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Latypov TH, Wolfensohn A, Yakubov R, Li J, Srisaikaew P, Jörgens D, Jones A, Colak E, Mikulis D, Rudzicz F, Oh J, Hodaie M. Signatures of chronic pain in multiple sclerosis: a machine learning approach to investigate trigeminal neuralgia. Pain 2024:00006396-990000000-00789. [PMID: 39680491 DOI: 10.1097/j.pain.0000000000003497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 11/01/2024] [Indexed: 12/18/2024]
Abstract
ABSTRACT Chronic pain is a pervasive, disabling, and understudied feature of multiple sclerosis (MS), a progressive demyelinating and neurodegenerative disease. Current focus on motor components of MS disability combined with difficulties assessing pain symptoms present a challenge for the evaluation and management of pain in MS, highlighting the need for novel methods of assessment of neural signatures of chronic pain in MS. We investigate chronic pain in MS using MS-related trigeminal neuralgia (MS-TN) as a model condition focusing on gray matter structures as predictors of chronic pain. T1 imaging data from people with MS (n = 75) and MS-TN (n = 77) using machine learning (ML) was analyzed to derive imaging predictors at the level of cortex and subcortical gray matter. The ML classifier compared imaging metrics of patients with MS and MS-TN and distinguished between these conditions with 93.4% individual average testing accuracy. Structures within default-mode, somatomotor, salience, and visual networks (including hippocampus, primary somatosensory cortex, occipital cortex, and thalamic subnuclei) were identified as significant imaging predictors of trigeminal neuralgia pain. Our results emphasize the multifaceted nature of chronic pain and demonstrate the utility of imaging and ML in assessing and understanding MS-TN with greater objectivity.
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Affiliation(s)
- Timur H Latypov
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Collaborative Program in Neuroscience, University of Toronto, Toronto, ON, Canada
| | - Abigail Wolfensohn
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Faculty of Science, McGill University, Montreal, QC, Canada
| | - Rose Yakubov
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
- MD Program, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jerry Li
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Collaborative Program in Neuroscience, University of Toronto, Toronto, ON, Canada
| | - Patcharaporn Srisaikaew
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
| | - Daniel Jörgens
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
| | - Ashley Jones
- Division of Neurology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Errol Colak
- Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - David Mikulis
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
- Joint Department of Medical Imaging, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Frank Rudzicz
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
| | - Jiwon Oh
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Neurology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Mojgan Hodaie
- Division of Brain, Imaging and Behaviour, Krembil Research Institute University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
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Li Y, Jin J, Kang X, Feng Z. Identifying and Evaluating Biological Markers of Postherpetic Neuralgia: A Comprehensive Review. Pain Ther 2024; 13:1095-1117. [PMID: 39126594 PMCID: PMC11393369 DOI: 10.1007/s40122-024-00640-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 07/11/2024] [Indexed: 08/12/2024] Open
Abstract
Postherpetic neuralgia (PHN) manifests as persistent chronic pain that emerges after a herpes zoster outbreak and greatly diminishes quality of life. Unfortunately, its treatment efficacy has remained elusive, with many therapeutic efforts yielding less than satisfactory results. The research to discern risk factors predicting the onset, trajectory, and prognosis of PHN has been extensive. However, these risk factors often present as nonspecific and diverse, indicating the need for more reliable, measurable, and objective detection methods. The exploration of potential biological markers, including hematological indices, pathological insights, and supportive tests, is increasing. This review highlights potential biomarkers that are instrumental for the diagnosis, management, and prognosis of PHN while also delving deeper into its genesis. Drawing from prior research, aspects such as immune responsiveness, neuronal injury, genetic makeup, cellular metabolism, and pain signal modulation have emerged as prospective biomarkers. The immune spectrum spans various cell subtypes, with an emphasis on T cells, interferons, interleukins, and other related cytokines. Studies on nerve injury are directed toward pain-related proteins and the density and health of epidermal nerve fibers. On the genetic and metabolic fronts, the focus lies in the detection of predisposition genes, atypical protein manifestations, and energy-processing dynamics, with a keen interest in vitamin metabolism. Tools such as functional magnetic resonance imaging, electromyography, and infrared imaging have come to the forefront in the pain signaling domain. This review compiles the evidence, potential clinical implications, and challenges associated with these promising biomarkers, paving the way for innovative strategies for predicting, diagnosing, and addressing PHN.
