain Medicine, Munich, Germany
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Mussigmann T, Bardel B, Lefaucheur JP. Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review. Neuroimage 2022; 258:119351. [PMID: 35659993 DOI: 10.1016/j.neuroimage.2022.119351] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/09/2022] [Accepted: 05/31/2022] [Indexed: 10/18/2022] Open
Abstract
Diagnosis and management of chronic neuropathic pain are challenging, leading to current efforts to characterize 'objective' biomarkers of pain using imaging or neurophysiological techniques, such as electroencephalography (EEG). A systematic literature review was conducted in PubMed-Medline and Web-of-Science until October 2021 to identify EEG biomarkers of chronic neuropathic pain in humans. The risk of bias was assessed by the Newcastle-Ottawa-Scale. Experimental, provoked, or chronic non-neuropathic pain studies were excluded. We identified 14 studies, in which resting-state EEG spectral analysis was compared between patients with pain related to a neurological disease and patients with the same disease but without pain or healthy controls. From these heterogeneous exploratory studies, some conclusions can be drawn, even if they must be weighted by the fact that confounding factors, such as medication and association with anxio-depressive disorders, are generally not taken into account. Overall, EEG signal power was increased in the θ band (4-7Hz) and possibly in the high-β band (20-30Hz), but decreased in the high-α-low-β band (10-20Hz) in the presence of ongoing neuropathic pain, while increased γ band oscillations were not evidenced, unlike in experimental pain. Consequently, the dominant peak frequency was decreased in the θ-α band and increased in the whole-β band in neuropathic pain patients. Disappointingly, pain intensity correlated with various EEG changes across studies, with no consistent trend. This review also discusses the location of regional pain-related EEG changes in the pain connectome, as the perspectives offered by advanced techniques of EEG signal analysis (source location, connectivity, or classification methods based on artificial intelligence). The biomarkers provided by resting-state EEG are of particular interest for optimizing the treatment of chronic neuropathic pain by neuromodulation techniques, such as transcranial alternating current stimulation or neurofeedback procedures.
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Affiliation(s)
- Thibaut Mussigmann
- Univ Paris Est Creteil, EA4391, ENT, Créteil, France; Clinical Neurophysiology Unit, Henri Mondor Hospital, AP-HP, Créteil, France
| | - Benjamin Bardel
- Univ Paris Est Creteil, EA4391, ENT, Créteil, France; Clinical Neurophysiology Unit, Henri Mondor Hospital, AP-HP, Créteil, France
| | - Jean-Pascal Lefaucheur
- Univ Paris Est Creteil, EA4391, ENT, Créteil, France; Clinical Neurophysiology Unit, Henri Mondor Hospital, AP-HP, Créteil, France.
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22
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Hewitt D, Newton-Fenner A, Henderson J, Fallon NB, Brown C, Stancak A. Intensity-dependent modulation of cortical somatosensory processing during external, low-frequency peripheral nerve stimulation in humans. J Neurophysiol 2022; 127:1629-1641. [PMID: 35611988 PMCID: PMC9190739 DOI: 10.1152/jn.00511.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
External low-frequency peripheral nerve stimulation (LFS) has been proposed as a novel method for neuropathic pain relief. Previous studies have reported that LFS elicits long-term depression-like effects on human pain perception when delivered at noxious intensities, whereas lower intensities are ineffective. To shed light on cortical regions mediating the effects of LFS, we investigated changes in somatosensory-evoked potentials (SEPs) during four LFS intensities. LFS was applied to the radial nerve (600 pulses, 1 Hz) of 24 healthy participants at perception (1 times), low (5 times), medium (10 times), and high intensities (15 times detection threshold). SEPs were recorded during LFS, and averaged SEPs in 10 consecutive 1-min epochs of LFS were analyzed using source dipole modeling. Changes in resting electroencephalography (EEG) were investigated after each LFS block. Source activity in the midcingulate cortex (MCC) decreased linearly during LFS, with greater attenuation at stronger LFS intensities, and in the ipsilateral operculo-insular cortex during the two lowest LFS stimulus intensities. Increased LFS intensities resulted in greater augmentation of contralateral primary sensorimotor cortex (SI/MI) activity. Stronger LFS intensities were followed by increased α (alpha, 9-11 Hz) band power in SI/MI and decreased θ (theta, 3-5 Hz) band power in MCC. Intensity-dependent attenuation of MCC activity with LFS is consistent with a state of long-term depression. Sustained increases in contralateral SI/MI activity suggests that effects of LFS on somatosensory processing may also be dependent on satiation of SI/MI. Further research could clarify if the activation of SI/MI during LFS competes with nociceptive processing in neuropathic pain.NEW & NOTEWORTHY Somatosensory-evoked potentials during low-frequency stimulation of peripheral nerves were examined at graded stimulus intensities. Low-frequency stimulation was associated with decreased responsiveness in the midcingulate cortex and increased responsiveness in primary sensorimotor cortex. Greater intensities were associated with increased midcingulate cortex θ band power and decreased sensorimotor cortex α band power. Results further previous evidence of an inhibition of somatosensory processing during and after low-frequency stimulation and point toward a potential augmentation of activity in somatosensory processing regions.
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Affiliation(s)
- Danielle Hewitt
- 1Department of Psychological Sciences, grid.10025.36University of Liverpool, Liverpool, United Kingdom
| | - Alice Newton-Fenner
- 1Department of Psychological Sciences, grid.10025.36University of Liverpool, Liverpool, United Kingdom,2Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom
| | - Jessica Henderson
- 1Department of Psychological Sciences, grid.10025.36University of Liverpool, Liverpool, United Kingdom
| | - Nicholas B. Fallon
- 1Department of Psychological Sciences, grid.10025.36University of Liverpool, Liverpool, United Kingdom
| | - Christopher Brown
- 1Department of Psychological Sciences, grid.10025.36University of Liverpool, Liverpool, United Kingdom
| | - Andrej Stancak
- 1Department of Psychological Sciences, grid.10025.36University of Liverpool, Liverpool, United Kingdom,2Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom
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23
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Fischer-Jbali LR, Montoro CI, Montoya P, Halder W, Duschek S. Central nervous activity during an emotional Stroop task in fibromyalgia syndrome. Int J Psychophysiol 2022; 177:133-144. [PMID: 35588963 DOI: 10.1016/j.ijpsycho.2022.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 12/12/2022]
Abstract
Fibromyalgia syndrome (FMS) is a chronic condition of widespread pain accompanied by symptoms like depression, fatigue and cognitive impairments. In addition to central nervous pain sensitization, emotional dysregulation may be involved in FMS pathogenesis. This study investigated emotional influences on cognitive processing in FMS. Event-related potentials and theta oscillations were recorded during an emotional Stroop task including positive, negative, and neutral adjectives in 36 FMS patients and 35 controls. Patients had larger P3 amplitudes and greater theta power than controls, independent of the emotional word content. In patients, but not controls, negative words were associated with a larger late positive component (LPC) amplitude than positive words. No group difference was seen for P1, early posterior negativity or N4. Reaction times (RTs) were longer in patients than controls, independent of emotional word content. The P3 and theta oscillation findings suggest greater cognitive effort and attentional mobilization in FMS, which is needed to overcome the reduction of attentional resources resulting from central nervous pain sensitization. Although RTs do not support attentional bias in FMS, emotional modulation of the LPC amplitude may reflect preferential central nervous processing of negative information, which could contribute to pain and affective symptoms characterizing FMS. ACCESS TO RESEARCH DATA: The research data of the study are available to the public via the Open Science Framework repository (OSF: https://osf.io/tsyre/).
