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Murillo C, López-Sola M, Cagnie B, Suñol M, Smeets RJEM, Coppieters I, Cnockaert E, Meeus M, Timmers I. Gray Matter Adaptations to Chronic Pain in People with Whiplash-Associated Disorders are Partially Reversed After Treatment: A Voxel-based Morphometry Study. THE JOURNAL OF PAIN 2024; 25:104471. [PMID: 38232862 DOI: 10.1016/j.jpain.2024.01.336] [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: 06/23/2023] [Revised: 12/04/2023] [Accepted: 01/08/2024] [Indexed: 01/19/2024]
Abstract
Gray matter (GM) changes are often observed in people with chronic spinal pain, including those with chronic whiplash-associated disorders (CWAD). These GM adaptations may be reversed with treatment, at least partially. Pain neuroscience education combined with exercise (PNE+Exercise) is an effective treatment, but its neural underlying mechanisms still remain unexplored in CWAD. Here, we performed both cross-sectional and longitudinal voxel-based morphometry to 1) identify potential GM alterations in people with CWAD (n = 63) compared to age- and sex-matched pain-free controls (n = 32), and 2) determine whether these GM alterations might be reversed following PNE+Exercise (compared to conventional physiotherapy). The cross-sectional whole-brain analysis revealed that individuals with CWAD had less GM volume in the right and left dorsolateral prefrontal cortex and left inferior temporal gyrus which was, in turn, associated with higher pain vigilance. Fifty individuals with CWAD and 29 pain-free controls were retained in the longitudinal analysis. GM in the right dorsolateral prefrontal cortex increased after treatment in people with CWAD. Moreover, the longitudinal whole-brain analysis revealed that individuals with CWAD had decreases in GM volumes of the left and right central operculum and supramarginal after treatment. These changes were not specific to treatment modality and some were not observed in pain-free controls over time. Herewith, we provide the first evidence on how GM adaptations to CWAD respond to treatment. PERSPECTIVE: This article presents which gray matter adaptations are present in people with chronic pain after whiplash injuries. Then, we examine the treatment effect on these alterations as well as whether other neuroplastic effects on GM following treatment occur.
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Affiliation(s)
- Carlos Murillo
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Belgium
| | - Marina López-Sola
- Department of Medicine, School of Medicine and Health Sciences, University of Barcelona, Spain
| | - Barbara Cagnie
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Belgium
| | - María Suñol
- Department of Medicine, School of Medicine and Health Sciences, University of Barcelona, Spain
| | - Rob J E M Smeets
- Department of Rehabilitation Medicine, Faculty of Health, Medicine and Life Science, Maastricht University, the Netherlands
| | - Iris Coppieters
- Laboratory for Brain-Gut Axis Studies (LaBGAS), 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, Belgium
| | - Elise Cnockaert
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Belgium
| | - Mira Meeus
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Belgium; MOVANT research group, Department of Rehabilitation Sciences and Physiotherapy, Faculty of Health Sciences and Medicine, University of Antwerp, Belgium
| | - Inge Timmers
- Department of Rehabilitation Sciences, Faculty of Health Sciences and Medicine, Ghent University, Belgium; Department of Rehabilitation Medicine, Faculty of Health, Medicine and Life Science, Maastricht University, the Netherlands; Department of Medical and Clinical Psychology, Tilburg University, the Netherlands
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2
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Scheliga S, Dohrn MF, Habel U, Lampert A, Rolke R, Lischka A, van den Braak N, Spehr M, Jo HG, Kellermann T. Reduced Gray Matter Volume and Cortical Thickness in Patients With Small-Fiber Neuropathy. THE JOURNAL OF PAIN 2024; 25:104457. [PMID: 38211845 DOI: 10.1016/j.jpain.2024.01.001] [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: 06/01/2023] [Revised: 12/08/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024]
Abstract
Small-fiber neuropathy (SFN) is defined by degeneration or dysfunction of peripheral sensory nerve endings. Central correlates have been identified on the level of gray matter volume (GMV) and cortical thickness (CT) changes. However, across SFN etiologies knowledge about a common structural brain signature is still lacking. Therefore, we recruited 26 SFN patients and 25 age- and sex-matched healthy controls to conduct voxel-based- and surface-based morphometry. Across all patients, we found reduced GMV in widespread frontal regions, left caudate, insula and superior parietal lobule. Surface-based morphometry analysis revealed reduced CT in the right precentral gyrus of SFN patients. In a region-based approach, patients had reduced GMV in the left caudate. Since pathogenic gain-of-function variants in voltage-gated sodium channels (Nav) have been associated with SFN pathophysiology, we explored brain morphological patterns in a homogenous subsample of patients carrying rare heterozygous missense variants. Whole brain- and region-based approaches revealed GMV reductions in the bilateral caudate for Nav variant carriers. Further research is needed to analyze the specific role of Nav variants for structural brain alterations. Together, we conclude that SFN patients have specific GMV and CT alterations, potentially forming potential new central biomarkers for this condition. Our results might help to better understand underlying or compensatory mechanisms of chronic pain perception in the future. PERSPECTIVE: This study reveals structural brain changes in small-fiber neuropathy (SFN) patients, particularly in frontal regions, caudate, insula, and parietal lobule. Notably, individuals with SFN and specific Nav variants exhibit bilateral caudate abnormalities. These findings may serve as potential central biomarkers for SFN and provide insights into chronic pain perception mechanisms.
