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Sabater-Gárriz Á, Montoya P, Riquelme I. Enhanced EEG power density during painful stretching in individuals with cerebral palsy. RESEARCH IN DEVELOPMENTAL DISABILITIES 2024; 150:104760. [PMID: 38795555 DOI: 10.1016/j.ridd.2024.104760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/22/2024] [Accepted: 05/15/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Pain perception mechanisms in cerebral palsy remain largely unclear. AIMS This study investigates brain activity in adults with cerebral palsy during painful and non-painful stretching to elucidate their pain processing characteristics. METHODS AND PROCEDURES Twenty adults with cerebral palsy and 20 controls underwent EEG in three conditions: rest, non-painful stretching, and painful stretching. Time-frequency power density of theta, alpha, and beta waves in somatosensory and frontal cortices was analyzed, alongside baseline pressure pain thresholds. OUTCOMES AND RESULTS Cerebral palsy individuals exhibited higher theta, alpha, and beta power density in both cortices during painful stretching compared to rest, and lower during non-painful stretching. Controls showed higher power density during non-painful stretching but lower during painful stretching. Cerebral palsy individuals had higher pain sensitivity, with those more sensitive experiencing greater alpha power density. CONCLUSIONS AND IMPLICATIONS These findings confirm alterations in the cerebral processing of pain in individuals with cerebral palsy. This knowledge could enhance future approaches to the diagnosis and treatment of pain in this vulnerable population.
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Affiliation(s)
- Álvaro Sabater-Gárriz
- Balearic ASPACE Foundation, Marratxí, Spain; Health Research Institute of the Balearic Islands (IUNICS-IdISBa), University of the Balearic Islands, Palma de Mallorca, Spain; Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Pedro Montoya
- Health Research Institute of the Balearic Islands (IUNICS-IdISBa), University of the Balearic Islands, Palma de Mallorca, Spain; Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil
| | - Inmaculada Riquelme
- Health Research Institute of the Balearic Islands (IUNICS-IdISBa), University of the Balearic Islands, Palma de Mallorca, Spain; Department of Nursing and Physiotherapy, University of the Balearic Islands, Palma de Mallorca, Spain.
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Mathew J, Perez TM, Adhia DB, De Ridder D, Mani R. Is There a Difference in EEG Characteristics in Acute, Chronic, and Experimentally Induced Musculoskeletal Pain States? a Systematic Review. Clin EEG Neurosci 2024; 55:101-120. [PMID: 36377346 DOI: 10.1177/15500594221138292] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Electroencephalographic (EEG) alterations have been demonstrated in acute, chronic, and experimentally induced musculoskeletal (MSK) pain conditions. However, there is no cumulative evidence on the associated EEG characteristics differentiating acute, chronic, and experimentally induced musculoskeletal pain states, especially compared to healthy controls. The present systematic review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines (PRISMA) to review and summarize available evidence for cortical brain activity and connectivity alterations in acute, chronic, and experimentally induced MSK pain states. Five electronic databases were systematically searched from their inception to 2022. A total of 3471 articles were screened, and 26 full articles (five studies on chronic pain and 21 studies on experimentally induced pain) were included for the final synthesis. Using the Downs and Black risk of assessment tool, 92% of the studies were assessed as low to moderate quality. The review identified a 'very low' level of evidence for the changes in EEG and subjective outcome measures for both chronic and experimentally induced MSK pain based on the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria. Overall, the findings of this review indicate a trend toward decreased alpha and beta EEG power in evoked chronic clinical pain conditions and increased theta and alpha power in resting-state EEG recorded from chronic MSK pain conditions. EEG characteristics are unclear under experimentally induced pain conditions.
