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Sorkpor SK, Montero-Hernandez S, Miao H, Pollonini L, Ahn H. Assessing the impact of preferred web app-based music-listening on pain processing at the central nervous level in older black adults with low back pain: An fNIRS study. Geriatr Nurs 2023; 54:135-143. [PMID: 37782976 DOI: 10.1016/j.gerinurse.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Low back pain (LBP) disproportionately affects older black adults, often leading to inadequate treatment due to clinician biases. Objective pain measures are imperative, and Functional Near-Infrared Spectroscopy (fNIRS) shows promise for pain detection. AIM To determine the impact of listening to home-based preferred web app-based music on underlying pain processing mechanisms at the central nervous level in older black adults aged ≥65 with LBP. METHODS Twenty older black adults with LBP listened to preferred music twice daily for four days using the MUSIC CARE® app. Neuroimaging data were collected using fNIRS. Data were transformed to changes in oxy-hemoglobin and deoxy-hemoglobin concentrations and analyzed. RESULTS Significant cortical activation pattern differences were observed between pre-and post-intervention scans, particularly in somatosensory regions. Post-intervention scans showed significantly reduced hemodynamic activities. CONCLUSION Preferred music listening has the potential to alleviate pain, and fNIRS emerges as a promising tool for exploring cortical-level pain-related neural circuits.
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Affiliation(s)
- Setor K Sorkpor
- Florida State University, College of Nursing, Tallahassee, FL, USA.
| | | | - Hongyu Miao
- Florida State University, College of Nursing, Tallahassee, FL, USA
| | - Luca Pollonini
- Departments of Engineering Technology, University of Houston, TX, USA
| | - Hyochol Ahn
- University of Arizona College of Nursing, Tucson, AZ, USA
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Montero-Hernandez S, Pollonini L, Park L, Martorella G, Miao H, Mathis KB, Ahn H. Self-administered transcranial direct current stimulation treatment of knee osteoarthritis alters pain-related fNIRS connectivity networks. Neurophotonics 2023; 10:015011. [PMID: 37006323 PMCID: PMC10063907 DOI: 10.1117/1.nph.10.1.015011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 03/07/2023] [Indexed: 06/19/2023]
Abstract
SIGNIFICANCE Knee osteoarthritis (OA) is a disease that causes chronic pain in the elderly population. Currently, OA is mainly treated pharmacologically with analgesics, although research has shown that neuromodulation via transcranial direct current stimulation (tDCS) may be beneficial in reducing pain in clinical settings. However, no studies have reported the effects of home-based self-administered tDCS on functional brain networks in older adults with knee OA. AIM We used functional near-infrared spectroscopy (fNIRS) to investigate the functional connectivity effects of tDCS on underlying pain processing mechanisms at the central nervous level in older adults with knee OA. APPROACH Pain-related brain connectivity networks were extracted using fNIRS at baseline and for three consecutive weeks of treatment from 120 subjects randomly assigned to two groups undergoing active tDCS and sham tDCS. RESULTS Our results showed that the tDCS intervention significantly modulated pain-related connectivity correlation only in the group receiving active treatment. We also found that only the active treatment group showed a significantly reduced number and strength of functional connections evoked during nociception in the prefrontal cortex, primary motor (M1), and primary somatosensory (S1) cortices. To our knowledge, this is the first study in which the effect of tDCS on pain-related connectivity networks is investigated using fNIRS. CONCLUSIONS fNIRS-based functional connectivity can be effectively used to investigate neural circuits of pain at the cortical level in association with nonpharmacological, self-administered tDCS treatment.