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Affiliation(s)
- Sebastian Scheliga
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Maike F Dohrn
- Department of Neurology, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty RWTH Aachen University, Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Angelika Lampert
- Institute of Neurophysiology, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Roman Rolke
- Department of Palliative Medicine, Medical Faculty RWTH Aachen University, Aachen, Germany
| | - Annette Lischka
- Institute for Human Genetics and Genomic Medicine, Medical Faculty RWTH Aachen University, Aachen, Germany
| | | | - Marc Spehr
- Department of Chemosensation, RWTH Aachen University, Institute for Biology II, Aachen, Germany
| | - Han-Gue Jo
- School of Computer Information and Communication Engineering, Kunsan National University, Gunsan, South Korea
| | - Thilo Kellermann
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty RWTH Aachen University, Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
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3
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Čeko M, Baeuerle T, Webster L, Wager TD, Lumley MA. The effects of virtual reality neuroscience-based therapy on clinical and neuroimaging outcomes in patients with chronic back pain: a randomized clinical trial. Pain 2024:00006396-990000000-00549. [PMID: 38466872 DOI: 10.1097/j.pain.0000000000003198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/06/2024] [Indexed: 03/13/2024]
Abstract
ABSTRACT Chronic pain remains poorly managed. The integration of immersive technologies (ie, virtual reality [VR]) with neuroscience-based principles may provide effective pain treatment by targeting cognitive and affective neural processes that maintain pain and therefore potentially changing neurobiological circuits associated with pain chronification and amplification. We tested the effectiveness of a novel VR neuroscience-based therapy (VRNT) to improve pain-related outcomes in n = 31 participants with chronic back pain, evaluated against usual care (waitlist control; n = 30) in a 2-arm randomized clinical trial (NCT04468074). We also conducted pre-treatment and post-treatment MRI to test whether VRNT affects brain networks previously linked to chronic pain and treatment effects. Compared with the control condition, VRNT led to significantly reduced pain intensity (g = 0.63) and pain interference (g = 0.84) at post-treatment vs pre-treatment, with effects persisting at 2-week follow-up. These improvements were partially mediated by reduced kinesiophobia and pain catastrophizing. Several secondary clinical outcomes were also improved by VRNT, including disability, quality of life, sleep, and fatigue. In addition, VRNT was associated with increases in dorsomedial prefrontal functional connectivity with the superior somatomotor, anterior prefrontal and visual cortices, and decreased white matter fractional anisotropy in the corpus callosum adjacent to the anterior cingulate, relative to the control condition. Thus, VRNT showed preliminary efficacy in significantly reducing pain and improving overall functioning, possibly through changes in somatosensory and prefrontal brain networks.
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Affiliation(s)
- Marta Čeko
- Institute of Cognitive Science, University of Colorado, Boulder, CO, United States
| | | | - Lynn Webster
- U.S. Center for Policy, Scientific Affairs, Dr. Vince Clinical Research, Salt Lake City, UT, United States
| | - Tor D Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - Mark A Lumley
- Department of Psychology, Wayne State University, Detroit, MI, United States
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Baliki MN, Vigotsky AD, Rached G, Jabakhanji R, Huang L, Branco P, Cong O, Griffith J, Wasan AD, Schnitzer TJ, Apkarian AV. Neuropsychology of chronic back pain managed with long-term opioid use. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.07.24302408. [PMID: 38370783 PMCID: PMC10871381 DOI: 10.1101/2024.02.07.24302408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Chronic pain is commonly treated with long-term opioids, but the neuropsychological outcomes associated with stable long-duration opioid use remain unclear. Here, we contrasted the psychological profiles, brain activity, and brain structure of 70 chronic back pain patients on opioids (CBP+O, average opioid exposure 6.2 years) with 70 patients managing their pain without opioids. CBP+O exhibited moderately worse psychological profiles and small differences in brain morphology. However, CBP+O had starkly different spontaneous brain activity, dominated by increased mesocorticolimbic and decreased dorsolateral-prefrontal activity, even after controlling for pain intensity and duration. These differences strongly reflected cortical opioid and serotonin receptor densities and mapped to two antagonistic resting-state circuits. The circuits' dynamics were explained by mesocorticolimbic activity and reflected negative affect. We reassessed a sub-group of CBP+O after they briefly abstained from taking opioids. Network dynamics, but not spontaneous activity, reflected exacerbated signs of withdrawal. Our results have implications for the management and tapering of opioids in chronic pain.
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Affiliation(s)
- Marwan N Baliki
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois
- Shirley Ryan AbilityLab, Chicago, Illinois
| | - Andrew D Vigotsky
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Biomedical Engineering and Statistics & Data Science, Northwestern University, Chicago, Illinois
| | - Gaelle Rached
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Neuroscience, Northwestern University, Chicago, Illinois
| | - Rami Jabakhanji
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Neuroscience, Northwestern University, Chicago, Illinois
| | - Lejian Huang
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Neuroscience, Northwestern University, Chicago, Illinois
| | - Paulo Branco
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Neuroscience, Northwestern University, Chicago, Illinois
- Department of Anesthesia, Northwestern University, Chicago, Illinois
| | - Olivia Cong
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Neuroscience, Northwestern University, Chicago, Illinois
| | - James Griffith
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Medical and Social Sciences, Northwestern University, Chicago, Illinois
| | - Ajay D Wasan
- Department of Anesthesiology and Perioperative Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Thomas J Schnitzer
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Anesthesia, Northwestern University, Chicago, Illinois
- Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois
| | - A Vania Apkarian
- Center for Translational Pain Research, Northwestern University, Chicago, Illinois
- Department of Neuroscience, Northwestern University, Chicago, Illinois
- Department of Anesthesia, Northwestern University, Chicago, Illinois
- Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois
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5
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Vande Vyvere T, De Groote A, De Groef A, Haenen V, Tjalma W, Van Dyck P, Meeus M. Morphological and functional brain changes in chronic cancer-related pain: A systematic review. Anat Rec (Hoboken) 2024; 307:285-297. [PMID: 36342941 DOI: 10.1002/ar.25113] [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] [Received: 06/29/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022]
Abstract
The purpose of this study was to perform a systematic review of the available literature on morphological and functional brain changes measured by modern neuroimaging techniques in patients suffering from chronic cancer-related pain. A systematic search was conducted in PubMed, Embase, and Web of Science using different keyword combinations. In addition, a hand search was performed on the reference lists and several databases to retrieve supplementary primary studies. Eligible articles were assessed for methodological quality and risk of bias and reviewed by two independent researchers. The search yielded only four studies, three of which used MRI and one PET-CT. None of the studies measured longitudinal morphological (i.e., gray or white matter) changes. All studies investigated functional brain changes and found differences in specific brain regions and networks between patients with chronic cancer-related pain and pain-free cancer patients or healthy volunteers. Some of these alterations were found in brain networks that also show changes in non-cancer populations with chronic pain (e.g., the default mode network and salience network). However, specific findings were inconsistent, and there was substantial variation in imaging methodology, analysis, sample size, and study quality. There is a striking lack of research on morphological brain changes in patients with chronic cancer-related pain. Moreover, only a few studies investigated functional brain changes. In the retrieved studies, there is some evidence that alterations occur in brain networks also involved in other chronic non-cancer pain syndromes. However, the low sample sizes of the studies, finding inconsistencies, and methodological heterogeneity do not allow for robust conclusions.