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Affiliation(s)
- Jerin Mathew
- Centre for Health, Activity, and Rehabilitation Research (CHARR), School of Physiotherapy, University of Otago, Dunedin, New Zealand
| | - Tyson Michael Perez
- Department of Surgical Sciences, Section of Neurosurgery, Otago Medical School-Dunedin campus, University of Otago, Dunedin, New Zealand
| | - Divya Bharatkumar Adhia
- Department of Surgical Sciences, Section of Neurosurgery, Otago Medical School-Dunedin campus, University of Otago, Dunedin, New Zealand
| | - Dirk De Ridder
- Department of Surgical Sciences, Section of Neurosurgery, Otago Medical School-Dunedin campus, University of Otago, Dunedin, New Zealand
| | - Ramakrishnan Mani
- Centre for Health, Activity, and Rehabilitation Research (CHARR), School of Physiotherapy, University of Otago, Dunedin, New Zealand
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Lopes TS, Santana JE, Silva WS, Fraga FJ, Montoya P, Sá KN, Lopes LC, Lucena R, Zana Y, Baptista AF. Increased Delta and Theta Power Density in Sickle Cell Disease Individuals with Chronic Pain Secondary to Hip Osteonecrosis: A Resting-State Eeg Study. Brain Topogr 2023:10.1007/s10548-023-01027-x. [PMID: 38060074 DOI: 10.1007/s10548-023-01027-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/27/2023] [Indexed: 12/08/2023]
Abstract
PURPOSE Identify the presence of a dysfunctional electroencephalographic (EEG) pattern in individuals with sickle cell disease (SCD) and hip osteonecrosis, and assess its potential associations with depression, anxiety, pain severity, and serum levels of brain-derived neurotrophic factor (BDNF). METHODS In this cross-sectional investigation, 24 SCD patients with hip osteonecrosis and chronic pain were matched by age and sex with 19 healthy controls. Resting-state EEG data were recorded using 32 electrodes for both groups. Power spectral density (PSD) and peak alpha frequency (PAF) were computed for each electrode across Delta, Theta, Alpha, and Beta frequency bands. Current Source Density (CSD) measures were performed utilizing the built-in Statistical nonparametric Mapping Method of the LORETA-KEY software. RESULTS Our findings demonstrated that SCD individuals exhibited higher PSD in delta and theta frequency bands when compared to healthy controls. Moreover, SCD individuals displayed increased CSD in delta and theta frequencies, coupled with decreased CSD in the alpha frequency within brain regions linked to pain processing, motor function, emotion, and attention. In comparison to the control group, depression symptoms, and pain intensity during hip abduction were positively correlated with PSD and CSD in the delta frequency within the parietal region. Depression symptoms also exhibited a positive association with PSD and CSD in the theta frequency within the same region, while serum BDNF levels showed a negative correlation with CSD in the alpha frequency within the left insula. CONCLUSION This study indicates that individuals with SCD experiencing hip osteonecrosis and chronic pain manifest a dysfunctional EEG pattern characterized by the persistence of low-frequency PSD during a resting state. This dysfunctional EEG pattern may be linked to clinical and biochemical outcomes, including depression symptoms, pain severity during movement, and serum BDNF levels.
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Affiliation(s)
- Tiago S Lopes
- Center for Mathematics, Computation, and Cognition, Federal University of ABC, Santo Andre, Brazil.
- NAPEN network (Nucleus of Assistance, Research, and Teaching in Neuromodulation), São Paulo, Brazil.
- Bahia Adventist College, Cachoeira, Brazil.