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Affiliation(s)
- L R Fischer-Jbali
- UMIT Tirol, University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
| | - C I Montoro
- University of Jaén, Department of Psychology, Jaén, Spain.
| | - P Montoya
- University of the Balearic Islands, Research Institute of Health Sciences, Spain.
| | - W Halder
- County Hospital Hochzirl, Austria.
| | - S Duschek
- UMIT Tirol, University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
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24
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Zhou H, Han R, Chen L, Zhang Z, Zhang X, Wang J, Liu Z, Huang D. Effect of Implantable Electrical Nerve Stimulation on Cortical Dynamics in Patients With Herpes Zoster–Related Pain: A Prospective Pilot Study. Front Bioeng Biotechnol 2022; 10:862353. [PMID: 35651542 PMCID: PMC9149165 DOI: 10.3389/fbioe.2022.862353] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 04/08/2022] [Indexed: 02/05/2023] Open
Abstract
Implantable electrical nerve stimulation (ENS) can be used to treat neuropathic pain caused by herpes zoster. However, little is known about the cortical mechanism underlying neuromodulation therapy. Here, we recorded a 16-channel resting-state electroencephalogram after the application of spinal cord stimulation (n = 5) or peripheral nerve stimulation (n = 3). The neuromodulatory effect was compared between specific conditions (active ENS versus rest). To capture the cortical responses of ENS, spectral power and coherence analysis were performed. ENS therapy achieved satisfactory relief from pain with a mean visual analog scale score reduction of 5.9 ± 1.1. The spectral analysis indicated that theta and alpha oscillations increased significantly during active neuromodulation compared with the resting state. Furthermore, ENS administration significantly increased frontal-frontal coherence in the alpha band. Our findings demonstrate that, despite methodological differences, both spinal cord and peripheral nerve stimulation can induce cortical alpha oscillation changes in patients with zoster-related pain. The dynamic change may, in part, mediate the analgesic effect of ENS on herpes zoster–related pain.
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Affiliation(s)
- Haocheng Zhou
- Department of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China
- Hunan Key Laboratory of Brain Homeostasis, Central South University, Changsha, China
| | - Rui Han
- Department of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China
| | - Li Chen
- Department of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China
| | - Zhen Zhang
- Department of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China
| | - Xiaobo Zhang
- Department of Orthopedics, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jianlong Wang
- Department of Orthopedics, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zuoliang Liu
- Department of Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Dong Huang
- Department of Pain, The Third Xiangya Hospital and Institute of Pain Medicine, Central South University, Changsha, China
- Hunan Key Laboratory of Brain Homeostasis, Central South University, Changsha, China
- *Correspondence: Dong Huang,
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25
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The puzzle of fibromyalgia between central sensitization syndrome and small fiber neuropathy: a narrative review on neurophysiological and morphological evidence. Neurol Sci 2022; 43:1667-1684. [PMID: 35028777 DOI: 10.1007/s10072-021-05806-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 12/03/2021] [Indexed: 12/11/2022]
Abstract
Fibromyalgia (FM) is a condition characterized by chronic widespread pain whose pathogenesis is still not fully defined. Evidence based on structural and functional neuroimaging methods, electrophysiological, and morphological - skin biopsy - features demonstrated a central and peripheral nervous system involvement. A dysfunction in nociceptive inputs processing at the central level was highlighted as the primary cause of FM, but other data coming from different laboratories contributed to emphasize again the peripheral origin of FM. In fact, small fibers neuropathy (SFN) was observed in a large number of patients submitted to skin biopsy. The complex interaction between central and peripheral factors is opening a new scenario about the management of this neurological disorder. Whether proximal SFN is an initiating event leading to FM or is the consequence of stress-related insular hyper excitability remains unclear. Mild sufferance of peripheral afferents could function as a trigger for an exaggerated response of the so-called "salience matrix" in predisposed individuals. On the other side, the intriguing hypothesis rising from animal models could indicate that the cortical hyper function could cause peripheral small afferent damage. The research should go on the genetic origin of such peripheral and central abnormalities, the acquired facilitating factors, and the presence of different phenotypes in order to search for efficacious treatments, which are still lacking.
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26
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Del Felice A, Bertuccelli M, Rubega M, Cattelan M, Masiero S. Reply to Letter "Transcranial alternating current stimulation (tACS) as a treatment for fibromyalgia syndrome?" by Fröhlich and Riddle. Eur Arch Psychiatry Clin Neurosci 2022; 272:351-353. [PMID: 34002242 DOI: 10.1007/s00406-021-01271-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 04/22/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Alessandra Del Felice
- Section of Rehabilitation, Department of Neuroscience, University of Padova, Via Giustiniani, 3, 35128, Padua, Italy.
- Padova Neuroscience Center, University of Padova, 35131, Padua, Italy.
| | - Margherita Bertuccelli
- Section of Rehabilitation, Department of Neuroscience, University of Padova, Via Giustiniani, 3, 35128, Padua, Italy
- Padova Neuroscience Center, University of Padova, 35131, Padua, Italy
| | - Maria Rubega
- Section of Rehabilitation, Department of Neuroscience, University of Padova, Via Giustiniani, 3, 35128, Padua, Italy
| | - Manuela Cattelan
- Department of Statistical Sciences, University of Padova, via C. Battisti 241, 35121, Padua, Italy
| | - Stefano Masiero
- Section of Rehabilitation, Department of Neuroscience, University of Padova, Via Giustiniani, 3, 35128, Padua, Italy
- Padova Neuroscience Center, University of Padova, 35131, Padua, Italy
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27
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Frohlich F, Riddle J. Transcranial alternating current stimulation (tACS) as a treatment for fibromyalgia syndrome? Eur Arch Psychiatry Clin Neurosci 2022; 272:349-350. [PMID: 33715022 PMCID: PMC9332915 DOI: 10.1007/s00406-021-01253-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 03/03/2021] [Indexed: 11/25/2022]
Affiliation(s)
- Flavio Frohlich
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. .,Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. .,Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. .,Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. .,Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. .,Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Justin Riddle
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill, NC, USA,Carolina Center for Neurostimulation, University of North
Carolina at Chapel Hill, Chapel Hill, NC, USA
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28
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Wei M, Liao Y, Liu J, Li L, Huang G, Huang J, Li D, Xiao L, Zhang Z. EEG Beta-Band Spectral Entropy Can Predict the Effect of Drug Treatment on Pain in Patients With Herpes Zoster. J Clin Neurophysiol 2022; 39:166-173. [PMID: 32675727 DOI: 10.1097/wnp.0000000000000758] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Medication is the main approach for early treatment of herpes zoster, but it could be ineffective in some patients. It is highly desired to predict the medication responses to control the degree of pain for herpes zoster patients. The present study is aimed to elucidate the relationship between medication outcome and neural activity using EEG and to establish a machine learning model for early prediction of the medication responses from EEG. METHODS The authors acquired and analyzed eye-closed resting-state EEG data 1 to 2 days after medication from 70 herpes zoster patients with different drug treatment outcomes (measured 5-6 days after medication): 45 medication-sensitive pain patients and 25 medication-resistant pain patients. EEG power spectral entropy of each frequency band was compared at each channel between medication-sensitive pain and medication-resistant pain patients, and those features showing significant difference between two groups were used to predict medication outcome with different machine learning methods. RESULTS Medication-sensitive pain patients showed significantly weaker beta-band power spectral entropy in the central-parietal regions than medication-resistant pain patients. Based on these EEG power spectral entropy features and a k-nearest neighbors classifier, the medication outcome can be predicted with 80% ± 11.7% accuracy, 82.5% ± 14.7% sensitivity, 77.7% ± 27.3% specificity, and an area under the receiver operating characteristic curve of 0.85. CONCLUSIONS EEG beta-band power spectral entropy in the central-parietal region is predictive of the effectiveness of drug treatment on herpes zoster patients, and it could potentially be used for early pain management and therapeutic prognosis.
