1
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Li CN, Keay KA, Henderson LA, Mychasiuk R. Re-examining the Mysterious Role of the Cerebellum in Pain. J Neurosci 2024; 44:e1538232024. [PMID: 38658164 PMCID: PMC11044115 DOI: 10.1523/jneurosci.1538-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 04/26/2024] Open
Abstract
Pain is considered a multidimensional experience that embodies not merely sensation, but also emotion and perception. As is appropriate for this complexity, pain is represented and processed by an extensive matrix of cortical and subcortical structures. Of these structures, the cerebellum is gaining increasing attention. Although association between the cerebellum and both acute and chronic pain have been extensively detailed in electrophysiological and neuroimaging studies, a deep understanding of what functions are mediated by these associations is lacking. Nevertheless, the available evidence implies that lobules IV-VI and Crus I are especially pertinent to pain processing, and anatomical studies reveal that these regions connect with higher-order structures of sensorimotor, emotional, and cognitive function. Therefore, we speculate that the cerebellum exerts a modulatory role in pain via its communication with sites of sensorimotor, executive, reward, and limbic function. On this basis, in this review, we propose numerous ways in which the cerebellum might contribute to both acute and chronic pain, drawing particular attention to emotional and cognitive elements of pain. In addition, we emphasise the importance of advancing our knowledge about the relationship between the cerebellum and pain by discussing novel therapeutic opportunities that capitalize on this association.
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Affiliation(s)
- Crystal N Li
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Kevin A Keay
- School of Medical Sciences (Neuroscience) and Brain and Mind Centre, University of Sydney, NSW 2006, Australia
| | - Luke A Henderson
- School of Medical Sciences (Neuroscience) and Brain and Mind Centre, University of Sydney, NSW 2006, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
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2
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Fauchon C, Bastuji H, Peyron R, Garcia-Larrea L. Fractal Similarity of Pain Brain Networks. ADVANCES IN NEUROBIOLOGY 2024; 36:639-657. [PMID: 38468056 DOI: 10.1007/978-3-031-47606-8_32] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
The conscious perception of pain is the result of dynamic interactions of neural activities from local brain regions to distributed brain networks. Mapping out the networks of functional connections between brain regions that form and disperse when an experimental participant received nociceptive stimulations allow to characterize the pattern of network connections related to the pain experience.Although the pattern of intra- and inter-areal connections across the brain are incredibly complex, they appear also largely scale free, with "fractal" connectivity properties reproducing at short and long-time scales. Our results combining intracranial recordings and functional imaging in humans during pain indicate striking similarities in the activity and topological representation of networks at different orders of temporality, with reproduction of patterns of activation from the millisecond to the multisecond range. The connectivity analyzed using graph theory on fMRI data was organized in four sets of brain regions matching those identified through iEEG (i.e., sensorimotor, default mode, central executive, and amygdalo-hippocampal).Here, we discuss similarities in brain network organization at different scales or "orders," in participants as they feel pain. Description of this fractal-like organization may provide clues about how our brain regions work together to create the perception of pain and how pain becomes chronic when its organization is altered.
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Affiliation(s)
- Camille Fauchon
- Université Clermont Auvergne, CHU de Clermont-Ferrand, Inserm, Neuro-Dol, Clermont-Ferrand, France.
- Université Jean Monnet, Inserm, CRNL, NeuroPain, Saint-Etienne, France.
| | - Hélène Bastuji
- Université Claude Bernard Lyon 1, UJM, Inserm, CRNL, NeuroPain, Bron, France
| | - Roland Peyron
- Université Jean Monnet, Inserm, CRNL, NeuroPain, Saint-Etienne, France
- CHU, centre de la douleur, Saint-Etienne, France
| | - Luis Garcia-Larrea
- Université Claude Bernard Lyon 1, UJM, Inserm, CRNL, NeuroPain, Bron, France
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3
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Mathew J, Perez TM, Adhia DB, De Ridder D, Mani R. Is There a Difference in EEG Characteristics in Acute, Chronic, and Experimentally Induced Musculoskeletal Pain States? a Systematic Review. Clin EEG Neurosci 2024; 55:101-120. [PMID: 36377346 DOI: 10.1177/15500594221138292] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Electroencephalographic (EEG) alterations have been demonstrated in acute, chronic, and experimentally induced musculoskeletal (MSK) pain conditions. However, there is no cumulative evidence on the associated EEG characteristics differentiating acute, chronic, and experimentally induced musculoskeletal pain states, especially compared to healthy controls. The present systematic review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines (PRISMA) to review and summarize available evidence for cortical brain activity and connectivity alterations in acute, chronic, and experimentally induced MSK pain states. Five electronic databases were systematically searched from their inception to 2022. A total of 3471 articles were screened, and 26 full articles (five studies on chronic pain and 21 studies on experimentally induced pain) were included for the final synthesis. Using the Downs and Black risk of assessment tool, 92% of the studies were assessed as low to moderate quality. The review identified a 'very low' level of evidence for the changes in EEG and subjective outcome measures for both chronic and experimentally induced MSK pain based on the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria. Overall, the findings of this review indicate a trend toward decreased alpha and beta EEG power in evoked chronic clinical pain conditions and increased theta and alpha power in resting-state EEG recorded from chronic MSK pain conditions. EEG characteristics are unclear under experimentally induced pain conditions.
