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Pan LLH, Chen SP, Ling YH, Wang YF, Lai KL, Liu HY, Chen WT, Huang WJ, Coppola G, Treede RD, Wang SJ. Salivary Testosterone Levels and Pain Perception Exhibit Sex-Specific Association in Healthy Adults But Not in Patients With Migraine. THE JOURNAL OF PAIN 2024; 25:104575. [PMID: 38788888 DOI: 10.1016/j.jpain.2024.104575] [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: 12/04/2023] [Revised: 04/30/2024] [Accepted: 05/16/2024] [Indexed: 05/26/2024]
Abstract
This study investigated the sex-specific associations between pain perception and testosterone levels in healthy controls (HCs) and patients with migraine. Male and female HCs and migraine patients were recruited. A series of questionnaires were completed by the participants to evaluate their psychosocial profiles, which included data on mood, stress, and sleep quality. Heat pain thresholds and suprathreshold pain ratings at 45 °C (referred to as the pain perception score [PPS]) were assessed using the Thermode system. Salivary testosterone levels were analyzed using a commercial enzyme-linked immunosorbent assay kit. A total of 88 HCs (men/women: 41/47, age: 29.9 ± 7.7 years) and 75 migraine patients (men/women: 30/45, age: 31.1 ± 7.7 years) completed all assessments. No significant differences were observed in either the psychosocial profiles or heat pain thresholds and PPSs between the sexes in the control and migraine groups. A positive correlation between testosterone levels and PPSs was identified in the male controls (r = .341, P = .029), whereas a negative correlation was identified in the female controls (r = -.407, P = .005). No such correlations were identified in the migraine group. This study confirms that a negative association is present between PPSs and testosterone levels in female controls, which is in line with the findings that testosterone is associated with reduced pain perception. Our study is the first to demonstrate a sex-specific association between PPSs and testosterone levels in HCs. Moreover, this study also revealed that the presence of migraine appears to disrupt this association. PERSPECTIVE: This study revealed that testosterone levels demonstrate opposite associations with pain perception in healthy men and women. However, the presence of migraine appears to disrupt this sex-specific association.
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Affiliation(s)
- Li-Ling Hope Pan
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Shih-Pin Chen
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Hsiang Ling
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yen-Feng Wang
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Kuan-Lin Lai
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Hung-Yu Liu
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Wei-Ta Chen
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Neurology, Keelung Hospital, Ministry of Health and Welfare, Keelung, Taiwan
| | - William J Huang
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Urology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Gianluca Coppola
- Department of Medico‑Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino, Latina, Italy
| | - Rolf-Detlef Treede
- Mannheim Center for Translational Neurosciences, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Shuu-Jiun Wang
- Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
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Zhang S, Zhao M, Sun J, Wen J, Li M, Wang C, Xu Q, Wang J, Sun X, Cheng L, Xue X, Wang X, Jia X. Alterations in degree centrality and functional connectivity in tension-type headache: a resting-state fMRI study. Brain Imaging Behav 2024; 18:819-829. [PMID: 38512647 DOI: 10.1007/s11682-024-00875-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2024] [Indexed: 03/23/2024]
Abstract
Previous studies have provided evidence of structural and functional changes in the brains of patients with tension-type headache (TTH). However, investigations of functional connectivity alterations in TTH have been inconclusive. The present study aimed to investigate abnormal intrinsic functional connectivity patterns in patients with TTH through the voxel-wise degree centrality (DC) method as well as functional connectivity (FC) analysis. A total of 33 patients with TTH and 30 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning and were enrolled in the final study. The voxel-wise DC method was performed to quantify abnormalities in the local functional connectivity hubs. Nodes with abnormal DC were used as seeds for further FC analysis to evaluate alterations in functional connectivity patterns. In addition, correlational analyses were performed between abnormal DC and FC values and clinical features. Compared with HCs, patients with TTH had higher DC values in the left middle temporal gyrus (MTG.L) and lower DC values in the left anterior cingulate and paracingulate gyri (ACG.L) (GRF, voxel-wise p < 0.05, cluster-wise p < 0.05, two-tailed). Seed-based FC analyses revealed that patients with TTH showed greater connections between ACG.L and the right cerebellum lobule IX (CR-IX.R), and smaller connections between ACG.L and ACG.L. The MTG.L showed increased FC with the ACG.L, and decreased FC with the right caudate nucleus (CAU.R) and left precuneus (PCUN.L) (GRF, voxel-wise p < 0.05, cluster-wise p < 0.05, two-tailed). Additionally, the DC value of the MTG.L was negatively correlated with the DASS-depression score (p = 0.046, r=-0.350). This preliminary study provides important insights into the pathophysiological mechanisms of TTH.