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Affiliation(s)
- Thijs Vande Vyvere
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Antwerp, Belgium
- Department of Radiology, Antwerp University Hospital, Antwerp, Belgium
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
| | - Amber De Groote
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Antwerp, Belgium
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
| | - An De Groef
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Antwerp, Belgium
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Vincent Haenen
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Antwerp, Belgium
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Wiebren Tjalma
- Department of Gynecological Oncology, Antwerp University Hospital, Antwerp, Belgium
- Multidisciplinary Breast Clinic, Antwerp University Hospital, Antwerp, Belgium
| | - Pieter Van Dyck
- Department of Radiology, Antwerp University Hospital, Antwerp, Belgium
- mVISION, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Mira Meeus
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Antwerp, Belgium
- Pain in Motion International Research Group (PiM), Antwerp, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
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6
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Bouhassira D, Attal N. Personalized treatment of neuropathic pain: Where are we now? Eur J Pain 2023; 27:1084-1098. [PMID: 37114461 DOI: 10.1002/ejp.2120] [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: 02/16/2023] [Revised: 04/07/2023] [Accepted: 04/15/2023] [Indexed: 04/29/2023]
Abstract
BACKGROUND The treatment of neuropathic pain remains a major unmet need that the development of personalized and refined treatment strategies may contribute to address. DATABASE In this narrative review, we summarize the various approaches based on objective biomarkers or clinical markers that could be used. RESULTS In principle, the validation of objective biomarkers would be the most robust approach. However, although promising results have been reported demonstrating a potential value of genomics, anatomical or functional markers, the clinical validation of these markers has only just begun. Thus, most of the strategies documented to date have been based on the development of clinical markers. In particular, many studies have suggested that the identification of specific subgroups of patients presenting with specific combinations of symptoms and signs would be a relevant approach. Two main approaches have been used to identify relevant sensory profiles: quantitative sensory testing and specific patients reported outcomes based on description of pain qualities. CONCLUSION We discuss here the advantages and limitations of these approaches, which are not mutually exclusive. SIGNIFICANCE Recent data indicate that various new treatment strategies based on predictive biological and/or clinical markers could be helpful to better personalized and therefore improve the management of neuropathic pain.
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Affiliation(s)
- Didier Bouhassira
- Inserm U987, UVSQ-Paris-Saclay University, Ambroise Pare Hospital, Boulogne-Billancourt, France
| | - Nadine Attal
- Inserm U987, UVSQ-Paris-Saclay University, Ambroise Pare Hospital, Boulogne-Billancourt, France
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Čeko M, Baeuerle T, Webster L, Wager TD, Lumley MA. The Effects of Virtual Reality Neuroscience-based Therapy on Clinical and Neuroimaging Outcomes in Patients with Chronic Back Pain: A Randomized Clinical Trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.24.23293109. [PMID: 37546872 PMCID: PMC10402228 DOI: 10.1101/2023.07.24.23293109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Chronic pain remains poorly managed. The integration of innovative immersive technologies (i.e., virtual reality (VR)) with recent neuroscience-based principles that position the brain as the key organ of chronic pain may provide a more effective pain treatment than traditional behavioral therapies. By targeting cognitive and affective processes that maintain pain and potentially directly changing neurobiological circuits associated with pain chronification and amplification, VR-based pain treatment has the potential for significant and long-lasting pain relief. We tested the effectiveness of a novel VR neuroscience-based therapy (VRNT) to improve pain-related outcomes in n = 31 participants with chronic back pain, evaluated against usual care (n = 30) in a 2-arm randomized clinical trial ( NCT04468074) . We also conducted pre- and post-treatment MRI to test whether VRNT affects brain networks previously linked to chronic pain and treatment effects. Compared to the control condition, VRNT led to significantly reduced pain intensity (g = 0.63) and pain interference (g = 0.84) at post-treatment vs. pre-treatment, with effects persisting at 2-week follow-up. The improvements were partially mediated by reduced kinesiophobia and pain catastrophizing. Several secondary clinical outcomes were also improved, including disability, quality of life, sleep, and fatigue. In addition, VRNT was associated with modest increases in functional connectivity of the somatomotor and default mode networks and decreased white matter fractional anisotropy in the corpus callosum adjacent to anterior cingula, relative to the control condition. This, VRNT showed preliminary efficacy in significantly reducing pain and improving overall functioning, possibly via changes in somatosensory and prefrontal brain networks.
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8
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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: 6] [Impact Index Per Article: 6.0] [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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9
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Yang L, Vigotsky AD, Wu B, Shen B, Yan Z, Apkarian AV, Huang L. Morphometric similarity networks discriminate patients with lumbar disc herniation from healthy controls and predict pain intensity. FRONTIERS IN NETWORK PHYSIOLOGY 2022; 2:992662. [PMID: 36926079 PMCID: PMC10013053 DOI: 10.3389/fnetp.2022.992662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/12/2022] [Indexed: 11/07/2022]
Abstract
We used a recently advanced technique, morphometric similarity (MS), in a large sample of lumbar disc herniation patients with chronic pain (LDH-CP) to examine morphometric features derived from multimodal MRI data. To do so, we evenly allocated 136 LDH-CPs to exploratory and validation groups with matched healthy controls (HC), randomly chosen from the pool of 157 HCs. We developed three MS-based models to discriminate LDH-CPs from HCs and to predict the pain intensity of LDH-CPs. In addition, we created analogous models using resting state functional connectivity (FC) to perform the above discrimination and prediction of pain, in addition to comparing the performance of FC- and MS-based models and investigating if an ensemble model, combining morphometric features and resting-state signals, could improve performance. We conclude that 1) MS-based models were able to discriminate LDH-CPs from HCs and the MS networks (MSN) model performed best; 2) MSN was able to predict the pain intensity of LDH-CPs; 3) FC networks constructed were able to discriminate LDH-CPs from HCs, but they could not predict pain intensity; and 4) the ensemble model neither improved discrimination nor pain prediction performance. Generally, MSN is sensitive enough to uncover brain morphology alterations associated with chronic pain and provides novel insights regarding the neuropathology of chronic pain.