| | - Jamille E Santana
- Center for Mathematics, Computation, and Cognition, Federal University of ABC, Santo Andre, Brazil
- NAPEN network (Nucleus of Assistance, Research, and Teaching in Neuromodulation), São Paulo, Brazil
| | | | - Francisco J Fraga
- Engineering, Modelling, and Applied Social Sciences Center, Federal University of ABC, Santo André, SP, Brazil
| | - Pedro Montoya
- Center for Mathematics, Computation, and Cognition, Federal University of ABC, Santo Andre, Brazil
- Research Institute of Health Sciences, University of Balearic Islands, Palma de Mallorca, Spain
| | - Katia N Sá
- NAPEN network (Nucleus of Assistance, Research, and Teaching in Neuromodulation), São Paulo, Brazil
- Postgraduate and Research, Escola Bahiana de Medicina e Saúde Pública, Salvador, Bahia, Brazil
| | - Larissa C Lopes
- Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Brazil
| | - Rita Lucena
- Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Brazil
| | - Yossi Zana
- Center for Mathematics, Computation, and Cognition, Federal University of ABC, Santo Andre, Brazil
| | - Abrahão F Baptista
- Center for Mathematics, Computation, and Cognition, Federal University of ABC, Santo Andre, Brazil
- NAPEN network (Nucleus of Assistance, Research, and Teaching in Neuromodulation), São Paulo, Brazil
- Laboratory of Medical Investigations 54, Clinics Hospital, São Paulo State University, São Paulo, Brazil
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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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6
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Corlier J, Tadayonnejad R, Wilson AC, Lee JC, Marder KG, Ginder ND, Wilke SA, Levitt J, Krantz D, Leuchter AF. Repetitive transcranial magnetic stimulation treatment of major depressive disorder and comorbid chronic pain: response rates and neurophysiologic biomarkers. Psychol Med 2023; 53:823-832. [PMID: 34154683 PMCID: PMC9976020 DOI: 10.1017/s0033291721002178] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 04/16/2021] [Accepted: 05/13/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) and chronic pain are highly comorbid, and pain symptoms are associated with a poorer response to antidepressant medication treatment. It is unclear whether comorbid pain also is associated with a poorer response to treatment with repetitive transcranial magnetic stimulation (rTMS). METHODS 162 MDD subjects received 30 sessions of 10 Hz rTMS treatment administered to the left dorsolateral prefrontal cortex (DLPFC) with depression and pain symptoms measured before and after treatment. For a subset of 96 patients, a resting-state electroencephalogram (EEG) was recorded at baseline. Clinical outcome was compared between subjects with and without comorbid pain, and the relationships among outcome, pain severity, individual peak alpha frequency (PAF), and PAF phase-coherence in the EEG were examined. RESULTS 64.8% of all subjects reported pain, and both depressive and pain symptoms were significantly reduced after rTMS treatment, irrespective of age or gender. Patients with severe pain were 27% less likely to respond to MDD treatment than pain-free individuals. PAF was positively associated with pain severity. PAF phase-coherence in the somatosensory and default mode networks was significantly lower for MDD subjects with pain who failed to respond to MDD treatment. CONCLUSIONS Pain symptoms improved after rTMS to left DLPFC in MDD irrespective of age or gender, although the presence of chronic pain symptoms reduced the likelihood of treatment response. Individual PAF and baseline phase-coherence in the sensorimotor and midline regions may represent predictors of rTMS treatment outcome in comorbid pain and MDD.
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Affiliation(s)
- Juliana Corlier
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Reza Tadayonnejad
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - Andrew C Wilson
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Jonathan C Lee
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Katharine G Marder
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Nathaniel D Ginder
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
- VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA
| | - Scott A Wilke
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Jennifer Levitt
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - David Krantz
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Andrew F Leuchter
- TMS Clinical and Research Service, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, and the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90024, USA
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7
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Bassez I, Van de Steen F, Hackl S, Jahn P, Mayr A, Marinazzo D, Schulz E. Investigation on how dynamic effective connectivity patterns encode the fluctuating pain intensity in chronic migraine. NEUROBIOLOGY OF PAIN 2022; 12:100100. [PMID: 36051490 PMCID: PMC9424568 DOI: 10.1016/j.ynpai.2022.100100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 07/20/2022] [Accepted: 07/28/2022] [Indexed: 11/10/2022]
Abstract
Chronic migraine is characterised by persistent headaches for >15 days per month; the intensity of the pain is fluctuating over time. Here, we explored the dynamic interplay of connectivity patterns between regions known to be related to pain processing and their relation to the ongoing dynamic pain experience. We recorded EEG from 80 sessions (20 chronic migraine patients in 4 separate sessions of 25 min). The patients were asked to continuously rate the intensity of their endogenous headache. On different time-windows, a dynamic causal model (DCM) of cross spectral responses was inverted to estimate connectivity strengths. For each patient and session, the evolving dynamics of effective connectivity were related to pain intensities and to pain intensity changes by using a Bayesian linear model. Hierarchical Bayesian modelling was further used to examine which connectivity-pain relations are consistent across sessions and across patients. The results reflect the multi-facetted clinical picture of the disease. Across all sessions, each patient with chronic migraine exhibited a distinct pattern of pain intensity-related cortical connectivity. The diversity of the individual findings are accompanied by inconsistent relations between the connectivity parameters and pain intensity or pain intensity changes at group level. This suggests a rejection of the idea of a common neuronal core problem for chronic migraine.