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Affiliation(s)
- Shuxian Zhang
- Medical Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China
| | - Mengqi Zhao
- School of Teacher Education, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China
| | - Jiazhang Sun
- Ophthalmologic Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China
| | - Jianjie Wen
- School of Teacher Education, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China
| | - Mengting Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, 321004, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China
| | - Chao Wang
- Basic Support Department, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China
| | - Qinyan Xu
- Medical Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China
| | - Jili Wang
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong Province, 261053, China
| | - Xihe Sun
- Medical Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong Province, 261053, China
| | - Lulu Cheng
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, Shandong Province, 266580, China
| | - Xiaomeng Xue
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, Shandong Province, 266580, China.
| | - Xizhen Wang
- Medical Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China.
| | - Xize Jia
- Medical Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, 261031, China.
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Dorado A, Terrasa JL, van der Meulen M, Montoya P, González-Roldán AM. Altered Endogenous Pain-Inhibitory Function in Older Adults With Chronic Pain Is Associated With Disruptions in Functional Connectivity During Resting State. THE JOURNAL OF PAIN 2024:104641. [PMID: 39029880 DOI: 10.1016/j.jpain.2024.104641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 06/28/2024] [Accepted: 07/15/2024] [Indexed: 07/21/2024]
Abstract
Increasing research points to a decline in the ability to internally regulate pain as a contributing factor to the increased pain susceptibility in aging. This study investigated the connection between pain regulation and resting-state functional connectivity (rsFC) in older adults with chronic pain. We compared functional magnetic resonance imaging rsFC of 30 older adults with chronic pain (69.5 ± 6.58 years, 14 males), 29 pain-free older (70.48 ± 4.60, 15 males), and 30 younger adults (20.0 ± 1.58, 15 males). Pain inhibition and facilitatory capabilities were assessed using conditioned pain modulation (CPM) and temporal summation. Older adults with chronic pain displayed lower pain inhibition during the CPM than pain-free older and younger adults. rsFC analysis showed that older adults with chronic pain, in comparison with younger participants, displayed an abnormal hyperconnectivity between right dorsolateral prefrontal cortex and left amygdala, which was significantly correlated with lower pain inhibition during the CPM. Older adults with chronic pain displayed higher connectivity between the primary somatosensory cortex and nucleus accumbens than pain-free older adults. Finally, both older adult groups displayed reduced connectivity between brain structures involved in pain inhibition and processing in comparison with younger adults. Altogether, our results suggest that suffering from pain during aging leads to a dysfunction of pain-inhibitory processes, which significantly surpass those caused by normal aging. Furthermore, our results point to a key role of emotional and motivational brain areas, and their interaction with executive and somatosensory areas, in the reduced inhibitory capacity and likely the maintenance of chronic pain in aging. PERSPECTIVE: This study examines the link between reduced pain-inhibition capacity and increased resting-state connectivity between affective, sensory, and executive brain structures in older adults with chronic pain. These findings could inform new pain assessment and treatment programs for this population.
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Affiliation(s)
- Alejandro Dorado
- Cognitive and Affective Neuroscience and Clinical Psychology, Research Institute of Health Sciences (IUNICS) and Balearic Islands Health Research Institute (IdISBa), University of the Balearic Islands (UIB), Palma, Spain
| | - Juan Lorenzo Terrasa
- Cognitive and Affective Neuroscience and Clinical Psychology, Research Institute of Health Sciences (IUNICS) and Balearic Islands Health Research Institute (IdISBa), University of the Balearic Islands (UIB), Palma, Spain
| | - Marian van der Meulen
- Department of Behavioural and Cognitive Sciences, Institute of Health and Behaviour, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Pedro Montoya
- Cognitive and Affective Neuroscience and Clinical Psychology, Research Institute of Health Sciences (IUNICS) and Balearic Islands Health Research Institute (IdISBa), University of the Balearic Islands (UIB), Palma, Spain
| | - Ana María González-Roldán
- Cognitive and Affective Neuroscience and Clinical Psychology, Research Institute of Health Sciences (IUNICS) and Balearic Islands Health Research Institute (IdISBa), University of the Balearic Islands (UIB), Palma, Spain.