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Affiliation(s)
- Jerin Mathew
- Centre for Health, Activity, and Rehabilitation Research (CHARR), School of Physiotherapy, University of Otago, Dunedin, New Zealand
| | - Tyson Michael Perez
- Department of Surgical Sciences, Section of Neurosurgery, Otago Medical School-Dunedin campus, University of Otago, Dunedin, New Zealand
| | - Divya Bharatkumar Adhia
- Department of Surgical Sciences, Section of Neurosurgery, Otago Medical School-Dunedin campus, University of Otago, Dunedin, New Zealand
| | - Dirk De Ridder
- Department of Surgical Sciences, Section of Neurosurgery, Otago Medical School-Dunedin campus, University of Otago, Dunedin, New Zealand
| | - Ramakrishnan Mani
- Centre for Health, Activity, and Rehabilitation Research (CHARR), School of Physiotherapy, University of Otago, Dunedin, New Zealand
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4
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Murillo C, Coppieters I, Cagnie B, Bernaers L, Bontinck J, Meeus M, Timmers I. Neural processing of pain-related distress to neck-specific movements in people with chronic whiplash-associated disorders. Pain 2023; 164:1954-1964. [PMID: 36943244 DOI: 10.1097/j.pain.0000000000002890] [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: 08/29/2022] [Accepted: 01/23/2023] [Indexed: 03/23/2023]
Abstract
ABSTRACT Pain-related distress contributes to long-term disability in chronic whiplash-associated disorders. Recently, neuroimaging studies have revealed altered neural responses to viewing pictures of movements associated with back pain in key regions for threat and affective processing. In this study, we examined neural correlates of imagining neck-specific movements designed to elicit pain-related distress in individuals with whiplash-associated disorders (n = 63) when compared with that in sex-matched pain-free controls (n = 32). In the scanner, participants were presented with neck-specific movement-related pictures divided into 3 categories (high fear, moderate-fear, and neutral control pictures) and asked to imagine how they would feel if they were performing the movement. Whole-brain analyses revealed greater differential activation (high-fear vs neutral) in individuals with whiplash-associated disorders when compared with that in pain-free controls in 6 clusters including right and left postcentral gyri, left parietal operculum, dorsal precuneus, left superior frontal gyrus/anterior cingulate cortex, and posterior cingulate cortex/ventral precuneus. For the contrast moderate-fear vs neutral, patients showed greater differential activation than controls in the right and left posterolateral cerebellum. Activation patterns in the precuneus and posterior cingulate cortex were negatively associated with pain-related fear, but no other correlations were observed. Together, the findings suggest that when conceptualizing neck-specific movements associated with pain, people with chronic whiplash-associated disorders may predict-and potentially amplify-their sensory and affective consequences and therewith trigger dysfunctional affective and/or behavioral responses. Herewith, we provide new insights into the neural mechanisms underlying chronic pain in people with whiplash-associated disorders, pointing towards a complex interplay between cognitive/affective and sensorimotor circuitry.
