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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] [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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2
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Zhang J, Shi P, Du J, Yu H. A study based on functional near-infrared spectroscopy: Cortical responses to music interventions in patients with myofascial pain syndrome. Front Hum Neurosci 2023; 17:1119098. [PMID: 36778036 PMCID: PMC9911431 DOI: 10.3389/fnhum.2023.1119098] [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: 12/08/2022] [Accepted: 01/12/2023] [Indexed: 01/28/2023] Open
Abstract
Object This study measured cerebral blood oxygen changes in patients with myofascial pain syndrome (MPS) using functional near-infrared spectroscopy (fNIRS). The aim was to investigate the effect of music intervention on pain relief in MPS patients. Materials and methods A total of 15 patients with MPS participated in this study. A self-controlled block task design was used to collect the oxy-hemoglobin ([HbO2]) and deoxy-hemoglobin ([HbR]) concentrations in the prefrontal cortex (PFC) and motor cortex using fNIRS. The cerebral cortex response and channel connectivity were further analyzed. In the experiment, the therapist was asked to apply compression of 3-4 kg/cm2 vertically using the thumb to induce pain. Soothing synthetic music with frequencies of 8-150 Hz and 50-70 dB was used as the audio for the music intervention. Result Compared to the group without music intervention, the activation of brain regions showed a decreasing trend in the group with music intervention under the onset of pain. The results of paired t-tests showed that nine of the data were significantly different (p < 0.05). It was also found that with music intervention, inter-channel connectivity was diminished. Besides, their dorsolateral prefrontal cortex (dlPFC) was significantly correlated with the anterior prefrontal cortex (aPFC) for pain response (r = 0.82), and weakly correlated with the premotor cortex (r = 0.40). Conclusion This study combines objective assessment indicators and subjective scale assessments to demonstrate that appropriate music interventions can be effective in helping to relieve pain to some extent. The analgesic mechanisms between relevant brain regions under music intervention were explored in depth. New insights into effective analgesic methods and quantitative assessment of pain conditions are presented.
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Hu XS, Nascimento TD, DaSilva AF. Shedding light on pain for the clinic: a comprehensive review of using functional near-infrared spectroscopy to monitor its process in the brain. Pain 2021; 162:2805-2820. [PMID: 33990114 PMCID: PMC8490487 DOI: 10.1097/j.pain.0000000000002293] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 03/29/2021] [Indexed: 11/27/2022]
Abstract
ABSTRACT Pain is a complex experience that involves sensation, emotion, and cognition. The subjectivity of the traditional pain measurement tools has expedited the interest in developing neuroimaging techniques to monitor pain objectively. Among noninvasive neuroimaging techniques, functional near-infrared spectroscopy (fNIRS) has balanced spatial and temporal resolution; yet, it is portable, quiet, and cost-effective. These features enable fNIRS to image the cortical mechanisms of pain in a clinical environment. In this article, we evaluated pain neuroimaging studies that used the fNIRS technique in the past decade. Starting from the experimental design, we reviewed the regions of interest, probe localization, data processing, and primary findings of these existing fNIRS studies. We also discussed the fNIRS imaging's potential as a brain surveillance technique for pain, in combination with artificial intelligence and extended reality techniques. We concluded that fNIRS is a brain imaging technique with great potential for objective pain assessment in the clinical environment.