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Exploring sex differences in alpha brain activity as a potential neuromarker associated with neuropathic pain. Pain 2022; 163:1291-1302. [PMID: 34711764 DOI: 10.1097/j.pain.0000000000002491] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/09/2021] [Indexed: 12/31/2022]
Abstract
ABSTRACT Alpha oscillatory activity (8-13 Hz) is the dominant rhythm in the awake brain and is known to play an important role in pain states. Previous studies have identified alpha band slowing and increased power in the dynamic pain connectome (DPC) of people with chronic neuropathic pain. However, a link between alpha-band abnormalities and sex differences in brain organization in healthy individuals and those with chronic pain is not known. Here, we used resting-state magnetoencephalography to test the hypothesis that peak alpha frequency (PAF) abnormalities are general features across chronic central and peripheral conditions causing neuropathic pain but exhibit sex-specific differences in networks of the DPC (ascending nociceptive pathway [ANP], default mode network, salience network [SN], and subgenual anterior cingulate cortex). We found that neuropathic pain (N = 25 men and 25 women) was associated with increased PAF power in the DPC compared with 50 age- and sex-matched healthy controls, whereas slower PAF in nodes of the SN (temporoparietal junction) and the ANP (posterior insula) was associated with higher trait pain intensity. In the neuropathic pain group, women exhibited lower PAF power in the subgenual anterior cingulate cortex and faster PAF in the ANP and SN than men. The within-sex analyses indicated that women had neuropathic pain-related increased PAF power in the ANP, SN, and default mode network, whereas men with neuropathic pain had increased PAF power restricted to the ANP. These findings highlight neuropathic pain-related and sex-specific abnormalities in alpha oscillations across the DPC that could underlie aberrant neuronal communication in nociceptive processing and modulation.
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9
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Gubler DA, Rominger C, Grosse Holtforth M, Egloff N, Frickmann F, Goetze B, Harnik M, Streitberger K, Zeiss S, Troche SJ. The impact of chronic pain on creative ideation: An examination of the underlying attention-related psychophysiological mechanisms. Eur J Pain 2022; 26:1768-1780. [PMID: 35761767 PMCID: PMC9544945 DOI: 10.1002/ejp.2000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/23/2022] [Accepted: 06/19/2022] [Indexed: 12/04/2022]
Abstract
Background Attentional deficits in patients with chronic pain are common and well studied. Yet, few studies have examined the effects of chronic pain on more complex cognitive abilities that rely on well‐functioning attentional systems. With the current study, we aimed to investigate whether the impact of chronic pain on attention affects creative ideation as measured with an adaptation of the alternate uses task (AUT). Methods Performance in the AUT was compared between 33 patients suffering from chronic pain and 33 healthy matched controls. While solving the task, EEG was recorded to measure the degree of internally directed attention assessed by means of task‐related power (TRP) changes. Results The results revealed that patients with chronic pain generated less creative ideas than healthy controls. This lack of performance was accompanied by lower event‐related synchronization (ERS), especially in right parietal sites. Furthermore, these ERS differences explained one‐third of the inter‐group variance in AUT performance. Conclusions These results suggest that performance decrements in creative ideation in patients with chronic pain may be at least partly attributable to attentional impairments associated with chronic pain. Significance Chronic pain negatively affects attention and more complex cognitive abilities. However, the underlying psychophysiological mechanisms and the role of attention as a source of these impairments in more complex abilities are poorly understood. By analyzing task‐related power changes in the EEG, the role of internal attention in creative ideation could be determined, revealing the functional relationship between chronic pain, attention, and a more complex cognitive ability.