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Affiliation(s)
- Lili Yang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Andrew D. Vigotsky
- Departments of Biomedical Engineering and Statistics, Northwestern University, Evanston, IL, United States
| | - Binbin Wu
- Department of Pain Medicine, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Bangli Shen
- Department of Pain Medicine, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhihan Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - A. Vania Apkarian
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lejian Huang
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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10
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Maulitz L, Stickeler E, Stickel S, Habel U, Tchaikovski SN, Chechko N. Endometriosis, psychiatric comorbidities and neuroimaging: Estimating the odds of an endometriosis brain. Front Neuroendocrinol 2022; 65:100988. [PMID: 35202605 DOI: 10.1016/j.yfrne.2022.100988] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 02/07/2022] [Accepted: 02/17/2022] [Indexed: 12/12/2022]
Abstract
Endometriosis is a chronic pain disorder that affects young women, impairing their physical, mental and social well-being. Apart from personal suffering, it imposes a significant economic burden on the healthcare system. We analyzed studies reporting comorbid mental disorders in endometriosis based on the ICD/DSM criteria, discussing them in the context of available neuroimaging studies. We postulate that at least one-third of endometriosis patients suffer from mental disorders (mostly depression or anxiety) and require psychiatric or psychotherapeutic support. According to three neuroimaging studies involving patients with endometriosis, brain regions related not only to pain processing but also to emotion, cognition, self-regulation and reward likely constitute the so-called "endometriosis brain". It is not clear, however, whether the neurobiological changes seen in these patients are caused by chronic pain, mental comorbidities or endometriosis itself. Given the paucity of high-quality data on mental comorbidities and neurobiological correlates in endometriosis, further research is needed.
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Affiliation(s)
- L Maulitz
- Department of Gynaecology and Obstetrics, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - E Stickeler
- Department of Gynaecology and Obstetrics, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - S Stickel
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Wilhelm-Johnen-Strasse, 52428 Jülich, Germany
| | - U Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Wilhelm-Johnen-Strasse, 52428 Jülich, Germany
| | - S N Tchaikovski
- Department of Gynaecology and Obstetrics, RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; Department of Gynaecology and Obstetrics, Otto von Guericke University Magdeburg, Gerhart-Hauptmann-Straße 35, 39108 Magdeburg, Germany
| | - N Chechko
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Wilhelm-Johnen-Strasse, 52428 Jülich, Germany; Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Center Jülich, Wilhelm-Johnen-Strasse, 52428 Jülich, Germany.
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11
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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: 29] [Impact Index Per Article: 14.5] [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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12
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Altered Structural Covariance of Insula, Cerebellum and Prefrontal Cortex Is Associated with Somatic Symptom Levels in Irritable Bowel Syndrome (IBS). Brain Sci 2021; 11:brainsci11121580. [PMID: 34942882 PMCID: PMC8699158 DOI: 10.3390/brainsci11121580] [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: 10/25/2021] [Revised: 11/18/2021] [Accepted: 11/27/2021] [Indexed: 11/29/2022] Open
Abstract
Somatization, defined as the presence of multiple somatic symptoms, frequently occurs in irritable bowel syndrome (IBS) and may constitute the clinical manifestation of a neurobiological sensitization process. Brain imaging data was acquired with T1 weighted 3 tesla MRI, and gray matter morphometry were analyzed using FreeSurfer. We investigated differences in networks of structural covariance, based on graph analysis, between regional gray matter volumes in IBS-related brain regions between IBS patients with high and low somatization levels, and compared them to healthy controls (HCs). When comparing IBS low somatization (N = 31), IBS high somatization (N = 35), and HCs (N = 31), we found: (1) higher centrality and neighbourhood connectivity of prefrontal cortex subregions in IBS high somatization compared to healthy controls; (2) higher centrality of left cerebellum in IBS low somatization compared to both IBS high somatization and healthy controls; (3) higher centrality of the anterior insula in healthy controls compared to both IBS groups, and in IBS low compared to IBS high somatization. The altered structural covariance of prefrontal cortex and anterior insula in IBS high somatization implicates that prefrontal processes may be more important than insular in the neurobiological sensitization process associated with IBS high somatization.
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13
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Interhemispheric co-alteration of brain homotopic regions. Brain Struct Funct 2021; 226:2181-2204. [PMID: 34170391 PMCID: PMC8354999 DOI: 10.1007/s00429-021-02318-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 06/07/2021] [Indexed: 11/11/2022]
Abstract
Asymmetries in gray matter alterations raise important issues regarding the pathological co-alteration between hemispheres. Since homotopic areas are the most functionally connected sites between hemispheres and gray matter co-alterations depend on connectivity patterns, it is likely that this relationship might be mirrored in homologous interhemispheric co-altered areas. To explore this issue, we analyzed data of patients with Alzheimer’s disease, schizophrenia, bipolar disorder and depressive disorder from the BrainMap voxel-based morphometry database. We calculated a map showing the pathological homotopic anatomical co-alteration between homologous brain areas. This map was compared with the meta-analytic homotopic connectivity map obtained from the BrainMap functional database, so as to have a meta-analytic connectivity modeling map between homologous areas. We applied an empirical Bayesian technique so as to determine a directional pathological co-alteration on the basis of the possible tendencies in the conditional probability of being co-altered of homologous brain areas. Our analysis provides evidence that: the hemispheric homologous areas appear to be anatomically co-altered; this pathological co-alteration is similar to the pattern of connectivity exhibited by the couples of homologues; the probability to find alterations in the areas of the left hemisphere seems to be greater when their right homologues are also altered than vice versa, an intriguing asymmetry that deserves to be further investigated and explained.