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Affiliation(s)
- Xiao-Su Hu
- University of Michigan, School of Dentistry, Biologic & Materials Sciences Department, Hedache & Orofacial Pain Effort Lab
| | - Thiago D. Nascimento
- University of Michigan, School of Dentistry, Biologic & Materials Sciences Department, Hedache & Orofacial Pain Effort Lab
| | - Alexandre F. DaSilva
- University of Michigan, School of Dentistry, Biologic & Materials Sciences Department, Hedache & Orofacial Pain Effort Lab
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Kassab A, Hinnoutondji Toffa D, Robert M, Lesage F, Peng K, Khoa Nguyen D. Hemodynamic changes associated with common EEG patterns in critically ill patients: Pilot results from continuous EEG-fNIRS study. Neuroimage Clin 2021; 32:102880. [PMID: 34773798 PMCID: PMC8594770 DOI: 10.1016/j.nicl.2021.102880] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 11/21/2022]
Abstract
Functional near-infrared spectroscopy (fNIRS) is currently the only non-invasive method allowing for continuous long-term assessment of cerebral hemodynamic. We evaluate the feasibility of using continueous electroencephalgraphy (cEEG)-fNIRS to study the cortical hemodynamic associated with status epilepticus (SE), burst suppression (BS) and periodic discharges (PDs). Eleven adult comatose patients admitted to the neuroICU for SE were recruited, and cEEG-fNIRS monitoring was performed to measure concentration changes in oxygenated (HbO) and deoxygenated hemoglobin (HbR). Seizures were associated with a large increase HbO and a decrease in HbR whose durations were positively correlated with the seizures' length. Similar observations were made for hemodynamic changes associated with bursts, showing overall increases in HbO and decreases in HbR relative to the suppression periods. PDs were seen to induce widespread HbO increases and HbR decreases. These results suggest that normal neurovascular coupling is partially retained with the hemodynamic response to the detected EEG patterns in these patients. However, the shape and distribution of the response were highly variable. This work highlighted the feasibility of conducting long-term cEEG-fNIRS to monitor hemodynamic changes over a large cortical area in critically ill patients, opening new routes for better understanding and management of abnormal EEG patterns in neuroICU.
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Affiliation(s)
- Ali Kassab
- Department of Neurological Sciences, Université de Montréal, C.P. 6128, succ. Centre-ville, Montreal, Quebec H3C 3J7, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Université de Montréal, 900 Saint Denis St., Montreal, Quebec H2X 0A9, Canada.
| | - Dènahin Hinnoutondji Toffa
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Université de Montréal, 900 Saint Denis St., Montreal, Quebec H2X 0A9, Canada.
| | - Manon Robert
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Université de Montréal, 900 Saint Denis St., Montreal, Quebec H2X 0A9, Canada.
| | - Frédéric Lesage
- Biomedical Engineering Institute, École Polytechnique de Montréal, 2500 Chemin de Polytechnique, Montréal, Quebec H3T 1J4, Canada; Research Center, Montreal Heart Institute, 5000 Rue Bélanger, Montreal, Quebec H1T 1C8, Canada.
| | - Ke Peng
- Department of Neurological Sciences, Université de Montréal, C.P. 6128, succ. Centre-ville, Montreal, Quebec H3C 3J7, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Université de Montréal, 900 Saint Denis St., Montreal, Quebec H2X 0A9, Canada.
| | - Dang Khoa Nguyen
- Department of Neurological Sciences, Université de Montréal, C.P. 6128, succ. Centre-ville, Montreal, Quebec H3C 3J7, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Université de Montréal, 900 Saint Denis St., Montreal, Quebec H2X 0A9, Canada; Division of Neurology, Centre Hospitalier de l'Université de Montréal, Université de Montréal, 1000 Saint Denis St, Montreal, Quebec (H2X OC1), Canada.