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Affiliation(s)
- Carlos Murillo
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
- Pain in Motion International Research Group, Antwerp, Belgium
| | - Iris Coppieters
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
- Pain in Motion International Research Group, Antwerp, Belgium
- Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research in GastroIntestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, Faculty of Medicine, KU Leuven, Belgium
- Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Barbara Cagnie
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
| | - Lisa Bernaers
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
| | - Jente Bontinck
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
- Pain in Motion International Research Group, Antwerp, Belgium
| | - Mira Meeus
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
- Pain in Motion International Research Group, Antwerp, Belgium
- MOVANT Research Group, Department of Rehabilitation Sciences and Physiotherapy, Faculty of Health Sciences and Medicine, University of Antwerp, Antwerp, Belgium
| | - Inge Timmers
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Ghent, Belgium
- Department of Rehabilitation Medicine, Maastricht University, Maastricht, the Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Maastricht, the Netherlands
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5
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Motzkin JC, Kanungo I, D’Esposito M, Shirvalkar P. Network targets for therapeutic brain stimulation: towards personalized therapy for pain. FRONTIERS IN PAIN RESEARCH 2023; 4:1156108. [PMID: 37363755 PMCID: PMC10286871 DOI: 10.3389/fpain.2023.1156108] [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: 02/01/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023] Open
Abstract
Precision neuromodulation of central brain circuits is a promising emerging therapeutic modality for a variety of neuropsychiatric disorders. Reliably identifying in whom, where, and in what context to provide brain stimulation for optimal pain relief are fundamental challenges limiting the widespread implementation of central neuromodulation treatments for chronic pain. Current approaches to brain stimulation target empirically derived regions of interest to the disorder or targets with strong connections to these regions. However, complex, multidimensional experiences like chronic pain are more closely linked to patterns of coordinated activity across distributed large-scale functional networks. Recent advances in precision network neuroscience indicate that these networks are highly variable in their neuroanatomical organization across individuals. Here we review accumulating evidence that variable central representations of pain will likely pose a major barrier to implementation of population-derived analgesic brain stimulation targets. We propose network-level estimates as a more valid, robust, and reliable way to stratify personalized candidate regions. Finally, we review key background, methods, and implications for developing network topology-informed brain stimulation targets for chronic pain.
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Affiliation(s)
- Julian C. Motzkin
- Departments of Neurology and Anesthesia and Perioperative Care (Pain Management), University of California, San Francisco, San Francisco, CA, United States
| | - Ishan Kanungo
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Mark D’Esposito
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Prasad Shirvalkar
- Departments of Neurology and Anesthesia and Perioperative Care (Pain Management), University of California, San Francisco, San Francisco, CA, United States
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
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6
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Du J, Shi P, Fang F, Yu H. Cerebral cortical hemodynamic metrics to aid in assessing pain levels? A pilot study of functional near-infrared spectroscopy. Front Neurosci 2023; 17:1136820. [PMID: 37008231 PMCID: PMC10050350 DOI: 10.3389/fnins.2023.1136820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 03/01/2023] [Indexed: 03/17/2023] Open
Abstract
IntroductionEstablishing an accurate way to quantify pain is one of the most formidable tasks in neuroscience and medical practice. Functional near-infrared spectroscopy (fNIRS) can be utilized to detect the brain’s reaction to pain. The study sought to assess the neural mechanisms of the wrist-ankle acupuncture transcutaneous electrical nerve stimulation analgesic bracelet (E-WAA) in providing pain relief and altering cerebral blood volume dynamics, and to ascertain the reliability of cortical activation patterns as a means of objectively measuring pain.MethodsThe participants (mean age 36.6 ± 7.2 years) with the cervical-shoulder syndrome (CSS) underwent pain testing prior to, 1 min following, and 30 min after the left point Jianyu treatment. The E-WAA was used to administer an electrical stimulation therapy that lasted for 5 min. A 24-channel fNIRS system was utilized to monitor brain oxyhemoglobin (HbO) levels, and changes in HbO concentrations, cortical activation areas, and subjective pain assessment scales were documented.ResultsWe discovered that HbO concentrations in the prefrontal cortex significantly increased when CSS patients were exposed to painful stimuli at the cerebral cortex level. The second pain test saw a considerable decrease in the average HbO change amount in the prefrontal cortex when E-WAA was applied, which in turn led to a reduction in the amount of activation and the size of the activated area in the cortex.DiscussionThis study revealed that the frontal polar (FP) and dorsolateral prefrontal cortex (DLPFC) were linked to the analgesic modulation activated by the E-WAA.