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Affiliation(s)
- Mengying Wei
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China
| | - Yuliang Liao
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, The Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, China; and
| | - Jia Liu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China
| | - Linling Li
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China
| | - Gan Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China
| | - Jiabin Huang
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, The Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, China; and
| | - Disen Li
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, The Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, China; and
| | - Lizu Xiao
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, The Affiliated Shenzhen Sixth Hospital of Guangdong Medical University, Shenzhen, China; and
| | - Zhiguo Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China
- Peng Cheng Laboratory, Shenzhen, China
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29
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Simis M, Imamura M, Pacheco-Barrios K, Marduy A, de Melo PS, Mendes AJ, Teixeira PEP, Battistella L, Fregni F. EEG theta and beta bands as brain oscillations for different knee osteoarthritis phenotypes according to disease severity. Sci Rep 2022; 12:1480. [PMID: 35087082 PMCID: PMC8795380 DOI: 10.1038/s41598-022-04957-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 12/22/2021] [Indexed: 12/11/2022] Open
Abstract
This study aims to investigate the multivariate relationship between different sociodemographic, clinical, and neurophysiological variables with resting-state, high-definition, EEG spectral power in subjects with chronic knee osteoarthritis (OA) pain. This was a cross-sectional study. Sociodemographic and clinical data were collected from 66 knee OA subjects. To identify associated factors, we performed independent univariate and multivariate regression models by frequency bands (delta, theta, alpha, beta, low-beta, and high-beta) and by pre-defined regions (frontal, central, and parietal). From adjusted multivariate models, we found that: (1) increased frontocentral high-beta power and reduced central theta activity are positively correlated with pain intensity (β = 0.012, 95% CI 0.004-0.020; and β = - 0.008; 95% CI 0.014 to - 0.003; respectively); (2) delta and alpha oscillations have a direct relationship with higher cortical inhibition; (3) diffuse increased power at low frequencies (delta and theta) are associated with poor cognition, aging, and depressive symptoms; and (4) higher alpha and beta power over sensorimotor areas seem to be a maladaptive compensatory mechanism to poor motor function and severe joint degeneration. Subjects with higher pain intensity and higher OA severity (likely subjects with maladaptive compensatory mechanisms to severe OA) have higher frontocentral beta power and lower theta activity. On the other hand, subjects with less OA severity and less pain have higher theta oscillations power. These associations showed the potential role of brain oscillations as a marker of pain intensity and clinical phenotypes in chronic knee OA patients. Besides, they suggest a potential compensatory mechanism of these two brain oscillators according to OA severity.
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Affiliation(s)
- Marcel Simis
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Marta Imamura
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA, USA
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Anna Marduy
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA, USA
| | - Paulo S de Melo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA, USA
| | - Augusto J Mendes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA, USA
- Psychological Neuroscience Laboratory, CIPsi, School of Psychology, University of Minho, Campus de Gualtar, Braga, Portugal
| | - Paulo E P Teixeira
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA, USA
| | - Linamara Battistella
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA, USA.
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30
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Zortea M, Beltran G, Alves RL, Vicuña P, Torres ILS, Fregni F, Caumo W. Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia. Sci Rep 2021; 11:22716. [PMID: 34811404 PMCID: PMC8608932 DOI: 10.1038/s41598-021-01982-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 11/01/2021] [Indexed: 12/02/2022] Open
Abstract
Spectral power density (SPD) indexed by electroencephalogram (EEG) recordings has recently gained attention in elucidating neural mechanisms of chronic pain syndromes and medication use. We compared SPD variations between 15 fibromyalgia (FM) women in use of opioid in the last three months (73.33% used tramadol) with 32 non-users. EEG data were obtained with Eyes Open (EO) and Eyes Closed (EC) resting state. SPD peak amplitudes between EO-EC were smaller in opioid users in central theta, central beta, and parietal beta, and at parietal delta. However, these variations were positive for opioid users. Multivariate analyses of variance (ANOVAs) revealed that EO-EC variations in parietal delta were negatively correlated with the disability due to pain, and central and parietal beta activity variations were positively correlated with worse sleep quality. These clinical variables explained from 12.5 to 17.2% of SPD variance. In addition, central beta showed 67% sensitivity / 72% specificity and parietal beta showed 73% sensitivity/62% specificity in discriminating opioid users from non-users. These findings suggest oscillations in EEG might be a sensitive surrogate marker to screen FM opioid users and a promising tool to understand the effects of opioid use and how these effects relate to functional and sleep-related symptoms.
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Affiliation(s)
- Maxciel Zortea
- Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Ramiro Barcelos, 2350, Bairro Rio Branco, Porto Alegre, RS, CEP 90035-003, Brazil
| | - Gerardo Beltran
- Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Ramiro Barcelos, 2350, Bairro Rio Branco, Porto Alegre, RS, CEP 90035-003, Brazil.,Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil.,Psychology Department, Universidad Catolica de Cuenca, UCACUE, Cuenca, Ecuador.,Institute of Neurosciences of the Universidad Catolica de Cuenca, UCACUE, Cuenca, Ecuador
| | - Rael Lopes Alves
- Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Ramiro Barcelos, 2350, Bairro Rio Branco, Porto Alegre, RS, CEP 90035-003, Brazil.,Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil
| | - Paul Vicuña
- Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Ramiro Barcelos, 2350, Bairro Rio Branco, Porto Alegre, RS, CEP 90035-003, Brazil.,Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil
| | - Iraci L S Torres
- Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil.,Pharmacology of Pain and Neuromodulation: Pre-Clinical Investigations Research Group, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil.,Department of Pharmacology, Institute of Health Sciences (ICBS), Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil.,Post-Graduate Program in Biological Sciences: Physiology and Biological Sciences: Pharmacology and Therapy, Institute of Health Sciences (ICBS), Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil
| | - Felipe Fregni
- Berenson-Allen Center for Noninvasive Brain Stimulation (CNBS), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.,Physical Medicine and Rehabilitation Department, Harvard Medical School, Boston, USA.,Laboratory of Neuromodulation, Spalding Rehabilitation Hospital, Harvard Medical School, Boston, USA
| | - Wolnei Caumo
- Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Ramiro Barcelos, 2350, Bairro Rio Branco, Porto Alegre, RS, CEP 90035-003, Brazil. .,Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil. .,Surgery Department, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil. .,Pain Treatment and Palliative Medicine Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
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31
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Santana JERS, Baptista AF, Lucena R, Lopes TDS, do Rosário RS, Xavier MR, Fonseca A, Miranda JGV. Altered Dynamic Brain Connectivity in Individuals With Sickle Cell Disease and Chronic Pain Secondary to Hip Osteonecrosis. Clin EEG Neurosci 2021; 54:333-342. [PMID: 34779267 DOI: 10.1177/15500594211054297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Individuals with sickle cell disease (SCD) exhibit changes in static brain connectivity in rest. However, little known as chronic pain associated with hip osteonecrosis affects dynamic brain connectivity during rest and the motor imagery task. The aim of this study was to investigate the characteristics of the dynamic functional brain connectivity of individuals with SCD and chronic pain secondary to hip osteonecrosis. This is a cross-sectional study comparing the dynamic brain connectivity of healthy individuals (n = 18) with the dynamic brain connectivity of individuals with SCD and chronic pain (n = 22). Individuals with SCD and chronic pain were stratified into high- or low-intensity pain groups based on pain intensity at the time of assessment. Dynamic brain connectivity was assessed through electroencephalography in 3 stages, resting state with eyes closed, and during hip (painful for the SCD individuals) and hand (control, nonpainful) motor imagery. Average weight of the edges and full synchronization time (FST)-time required for 95% of the possible edges to appear over time during a given task-were evaluated. Regarding the average weight of the edges, individuals with SCD and high-intensity pain presented higher edge weight during hip motor imagery. The average weight of the edges correlated positively with pain intensity and depression symptoms. Individuals with SCD and chronic pain complete the cerebral network at rest more quickly (lower FST). Individuals with SCD and chronic pain/hip osteonecrosis have impaired dynamic brain network with shorter FST in rest network and more pronounced diffuse connectivity in individuals with high-intensity pain. The dynamic brain network evaluated by time-varying graphs and motif synchronization was able to identify differences between groups.