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Hall M, Kidgell D, Perraton L, Morrissey J, Jaberzadeh S. Pain Induced Changes in Brain Oxyhemoglobin: A Systematic Review and Meta-Analysis of Functional NIRS Studies. PAIN MEDICINE 2021; 22:1399-1410. [PMID: 33659994 DOI: 10.1093/pm/pnaa453] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Neuroimaging studies show that nociceptive stimuli elicit responses in an extensive cortical network. Functional near-infrared spectroscopy (fNIRS) allows for functional assessment of changes in oxyhemoglobin (HbO), an indirect index for cortical activity. Unlike functional magnetic resonance imaging (fMRI), fNIRS is portable, relatively inexpensive, and allows subjects greater function. No systematic review or meta-analysis has drawn together the data from existing literature of fNIRS studies on the effects of experimental pain on oxyhemoglobin changes in the superficial areas of the brain. OBJECTIVES To investigate the effects of experimental pain on brain fNIRS measures in the prefrontal-cortex and the sensory-motor-area; to determine whether there is a difference in oxyhemodynamics between the prefrontal-cortex and sensory-motor-area during pain processing; to determine if there are differences in HbO between patients with centralized persistent pain and healthy controls. METHODS Studies that used fNIRS to record changes in oxyhemodynamics in prefrontal-cortex or sensory-motor-cortex in noxious and innoxious conditions were included. In total, 13 studies were included in the meta-analysis. RESULTS Pain has a significantly greater effect on pre-frontal-cortex and sensory-motor areas than nonpainful stimulation on oxyhemodynamics. The effect of pain on sensory-motor areas was greater than the effect of pain on the prefrontal-cortex. There was an effect of centralized pain in the CPP group on oxyhemodynamics from a noxious stimulus compared to control's response to pain. CONCLUSIONS Pain affects the prefrontal and sensory-motor cortices of the brain and can be measured using fNIRS. Implications of this study may lead to a simple and readily accessible objective measure of pain.
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Affiliation(s)
- MacGregor Hall
- Department of Physiotherapy, Monash University,Frankston, VIC, Australia
| | - Dawson Kidgell
- Department of Physiotherapy, Monash University,Frankston, VIC, Australia
| | - Luke Perraton
- Department of Physiotherapy, Monash University,Frankston, VIC, Australia
| | | | - Shapour Jaberzadeh
- Department of Physiotherapy, Monash University,Frankston, VIC, Australia
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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: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [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] [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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Pollonini L, Miao H, Ahn H. Longitudinal effect of transcranial direct current stimulation on knee osteoarthritis patients measured by functional infrared spectroscopy: a pilot study. NEUROPHOTONICS 2020; 7:025004. [PMID: 32411812 PMCID: PMC7203445 DOI: 10.1117/1.nph.7.2.025004] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 04/21/2020] [Indexed: 05/15/2023]
Abstract
Significance: Knee osteoarthritis (OA) is a common joint disease causing chronic pain and functional alterations (stiffness and swelling) in the elderly population. OA is currently treated pharmacologically with analgesics, although neuromodulation via transcranial direct current stimulation (tDCS) has recently generated a growing interest as a safe side-effect free treatment alternative or a complement to medications for chronic pain conditions. Although a number of studies have shown that tDCS has a beneficial effect on behavioral measures of pain, the mechanistic action of neuromodulation on pain sensitivity and coping at the central nervous system is not well understood. Aim: We aimed at observing longitudinal changes of cortical hemodynamics in older adults with knee OA associated with a two-week-long tDCS self-treatment protocol. Approach: Hemodynamics was measured bilaterally in the motor and somatosensory cortices with functional near-infrared spectroscopy (fNIRS) in response to thermal pain induced ipsilaterally to the knee primarily affected by OA. Results: We found that both oxyhemoglobin- and deoxyhemoglobin-related functional activations significantly increased during the course of the tDCS treatment, supporting the notion that tDCS yields an increased cortical excitability. Concurrently, clinical measures of pain decreased with tDCS treatment, hinting at a potential spatial dissociation between cortically mediated pain perception and suppression and the prevalence of neuromodulatory effects over cortical pain processing. Conclusions: fNIRS is a valid method for objectively tracking pain in an ambulatory setting and it could potentially be used to inform strategies for optimized tDCS treatment and to develop innovative tDCS protocols.