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Affiliation(s)
- Yunze Li
- Department of Pain Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Jiali Jin
- Department of Pain Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Xianhui Kang
- Department of Anesthesiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhiying Feng
- Department of Pain Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China.
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Niemeyer CS, Harlander-Locke M, Bubak AN, Rzasa-Lynn R, Birlea M. Trigeminal Postherpetic Neuralgia: From Pathophysiology to Treatment. Curr Pain Headache Rep 2024; 28:295-306. [PMID: 38261232 PMCID: PMC10940365 DOI: 10.1007/s11916-023-01209-z] [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] [Accepted: 12/29/2023] [Indexed: 01/24/2024]
Abstract
PURPOSE OF REVIEW Trigeminal postherpetic neuralgia (TG-PHN) is a neuropathic pain condition complicating herpes zoster (HZ) attributed to the trigeminal nerve. It poses significant challenges due to its persistent and debilitating nature. This review explores the clinical characteristics of TG-PHN, analyzes its pathophysiological underpinnings, and addresses existent and potential therapies. RECENT FINDINGS TG-PHN is one of the most common and complex PHN locations. It has distinguishing clinical and pathophysiological characteristics, starting with viral triggered injuries to the trigeminal ganglion (TG) and peripheral tissue and involving the ascending and descending brain modulation pathways. Current therapies include vaccines, oral and topical medications, and interventional approaches, like nerve blocks and neurostimulation. This review covers TG-PHN's clinical and physiological components, treatment options, and potential future targets for improved management. By exploring the complexities of this condition, we aim to contribute to developing more effective and targeted therapies for patients suffering from trigeminal PHN.
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Affiliation(s)
- Christy S Niemeyer
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Michael Harlander-Locke
- Department of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Andrew N Bubak
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Rachael Rzasa-Lynn
- Department of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marius Birlea
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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Jiang X, Kuang H, Lv H, Xiong J, Li J, Hong S, Yan YI, Gu L, Jiang J. Aberrant functional and causal connectivity of the amygdala in herpes zoster and post-herpetic neuralgia patients. Br J Radiol 2023; 96:20230338. [PMID: 37750852 PMCID: PMC10646639 DOI: 10.1259/bjr.20230338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 07/08/2023] [Accepted: 08/10/2023] [Indexed: 09/27/2023] Open
Abstract
OBJECTIVE Resting-state functional magnetic resonance imaging (rs-fMRI) and Granger causality analysis (GCA) were used to observe the characteristics of amygdala and whole-brain effect connections in patients with herpes zoster (HZ) and post-herpetic neuralgia (PHN) and to determine their relationship with clinical features. METHODS Rs-fMRI scans were performed on 50 HZ; 50 PHN; and 50 age-, sex- and education-year-matched healthy controls (HCs). Bilateral amygdala subregions were used as seeds for functional connectivity (FC). GCA was used to analyze the effective connection of brain regions that were significantly different among groups. Then, the correlation between FC, and GCA values and clinical indices was investigated. RESULTS PHN had impaired FC between the amygdala subregion with the putamen, cortex, anterior cingulate cortex (ACC) to HCs and reduced FC of medial amygdala (MeA) with the parieto-occipital lobe and motor cortex to HZ; HZ had reduced FC of the lateral amygdala (LA) with the insula to HCs. GCA values from the bilateral LA to the bilateral ACC, left MeA to the bilateral ACC and left putamen, and right ACC to the bilateral MeA were reduced in PHN patients compared to HCs. Compared with HCs, the GCA values from the left MeA to the left ACC and right putamen were reduced in HZ. The GCA values from the amygdala subregion to the ACC were positively correlated with HAMA or HAMD scores in PHN. CONCLUSION PHN showed reduced FC between the amygdala subregions and cortico-putamen and decreased effective connectivity from the amygdala subregion to the ACC and putamen. ADVANCES IN KNOWLEDGE HZ and PHN patients had significant changes in effective connectivity in brain regions, including diverse functional areas emanating from and projecting to the amygdala. The current findings will provide a new perspective for understanding the neuropathophysiological mechanism HZ and PHN.