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Affiliation(s)
- Jamille Evelyn R S Santana
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil.,Postgraduate Program in Medicine and Health, 28111Federal University of Bahia, Salvador, Brazil
| | - Abrahão F Baptista
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil.,Postgraduate Program in Medicine and Health, 28111Federal University of Bahia, Salvador, Brazil.,Center for Mathematics, Computation and Cognition, 488583Federal University of ABC, Santo Andre, Brazil
| | - Rita Lucena
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil.,Postgraduate Program in Medicine and Health, 28111Federal University of Bahia, Salvador, Brazil.,Medical School of Bahia, 28111Federal University of Bahia, Salvador, Brazil
| | - Tiago da S Lopes
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil.,Postgraduate Program in Medicine and Health, 28111Federal University of Bahia, Salvador, Brazil.,Adventist Neuromodulation and Neuroscience Laboratory, Bahia Adventist College, Cachoeira, Brazil
| | - Raphael S do Rosário
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil.,Institute of Physics, Federal University of Bahia, Salvador, Brazil
| | - Marjorie R Xavier
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil
| | - André Fonseca
- Center for Mathematics, Computation and Cognition, 488583Federal University of ABC, Santo Andre, Brazil
| | - José Garcia V Miranda
- Health and Functionality Study Group, 28111Federal University of Bahia, Salvador, Brazil.,Institute of Physics, Federal University of Bahia, Salvador, Brazil
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32
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Teixeira PEP, Pacheco-Barrios K, Uygur-Kucukseymen E, Machado RM, Balbuena-Pareja A, Giannoni-Luza S, Luna-Cuadros MA, Cardenas-Rojas A, Gonzalez-Mego P, Mejia-Pando PF, Wagner T, Dipietro L, Fregni F. Electroencephalography Signatures for Conditioned Pain Modulation and Pain Perception in Non-Specific Chronic Low Back Pain-an Exploratory Study. PAIN MEDICINE 2021; 23:558-570. [PMID: 34633449 DOI: 10.1093/pm/pnab293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/19/2021] [Accepted: 07/24/2021] [Indexed: 12/24/2022]
Abstract
Conditioned pain modulation (CPM) can discriminate between healthy and chronic pain patients. However, its relationship with neurophysiological pain mechanisms is poorly understood. Brain oscillations measured by electroencephalography (EEG) might help gain insight into this complex relationship. OBJECTIVE To investigate the relationship between CPM response and self-reported pain intensity in non-specific chronic low back pain (NSCLBP) and explore respective EEG signatures associated to these mechanisms. DESIGN Cross-sectional analysis. Participants: Thirty NSCLBP patients participated. METHODS Self-reported low back pain, questionnaires, mood scales, CPM (static and dynamic quantitative sensory tests), and resting surface EEG data were collected and analyzed. Linear regression models were used for statistical analysis. RESULTS CPM was not significantly correlated with self-reported pain intensity scores. Relative power of EEG in the beta and high beta bands as recorded from the frontal, central, and parietal cortical areas were significantly associated with CPM. EEG relative power at delta and theta bands as recorded from the central area were significantly correlated with self-reported pain intensity scores while controlling for self-reported depression. CONCLUSIONS Faster EEG frequencies recorded from pain perception areas may provide a signature of a potential cortical compensation caused by chronic pain states. Slower EEG frequencies may have a critical role in abnormal pain processing.
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Affiliation(s)
- Paulo E P Teixeira
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA.,MGH Institute of Health Professions, Boston, MA, USA.,Instituto Wilson Mello, Campinas, SP, Brazil
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA.,Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, . Lima, Peru
| | - Elif Uygur-Kucukseymen
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Roberto Mathias Machado
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Ana Balbuena-Pareja
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Stefano Giannoni-Luza
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Maria Alejandra Luna-Cuadros
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Paola Gonzalez-Mego
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Piero F Mejia-Pando
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Timothy Wagner
- Division of Health Sciences and Technology, Harvard Medical School/Massachusetts Institute of Technology, Boston, MA.,Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Laura Dipietro
- Division of Health Sciences and Technology, Harvard Medical School/Massachusetts Institute of Technology, Boston, MA
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA.,Highland Instruments, Inc., Cambridge, MA, USA
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33
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Martín-Brufau R, Gómez MN, Sanchez-Sanchez-Rojas L, Nombela C. Fibromyalgia Detection Based on EEG Connectivity Patterns. J Clin Med 2021; 10:jcm10153277. [PMID: 34362061 PMCID: PMC8348913 DOI: 10.3390/jcm10153277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 01/04/2023] Open
Abstract
Objective: The identification of a complementary test to confirm the diagnosis of FM. The diagnosis of fibromyalgia (FM) is based on clinical features, but there is still no consensus, so patients and clinicians might benefit from such a test. Recent findings showed that pain lies in neuronal bases (pain matrices) and, in the long term, chronic pain modifies the activity and dynamics of brain structures. Our hypothesis is that patients with FM present lower levels of brain activity and therefore less connectivity than controls. Methods: We registered the resting state EEG of 23 patients with FM and compared them with 23 control subjects’ resting state recordings from the PhysioBank database. We measured frequency, amplitude, and functional connectivity, and conducted source localization (sLORETA). ROC analysis was performed on the resulting data. Results: We found significant differences in brain bioelectrical activity at rest in all analyzed bands between patients and controls, except for Delta. Subsequent source analysis provided connectivity values that depicted a distinct profile, with high discriminative capacity (between 91.3–100%) between the two groups. Conclusions: Patients with FM show a distinct neurophysiological pattern that fits with the clinical features of the disease.
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Affiliation(s)
- Ramón Martín-Brufau
- Unidad de Corta Estancia, Hospital Psiquiátrico Román Alberca, National Service of Health, 30120 Murcia, Spain;
| | | | - Leyre Sanchez-Sanchez-Rojas
- Regenerative Medicine and Advanced Therapies Lab., Instituto de Investigación Sanitaria San Carlos (IdIISC), Hospital Clínico San Carlos, 28040 Madrid, Spain;
| | - Cristina Nombela
- Biological and Health Psychology, Autonomous University of Madrid (UAM), 28049 Madrid, Spain
- Correspondence: ; Tel.: +34-4975921
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Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG). Neural Plast 2021; 2021:8537437. [PMID: 34306064 PMCID: PMC8266462 DOI: 10.1155/2021/8537437] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 06/12/2021] [Accepted: 06/21/2021] [Indexed: 12/13/2022] Open
Abstract
Objectively and accurately assessing pain in clinical settings is challenging. Previous studies showed that alpha oscillations of electroencephalogram data are correlated with subjective perceived pain. Based on this finding, this study is aimed at assessing chronic low back pain based on alpha oscillations. Multichannel electroencephalogram data were recorded from 27 subjects with chronic low back pain under the simple conditions of closing eyes or opening eyes. Spectral analyses were conducted to extract the alpha band responses, and the alpha powers were calculated for the two conditions, respectively. Normalized alpha power was calculated by subtracting the alpha power in the eyes-open condition from that in the eyes-closed condition. The correlation between the alpha power and the subjective pain intensity was evaluated in frontal, central, and posterior regions. The normalized alpha power in the central region was negatively correlated with the subjective pain intensity (R = -0.50, P = 0.01), with the strongest correlation occurring at the Cz electrode (R = -0.59, P = 0.04). The correlation analysis results demonstrated the possibility of using the differences of alpha spectral power between eyes-closed and eyes-open conditions as a measure for assessing chronic low back pain. The findings suggest that the normalized alpha power in the central region may be used as a measurable and quantitative indicator of chronic pain for clinical applications.