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Affiliation(s)
| | | | - Martin Grosse Holtforth
- Department of Psychology, University of Bern, Bern, Switzerland.,Division of Psychosomatic Medicine, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Niklaus Egloff
- Division of Psychosomatic Medicine, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | | | - Michael Harnik
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Konrad Streitberger
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan Zeiss
- Division of Psychosomatic Medicine, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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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: 27] [Impact Index Per Article: 13.5] [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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11
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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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12
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Tan LL, Oswald MJ, Kuner R. Neurobiology of brain oscillations in acute and chronic pain. Trends Neurosci 2021; 44:629-642. [PMID: 34176645 DOI: 10.1016/j.tins.2021.05.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 03/19/2021] [Accepted: 05/07/2021] [Indexed: 01/08/2023]
Abstract
Pain is a complex perceptual phenomenon. Coordinated activity among local and distant brain networks is a central element of the neural underpinnings of pain. Brain oscillatory rhythms across diverse frequency ranges provide a functional substrate for coordinating activity across local neuronal ensembles and anatomically distant brain areas in pain networks. This review addresses parallels between insights from human and rodent analyses of oscillatory rhythms in acute and chronic pain and discusses recent rodent-based studies that have shed light on mechanistic underpinnings of brain oscillatory dynamics in pain-related behaviors. We highlight the potential for therapeutic modulation of oscillatory rhythms, and identify outstanding questions and challenges to be addressed in future research.
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Affiliation(s)
- Linette Liqi Tan
- Institute of Pharmacology, Heidelberg University, Im Neuenheimer Feld 366, D-69120 Heidelberg, Germany.
| | - Manfred Josef Oswald
- Institute of Pharmacology, Heidelberg University, Im Neuenheimer Feld 366, D-69120 Heidelberg, Germany
| | - Rohini Kuner
- Institute of Pharmacology, Heidelberg University, Im Neuenheimer Feld 366, D-69120 Heidelberg, Germany.
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13
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Brandão RDAFS, Mendes CMC, Lopes TDS, Brandão Filho RA, Sena EPD. Neurophysiological aspects of isotonic exercises in temporomandibular joint dysfunction syndrome. Codas 2021; 33:e20190218. [PMID: 34008769 DOI: 10.1590/2317-1782/20202019218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 06/03/2020] [Indexed: 11/21/2022] Open
Abstract
PURPOSE The aim of the study was to investigate the electroneurophysiological aspects of volunteers with temporomandibular disorders before and after performing isotonic exercises for pain relief and self-care guidelines. METHODS The study was a parallel controlled randomized controlled trial under protocol 1,680,920. The inclusion criteria were age between 18 and 60 years, muscle temporomandibular dysfunction with or without limitation of mouth opening and self-reported pain with scores between 4 and 10. The individuals were randomized into experimental group and control. Twenty-three volunteers participated in the study, most of then were female. Control group had 11 and experimental group 12 individuals. Dropouts occurred in both groups, two in the experimental group and three in the control group. Since there were an intergroup imbalance the power density was analysed just in experimental group. Electroencephalographic recording was performed before and after the interventions, using the 32-channel apparatus, with sample frequency of 600 Hz and impedance of 5 kΩ. The data were processed through the MATLAB computer program. The individual records filtered off-line, using bandpass between 0.5 and 50 Hz. Epochs of 1,710 ms were created and the calculation of the absolute power density calculated by means of the fast Fourier transform. The statistical approach was inferential and quantitative. RESULTS The alpha power density analyzed presented a difference, but not significant, when compared in the two moments. CONCLUSION According to this study, isotonic exercises performed to reduce pain provided a small increase in alpha power density in the left temporal, parietal and occipital regions.