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Khan MA, Koh RGL, Rashidiani S, Liu T, Tucci V, Kumbhare D, Doyle TE. Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research. Artif Intell Med 2024; 151:102849. [PMID: 38574636 DOI: 10.1016/j.artmed.2024.102849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/06/2024]
Abstract
OBJECTIVE The aim of this review is to identify gaps and provide a direction for future research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management. METHODS A comprehensive literature search was conducted using various databases, including Ovid MEDLINE, Web of Science Core Collection, IEEE Xplore, and ACM Digital Library. The search was limited to studies on AI in CP research, focusing on diagnosis, prognosis, clinical decision support, self-management, and rehabilitation. The studies were evaluated based on predefined inclusion criteria, including the reporting quality of AI algorithms used. RESULTS After the screening process, 60 studies were reviewed, highlighting AI's effectiveness in diagnosing and classifying CP while revealing gaps in the attention given to treatment and rehabilitation. It was found that the most commonly used algorithms in CP research were support vector machines, logistic regression and random forest classifiers. The review also pointed out that attention to CP mechanisms is negligible despite being the most effective way to treat CP. CONCLUSION The review concludes that to achieve more effective outcomes in CP management, future research should prioritize identifying CP mechanisms, CP management, and rehabilitation while leveraging a wider range of algorithms and architectures. SIGNIFICANCE This review highlights the potential of AI in improving the management of CP, which is a significant personal and economic burden affecting more than 30% of the world's population. The identified gaps and future research directions provide valuable insights to researchers and practitioners in the field, with the potential to improve healthcare utilization.
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Affiliation(s)
- Md Asif Khan
- Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Ryan G L Koh
- KITE Research Institute, Toronto Rehabilitation Institute - University Health Network, Toronto, ON M5G 2A2, Canada
| | - Sajjad Rashidiani
- Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Theodore Liu
- Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Victoria Tucci
- Faculty of Health Sciences at McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Dinesh Kumbhare
- KITE Research Institute, Toronto Rehabilitation Institute - University Health Network, Toronto, ON M5G 2A2, Canada
| | - Thomas E Doyle
- Department of Electrical and Computer Engineering at McMaster University, Hamilton, ON L8S 4K1, Canada.
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Chen Y, Yang Y, Gong Z, Kang Y, Zhang Y, Chen H, Zeng K, Men X, Wang J, Huang Y, Wang H, Zhan S, Tan W, Wang W. Altered effective connectivity from cerebellum to motor cortex in chronic low back pain: A multivariate pattern analysis and spectral dynamic causal modeling study. Brain Res Bull 2023; 204:110794. [PMID: 37871687 DOI: 10.1016/j.brainresbull.2023.110794] [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: 04/03/2023] [Revised: 08/01/2023] [Accepted: 10/17/2023] [Indexed: 10/25/2023]
Abstract
To explore the central processing mechanism of pain perception in chronic low back pain (cLBP) using multi-voxel pattern analysis (MVPA) based on the static and dynamic fractional amplitude of low-frequency fluctuations (fALFF) analysis, and spectral dynamic causal modeling (spDCM). Thirty-two patients with cLBP and 29 matched healthy controls (HCs) for the first cohort and 24 patients with cLBP and 22 HCs for the validation cohort underwent resting-state fMRI scan. The alterations in static and dynamic fALFF were as classification features to distinguish patients with cLBP from HCs. The brain regions gotten from the MVPA results were used for further spDCM analysis. We found that the most discriminative brain regions that contributed to the classification were the right supplementary motor area (SMA.R), left paracentral lobule (PCL.L), and bilateral cerebellar Crus II. The spDCM results displayed decreased excitatory influence from the bilateral cerebellar Crus II to PCL.L in patients with cLBP compared with HCs. Moreover, the conversion of effective connectivity from the bilateral cerebellar Crus II to SMA.R from excitatory influence to inhibitive influence, and the effective connectivity strength exhibited partially mediated effects on Chinese Short Form Oswestry Disability Index Questionnaire (C-SFODI) scores. Our findings suggest that the cerebellum and its weakened or inhibited connections to the motor cortex may be one of the underlying feedback pathways for pain perception in cLBP, and partially mediate the degree of dysfunction.