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35
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Possible Mechanisms for the Effects of Sound Vibration on Human Health. Healthcare (Basel) 2021; 9:healthcare9050597. [PMID: 34069792 PMCID: PMC8157227 DOI: 10.3390/healthcare9050597] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/05/2021] [Accepted: 05/10/2021] [Indexed: 12/17/2022] Open
Abstract
This paper presents a narrative review of research literature to “map the landscape” of the mechanisms of the effect of sound vibration on humans including the physiological, neurological, and biochemical. It begins by narrowing music to sound and sound to vibration. The focus is on low frequency sound (up to 250 Hz) including infrasound (1–16 Hz). Types of application are described and include whole body vibration, vibroacoustics, and focal applications of vibration. Literature on mechanisms of response to vibration is categorized into hemodynamic, neurological, and musculoskeletal. Basic mechanisms of hemodynamic effects including stimulation of endothelial cells and vibropercussion; of neurological effects including protein kinases activation, nerve stimulation with a specific look at vibratory analgesia, and oscillatory coherence; of musculoskeletal effects including muscle stretch reflex, bone cell progenitor fate, vibration effects on bone ossification and resorption, and anabolic effects on spine and intervertebral discs. In every category research on clinical applications are described. The conclusion points to the complexity of the field of vibrational medicine and calls for specific comparative research on type of vibration delivery, amount of body or surface being stimulated, effect of specific frequencies and intensities to specific mechanisms, and to greater interdisciplinary cooperation and focus.
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36
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The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery. Neural Plast 2021; 2021:5543974. [PMID: 33897775 PMCID: PMC8052183 DOI: 10.1155/2021/5543974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/05/2021] [Accepted: 03/16/2021] [Indexed: 11/17/2022] Open
Abstract
Even with an improved understanding of pain mechanisms and advances in perioperative pain management, inadequately controlled postoperative pain remains. Predicting acute postoperative pain based on presurgery physiological measures could provide valuable insights into individualized, effective analgesic strategies, thus helping improve the analgesic efficacy. Considering the strong correlation between pain perception and neural oscillations, we hypothesize that acute postoperative pain could be predicted by neural oscillations measured shortly before the surgery. Here, we explored the relationship between neural oscillations 2 hours before the thoracoscopic surgery and the subjective intensity of acute postoperative pain. The spectral power density of resting-state beta and gamma band oscillations at the frontocentral region was significantly different between patients with different levels of acute postoperative pain (i.e., low pain vs. moderate/high pain). A positive correlation was also observed between the spectral power density of resting-state beta and gamma band oscillations and subjective reports of postoperative pain. Then, we predicted the level of acute postoperative pain based on features of neural oscillations using machine learning techniques, which achieved a prediction accuracy of 92.54% and a correlation coefficient between the real pain intensities and the predicted pain intensities of 0.84. Altogether, the prediction of acute postoperative pain based on neural oscillations measured before the surgery is feasible and could meet the clinical needs in the future for better control of postoperative pain and other unwanted negative effects. The study was registered on the Clinical Trial Registry (https://clinicaltrials.gov/ct2/show/NCT03761576?term=NCT03761576&draw=2&rank=1) with the registration number NCT03761576.
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37
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Teixeira M, Mancini C, Wicht CA, Maestretti G, Kuntzer T, Cazzoli D, Mouthon M, Annoni JM, Chabwine JN. Beta Electroencephalographic Oscillation Is a Potential GABAergic Biomarker of Chronic Peripheral Neuropathic Pain. Front Neurosci 2021; 15:594536. [PMID: 33716642 PMCID: PMC7952534 DOI: 10.3389/fnins.2021.594536] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 01/25/2021] [Indexed: 01/21/2023] Open
Abstract
This preliminary investigation aimed to assess beta (β) oscillation, a marker of the brain GABAergic signaling, as a potential objective pain marker, hence contributing at the same time to the mechanistic approach of pain management. This case–control observational study measured β electroencephalographic (EEG) oscillation in 12 right-handed adult male with chronic neuropathic pain and 10 matched controls (∼55 years). Participants were submitted to clinical evaluation (pain visual analog scale, Hospital Anxiety, and Depression scale) and a 24-min high-density EEG recording (BIOSEMI). Data were analyzed using the EEGlab toolbox (MATLAB), SPSS, and R. The global power spectrum computed within the low (Lβ, 13–20 Hz) and the high (Hβ, 20–30 Hz) β frequency sub-bands was significantly lower in patients than in controls, and accordingly, Lβ was negatively correlated to the pain visual analog scale (R = −0.931, p = 0.007), whereas Hβ correlation was at the edge of significance (R = −0.805; p = 0.053). Patients’ anxiety was correlated to pain intensity (R = 0.755; p = 0.003). Normalization of the low and high β global power spectrum (GPS) to the GPS of the full frequency range, while confirming the significant Lβ power decrease in chronic neuropathic pain patients, vanished the significance of the Hβ decrease, as well as the correlation between Lβ power and pain intensity. Our results suggest that the GABAergic Lβ EEG oscillation is affected by chronic neuropathic pain. Confirming the Lβ GPS decrease and the correlation with pain intensity in larger studies would open new opportunities for the clinical application of gamma-aminobutyric acid-modifying therapies.
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Affiliation(s)
- Micael Teixeira
- Neurology Unit, Medicine Section, Laboratory for Cognitive and Neurological Science, Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland.,Faculty of Medicine, University of Bern, Bern, Switzerland
| | - Christian Mancini
- Neurology Unit, Medicine Section, Laboratory for Cognitive and Neurological Science, Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Corentin Aurèle Wicht
- Neurology Unit, Medicine Section, Laboratory for Cognitive and Neurological Science, Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | | | - Thierry Kuntzer
- Nerve-Muscle Unit, Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Dario Cazzoli
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.,Perception and Eye Movement Laboratory, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Michael Mouthon
- Neurology Unit, Medicine Section, Laboratory for Cognitive and Neurological Science, Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Jean-Marie Annoni
- Neurology Unit, Medicine Section, Laboratory for Cognitive and Neurological Science, Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Joelle Nsimire Chabwine
- Neurology Unit, Medicine Section, Laboratory for Cognitive and Neurological Science, Department of Neuroscience and Movement Science, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland.,Division of Neurorehabilitation, Fribourg Hospital, Fribourg, Switzerland
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Leon-Llamas JL, Villafaina S, Murillo-Garcia A, Gusi N. Impact of Fibromyalgia in the Hippocampal Subfields Volumes of Women-An MRI Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041549. [PMID: 33561969 PMCID: PMC7915872 DOI: 10.3390/ijerph18041549] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 11/16/2022]
Abstract
Patients with fibromyalgia (FM) show widespread pain associated with other symptoms such as cognitive problems, depression, and anxiety among others associated with alterations in the central nervous system. The hippocampal subfields had differences in function, histology, and connectivity with other brain regions, and are altered in different diseases. This study evaluates the volumetric differences between patients with FM compared with a healthy control group. A total of 49 women with, and 43 healthy women completed this study. T1-weighted MRI was used to assess brain volume, and FreeSurfer software was used to segment the hippocampal subfields. Women with FM had a significant reduction in most of the hippocampal subfields. The regression equation models were obtained to predict the volume of specific subfields of the right and left hippocampus. These findings provide that women with FM have lower hippocampal subfields volumes compared with healthy women. Besides, regression models show that different covariates, such as age, cognitive impairment, or depression, are related to specific subfields.