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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
- Address all correspondence to Luca Pollonini, E-mail:
| | - Hongyu Miao
- University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, United States
| | - Hyochol Ahn
- University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, Texas, United States
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Urquhart EL, Wanniarachchi HI, Wang X, Liu H, Fadel PJ, Alexandrakis G. Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects. NEUROPHOTONICS 2019; 6:045011. [PMID: 31853458 PMCID: PMC6904890 DOI: 10.1117/1.nph.6.4.045011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 11/19/2019] [Indexed: 05/29/2023]
Abstract
The temporal evolution of cortical activation and connectivity patterns during a fatiguing handgrip task were studied by functional near-infrared spectroscopy (fNIRS). Twenty-three young adults (18 to 35 years old) were recruited to use a handheld force sensor to perform intermittent handgrip contractions with their dominant hand at their personal maximum voluntary contraction force level for 3.5 s followed by 6.5 s of rest for 120 blocks. Subjects were divided into self-reported physically active and inactive groups, and their hemodynamic activity over the prefrontal and sensory-motor cortices (111 channels) was mapped while they performed this task. Using this fNIRS setup, a more detailed time sequence of cortical activation and connectivity patterns was observed compared to prior studies. A temporal evolution sequence of hemodynamic activation patterns was noted, which was different between the active and the inactive groups. Physically active subjects demonstrated delayed fatigue onset and significantly longer-lasting and more spatially extended functional connectivity (FC) patterns, compared to inactive subjects. The observed differences in activation and FC suggested differences in cortical network adaptation patterns as fatigue set in, which were dependent on subjects' physical activity. The findings of this study suggest that physical activity increases FC with regions involved in motor task control and correlates to extended fatigue onset and enhanced performance.
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Affiliation(s)
- Elizabeth L. Urquhart
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
| | | | - Xinlong Wang
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
| | - Hanli Liu
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
| | - Paul J. Fadel
- University of Texas at Arlington, Department of Kinesiology, Arlington, Texas, United States
| | - George Alexandrakis
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
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Yang D, Hong KS, Yoo SH, Kim CS. Evaluation of Neural Degeneration Biomarkers in the Prefrontal Cortex for Early Identification of Patients With Mild Cognitive Impairment: An fNIRS Study. Front Hum Neurosci 2019; 13:317. [PMID: 31551741 PMCID: PMC6743351 DOI: 10.3389/fnhum.2019.00317] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/26/2019] [Indexed: 12/13/2022] Open
Abstract
Mild cognitive impairment (MCI), a condition characterizing poor cognition, is associated with aging and depicts early symptoms of severe cognitive impairment, known as Alzheimer's disease (AD). Meanwhile, early detection of MCI can prevent progression to AD. A great deal of research has been performed in the past decade on MCI detection. However, availability of biomarkers for MCI detection requires greater attention. In our study, we evaluated putative and reliable biomarkers for diagnosing MCI by performing different mental tasks (i.e., N-back task, Stroop task, and verbal fluency task) using functional near-infrared spectroscopy (fNIRS) signals on a group of 15 MCI patients and 9 healthy control (HC). The 15 digital biomarkers (i.e., five means, seven slopes, peak, skewness, and kurtosis) and two image biomarkers (t-map, correlation map) in the prefrontal cortex (PFC) (i.e., left PFC, middle PFC, and right PFC) between the MCI and HC groups were investigated by the statistical analysis, linear discriminant analysis (LDA), and convolutional neural network (CNN) individually. The results reveal that the statistical analysis using digital biomarkers (with a p-value < 0.05) could not distinguish the MCI patients from the HC over 60% accuracy. Therefore, the current statistical analysis needs to be improved to be used for diagnosing the MCI patients. The best accuracy with LDA was 76.67% with the N-back and Stroop tasks. However, the CNN classification results trained by image biomarkers showed a high accuracy. In particular, the CNN results trained via t-maps revealed the best accuracy (90.62%) with the N-back task, whereas the CNN result trained by the correlation maps was 85.58% with the N-back task. Also, the results illustrated that investigating the sub-regions (i.e., right, middle, left) of the PFC for detecting MCI would be better than examining the whole PFC. The t-map (or/and the correlation map) is conclusively recommended as an image biomarker for early detection of AD. The combination of CNN and image biomarkers can provide a reliable clinical tool for diagnosing MCI patients.