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Affiliation(s)
- Yilei Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuchan Yang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhigang Gong
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yingjie Kang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yingying Zhang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hui Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ke Zeng
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiubo Men
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jianwei Wang
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanwen Huang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hui Wang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Songhua Zhan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenli Tan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
| | - Wei Wang
- Department of Tuina, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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Ghafouri B, Ernberg M, Andréll P, Bäckryd E, Fisher MR, Freund-Levi Y, Grelz H, Gräbel O, Karlsten R, Kosek E, Löfgren M, Ringqvist Å, Rudling K, Stålnacke BM, Sörlén N, Uhlin K, Westergren H, Gerdle B. Swedish Chronic Pain Biobank: protocol for a multicentre registry and biomarker project. BMJ Open 2022; 12:e066834. [PMID: 36450421 PMCID: PMC9717004 DOI: 10.1136/bmjopen-2022-066834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
INTRODUCTION About 20% of the adult population have chronic pain, often associated with psychological distress, sick leave and poor health. There are large variations in the clinical picture. A biopsychosocial approach is used in investigation and treatment. The concept of personalised medicine, that is, optimising medication types and dosages for individual patients based on biomarkers and other patient-related factors, has received increasing attention in different diseases but used less in chronic pain. This cooperative project from all Swedish University Hospitals will investigate whether there are changes in inflammation and metabolism patterns in saliva and blood in chronic pain patients and whether the changes correlate with clinical characteristics and rehabilitation outcomes. METHODS AND ANALYSIS Patients at multidisciplinary pain centres at University Hospitals in Sweden who have chosen to participate in the Swedish Quality Registry for Pain Rehabilitation and healthy sex-matched and age-matched individuals will be included in the study. Saliva and blood samples will be collected in addition to questionnaire data obtained from the register. From the samples, proteins, lipids, metabolites and micro-RNA will be analysed in relation to, for example, diagnosis, pain characteristics, psychological distress, body weight, pharmacological treatment and clinical rehabilitation results using advanced multivariate data analysis and bioinformatics. ETHICS AND DISSEMINATION The study is approved by the Swedish Ethical Review Authority (Dnr 2021-04929) and will be conducted in accordance with the declaration of Helsinki.The results will be published in open access scientific journals and in popular scientific relevant journals such as those from patient organisations. Data will be also presented in scientific meetings, meeting with healthcare organisations and disseminated in different lecturers at the clinics and universities.
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Affiliation(s)
- Bijar Ghafouri
- Pain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linkoping, Sweden
| | - Malin Ernberg
- Department of Dental Medicine, Karolinska Institutet, and the Scandinavian Center for Orofacial Neurosciences (SCON), Karolinska Institute, Stockholm, Sweden
| | - Paulin Andréll
- Region Västra Götaland, Sahlgrenska University Hospital, Östra, department of Anaesthesiology and Intensive Care Medicine, Pain Centre, Sahlgrenska Academy, Gothenburg, Sweden
- Department of Anaesthesiology and Intensive Care Medicine, Institute of Clinical Sciences at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Emmanuel Bäckryd
- Pain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linkoping, Sweden
| | - Marcelo Rivano Fisher
- Department of Neurosurgery and Pain Rehabilitation at Skåne University Hospital and Faculty of Medicine Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Rehabilitation Medicine Research Group, Department of Health Sciences, Lund University, Lund, Sweden
| | - Yvonne Freund-Levi
- School of Medical Sciences, Örebro University and department of Geriatrics, University Hospital Örebro, Örebro, Sweden
- Department of geriatrics, Södertälje Hospital, Södertälje, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Grelz
- Department of Neurosurgery and Pain Rehabilitation at Skåne University Hospital and Faculty of Medicine Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Olaf Gräbel
- Region Västra Götaland, Sahlgrenska University Hospital, Östra, department of Anaesthesiology and Intensive Care Medicine, Pain Centre, Sahlgrenska Academy, Gothenburg, Sweden
| | - Rolf Karlsten
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University Hospital, Uppsala, Sweden
| | - Eva Kosek
- Department Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Monika Löfgren
- Department of Clinical Sciences, Karolinska Institutet, and Department of Rehabilitation Medicine, Danderyd Hospital, Stockholm, Sweden
| | - Åsa Ringqvist
- Department of Neurosurgery and Pain Rehabilitation at Skåne University Hospital and Faculty of Medicine Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Karin Rudling