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Affiliation(s)
- Juan Luis Leon-Llamas
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
| | - Santos Villafaina
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
| | - Alvaro Murillo-Garcia
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
- Correspondence:
| | - Narcis Gusi
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
- International Institute for Innovation in Aging, University of Extremadura, 10003 Caceres, Spain
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Völker JM, Arguissain FG, Manresa JB, Andersen OK. Characterization of Source-Localized EEG Activity During Sustained Deep-Tissue Pain. Brain Topogr 2021; 34:192-206. [PMID: 33403561 DOI: 10.1007/s10548-020-00815-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 12/16/2020] [Indexed: 02/06/2023]
Abstract
Musculoskeletal pain is a clinical condition that is characterized by ongoing pain and discomfort in the deep tissues such as muscle, bones, ligaments, nerves, and tendons. In the last decades, it was subject to extensive research due to its high prevalence. Still, a quantitative description of the electrical brain activity during musculoskeletal pain is lacking. This study aimed to characterize intracranial current source density (CSD) estimations during sustained deep-tissue experimental pain. Twenty-three healthy volunteers received three types of tonic stimuli for three minutes each: computer-controlled cuff pressure (1) below pain threshold (sustained deep-tissue no-pain, SDTnP), (2) above pain threshold (sustained deep-tissue pain, SDTP) and (3) vibrotactile stimulation (VT). The CSD in response to these stimuli was calculated in seven regions of interest (ROIs) likely involved in pain processing: contralateral anterior cingulate cortex, contralateral primary somatosensory cortex, bilateral anterior insula, contralateral dorsolateral prefrontal cortex, posterior parietal cortex and contralateral premotor cortex. Results showed that participants exhibited an overall increase in spectral power during SDTP in all seven ROIs compared to both SDTnP and VT, likely reflecting the differences in the salience of these stimuli. Moreover, we observed a difference is CSD due to the type of stimulus, likely reflecting somatosensory discrimination of stimulus intensity. These results describe the different contributions of neural oscillations within these brain regions in the processing of sustained deep-tissue pain.
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Affiliation(s)
- Juan Manuel Völker
- Department of Health Science and Technology, Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Aalborg University, Aalborg, Denmark.
| | - Federico Gabriel Arguissain
- Department of Health Science and Technology, Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Aalborg University, Aalborg, Denmark
| | - José Biurrun Manresa
- Department of Health Science and Technology, Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Aalborg University, Aalborg, Denmark.,Institute for Research and Development in Bioengineering and Bioinformatics (IBB), CONICET-UNER, Oro Verde, Argentina
| | - Ole Kæseler Andersen
- Department of Health Science and Technology, Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Aalborg University, Aalborg, Denmark
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Bernardi L, Bertuccelli M, Formaggio E, Rubega M, Bosco G, Tenconi E, Cattelan M, Masiero S, Del Felice A. Beyond physiotherapy and pharmacological treatment for fibromyalgia syndrome: tailored tACS as a new therapeutic tool. Eur Arch Psychiatry Clin Neurosci 2021; 271:199-210. [PMID: 33237361 PMCID: PMC7867558 DOI: 10.1007/s00406-020-01214-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 11/07/2020] [Indexed: 12/17/2022]
Abstract
Fibromyalgia syndrome (FMS) is a complex pain disorder, characterized by diffuse pain and cognitive disturbances. Abnormal cortical oscillatory activity may be a promising biomarker, encouraging non-invasive neurostimulation techniques as a treatment. We aimed to modulate abnormal slow cortical oscillations by delivering transcranial alternating current stimulation (tACS) and physiotherapy to reduce pain and cognitive symptoms. This was a double-blinded, randomized, crossover trial conducted between February and September 2018 at the Rehabilitation Unit of a teaching Hospital (NCT03221413). Participants were randomly assigned to tACS or random noise stimulation (RNS), 5 days/week for 2 weeks followed by ad hoc physiotherapy. Clinical and cognitive assessments were performed at T0 (baseline), T1 (after stimulation), T2 (1 month after stimulation). Electroencephalogram (EEG) spectral topographies recorded from 15 participants confirmed slow-rhythm prevalence and provided tACS tailored stimulation parameters and electrode sites. Following tACS, EEG alpha1 ([8-10] Hz) activity increased at T1 (p = 0.024) compared to RNS, pain symptoms assessed by Visual Analog Scale decreased at T1 (T1 vs T0 p = 0.010), self-reported cognitive skills and neuropsychological scores improved both at T1 and T2 (Patient-Reported Outcomes in Cognitive Impairment, T0-T2, p = 0.024; Everyday memory questionnaire, T1 compared to RNS, p = 0.012; Montréal Cognitive Assessment, T0 vs T1, p = 0.048 and T0 vs T2, p = 0.009; Trail Making Test B T0-T2, p = 0.034). Psychopathological scales and other neuropsychological scores (Trail Making Test-A; Total Phonemic Fluency; Hopkins Verbal Learning Test-Revised; Rey-Osterrieth Complex Figure) improved both after tACS and RNS but earlier improvements (T1) were registered only after tACS. These results support tACS coupled with physiotherapy in treating FMS cognitive symptoms, pain and subclinical psychopathology.
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Affiliation(s)
- Laura Bernardi
- Department of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Paduas, Italy
| | - Margherita Bertuccelli
- Department of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128, Paduas, Italy. .,Department of Neurosciencse and Padova Neuroscience Center, University of Padova, 35131, Padua, Italy.
| | - Emanuela Formaggio
- Department of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Paduas, Italy
| | - Maria Rubega
- Department of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Paduas, Italy
| | - Gerardo Bosco
- Department of Biomedical Sciences, University of Padova, Via Marzolo 3, 35031 Padua, Italy
| | - Elena Tenconi
- Department of Neuroscience and Padova Neuroscience Center, Psychiatric Clinic, University of Padova, Via Giustiniani 3, 35128 Padua, Italy
| | - Manuela Cattelan
- Department of Statistical Sciences, University of Padova, via C. Battisti 241, 35121 Padua, Italy
| | - Stefano Masiero
- Department of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Paduas, Italy ,Department of Neurosciencse and Padova Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Alessandra Del Felice
- Department of Neuroscience, Section of Rehabilitation, University of Padova, via Giustiniani 3, 35128 Paduas, Italy ,Department of Neurosciencse and Padova Neuroscience Center, University of Padova, 35131 Padua, Italy
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41
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Villafaina S, Fuentes-García JP, Cano-Plasencia R, Gusi N. Neurophysiological Differences Between Women With Fibromyalgia and Healthy Controls During Dual Task: A Pilot Study. Front Psychol 2020; 11:558849. [PMID: 33250807 PMCID: PMC7672184 DOI: 10.3389/fpsyg.2020.558849] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 09/24/2020] [Indexed: 01/05/2023] Open
Abstract
Background Women with FM have a reduced ability to perform two simultaneous tasks. However, the impact of dual task (DT) on the neurophysiological response of women with FM has not been studied. Objective To explore both the neurophysiological response and physical performance of women with FM and healthy controls while performing a DT (motor–cognitive). Design Cross-sectional study. Methods A total of 17 women with FM and 19 age- and sex-matched healthy controls (1:1 ratio) were recruited. The electroencephalographic (EEG) activity was recorded while participants performed two simultaneous tasks: a motor (30 seconds arm-curl test) and a cognitive (remembering three unrelated words). Theta (4–7 Hz), alpha (8–12 Hz), and beta (13–30) frequency bands were analyzed by using EEGLAB. Results Significant differences were obtained in the healthy control group between single task (ST) and DT in the theta, alpha, and beta frequency bands (p-value < 0.05). Neurophysiological differences between ST and DT were not found in women with FM. In addition, between-group differences were found in the alpha and beta frequency bands between healthy and FM groups, with lower values of beta and alpha in the FM group. Therefore, significant group∗condition interactions were detected in the alpha and beta frequency bands. Regarding physical condition performance, between groups, analyses showed that women with FM obtained significantly worse results in the arm curl test than healthy controls, in both ST and DT. Conclusion Women with FM showed the same electrical brain activity pattern during ST and DT conditions, whereas healthy controls seem to adapt their brain activity to task commitment. This is the first study that investigates the neurophysiological response of women with FM while simultaneously performing a motor and a cognitive task.