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14
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Kimura LF, Novaes LS, Picolo G, Munhoz CD, Cheung CW, Camarini R. How environmental enrichment balances out neuroinflammation in chronic pain and comorbid depression and anxiety disorders. Br J Pharmacol 2021; 179:1640-1660. [PMID: 34076891 DOI: 10.1111/bph.15584] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/05/2021] [Accepted: 05/17/2021] [Indexed: 11/30/2022] Open
Abstract
Depression and anxiety commonly occur in chronic pain states and the coexistence of these diseases worsens outcomes for both disorders and may reduce treatment adherence and response. Despite the advances in the knowledge of chronic pain mechanisms, pharmacological treatment is still unsatisfactory. Research based on exposure to environmental enrichment is currently under investigation and seems to offer a promising low-cost strategy with no side effects. In this review, we discuss the role of inflammation as a major biological substrate and aetiological factor of chronic pain and depression/anxiety and report a collection of preclinical evidence of the effects and mechanisms of environmental enrichment. As microglia participates in the development of both conditions, we also discuss microglia as a potential target underlying the beneficial actions of environmental enrichment in chronic pain and comorbid depression/anxiety. We also discuss how alternative interventions under clinical guidelines, such as environmental enrichment, may improve treatment compliance and patient outcomes.
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Affiliation(s)
- Louise F Kimura
- Laboratory of Pain and Signaling, Butantan Institute, São Paulo, Brazil
| | - Leonardo S Novaes
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Gisele Picolo
- Laboratory of Pain and Signaling, Butantan Institute, São Paulo, Brazil
| | - Carolina D Munhoz
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Chi W Cheung
- Department of Anesthesiology, University of Hong Kong, Hong Kong
| | - Rosana Camarini
- Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
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15
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Costa T, Manuello J, Ferraro M, Liloia D, Nani A, Fox PT, Lancaster J, Cauda F. BACON: A tool for reverse inference in brain activation and alteration. Hum Brain Mapp 2021; 42:3343-3351. [PMID: 33991154 PMCID: PMC8249901 DOI: 10.1002/hbm.25452] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 02/03/2021] [Accepted: 04/10/2021] [Indexed: 01/17/2023] Open
Abstract
Over the past decades, powerful MRI‐based methods have been developed, which yield both voxel‐based maps of the brain activity and anatomical variation related to different conditions. With regard to functional or structural MRI data, forward inferences try to determine which areas are involved given a mental function or a brain disorder. A major drawback of forward inference is its lack of specificity, as it suggests the involvement of brain areas that are not specific for the process/condition under investigation. Therefore, a different approach is needed to determine to what extent a given pattern of cerebral activation or alteration is specifically associated with a mental function or brain pathology. In this study, we present a new tool called BACON (Bayes fACtor mOdeliNg) for performing reverse inference both with functional and structural neuroimaging data. BACON implements the Bayes' factor and uses the activation likelihood estimation derived‐maps to obtain posterior probability distributions on the evidence of specificity with regard to a particular mental function or brain pathology.
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Affiliation(s)
- Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Department of Psychology, University of Turin, Turin, Italy.,FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Department of Psychology, University of Turin, Turin, Italy.,FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Mario Ferraro
- FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy.,Department of Physics, University of Turin, Turin, Italy
| | - Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Department of Psychology, University of Turin, Turin, Italy.,FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Department of Psychology, University of Turin, Turin, Italy.,FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas, USA.,South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Jack Lancaster
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas, USA.,South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,Department of Psychology, University of Turin, Turin, Italy.,FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy
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16
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Optimizing Chronic Pain Treatment with Enhanced Neuroplastic Responsiveness: A Pilot Randomized Controlled Trial. Nutrients 2021; 13:nu13051556. [PMID: 34063083 PMCID: PMC8147927 DOI: 10.3390/nu13051556] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 04/23/2021] [Accepted: 04/30/2021] [Indexed: 02/07/2023] Open
Abstract
Chronic pain affects mental and physical health and alters brain structure and function. Interventions that reduce chronic pain are also associated with changes in the brain. A number of non-invasive strategies can promote improved learning and memory and increase neuroplasticity in older adults. Intermittent fasting and glucose administration represent two such strategies with the potential to optimize the neurobiological environment to increase responsiveness to recognized pain treatments. The purpose of the pilot study was to test the feasibility and acceptability of intermittent fasting and glucose administration paired with a recognized pain treatment activity, relaxation and guided imagery. A total of 32 adults (44% W, 56% M), 50 to 85 years of age, with chronic knee pain for three months or greater participated in the study. Four sessions were completed over an approximate two-week period. Findings indicate the ability to recruit, randomize, and retain participants in the protocol. The procedures and measures were reasonable and completed without incident. Participant adherence was high and exit interview feedback positive. In summary, the pilot study was feasible and acceptable, providing the evidence necessary to move forward with a larger clinical trial.
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17
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Grinsvall C, Ryu HJ, Van Oudenhove L, Labus JS, Gupta A, Ljungberg M, Törnblom H, Mayer EA, Simrén M. Association between pain sensitivity and gray matter properties in the sensorimotor network in women with irritable bowel syndrome. Neurogastroenterol Motil 2021; 33:e14027. [PMID: 33174312 PMCID: PMC8047895 DOI: 10.1111/nmo.14027] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/26/2020] [Accepted: 10/16/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Enhanced perception of visceral stimuli is an important feature of Irritable Bowel Syndrome (IBS), but it is not known whether visceral sensitivity is associated with regional structural brain properties in IBS. METHODS Structural brain magnetic resonance imaging data from 216 women with IBS and 138 healthy women were parcellated with FreeSurfer to define regional gray matter morphometry (volume, cortical thickness, surface area and mean curvature) in the sensorimotor network. General linear models were used to detect group differences between IBS and health. In a second set of 48 female IBS patients, pain threshold, pain intensity ratings during rectal balloon distension, and reported levels of abdominal pain and bloating were correlated with brain regions that showed differences between IBS and health in the first data set. KEY RESULTS Several statistically significant differences between IBS patients and healthy controls were found, mainly higher gray matter volume and cortical thickness in primary somatosensory cortex, secondary somatosensory cortex, and subcortical regions, and lesser gray matter volume, surface area and cortical thickness in posterior insula and superior frontal gyrus. Pain intensity ratings during rectal distension were associated with left primary somatosensory cortical thickness, and pain threshold was associated with right nucleus accumbens volume. CONCLUSIONS AND INFERENCES Regional gray matter differences in sensorimotor network are associated with visceral sensitivity and may represent neuroplastic changes in female IBS patients.