- Department of rehabilitation medicine, University hospital Örebro, Örebro, Sweden
| | - Britt-Marie Stålnacke
- Department of Clinical Sciences, Karolinska Institutet, and Department of Rehabilitation Medicine, Danderyd Hospital, Stockholm, Sweden
- Department of Community Medicine and Rehabilitation, Rehabilitation Medicine, Umeå University, Umeå, Sweden
| | - Niklas Sörlén
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Karin Uhlin
- Department of Clinical Sciences, Karolinska Institutet, and Department of Rehabilitation Medicine, Danderyd Hospital, Stockholm, Sweden
| | - Hans Westergren
- Department of Neurosurgery and Pain Rehabilitation at Skåne University Hospital and Faculty of Medicine Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Rehabilitation Medicine Research Group, Department of Health Sciences, Lund University, Lund, Sweden
| | - Björn Gerdle
- Pain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linkoping, Sweden
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Smith JL, Allen JW, Fleischer CC, Harper DE. Topology of pain networks in patients with temporomandibular disorder and pain-free controls with and without concurrent experimental pain: A pilot study. FRONTIERS IN PAIN RESEARCH (LAUSANNE, SWITZERLAND) 2022; 3:966398. [PMID: 36324873 PMCID: PMC9619074 DOI: 10.3389/fpain.2022.966398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/26/2022] [Indexed: 11/26/2022]
Abstract
Temporomandibular disorders (TMD) involve chronic pain in the masticatory muscles and jaw joints, but the mechanisms underlying the pain are heterogenous and vary across individuals. In some cases, structural, functional, and metabolic changes in the brain may underlie the condition. In the present study, we evaluated the functional connectivity between 86 regions of interest (ROIs), which were chosen based on previously reported neuroimaging studies of pain and differences in brain morphology identified in an initial surface-based morphometry analysis. Our main objectives were to investigate the topology of the network formed by these ROIs and how it differs between individuals with TMD and chronic pain (n = 16) and pain-free control participants (n = 12). In addition to a true resting state functional connectivity scan, we also measured functional connectivity during a 6-min application of a noxious cuff stimulus applied to the left leg. Our principal finding is individuals with TMD exhibit more suprathreshold correlations (higher nodal degree) among all ROIs but fewer "hub" nodes (i.e., decreased betweenness centrality) across conditions and across all pain pathways. These results suggest is this pain-related network of nodes may be "over-wired" in individuals with TMD and chronic pain compared to controls, both at rest and during experimental pain.
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Affiliation(s)
- Jeremy L. Smith
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Jason W. Allen
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States,Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States
| | - Candace C. Fleischer
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States,Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States
| | - Daniel E. Harper
- Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, United States,Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States,Correspondence: Daniel E. Harper
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8
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Miao J, Ailes I, Krisa L, Fleming K, Middleton D, Talekar K, Natale P, Mohamed FB, Hines K, Matias CM, Alizadeh M. Case report: The promising application of dynamic functional connectivity analysis on an individual with failed back surgery syndrome. Front Neurosci 2022; 16:987223. [PMID: 36213747 PMCID: PMC9537947 DOI: 10.3389/fnins.2022.987223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 09/06/2022] [Indexed: 11/24/2022] Open
Abstract
Failed back surgery syndrome (FBSS), a chronic neuropathic pain condition, is a common indication for spinal cord stimulation (SCS). However, the mechanisms of SCS, especially its effects on supraspinal/brain functional connectivity, are still not fully understood. Resting state functional magnetic resonance imaging (rsfMRI) studies have shown characteristics in patients with chronic low back pain (cLBP). In this case study, we performed rsfMRI scanning (3.0 T) on an FBSS patient, who presented with chronic low back and leg pain following her previous lumbar microdiscectomy and had undergone permanent SCS. Appropriate MRI safety measures were undertaken to scan this subject. Seed-based functional connectivity (FC) was performed on the rsfMRI data acquired from the FBSS subject, and then compared to a group of 17 healthy controls. Seeds were identified by an atlas of resting state networks (RSNs), which is composed of 32 regions grouped into 8 networks. Sliding-window method and k-means clustering were used in dynamic FC analysis, which resulted in 4 brain states for each group. Our results demonstrated the safety and feasibility of 3T MRI scanning in a patient with implanted SCS system. Compared to the brain states of healthy controls, the FBSS subject presented very different FC patterns in less frequent brain states. The mean dwell time of brain states showed distinct distributions: the FBSS subject seemed to prefer a single state over the others. Although future studies with large sample sizes are needed to make statistical conclusions, our findings demonstrated the promising application of dynamic FC to provide more granularity with FC changes associated with different brain states in chronic pain.