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Affiliation(s)
- Dalin Yang
- School of Mechanical Engineering, Pusan National University, Busan, South Korea
| | - Keum-Shik Hong
- School of Mechanical Engineering, Pusan National University, Busan, South Korea.,Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea
| | - So-Hyeon Yoo
- School of Mechanical Engineering, Pusan National University, Busan, South Korea
| | - Chang-Soek Kim
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea
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11
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Peng K, Yücel MA, Steele SC, Bittner EA, Aasted CM, Hoeft MA, Lee A, George EE, Boas DA, Becerra L, Borsook D. Morphine Attenuates fNIRS Signal Associated With Painful Stimuli in the Medial Frontopolar Cortex (medial BA 10). Front Hum Neurosci 2018; 12:394. [PMID: 30349466 PMCID: PMC6186992 DOI: 10.3389/fnhum.2018.00394] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 09/12/2018] [Indexed: 11/26/2022] Open
Abstract
Functional near infrared spectroscopy (fNIRS) is a non-invasive optical imaging method that provides continuous measure of cortical brain functions. One application has been its use in the evaluation of pain. Previous studies have delineated a deoxygenation process associated with pain in the medial anterior prefrontal region, more specifically, the medial Brodmann Area 10 (BA 10). Such response to painful stimuli has been consistently observed in awake, sedated and anesthetized patients. In this study, we administered oral morphine (15 mg) or placebo to 14 healthy male volunteers with no history of pain or opioid abuse in a crossover double blind design, and performed fNIRS scans prior to and after the administration to assess the effect of morphine on the medial BA 10 pain signal. Morphine is the gold standard for inhibiting nociceptive processing, most well described for brain effects on sensory and emotional regions including the insula, the somatosensory cortex (the primary somatosensory cortex, S1, and the secondary somatosensory cortex, S2), and the anterior cingulate cortex (ACC). Our results showed an attenuation effect of morphine on the fNIRS-measured pain signal in the medial BA 10, as well as in the contralateral S1 (although observed in a smaller number of subjects). Notably, the extent of signal attenuation corresponded with the temporal profile of the reported plasma concentration for the drug. No clear attenuation by morphine on the medial BA 10 response to innocuous stimuli was observed. These results provide further evidence for the role of medial BA 10 in the processing of pain, and also suggest that fNIRS may be used as an objective measure of drug-brain profiles independent of subjective reports.
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Affiliation(s)
- Ke Peng
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Meryem A. Yücel
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Neurophotonics Center, Boston University, Boston, MA, United States
| | - Sarah C. Steele
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Edward A. Bittner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Christopher M. Aasted
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Mark A. Hoeft
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Arielle Lee
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Edward E. George
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - David A. Boas
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
- Neurophotonics Center, Boston University, Boston, MA, United States
| | - Lino Becerra
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - David Borsook
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
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Peng K, Yücel MA, Aasted CM, Steele SC, Boas DA, Borsook D, Becerra L. Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study. NEUROPHOTONICS 2018; 5:011018. [PMID: 29057285 PMCID: PMC5641587 DOI: 10.1117/1.nph.5.1.011018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 09/26/2017] [Indexed: 05/03/2023]
Abstract
Currently, there is no method for providing a nonverbal objective assessment of pain. Recent work using functional near-infrared spectroscopy (fNIRS) has revealed its potential for objective measures. We conducted two fNIRS scans separated by 30 min and measured the hemodynamic response to the electrical noxious and innocuous stimuli over the anterior prefrontal cortex (aPFC) in 14 subjects. Based on the estimated hemodynamic response functions (HRFs), we first evaluated the test-retest reliability of using fNIRS in measuring the pain response over the aPFC. We then proposed a general linear model (GLM)-based detection model that employs the subject-specific HRFs from the first scan to detect the pain response in the second scan. Our results indicate that fNIRS has a reasonable reliability in detecting the hemodynamic changes associated with noxious events, especially in the medial portion of the aPFC. Compared with a standard HRF with a fixed shape, including the subject-specific HRFs in the GLM allows for a significant improvement in the detection sensitivity of aPFC pain response. This study supports the potential application of individualized analysis in using fNIRS and provides a robust model to perform objective determination of pain perception.