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Affiliation(s)
- Renata de Assis Fonseca Santos Brandão
- Programa de Pós-graduação de Processos Interativo de Órgãos e Sistemas, Instituto de Ciências da Saúde, Universidade Federal da Bahia - UFBA - Salvador (BA), Brasil.,Departamento de Ciências da Vida, Universidade do Estado da Bahia - UNEB - Salvador (BA), Brasil
| | - Carlos Maurício Cardeal Mendes
- Programa de Pós-graduação de Processos Interativo de Órgãos e Sistemas, Instituto de Ciências da Saúde, Universidade Federal da Bahia - UFBA - Salvador (BA), Brasil
| | - Tiago da Silva Lopes
- Programa de Pós-graduação de Medicina e Saúde, Universidade Federal da Bahia - UFBA - Salvador (BA), Brasil.,Faculdade Adventista da Bahia - Cachoeira (BA), Brasil
| | | | - Eduardo Pondé de Sena
- Programa de Pós-graduação de Processos Interativo de Órgãos e Sistemas, Departamento de Farmacologia e Fisiologia, Instituto de Ciências da Saúde, Universidade Federal da Bahia - UFBA - Salvador (BA), Brasil
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14
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Deane G, Miller M, Wilkinson S. Losing Ourselves: Active Inference, Depersonalization, and Meditation. Front Psychol 2020; 11:539726. [PMID: 33250804 PMCID: PMC7673417 DOI: 10.3389/fpsyg.2020.539726] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 10/02/2020] [Indexed: 12/30/2022] Open
Abstract
Disruptions in the ordinary sense of selfhood underpin both pathological and "enlightened" states of consciousness. People suffering from depersonalization can experience the loss of a sense of self as devastating, often accompanied by intense feelings of alienation, fear, and hopelessness. However, for meditative contemplatives from various traditions, "selfless" experiences are highly sought after, being associated with enduring peace and joy. Little is understood about how these contrasting dysphoric and euphoric experiences should be conceptualized. In this paper, we propose a unified account of these selfless experiences within the active inference framework. Building on our recent active inference research, we propose an account of the experiences of selfhood as emerging from a temporally deep generative model. We go on to develop a view of the self as playing a central role in structuring ordinary experience by "tuning" agents to the counterfactually rich possibilities for action. Finally, we explore how depersonalization may result from an inferred loss of allostatic control and contrast this phenomenology with selfless experiences reported by meditation practitioners. We will show how, by beginning with a conception of self-modeling within an active inference framework, we have available to us a new way of conceptualizing the striking experiential similarities and important differences between these selfless experiences within a unifying theoretical framework. We will explore the implications for understanding and treating dissociative disorders, as well as elucidate both the therapeutic potential, and possible dangers, of meditation.
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Affiliation(s)
- George Deane
- Department of Philosophy, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark Miller
- Department of Informatics, University of Sussex, Brighton, United Kingdom
| | - Sam Wilkinson
- Department of Sociology, Philosophy and Anthropology, University of Exeter, Exeter, United Kingdom
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15
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Wang WE, Ho RLM, Gatto B, van der Veen SM, Underation MK, Thomas JS, Antony AB, Coombes SA. Cortical dynamics of movement-evoked pain in chronic low back pain. J Physiol 2020; 599:289-305. [PMID: 33067807 DOI: 10.1113/jp280735] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 10/13/2020] [Indexed: 01/22/2023] Open
Abstract
KEY POINTS Cortical activity underlying movement-evoked pain is not well understood, despite being a key symptom of chronic musculoskeletal pain. We combined high-density electroencephalography with a full-body reaching protocol in a virtual reality environment to assess cortical activity during movement-evoked pain in chronic low back pain. Movement-evoked pain in individuals with chronic low back pain was associated with longer reaction times, delayed peak velocity and greater movement variability. Movement-evoked pain was associated with attenuated disinhibition in prefrontal motor areas, as evidenced by an attenuated reduction in beta power in the premotor cortex and supplementary motor area. ABSTRACT Although experimental pain alters neural activity in the cortex, evidence of changes in neural activity in individuals with chronic low back pain (cLBP) remains scarce and results are inconsistent. One of the challenges in studying cLBP is that the clinical pain fluctuates over time and often changes during movement. The goal of the present study was to address this challenge by recording high-density electroencephalography (HD-EEG) data during a full-body reaching task to understand neural activity during movement-evoked pain. HD-EEG data were analysed using independent component analyses, source localization and measure projection analyses to compare neural oscillations between individuals with cLBP who experienced movement-evoked pain and pain-free controls. We report two novel findings. First, movement-evoked pain in individuals with cLBP was associated with longer reaction times, delayed peak velocity and greater movement variability. Second, movement-evoked pain was associated with an attenuated reduction in beta power in the premotor cortex and supplementary motor area. Our observations move the field forward by revealing attenuated disinhibition in prefrontal motor areas during movement-evoked pain in cLBP.