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Affiliation(s)
| | - Luca Pollonini
- University of Houston, Department of Engineering Technology, Houston, Texas, United States
- University of Houston, Department of Electrical and Computer Engineering, Houston, Texas, United States
- University of Houston, Department of Biomedical Engineering, Houston, Texas, United States
- Basque Center on Cognition, Brain and Language, San Sebastian, Spain
| | - Lindsey Park
- Florida State University, College of Nursing, Tallahassee, Florida, United States
| | - Geraldine Martorella
- Florida State University, College of Nursing, Tallahassee, Florida, United States
| | - Hongyu Miao
- Florida State University, College of Nursing, Tallahassee, Florida, United States
| | - Kenneth B. Mathis
- The University of Texas Health Science Center at Houston, McGovern Medical School, Department of Orthopedic Surgery, Houston, Texas, United States
| | - Hyochol Ahn
- Florida State University, College of Nursing, Tallahassee, Florida, United States
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Pollonini L, Montero-Hernandez S, Park L, Miao H, Mathis K, Ahn H. Functional Near-Infrared Spectroscopy to Assess Central Pain Responses in a Nonpharmacologic Treatment Trial of Osteoarthritis. J Neuroimaging 2020; 30:808-814. [PMID: 32896933 DOI: 10.1111/jon.12782] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 07/31/2020] [Accepted: 08/21/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND AND PURPOSE Knee osteoarthritis (OA) is a common source of pain in older adults. Although OA-induced pain can be relieved with analgesics and anti-inflammatory drugs, the current opioid epidemic is fostering the exploration of nonpharmacologic strategies for pain mitigation. Amongs these, transcranial direct current stimulation (tDCS) and mindfulness-based meditation (MBM) hold potential for pain-relief efficacy due to their neuromodulatory effects of the central nervous system, which is known to play a fundamental role in pain perception and processing. METHODS In this double-blind study, we used functional near-infrared spectroscopy (fNIRS) to investigate the effects of tDCS combined with MBM on underlying pain processing mechanisms at the central nervous level in older adults with knee OA. Nineteen subjects were randomly assigned to two groups undergoing a 10-day active tDCS and MBM regimen and a sham tDCS and MBM regimen, respectively. RESULTS Our results showed that the neuromodulatory intervention significantly relieved pain only in the group receiving active treatment. We also found that only the active treatment group showed a significant increase in oxyhemoglobin activation of the superior motor and somatosensory cortices colocated to the placement of the tDCS anodal electrode. To our knowledge, this is the first study in which the combined effect of tDCS and MBM is investigated using fNIRS. CONCLUSION In conclusion, fNIRS can be effectively used to investigate neural mechanisms of pain at the cortical level in association with nonpharmacological, self-administered treatments.
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Affiliation(s)
- Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, TX.,Department of Electrical and Computer Engineering, University of Houston, Houston, TX
| | | | - Lindsey Park
- Cizik School of Nursing, University of Texas Health Science Center, Houston, TX
| | - Hongyu Miao
- School of Public Health, University of Texas Health Science Center, Houston, TX
| | - Kenneth Mathis
- Department of Orthopedic Surgery, School of Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Hyochol Ahn
- Cizik School of Nursing, University of Texas Health Science Center, Houston, TX
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Ahn H, Galle K, Mathis KB, Miao H, Montero-Hernandez S, Jackson N, Ju HH, McCrackin H, Goodwin C, Hargraves A, Jain B, Dinh H, Abdul-Mooti S, Park L, Pollonini L. Feasibility and efficacy of remotely supervised cranial electrical stimulation for pain in older adults with knee osteoarthritis: A randomized controlled pilot study. J Clin Neurosci 2020; 77:128-133. [PMID: 32402609 DOI: 10.1016/j.jocn.2020.05.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 05/02/2020] [Indexed: 10/24/2022]
Abstract
Cranial electrical stimulation (CES) is a noninvasive brain stimulation technique that has been shown to improve pain. However, few studies have investigated the potential benefits associated with remotely supervised CES in older adults with knee osteoarthritis (OA). The aim of this study was to examine the feasibility and preliminary efficacy of remotely supervised CES via secure videoconferencing software on clinical pain severity, experimental pain sensitivity, and pain-related cortical response in older adults with knee OA. Thirty participants with symptomatic knee OA pain were randomly assigned to receive 10 daily sessions (60 min each) of remotely supervised CES (n = 15) or sham CES (n = 15) over two weeks. We measured clinical pain severity via a Numeric Rating Scale, experimental pain sensitivity (e.g., heat pain sensitivity, pressure pain sensitivity, and conditioned pain modulation) using quantitative sensory testing, and pain-related cortical response via functional near-infrared spectroscopy imaging. We also measured participant satisfaction with treatment using the Client Satisfaction Questionnaire. Active CES significantly reduced scores on the Numeric Rating Scale and increased heat pain threshold, pressure pain thresholds, and conditioned pain modulation. We also found significant changes in pain-related cortical hemodynamic activity after CES. Participants tolerated CES well without serious adverse effects and were satisfied with the treatment. Our findings demonstrate promising clinical efficacy of remotely supervised CES for older adults with knee OA.
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Affiliation(s)
- Hyochol Ahn
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Kelli Galle
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kenneth B Mathis
- Department of Orthopedic Surgery, School of Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hongyu Miao
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Natalie Jackson
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hsiao-Hui Ju
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Heather McCrackin
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Catherine Goodwin
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Allison Hargraves
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bhawna Jain
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Helen Dinh
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sarah Abdul-Mooti
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lindsey Park
- Department of Research, Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, TX, USA
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