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Affiliation(s)
- Cecilia Grinsvall
- Department of Internal Medicine & Clinical NutritionInstitute of MedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Hyo Jin Ryu
- Vatche and Tamar Manoukian Division of Digestive DiseasesDavid Geffen School at UCLALos AngelesCAUSA
| | - Lukas Van Oudenhove
- Translational Research Center for Gastrointestinal Disorders (TARGID)KU LeuvenLeuvenBelgium
| | - Jennifer S. Labus
- Vatche and Tamar Manoukian Division of Digestive DiseasesDavid Geffen School at UCLALos AngelesCAUSA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive DiseasesDavid Geffen School at UCLALos AngelesCAUSA
| | - Maria Ljungberg
- Department of Radiation PhysicsInstitute of Clinical SciencesSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Medical Physics and Biomedical EngineeringDiagnostic ImagingSahlgrenska University HospitalMR CentreGothenburgSweden
| | - Hans Törnblom
- Department of Internal Medicine & Clinical NutritionInstitute of MedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Emeran A. Mayer
- Vatche and Tamar Manoukian Division of Digestive DiseasesDavid Geffen School at UCLALos AngelesCAUSA
| | - Magnus Simrén
- Department of Internal Medicine & Clinical NutritionInstitute of MedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Center for Functional Gastrointestinal and Motility DisordersUniversity of North Carolina at Chapel HillChapel HillNCUSA
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18
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Nani A, Manuello J, Mancuso L, Liloia D, Costa T, Vercelli A, Duca S, Cauda F. The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting. Neuroimage 2020; 225:117481. [PMID: 33122115 DOI: 10.1016/j.neuroimage.2020.117481] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 12/14/2022] Open
Abstract
Brain disorders tend to impact on many different regions in a typical way: alterations do not spread randomly; rather, they seem to follow specific patterns of propagation that show a strong overlap between different pathologies. The insular cortex is one of the brain areas more involved in this phenomenon, as it seems to be altered by a wide range of brain diseases. On these grounds we thoroughly investigated the impact of brain disorders on the insular cortices analyzing the patterns of their structural co-alteration. We therefore investigated, applying a network analysis approach to meta-analytic data, 1) what pattern of gray matter alteration is associated with each of the insular cortex parcels; 2) whether or not this pattern correlates and overlaps with its functional meta-analytic connectivity; and, 3) the behavioral profile related to each insular co-alteration pattern. All the analyses were repeated considering two solutions: one with two clusters and another with three. Our study confirmed that the insular cortex is one of the most altered cerebral regions among the cortical areas, and exhibits a dense network of co-alteration including a prevalence of cortical rather than sub-cortical brain regions. Regions of the frontal lobe are the most involved, while occipital lobe is the less affected. Furthermore, the co-alteration and co-activation patterns greatly overlap each other. These findings provide significant evidence that alterations caused by brain disorders are likely to be distributed according to the logic of network architecture, in which brain hubs lie at the center of networks composed of co-altered areas. For the first time, we shed light on existing differences between insula sub-regions even in the pathoconnectivity domain.
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Affiliation(s)
- Andrea Nani
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Jordi Manuello
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Lorenzo Mancuso
- FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Donato Liloia
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Tommaso Costa
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy.
| | - Alessandro Vercelli
- Neuroscience Institute of Turin, Turin, Italy; Neuroscience Institute Cavalieri Ottolenghi, Turin, Italy; Department of Neuroscience, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Franco Cauda
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy; Neuroscience Institute of Turin, Turin, Italy
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19
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Cauda F, Nani A, Liloia D, Manuello J, Premi E, Duca S, Fox PT, Costa T. Finding specificity in structural brain alterations through Bayesian reverse inference. Hum Brain Mapp 2020; 41:4155-4172. [PMID: 32829507 PMCID: PMC7502845 DOI: 10.1002/hbm.25105] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/19/2020] [Accepted: 06/10/2020] [Indexed: 12/20/2022] Open
Abstract
In the field of neuroimaging reverse inferences can lead us to suppose the involvement of cognitive processes from certain patterns of brain activity. However, the same reasoning holds if we substitute "brain activity" with "brain alteration" and "cognitive process" with "brain disorder." The fact that different brain disorders exhibit a high degree of overlap in their patterns of structural alterations makes forward inference-based analyses less suitable for identifying brain areas whose alteration is specific to a certain pathology. In the forward inference-based analyses, in fact, it is impossible to distinguish between areas that are altered by the majority of brain disorders and areas that are specifically affected by certain diseases. To address this issue and allow the identification of highly pathology-specific altered areas we used the Bayes' factor technique, which was employed, as a proof of concept, on voxel-based morphometry data of schizophrenia and Alzheimer's disease. This technique allows to calculate the ratio between the likelihoods of two alternative hypotheses (in our case, that the alteration of the voxel is specific for the brain disorder under scrutiny or that the alteration is not specific). We then performed temporal simulations of the alterations' spread associated with different pathologies. The Bayes' factor values calculated on these simulated data were able to reveal that the areas, which are more specific to a certain disease, are also the ones to be early altered. This study puts forward a new analytical instrument capable of innovating the methodological approach to the investigation of brain pathology.
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Affiliation(s)
- Franco Cauda
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Andrea Nani
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Donato Liloia
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Jordi Manuello
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Enrico Premi
- Stroke Unit, Azienda Socio Sanitaria Territoriale Spedali CiviliSpedali Civili HospitalBresciaItaly
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Sergio Duca
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
| | - Peter T. Fox
- Research Imaging InstituteUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- South Texas Veterans Health Care SystemSan AntonioTexasUSA
| | - Tommaso Costa
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
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Cauda F, Mancuso L, Nani A, Ficco L, Premi E, Manuello J, Liloia D, Gelmini G, Duca S, Costa T. Hubs of long-distance co-alteration characterize brain pathology. Hum Brain Mapp 2020; 41:3878-3899. [PMID: 32562581 PMCID: PMC7469792 DOI: 10.1002/hbm.25093] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 05/06/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022] Open
Abstract
It is becoming clearer that the impact of brain diseases is more convincingly represented in terms of co-alterations rather than in terms of localization of alterations. In this context, areas characterized by a long mean distance of co-alteration may be considered as hubs with a crucial role in the pathology. We calculated meta-analytic transdiagnostic networks of co-alteration for the gray matter decreases and increases, and we evaluated the mean Euclidean, fiber-length, and topological distance of its nodes. We also examined the proportion of co-alterations between canonical networks, and the transdiagnostic variance of the Euclidean distance. Furthermore, disease-specific analyses were conducted on schizophrenia and Alzheimer's disease. The anterodorsal prefrontal cortices appeared to be a transdiagnostic hub of long-distance co-alterations. Also, the disease-specific analyses showed that long-distance co-alterations are more able than classic meta-analyses to identify areas involved in pathology and symptomatology. Moreover, the distance maps were correlated with the normative connectivity. Our findings substantiate the network degeneration hypothesis in brain pathology. At the same time, they suggest that the concept of co-alteration might be a useful tool for clinical neuroscience.