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Affiliation(s)
- Wei-En Wang
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - Rachel L M Ho
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - Bryan Gatto
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Susanne M van der Veen
- Department of Physical Therapy, College of Health Professions, Virginia Commonwealth University, VA, USA
| | - Matthew K Underation
- Department of Physical Therapy, College of Health Professions, Virginia Commonwealth University, VA, USA
| | - James S Thomas
- Department of Physical Therapy, College of Health Professions, Virginia Commonwealth University, VA, USA
| | | | - Stephen A Coombes
- Department of Applied Physiology and Kinesiology, Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
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16
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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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17
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Abnormal alpha band power in the dynamic pain connectome is a marker of chronic pain with a neuropathic component. NEUROIMAGE-CLINICAL 2020; 26:102241. [PMID: 32203904 PMCID: PMC7090370 DOI: 10.1016/j.nicl.2020.102241] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 02/25/2020] [Accepted: 03/10/2020] [Indexed: 01/08/2023]
Abstract
High theta and low gamma activity in the dynamic pain connectome is linked to chronic pain. High alpha-band activity is present when neuropathic pain is likely. Spectral frequency band strength distinguish neuropathic from non-neuropathic pain.
We previously identified alpha frequency slowing and beta attenuation in the dynamic pain connectome related to pain severity and interference in patients with multiple sclerosis-related neuropathic pain (NP). Here, we determined whether these abnormalities, are markers of aberrant temporal dynamics in non-neuropathic inflammatory pain (non-NP) or when NP is also suspected. We measured resting-state magnetoencephalography (MEG) spectral density in 45 people (17 females, 28 males) with chronic back pain due to ankylosing spondylitis (AS) and 38 age/sex matched healthy controls. We used painDETECT scores to divide the chronic pain group into those with only non-NP (NNP) and those who likely also had a component of NP in addition to their inflammatory pain. We also assessed pain severity, pain interference, and disease activity with the Brief Pain Inventory and Bath AS Disease Activity Index (BASDAI). We examined spectral power in the dynamic pain connectome, including nodes of the ascending nociceptive pathway (ANP), default mode (DMN), and salience networks (SN). Compared to the healthy controls, the AS patients exhibited increased theta power in the DMN and decreased low-gamma power in the DMN and ANP, but did not exhibit beta-band attenuation or peak-alpha slowing. The NNP patients were not different from HCs. Compared to both healthy controls and NNP, NP patients had increased alpha power in the ANP. Increased alpha power within the ANP was associated with reduced BASDAI in the NNP group, and increased pain in the mixed-NP group within the DMN, SN, and ANP. Thus, high theta and low gamma activity may be markers of chronic pain but high alpha-band activity may relate to particular features of neuropathic chronic pain.
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18
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Patterns of brain oscillations across different electrode montages in transcranial pulsed current stimulation. Neuroreport 2018; 28:421-425. [PMID: 28394781 DOI: 10.1097/wnr.0000000000000772] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Transcranial pulsed current stimulation (tPCS) is a neuromodulatory technique that has been studied in the last decade. Several parameters have been assessed independently to optimize the effects. Our aim was to explore the effects of tPCS using different montages on cortical brain oscillations indexed by power spectrum and interhemispheric coherence in different electroencephalography frequency bands. Twenty healthy individuals were randomized to receive either active tPCS or sham intervention using the following bilateral montages: ear clip (conventional), ear hook, or mastoid placement. Electroencephalography was recorded before and after the electroencephalography intervention to assess tPCS-induced after effects. Our results showed that active tPCS with bimastoid montage increased significantly alpha absolute power (P=0.0166) and low alpha (P=0.0014) in the frontal region, as well as in the low alpha power spectrum in the central (P=0.0001) and parieto-occipital regions (P=0.0068) compared with the other montages. For interhemispheric coherence analysis, the Kruskal-Wallis test showed a significant main effect of group for theta (P=0.0012) in the frontal region, mainly for ear-clip montage. Our findings evidenced that tPCS delivered through different electrode montages exert different effects on cortical brain oscillations and thus have a different neural signature. We discuss the implications of these findings as well as potential clinical explorations of this technique.