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Affiliation(s)
- Jiahao Du
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
| | - Ping Shi
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
- *Correspondence: Ping Shi,
| | - Fanfu Fang
- Department of Rehabilitation Medicine, Changhai Hospital, Naval Medical University, Shanghai, China
- Fanfu Fang,
| | - Hongliu Yu
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
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7
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Henn AT, Larsen B, Frahm L, Xu A, Adebimpe A, Scott JC, Linguiti S, Sharma V, Basbaum AI, Corder G, Dworkin RH, Edwards RR, Woolf CJ, Habel U, Eickhoff SB, Eickhoff CR, Wagels L, Satterthwaite TD. Structural imaging studies of patients with chronic pain: an anatomical likelihood estimate meta-analysis. Pain 2023; 164:e10-e24. [PMID: 35560117 PMCID: PMC9653511 DOI: 10.1097/j.pain.0000000000002681] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 05/09/2022] [Indexed: 01/09/2023]
Abstract
ABSTRACT Neuroimaging is a powerful tool to investigate potential associations between chronic pain and brain structure. However, the proliferation of studies across diverse chronic pain syndromes and heterogeneous results challenges data integration and interpretation. We conducted a preregistered anatomical likelihood estimate meta-analysis on structural magnetic imaging studies comparing patients with chronic pain and healthy controls. Specifically, we investigated a broad range of measures of brain structure as well as specific alterations in gray matter and cortical thickness. A total of 7849 abstracts of experiments published between January 1, 1990, and April 26, 2021, were identified from 8 databases and evaluated by 2 independent reviewers. Overall, 103 experiments with a total of 5075 participants met the preregistered inclusion criteria. After correction for multiple comparisons using the gold-standard family-wise error correction ( P < 0.05), no significant differences associated with chronic pain were found. However, exploratory analyses using threshold-free cluster enhancement revealed several spatially distributed clusters showing structural alterations in chronic pain. Most of the clusters coincided with regions implicated in nociceptive processing including the amygdala, thalamus, hippocampus, insula, anterior cingulate cortex, and inferior frontal gyrus. Taken together, these results suggest that chronic pain is associated with subtle, spatially distributed alterations of brain structure.
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Affiliation(s)
- Alina T. Henn
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, Aachen, Germany
| | - Bart Larsen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania
| | - Lennart Frahm
- Institute of Neuroscience and Medicine (INM7), Forschungszentrum Jülich, Jülich, Germany
| | - Anna Xu
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania
- Department of Psychology, Stanford University, Stanford, Carlifornia, US
| | - Azeez Adebimpe
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania
| | - J. Cobb Scott
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- VISN4 Mental Illness Research, Education, and Clinical Center at the Corporal Michael J. Crescenz VA (Veterans Affairs) Medical Center, Philadelphia, Pennsylvania, US
| | - Sophia Linguiti
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania
| | - Vaishnavi Sharma
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania
| | - Allan I. Basbaum
- Department of Anatomy, University of California, San Francisco, US
| | - Gregory Corder
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
| | - Robert H. Dworkin
- Department of Anesthesiology and Perioperative Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, US
| | - Robert R. Edwards
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, US
| | - Clifford J. Woolf
- FM Kirby Neurobiology Center, Boston Children’s Hospital, Boston, Massachusetts, US
- Department of Neurobiology, Harvard Medical School, Boston, Massachusetts, US
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, Aachen, Germany
- JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine (INM7), Forschungszentrum Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Claudia R. Eickhoff
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM1), Forschungszentrum Jülich, Jülich, Germany
| | - Lisa Wagels
- Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, Aachen, Germany
- JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Theodore D. Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, US
- Lifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania
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8
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Brandl F, Weise B, Mulej Bratec S, Jassim N, Hoffmann Ayala D, Bertram T, Ploner M, Sorg C. Common and specific large-scale brain changes in major depressive disorder, anxiety disorders, and chronic pain: a transdiagnostic multimodal meta-analysis of structural and functional MRI studies. Neuropsychopharmacology 2022; 47:1071-1080. [PMID: 35058584 PMCID: PMC8938548 DOI: 10.1038/s41386-022-01271-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/28/2021] [Accepted: 01/05/2022] [Indexed: 12/21/2022]
Abstract
Major depressive disorder (MDD), anxiety disorders (ANX), and chronic pain (CP) are closely-related disorders with both high degrees of comorbidity among them and shared risk factors. Considering this multi-level overlap, but also the distinct phenotypes of the disorders, we hypothesized both common and disorder-specific changes of large-scale brain systems, which mediate neural mechanisms and impaired behavioral traits, in MDD, ANX, and CP. To identify such common and disorder-specific brain changes, we conducted a transdiagnostic, multimodal meta-analysis of structural and functional MRI-studies investigating changes of gray matter volume (GMV) and intrinsic functional connectivity (iFC) of large-scale intrinsic brain networks across MDD, ANX, and CP. The study was preregistered at PROSPERO (CRD42019119709). 320 studies comprising 10,931 patients and 11,135 healthy controls were included. Across disorders, common changes focused on GMV-decrease in insular and medial-prefrontal cortices, located mainly within the so-called default-mode and salience networks. Disorder-specific changes comprised hyperconnectivity between default-mode and frontoparietal networks and hypoconnectivity between limbic and salience networks in MDD; limbic network hyperconnectivity and GMV-decrease in insular and medial-temporal cortices in ANX; and hypoconnectivity between salience and default-mode networks and GMV-increase in medial temporal lobes in CP. Common changes suggested a neural correlate for comorbidity and possibly shared neuro-behavioral chronification mechanisms. Disorder-specific changes might underlie distinct phenotypes and possibly additional disorder-specific mechanisms.