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Affiliation(s)
- Santos Villafaina
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain
| | | | - Ricardo Cano-Plasencia
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain.,Clinical Neurophysiology, San Pedro de Alcántara Hospital, Cáceres, Spain
| | - Narcis Gusi
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain
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42
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Lloyd DM, Wittkopf PG, Arendsen LJ, Jones AK. Is Transcranial Direct Current Stimulation (tDCS) Effective for the Treatment of Pain in Fibromyalgia? A Systematic Review and Meta-Analysis. THE JOURNAL OF PAIN 2020; 21:1085-1100. [DOI: 10.1016/j.jpain.2020.01.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 12/22/2019] [Accepted: 01/06/2020] [Indexed: 01/24/2023]
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43
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Abstract
Neural oscillations play an important role in the integration and segregation of brain regions that are important for brain functions, including pain. Disturbances in oscillatory activity are associated with several disease states, including chronic pain. Studies of neural oscillations related to pain have identified several functional bands, especially alpha, beta, and gamma bands, implicated in nociceptive processing. In this review, we introduce several properties of neural oscillations that are important to understand the role of brain oscillations in nociceptive processing. We also discuss the role of neural oscillations in the maintenance of efficient communication in the brain. Finally, we discuss the role of neural oscillations in healthy and chronic pain nociceptive processing. These data and concepts illustrate the key role of regional and interregional neural oscillations in nociceptive processing underlying acute and chronic pains.
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Affiliation(s)
- Junseok A. Kim
- Division of Brain, Imaging and Behaviour, Krembil Brain Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Karen D. Davis
- Division of Brain, Imaging and Behaviour, Krembil Brain Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
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44
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Ta Dinh S, Nickel MM, Tiemann L, May ES, Heitmann H, Hohn VD, Edenharter G, Utpadel-Fischler D, Tölle TR, Sauseng P, Gross J, Ploner M. Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography. Pain 2020; 160:2751-2765. [PMID: 31356455 PMCID: PMC7195856 DOI: 10.1097/j.pain.0000000000001666] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Chronic pain is a common and severely disabling disease whose treatment is often unsatisfactory. Insights into the brain mechanisms of chronic pain promise to advance the understanding of the underlying pathophysiology and might help to develop disease markers and novel treatments. Here, we systematically exploited the potential of electroencephalography to determine abnormalities of brain function during the resting state in chronic pain. To this end, we performed state-of-the-art analyses of oscillatory brain activity, brain connectivity, and brain networks in 101 patients of either sex suffering from chronic pain. The results show that global and local measures of brain activity did not differ between chronic pain patients and a healthy control group. However, we observed significantly increased connectivity at theta (4-8 Hz) and gamma (>60 Hz) frequencies in frontal brain areas as well as global network reorganization at gamma frequencies in chronic pain patients. Furthermore, a machine learning algorithm could differentiate between patients and healthy controls with an above-chance accuracy of 57%, mostly based on frontal connectivity. These results suggest that increased theta and gamma synchrony in frontal brain areas are involved in the pathophysiology of chronic pain. Although substantial challenges concerning the reproducibility of the findings and the accuracy, specificity, and validity of potential electroencephalography-based disease markers remain to be overcome, our study indicates that abnormal frontal synchrony at theta and gamma frequencies might be promising targets for noninvasive brain stimulation and/or neurofeedback approaches.
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Affiliation(s)
- Son Ta Dinh
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Moritz M Nickel
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Laura Tiemann
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Elisabeth S May
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Henrik Heitmann
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Vanessa D Hohn
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Günther Edenharter
- Department of Anesthesiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Daniel Utpadel-Fischler
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Thomas R Tölle
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Paul Sauseng
- Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Joachim Gross
- Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.,Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow, United Kingdom
| | - Markus Ploner
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
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45
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González-Villar AJ, Triñanes Y, Gómez-Perretta C, Carrillo-de-la-Peña MT. Patients with fibromyalgia show increased beta connectivity across distant networks and microstates alterations in resting-state electroencephalogram. Neuroimage 2020; 223:117266. [PMID: 32853817 DOI: 10.1016/j.neuroimage.2020.117266] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/06/2020] [Accepted: 08/10/2020] [Indexed: 01/22/2023] Open
Abstract
Fibromyalgia (FM) is a chronic condition characterized by widespread pain of unknown etiology associated with alterations in the central nervous system. Although previous studies demonstrated altered patterns of brain activity during pain processing in patients with FM, alterations in spontaneous brain oscillations, in terms of functional connectivity or microstates, have been barely explored so far. Here we recorded the EEG from 43 patients with FM and 51 healthy controls during open-eyes resting-state. We analyzed the functional connectivity between different brain networks computing the phase lag index after group Independent Component Analysis, and also performed an EEG microstates analysis. Patients with FM showed increased beta band connectivity between different brain networks and alterations in some microstates parameters (specifically lower occurrence and coverage of microstate class C). We speculate that the observed alterations in spontaneous EEG may suggest the dominance of endogenous top-down influences; this could be related to limited processing of novel external events and the deterioration of flexible behavior and cognitive control frequently reported for FM. These findings provide the first evidence of alterations in long-distance phase connectivity and microstate indices at rest, and represent progress towards the understanding of the pathophysiology of fibromyalgia and the identification of novel biomarkers for its diagnosis.
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Affiliation(s)
- Alberto J González-Villar
- Departamento de Psicoloxía Clínica e Psicobioloxía, Facultade de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain; Psychological Neuroscience Lab, Psychology Research Centre, School of Psychology, University of Minho, Braga, Portugal.
| | - Yolanda Triñanes
- Departamento de Psicoloxía Clínica e Psicobioloxía, Facultade de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | | | - María T Carrillo-de-la-Peña
- Departamento de Psicoloxía Clínica e Psicobioloxía, Facultade de Psicoloxía, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
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46
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Uygur-Kucukseymen E, Castelo-Branco L, Pacheco-Barrios K, Luna-Cuadros MA, Cardenas-Rojas A, Giannoni-Luza S, Zeng H, Gianlorenco AC, Gnoatto-Medeiros M, Shaikh ES, Caumo W, Fregni F. Decreased neural inhibitory state in fibromyalgia pain: A cross-sectional study. Neurophysiol Clin 2020; 50:279-288. [PMID: 32654884 DOI: 10.1016/j.neucli.2020.06.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/09/2020] [Accepted: 06/10/2020] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVES Chronic pain is one of the most common and challenging symptoms in fibromyalgia (FM). Currently, self-reported pain is the main criterion used by clinicians assessing patients with pain. However, it is subjective, and multiple factors can affect pain levels. In this study, we investigated the neural correlates of FM pain using conditioned pain modulation (CPM), electroencephalography (EEG), and transcranial magnetic stimulation (TMS). METHODS In this cross-sectional neurophysiological analysis of a randomized, double-blind controlled trial, 36 patients with fibromyalgia were included. We analyzed CPM, EEG variables and TMS measures and their correlation with pain levels as measured by a visual analog scale. Univariate and multivariate linear regression analyses were performed to identify the predictors of pain severity. RESULTS We found: (1) no association between pain levels and CPM; (2) an association between reduced alpha and beta power over the central region in resting-EEG and higher pain levels; (3) an association between smaller event-related desynchronization (ERD) responses in theta and delta bands over the central region and higher pain levels; (4) an association between smaller ERD responses in theta and delta bands and smaller intracortical inhibition and higher intracortical facilitation ratios; (5) an association between smaller ERD responses in delta band and reduced CPM. CONCLUSIONS Our results do not support CPM as a biomarker for pain intensity in FM. However, our specific EEG findings showing the relationship between pain, CPM and TMS measures suggest that FM leads to a disruption of inhibitory neural modulators and thus support CPM as a likely predictive marker of disrupted pain modulation system. These neurophysiological markers need to be further explored in potential future trials as to find novel targets for the treatment of FM.