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Affiliation(s)
- Jingya Miao
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA, United States
- *Correspondence: Jingya Miao,
| | - Isaiah Ailes
- Sidney Kimmel Medical College, Philadelphia, PA, United States
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - Laura Krisa
- Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, United States
| | - Kristen Fleming
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Devon Middleton
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Kiran Talekar
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Peter Natale
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Feroze B. Mohamed
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Kevin Hines
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - Caio M. Matias
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - Mahdi Alizadeh
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, United States
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
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D’Antoni F, Russo F, Ambrosio L, Bacco L, Vollero L, Vadalà G, Merone M, Papalia R, Denaro V. Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19105971. [PMID: 35627508 PMCID: PMC9141006 DOI: 10.3390/ijerph19105971] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 12/10/2022]
Abstract
Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary, individualized approach consisting of several outcome measures and imaging data along with emerging technologies. The increased amount of data generated in this process has led to the development of methods related to artificial intelligence (AI), and to computer-aided diagnosis (CAD) in particular, which aim to assist and improve the diagnosis and treatment of LBP. In this manuscript, we have systematically reviewed the available literature on the use of CAD in the diagnosis and treatment of chronic LBP. A systematic research of PubMed, Scopus, and Web of Science electronic databases was performed. The search strategy was set as the combinations of the following keywords: “Artificial Intelligence”, “Machine Learning”, “Deep Learning”, “Neural Network”, “Computer Aided Diagnosis”, “Low Back Pain”, “Lumbar”, “Intervertebral Disc Degeneration”, “Spine Surgery”, etc. The search returned a total of 1536 articles. After duplication removal and evaluation of the abstracts, 1386 were excluded, whereas 93 papers were excluded after full-text examination, taking the number of eligible articles to 57. The main applications of CAD in LBP included classification and regression. Classification is used to identify or categorize a disease, whereas regression is used to produce a numerical output as a quantitative evaluation of some measure. The best performing systems were developed to diagnose degenerative changes of the spine from imaging data, with average accuracy rates >80%. However, notable outcomes were also reported for CAD tools executing different tasks including analysis of clinical, biomechanical, electrophysiological, and functional imaging data. Further studies are needed to better define the role of CAD in LBP care.
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Affiliation(s)
- Federico D’Antoni
- Unit of Computer Systems and Bioinformatics, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 21, 00128 Rome, Italy; (F.D.); (L.B.); (L.V.)
| | - Fabrizio Russo
- Department of Orthopaedic Surgery, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 200, 00128 Rome, Italy; (L.A.); (G.V.); (R.P.); (V.D.)
- Correspondence: (F.R.); (M.M.)
| | - Luca Ambrosio
- Department of Orthopaedic Surgery, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 200, 00128 Rome, Italy; (L.A.); (G.V.); (R.P.); (V.D.)
| | - Luca Bacco
- Unit of Computer Systems and Bioinformatics, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 21, 00128 Rome, Italy; (F.D.); (L.B.); (L.V.)
- ItaliaNLP Lab, Istituto di Linguistica Computazionale “Antonio Zampolli”, National Research Council, Via Giuseppe Moruzzi, 1, 56124 Pisa, Italy
- Webmonks S.r.l., Via del Triopio, 5, 00178 Rome, Italy
| | - Luca Vollero
- Unit of Computer Systems and Bioinformatics, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 21, 00128 Rome, Italy; (F.D.); (L.B.); (L.V.)
| | - Gianluca Vadalà
- Department of Orthopaedic Surgery, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 200, 00128 Rome, Italy; (L.A.); (G.V.); (R.P.); (V.D.)
| | - Mario Merone
- Unit of Computer Systems and Bioinformatics, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 21, 00128 Rome, Italy; (F.D.); (L.B.); (L.V.)
- Correspondence: (F.R.); (M.M.)
| | - Rocco Papalia
- Department of Orthopaedic Surgery, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 200, 00128 Rome, Italy; (L.A.); (G.V.); (R.P.); (V.D.)
| | - Vincenzo Denaro
- Department of Orthopaedic Surgery, Università Campus Bio-Medico di Roma, Via Alvaro Del Portillo, 200, 00128 Rome, Italy; (L.A.); (G.V.); (R.P.); (V.D.)
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