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Affiliation(s)
- Felix Brandl
- Technical University of Munich, School of Medicine, Department of Psychiatry, 81675, Munich, Germany. .,Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675, Munich, Germany. .,Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675, Munich, Germany.
| | - Benedikt Weise
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany
| | - Satja Mulej Bratec
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany ,grid.8647.d0000 0004 0637 0731University of Maribor, Faculty of Arts, Department of Psychology, Koroska cesta 160, 2000 Maribor, Slovenia
| | - Nazia Jassim
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany
| | - Daniel Hoffmann Ayala
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany
| | - Teresa Bertram
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Psychiatry, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany
| | - Markus Ploner
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neurology, 81675 Munich, Germany
| | - Christian Sorg
- grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Psychiatry, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, Department of Neuroradiology, 81675 Munich, Germany ,grid.6936.a0000000123222966Technical University of Munich, School of Medicine, TUM-NIC Neuroimaging Center, 81675 Munich, Germany
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9
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Pondelis NJ, Moulton EA. Supraspinal Mechanisms Underlying Ocular Pain. Front Med (Lausanne) 2022; 8:768649. [PMID: 35211480 PMCID: PMC8862711 DOI: 10.3389/fmed.2021.768649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 12/27/2021] [Indexed: 12/04/2022] Open
Abstract
Supraspinal mechanisms of pain are increasingly understood to underlie neuropathic ocular conditions previously thought to be exclusively peripheral in nature. Isolating individual causes of centralized chronic conditions and differentiating them is critical to understanding the mechanisms underlying neuropathic eye pain and ultimately its treatment. Though few functional imaging studies have focused on the eye as an end-organ for the transduction of noxious stimuli, the brain networks related to pain processing have been extensively studied with functional neuroimaging over the past 20 years. This article will review the supraspinal mechanisms that underlie pain as they relate to the eye.
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Affiliation(s)
- Nicholas J Pondelis
- Brain and Eye Pain Imaging Lab, Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Eric A Moulton
- Brain and Eye Pain Imaging Lab, Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.,Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
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10
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Ferraro S, Klugah-Brown B, Tench CR, Yao S, Nigri A, Demichelis G, Pinardi C, Bruzzone MG, Becker B. Dysregulated anterior insula reactivity as robust functional biomarker for chronic pain-Meta-analytic evidence from neuroimaging studies. Hum Brain Mapp 2021; 43:998-1010. [PMID: 34734458 PMCID: PMC8764475 DOI: 10.1002/hbm.25702] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/10/2021] [Accepted: 10/19/2021] [Indexed: 12/27/2022] Open
Abstract
Neurobiological pain models propose that chronic pain is accompanied by neurofunctional changes that mediate pain processing dysfunctions. In contrast, meta‐analyses of neuroimaging studies in chronic pain conditions have not revealed convergent evidence for robust alterations during experimental pain induction. Against this background, the present neuroimaging meta‐analysis combined three different meta‐analytic approaches with stringent study selection criteria for case–control functional magnetic resonance imaging experiments during acute pain processing with a focus on chronic pain disorders. Convergent neurofunctional dysregulations in chronic pain patients were observed in the left anterior insula cortex. Seed‐based resting‐state functional connectivity based on a large publicly available dataset combined with a meta‐analytic task‐based approach identified the anterior insular region as a key node of an extended bilateral insula‐fronto‐cingular network, resembling the salience network. Moreover, the meta‐analytic decoding showed that this region presents a high probability to be specifically activated during pain‐related processes, although we cannot exclude an involvement in autonomic processes. Together, the present findings indicate that dysregulated left anterior insular activity represents a robust neurofunctional maladaptation and potential treatment target in chronic pain disorders.
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Affiliation(s)
- Stefania Ferraro
- The Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.,Neuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy
| | - Benjamin Klugah-Brown
- The Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Christopher R Tench
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK
| | - Shuxia Yao
- The Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
| | - Anna Nigri
- Neuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy
| | - Greta Demichelis
- Neuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy
| | - Chiara Pinardi
- Neuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy
| | - Maria Grazia Bruzzone
- Neuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy
| | - Benjamin Becker
- The Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China
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