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Affiliation(s)
- Elif Uygur-Kucukseymen
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Luis Castelo-Branco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Maria Alejandra Luna-Cuadros
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Stefano Giannoni-Luza
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Huiyan Zeng
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Anna Carolyna Gianlorenco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA; Department of Physical Therapy, Federal University of Sao Carlos, Brazil
| | - Marina Gnoatto-Medeiros
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Emad Salman Shaikh
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA
| | - Wolnei Caumo
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96-13th Street, Charlestown, Boston, MA, USA.
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47
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Telkes L, Hancu M, Paniccioli S, Grey R, Briotte M, McCarthy K, Raviv N, Pilitsis JG. Differences in EEG patterns between tonic and high frequency spinal cord stimulation in chronic pain patients. Clin Neurophysiol 2020; 131:1731-1740. [PMID: 32504934 DOI: 10.1016/j.clinph.2020.03.040] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/20/2020] [Accepted: 03/22/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To investigate the differences in neural patterns between spinal cord stimulation (SCS) waveforms (60-Hz tonic vs 10-KHz high frequency stimulation, HFS) and their correlation to stimulation-induced pain relief. METHODS We recorded 10-channel electroencephalogram (EEG) in response to stimulation ON and OFF in 9 chronic pain patients (4 women, 5 men) during SCS surgery and examined the intraoperative spatio-spectral EEG features. RESULTS We discovered stronger relative alpha power in the somatosensory region and higher trend in alpha/theta peak power ratio in frontal cortex with HFS. We also observed a shift in peak frequency from theta to alpha rhythms in HFS as compared to baseline and tonic stimulation, where slower theta activity was maintained. Further, a positive correlation was found between changes in Oswestry disability index (ODI) scores (from preoperative to postoperative) and HFS-induced alpha/theta peak power ratio in frontal and somatosensory regions. CONCLUSIONS Altogether, our findings suggest that dynamic spectral interactions in theta-alpha band and their spatial distributions might be the first intraoperative neural signatures of pain relief induced by HFS in chronic pain. SIGNIFICANCE Examining electrophysiological changes intraoperatively has a potential to elucidate response to SCS therapy prior to device selection, reducing the healthcare expenditures associated with failed implants.
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Affiliation(s)
- Llknur Telkes
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, NY, USA
| | - Maria Hancu
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, NY, USA
| | | | | | | | | | - Nataly Raviv
- Department of Neurosurgery, Albany Medical Center, NY, USA
| | - Julie G Pilitsis
- Department of Neuroscience and Experimental Therapeutics, Albany Medical College, NY, USA; Department of Neurosurgery, Albany Medical Center, NY, USA.
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48
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Bismuth J, Vialatte F, Lefaucheur JP. Relieving peripheral neuropathic pain by increasing the power-ratio of low-β over high-β activities in the central cortical region with EEG-based neurofeedback: Study protocol for a controlled pilot trial (SMRPain study). Neurophysiol Clin 2020; 50:5-20. [DOI: 10.1016/j.neucli.2019.12.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/27/2022] Open
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Abstract
The individual and social burdens associated with chronic pain have been escalating globally. Accurate pain measurement facilitates early diagnosis, disease progression monitoring and therapeutic efficacy evaluation, thus is a key for the management of chronic pain. Although the "golden standards" of pain measurement are self-reported scales in clinical practice, the reliability of these subjective methods could be easily affected by patients' physiological and psychological status, as well as the assessors' predispositions. Therefore, objective pain assessment has attracted substantial attention recently. Previous studies of functional magnetic resonance imaging (fMRI) revealed that certain cortices and subcortical areas are commonly activated in subjects suffering from pain. Dynamic pain connectome analysis also found various alterations of neural network connectivity that are correlated with the severity of clinical pain symptoms. Electroencephalograph (EEG) demonstrated suppressed spontaneous oscillations during pain experience. Spectral power and coherence analysis of EEG also identified signatures of different types of chronic pain. Furthermore, fMRI and EEG can visualize objective brain activities modulated by analgesics in a mechanism-based way, thus bridge the gaps between animal studies and clinical trials. Using fMRI and EEG, researchers are able to predict therapeutic efficacy and identify personalized optimal first-line regimens. In the future, the emergence of magnetic resonance spectroscopy and cell labelling in MRI would encourage the investigation on metabolic and cellular pain biomarkers. The incorporation of machine learning algorithms with neuroimaging or behavior analysis could further enhance the specificity and accuracy of objective pain assessments.
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Affiliation(s)
- Xiaohan Xu
- Department of Anesthesiology, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, China
| | - Yuguang Huang
- Department of Anesthesiology, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital, Beijing, China
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50
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Bar-Shalita T, Granovsky Y, Parush S, Weissman-Fogel I. Sensory Modulation Disorder (SMD) and Pain: A New Perspective. Front Integr Neurosci 2019; 13:27. [PMID: 31379526 PMCID: PMC6659392 DOI: 10.3389/fnint.2019.00027] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 07/01/2019] [Indexed: 01/17/2023] Open
Abstract
Sensory modulation disorder (SMD) affects sensory processing across single or multiple sensory systems. The sensory over-responsivity (SOR) subtype of SMD is manifested clinically as a condition in which non-painful stimuli are perceived as abnormally irritating, unpleasant, or even painful. Moreover, SOR interferes with participation in daily routines and activities (Dunn, 2007; Bar-Shalita et al., 2008; Chien et al., 2016), co-occurs with daily pain hyper-sensitivity, and reduces quality of life due to bodily pain. Laboratory behavioral studies have confirmed abnormal pain perception, as demonstrated by hyperalgesia and an enhanced lingering painful sensation, in children and adults with SMD. Advanced quantitative sensory testing (QST) has revealed the mechanisms of altered pain processing in SOR whereby despite the existence of normal peripheral sensory processing, there is enhanced facilitation of pain-transmitting pathways along with preserved but delayed inhibitory pain modulation. These findings point to central nervous system (CNS) involvement as the underlying mechanism of pain hypersensitivity in SOR. Based on the mutual central processing of both non-painful and painful sensory stimuli, we suggest shared mechanisms such as cortical hyper-excitation, an excitatory-inhibitory neuronal imbalance, and sensory modulation alterations. This is supported by novel findings indicating that SOR is a risk factor and comorbidity of chronic non-neuropathic pain disorders. This is the first review to summarize current empirical knowledge investigating SMD and pain, a sensory modality not yet part of the official SMD realm. We propose a neurophysiological mechanism-based model for the interrelation between pain and SMD. Embracing the pain domain could significantly contribute to the understanding of this condition’s pathogenesis and how it manifests in daily life, as well as suggesting the basis for future potential mechanism-based therapies.
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Affiliation(s)
- Tami Bar-Shalita
- Department of Occupational Therapy, School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Yelena Granovsky
- Laboratory of Clinical Neurophysiology, Department of Neurology, Faculty of Medicine, Technion-Israel Institute of Technology, Rambam Health Care Campus, Haifa, Israel
| | - Shula Parush
- School of Occupational Therapy, Faculty of Medicine of Hadassah, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Irit Weissman-Fogel
- Physical Therapy Department, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
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