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Affiliation(s)
- Ke Peng
- Harvard Medical School, Center for Pain and the Brain, Boston, Massachusetts, United States
- Boston Children’s Hospital and Harvard Medical School, Department of Anesthesiology, Perioperative and Pain Medicine, Boston, Massachusetts, United States
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Address all correspondence to: Ke Peng, E-mail: Ke.
| | - Meryem A. Yücel
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
| | - Christopher M. Aasted
- Harvard Medical School, Center for Pain and the Brain, Boston, Massachusetts, United States
- Boston Children’s Hospital and Harvard Medical School, Department of Anesthesiology, Perioperative and Pain Medicine, Boston, Massachusetts, United States
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
| | - Sarah C. Steele
- Harvard Medical School, Center for Pain and the Brain, Boston, Massachusetts, United States
- Boston Children’s Hospital and Harvard Medical School, Department of Anesthesiology, Perioperative and Pain Medicine, Boston, Massachusetts, United States
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
| | - David A. Boas
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Boston University, Boston University Neurophotonics Center, Boston, Massachusetts, United States
| | - David Borsook
- Harvard Medical School, Center for Pain and the Brain, Boston, Massachusetts, United States
- Boston Children’s Hospital and Harvard Medical School, Department of Anesthesiology, Perioperative and Pain Medicine, Boston, Massachusetts, United States
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
| | - Lino Becerra
- Harvard Medical School, Center for Pain and the Brain, Boston, Massachusetts, United States
- Boston Children’s Hospital and Harvard Medical School, Department of Anesthesiology, Perioperative and Pain Medicine, Boston, Massachusetts, United States
- Massachusetts General Hospital and Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
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13
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Peng K, Steele SC, Becerra L, Borsook D. Brodmann area 10: Collating, integrating and high level processing of nociception and pain. Prog Neurobiol 2017; 161:1-22. [PMID: 29199137 DOI: 10.1016/j.pneurobio.2017.11.004] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 11/16/2017] [Accepted: 11/28/2017] [Indexed: 02/08/2023]
Abstract
Multiple frontal cortical brain regions have emerged as being important in pain processing, whether it be integrative, sensory, cognitive, or emotional. One such region, Brodmann Area 10 (BA 10), is the largest frontal brain region that has been shown to be involved in a wide variety of functions including risk and decision making, odor evaluation, reward and conflict, pain, and working memory. BA 10, also known as the anterior prefrontal cortex, frontopolar prefrontal cortex or rostral prefrontal cortex, is comprised of at least two cytoarchitectonic sub-regions, medial and lateral. To date, the explicit role of BA 10 in the processing of pain hasn't been fully elucidated. In this paper, we first review the anatomical pathways and functional connectivity of BA 10. Numerous functional imaging studies of experimental or clinical pain have also reported brain activations and/or deactivations in BA 10 in response to painful events. The evidence suggests that BA 10 may play a critical role in the collation, integration and high-level processing of nociception and pain, but also reveals possible functional distinctions between the subregions of BA 10 in this process.
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Affiliation(s)
- Ke Peng
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States; Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States; Department of Psychiatry and Radiology, Massachusetts General Hospital, Charlestown, MA, United States.
| | - Sarah C Steele
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States; Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States; Department of Psychiatry and Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - Lino Becerra
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States; Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States; Department of Psychiatry and Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Department of Psychiatry, Mclean Hospital, Belmont, MA, United States
| | - David Borsook
- Center for Pain and the Brain, Harvard Medical School, Boston, MA, United States; Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, MA, United States; Department of Psychiatry and Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Department of Psychiatry, Mclean Hospital, Belmont, MA, United States
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Mukaihara K, Hasegawa-Moriyama M, Kanmura Y. Contralateral cerebral hemoglobin oxygen saturation changes in patients undergoing thoracotomy with general anesthesia with or without paravertebral block: a randomized controlled trial. J Anesth 2017; 31:829-836. [DOI: 10.1007/s00540-017-2402-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 08/10/2017] [Indexed: 01/06/2023]
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