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Affiliation(s)
- Franco Cauda
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Lorenzo Mancuso
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Andrea Nani
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Linda Ficco
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Enrico Premi
- Stroke Unit, Azienda Socio‐Sanitaria Territoriale Spedali CiviliSpedali Civili HospitalBresciaItaly
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Jordi Manuello
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Donato Liloia
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Gabriele Gelmini
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
| | - Sergio Duca
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
| | - Tommaso Costa
- GCS‐fMRI, Koelliker Hospital and Department of PsychologyUniversity of TurinTurinItaly
- FOCUS Lab, Department of PsychologyUniversity of TurinTurinItaly
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21
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Mancuso L, Fornito A, Costa T, Ficco L, Liloia D, Manuello J, Duca S, Cauda F. A meta-analytic approach to mapping co-occurrent grey matter volume increases and decreases in psychiatric disorders. Neuroimage 2020; 222:117220. [PMID: 32777357 DOI: 10.1016/j.neuroimage.2020.117220] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 12/14/2022] Open
Abstract
Numerous studies have investigated grey matter (GM) volume changes in diverse patient groups. Reports of disorder-related GM reductions are common in such work, but many studies also report evidence for GM volume increases in patients. It is unclear whether these GM increases and decreases are independent or related in some way. Here, we address this question using a novel meta-analytic network mapping approach. We used a coordinate-based meta-analysis of 64 voxel-based morphometry studies of psychiatric disorders to calculate the probability of finding a GM increase or decrease in one region given an observed change in the opposite direction in another region. Estimating this co-occurrence probability for every pair of brain regions allowed us to build a network of concurrent GM changes of opposing polarity. Our analysis revealed that disorder-related GM increases and decreases are not independent; instead, a GM change in one area is often statistically related to a change of opposite polarity in other areas, highlighting distributed yet coordinated changes in GM volume as a function of brain pathology. Most regions showing GM changes linked to an opposite change in a distal area were located in salience, executive-control and default mode networks, as well as the thalamus and basal ganglia. Moreover, pairs of regions showing coupled changes of opposite polarity were more likely to belong to different canonical networks than to the same one. Our results suggest that regional GM alterations in psychiatric disorders are often accompanied by opposing changes in distal regions that belong to distinct functional networks.
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Affiliation(s)
- Lorenzo Mancuso
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University,Victoria, Australia; Monash Biomedical Imaging, Monash University,Victoria, Australia
| | - Tommaso Costa
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
| | - Linda Ficco
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Donato Liloia
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Franco Cauda
- FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy; GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
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22
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Bagnis A, Celeghin A, Diano M, Mendez CA, Spadaro G, Mosso CO, Avenanti A, Tamietto M. Functional neuroanatomy of racial categorization from visual perception: A meta-analytic study. Neuroimage 2020; 217:116939. [DOI: 10.1016/j.neuroimage.2020.116939] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 05/01/2020] [Accepted: 05/08/2020] [Indexed: 01/30/2023] Open
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Ma H, Sheng L, Chen F, Yuan C, Dai Z, Pan P. Cortical thickness in chronic pain: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e21499. [PMID: 32756184 PMCID: PMC7402897 DOI: 10.1097/md.0000000000021499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Numerous studies using a variety of non-invasive neuroimaging techniques in vivo have demonstrated that chronic pain (CP) is associated with brain alterations. Cortical thickness (CTh) via surface-based morphometry (SBM) analysis of magnetic resonance imaging data is a valid and sensitive method to investigate the structure of brain gray matter. Many studies have employed SBM to measure CTh difference between patients with CP and pain-free controls and provided important insights into the brain basis of CP. However, the findings from these studies were inconsistent and have not been quantitatively reviewed. METHODS Three major electronic medical databases: PubMed, Web of Science, and Embase were searched for eligible studies published in English on April 3, 2020. This protocol was prepared based on the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols. The Seed-based d Mapping with Permutation of Subject Images software package will be employed to conducted a coordinate-based meta-analysis (CBMA) to identify consistent CTh differences between patients with CP and pain-free controls. Several complementary analyses, including sensitivity analysis, heterogeneity analysis, publication bias, subgroup analysis, and meta-regression analysis, will be further conducted to test the robustness of the results. RESULTS This CBMA will tell us whether CP with different subtypes shares common CTh alterations and what the pattern of its characterized alterations is. CONCLUSIONS To the best of our knowledge, this will be the first CBMA of SBM studies that characterizes brain CTh alterations in CP. The CBMA will provide the quantitative evidence of common brain cortical morphometry of CP. The findings will help us to understand the neural basis underlying CP. TRIAL REGISTRATION NUMBER INPLASY202050069.
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Affiliation(s)
- HaiRong Ma
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Jiangsu
| | - LiQin Sheng
- Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Jiangsu
| | | | - CongHu Yuan
- Department of Anesthesia and Pain Management
| | | | - PingLei Pan
- Department of Neurology
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
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24
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Lin X, Zhen D, Li H, Zhong J, Dai Z, Yuan C, Pan P. Altered local connectivity in chronic pain: A voxel-wise meta-analysis of resting-state functional magnetic resonance imaging studies. Medicine (Baltimore) 2020; 99:e21378. [PMID: 32756127 PMCID: PMC7402869 DOI: 10.1097/md.0000000000021378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND A number of studies have used regional homogeneity (ReHo) to depict local functional connectivity in chronic pain (CP). However, the findings from these studies were mixed and inconsistent. METHODS A computerized literature search will be performed in PubMed, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), WanFang, and SinoMed databases until June 15, 2019 and updated on March 20, 2020. This protocol will follow the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P). The Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) software will be used for this voxel-wise meta-analysis. RESULTS This meta-analysis will identify the most consistent ReHo alterations in CP. CONCLUSIONS To our knowledge, this will be the first voxel-wise meta-analysis that integrates ReHo findings in CP. This meta-analysis will offer the quantitative evidence of ReHo alterations that characterize brain local functional connectivity of CP. PROSPERO REGISTRATION NUMBER CRD42019148523.