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Affiliation(s)
| | | | | | | | | | | | - YI Yan
- Department of Pain, The First Affiliated Hospital, Nanchang University, Nanchang, China
| | - Lili Gu
- Department of Pain, The First Affiliated Hospital, Nanchang University, Nanchang, China
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Altered White Matter Microstructure in Herpes Zoster and Postherpetic Neuralgia Determined by Automated Fiber Quantification. Brain Sci 2022; 12:brainsci12121668. [PMID: 36552128 PMCID: PMC9775099 DOI: 10.3390/brainsci12121668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/28/2022] [Accepted: 12/02/2022] [Indexed: 12/07/2022] Open
Abstract
This study aimed to explore changes in the white matter microstructure in herpes zoster (HZ) and postherpetic neuralgia (PHN) patients and to estimate the correlation of these changes with clinical data. Diffusion tensor imaging (DTI) data were collected from 33 HZ patients, 32 PHN patients, and 35 well-matched healthy controls (HCs). Subsequently, these data were analyzed by automated fiber quantification (AFQ) to accurately locate alterations in the white matter microstructure. Compared with HCs, HZ and PHN patients both showed a wide range of changes in the diffusion properties of fiber tracts. HZ patients exhibited changes primarily in the left superior longitudinal fasciculus (SLF), whereas PHN patients predominantly exhibited changes in the left inferior fronto-occipital fasciculus. The bilateral SLF and the left corticospinal tract were altered in the PHN patients compared with HZ patients. In addition, PHN patients showed a trend toward more expansive white matter alterations compared with those observed in HZ patients; additionally, in PHN patients, changes in the left cingulum cingulate were significantly correlated with changes in emotion and the duration of disease. These findings may help to elucidate the transformation from HZ to PHN and provide new ideas regarding the reasons for intractable neuropathic pain in PHN.
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Jiang J, Huang Q, Hong S, Luo Q, Liu X, Hou X, Gu L. Diffusion tensor imaging study of the microstructural changes in the white matter of patients with herpes zoster and postherpetic neuralgia. Am J Transl Res 2022; 14:4350-4362. [PMID: 35836858 PMCID: PMC9274581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To determine the association between white matter structural changes and PHN by analyzing the diffusion tensor imaging data of patients with herpes zoster (HZ) or postherpetic neuralgia (PHN), and the volunteered healthy controls (HC). METHODS A total of 48 participants with HZ, 40 participants with PHN, and 28 age and sex matched HC were enrolled in this study. The diffusion tensor imaging data were collected by a Siemens 3.0T magnetic resonance scanner, and FSL (FMRIB's software) was used to analyze the differences in diffusion indexes among the HZ, PHN and HC groups. In addition, the correlation between the image and the clinical parameters was analyzed. RESULTS The results indicated that the microstructural integrity of the white matter, which affects the information exchange and integration between pain and non-pain related brain regions, showed difference in patients with HZ and PHN. CONCLUSION The study may provide an experimental basis for more thorough longitudinal research in the future to explore the changes of brain structure in patients with PHN from HZ and develop adequate treatment strategy.
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Affiliation(s)
- Jian Jiang
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Qing Huang
- Department of Radiology, Jiangxi Provincial Children’s HospitalNanchang 330000, People’s Republic of China
| | - Shuda Hong
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Qing Luo
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Xian Liu
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Xiaoyan Hou
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Lili Gu
- Department of Pain, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
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