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19
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Thibaut A, French M, Vasquez A, Fregni F. Optimization of Noninvasive Brain Stimulation Clinical Trials. Neuromodulation 2018. [DOI: 10.1016/b978-0-12-805353-9.00138-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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20
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Lopes TDS, Silva WDS, Ribeiro SB, Figueiredo CA, Campbell FQ, Daltro GDC, Valenzuela A, Montoya P, Lucena RDCS, Baptista AF. Does Transcranial Direct Current Stimulation Combined with Peripheral Electrical Stimulation Have an Additive Effect in the Control of Hip Joint Osteonecrosis Pain Associated with Sickle Cell Disease? A Protocol for a One-Session Double Blind, Block-Randomized Clinical Trial. Front Hum Neurosci 2017; 11:633. [PMID: 29326577 PMCID: PMC5742338 DOI: 10.3389/fnhum.2017.00633] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 12/11/2017] [Indexed: 12/29/2022] Open
Abstract
Chronic pain in Sickle Cell Disease (SCD) is probably related to maladaptive plasticity of brain areas involved in nociceptive processing. Transcranial Direct Current Stimulation (tDCS) and Peripheral Electrical Stimulation (PES) can modulate cortical excitability and help to control chronic pain. Studies have shown that combined use of tDCS and PES has additive effects. However, to date, no study investigated additive effects of these neuromodulatory techniques on chronic pain in patients with SCD. This protocol describes a study aiming to assess whether combined use of tDCS and PES more effectively alleviate pain in patients with SCD compared to single use of each technique. The study consists of a one-session double blind, block-randomized clinical trial (NCT02813629) in which 128 participants with SCD and femoral osteonecrosis will be enrolled. Stepwise procedures will occur on two independent days. On day 1, participants will be screened for eligibility criteria. On day 2, data collection will occur in four stages: sample characterization, baseline assessment, intervention, and post-intervention assessment. These procedures will last ~5 h. Participants will be divided into two groups according to homozygous for S allele (HbSS) (n = 64) and heterozygous for S and C alleles (HbSC) (n = 64) genotypes. Participants in each group will be randomly assigned, equally, to one of the following interventions: (1) active tDCS + active PES; (2) active tDCS + sham PES; (3) sham tDCS + active PES; and (4) sham tDCS + sham PES. Active tDCS intervention will consist of 20 min 2 mA anodic stimulation over the primary motor cortex contralateral to the most painful hip. Active PES intervention will consist of 30 min sensory electrical stimulation at 100 Hz over the most painful hip. The main study outcome will be pain intensity, measured by a Visual Analogue Scale. In addition, electroencephalographic power density, cortical maps of the gluteus maximus muscle elicited by Transcranial Magnetic Stimulation (TMS), serum levels of Brain-derived Neurotrophic Factor (BDNF), and Tumor Necrosis Factor (TNF) will be assessed as secondary outcomes. Data will be analyzed using ANOVA of repeated measures, controlling for confounding variables.
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Affiliation(s)
- Tiago da Silva Lopes
- Health and Functionality Study Group, Federal University of Bahia, Salvador, Brazil.,Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Brazil
| | - Wellington Dos Santos Silva
- Health and Functionality Study Group, Federal University of Bahia, Salvador, Brazil.,Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Brazil.,Health Section, Adventist Faculty of Bahia, Cachoeira, Brazil
| | - Sânzia B Ribeiro
- Health and Functionality Study Group, Federal University of Bahia, Salvador, Brazil.,Health Section, Adventist Faculty of Bahia, Cachoeira, Brazil
| | | | - Fernanda Q Campbell
- Health and Functionality Study Group, Federal University of Bahia, Salvador, Brazil
| | | | | | - Pedro Montoya
- Research Institute of Health Sciences (IUNICS), University of the Balearic Islands, Palma, Spain
| | - Rita de C S Lucena
- Health and Functionality Study Group, Federal University of Bahia, Salvador, Brazil.,Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Brazil
| | - Abrahão F Baptista
- Health and Functionality Study Group, Federal University of Bahia, Salvador, Brazil.,Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Brazil.,Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil
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