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Affiliation(s)
- XiaoGuang Lin
- Department of Neurology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, Jiangsu
| | - Dan Zhen
- Jiangsu Vocational College of Medicine
| | | | | | | | - CongHu Yuan
- Department of Anesthesia and Pain Management
| | - PingLei Pan
- Department of Neurology
- Department of Central Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, P.R. China
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25
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Candido Santos L, Gushken F, Gadotti GM, Dias BDF, Marinelli Pedrini S, Barreto MESF, Zippo E, Pinto CB, Piza PVDT, Fregni F. Intracortical Inhibition in the Affected Hemisphere in Limb Amputation. Front Neurol 2020; 11:720. [PMID: 32849197 PMCID: PMC7406670 DOI: 10.3389/fneur.2020.00720] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 06/12/2020] [Indexed: 12/18/2022] Open
Abstract
Phantom limb pain (PLP) affects up to 80% of amputees. Despite the lack of consensus about the etiology and pathophysiology of phantom experiences, previous evidence pointed out the role of changes in motor cortex excitability as an important factor associated with amputation and PLP. In this systematic review, we investigated changes in intracortical inhibition as indexed by transcranial magnetic stimulation (TMS) in amputees and its relationship to pain. Four electronic databases were screened to identify studies using TMS to measure cortical inhibition, such as short intracortical inhibition (SICI), long intracortical inhibition (LICI) and cortical silent period (CSP). Seven articles were included and evaluated cortical excitability comparing the affected hemisphere with the non-affected hemisphere or with healthy controls. None of them correlated cortical disinhibition and clinical parameters, such as the presence or intensity of PLP. However, most studies showed decreased SICI in amputees affected hemisphere. These results highlight that although SICI seems to be changed in the affected hemisphere in amputees, most of the studies did not investigate its clinical correlation. Thus, the question of whether they are a valid diagnostic marker remains unanswered. Also, the results were highly variable for both measurements due to the heterogeneity of study designs and group comparisons in each study. Although these results underscore the role of inhibitory networks after amputation, more studies are needed to investigate the role of a decreased inhibitory drive in the motor cortex to the cause and maintenance of PLP.
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Affiliation(s)
- Ludmilla Candido Santos
- Laboratory of Neuromodulation & Center for Clinical Research Learning, Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, United States
| | | | | | | | | | | | - Emanuela Zippo
- Faculdade Israelita de Ciências da Saúde, São Paulo, Brazil
| | - Camila Bonin Pinto
- Laboratory of Neuromodulation & Center for Clinical Research Learning, Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, United States
| | | | - Felipe Fregni
- Laboratory of Neuromodulation & Center for Clinical Research Learning, Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, United States
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26
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Moss RA. Psychotherapy in pain management: New viewpoints and treatment targets based on a brain theory. AIMS Neurosci 2020; 7:194-207. [PMID: 32995484 PMCID: PMC7519970 DOI: 10.3934/neuroscience.2020013] [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: 04/21/2020] [Accepted: 06/30/2020] [Indexed: 11/24/2022] Open
Abstract
The current paper provides an explanation of neurophysiological pain processing based the Dimensional Systems Model (DSM), a theory of higher cortical functions in which the cortical column is considered the binary digit for all cortical functions. Within the discussion, novel views on the roles of the basal ganglia, cerebellum, and cingulate cortex are presented. Additionally, an applied Clinical Biopsychological Model (CBM) based on the DSM will be discussed as related to psychological treatment with chronic pain patients. Three specific areas that have not been adequately addressed in the psychological treatment of chronic pain patients will be discussed based on the CBM. The treatment approaches have been effectively used in a clinical setting. Conclusions focus on a call for researchers and clinicians to fully evaluate the value of both the DSM and CBM.
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Affiliation(s)
- Robert A. Moss
- North Mississippi Regional Pain Consultants, 4381 Eason Blvd., Tupelo, MS 38801 USA
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27
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Rahal L, Thibaut M, Rivals I, Claron J, Lenkei Z, Sitt JD, Tanter M, Pezet S. Ultrafast ultrasound imaging pattern analysis reveals distinctive dynamic brain states and potent sub-network alterations in arthritic animals. Sci Rep 2020; 10:10485. [PMID: 32591574 PMCID: PMC7320008 DOI: 10.1038/s41598-020-66967-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 05/29/2020] [Indexed: 01/20/2023] Open
Abstract
Chronic pain pathologies, which are due to maladaptive changes in the peripheral and/or central nervous systems, are debilitating diseases that affect 20% of the European adult population. A better understanding of the mechanisms underlying this pathogenesis would facilitate the identification of novel therapeutic targets. Functional connectivity (FC) extracted from coherent low-frequency hemodynamic fluctuations among cerebral networks has recently brought light on a powerful approach to study large scale brain networks and their disruptions in neurological/psychiatric disorders. Analysis of FC is classically performed on averaged signals over time, but recently, the analysis of the dynamics of FC has also provided new promising information. Keeping in mind the limitations of animal models of persistent pain but also the powerful tool they represent to improve our understanding of the neurobiological basis of chronic pain pathogenicity, this study aimed at defining the alterations in functional connectivity, in a clinically relevant animal model of sustained inflammatory pain (Adjuvant-induced Arthritis) in rats by using functional ultrasound imaging, a neuroimaging technique with a unique spatiotemporal resolution (100 μm and 2 ms) and sensitivity. Our results show profound alterations of FC in arthritic animals, such as a subpart of the somatomotor (SM) network, occurring several weeks after the beginning of the disease. Also, we demonstrate for the first time that dynamic functional connectivity assessed by ultrasound can provide quantitative and robust information on the dynamic pattern that we define as brain states. While the main state consists of an overall synchrony of hemodynamic fluctuations in the SM network, arthritic animal spend statistically more time in two other states, where the fluctuations of the primary sensory cortex of the inflamed hind paws show asynchrony with the rest of the SM network. Finally, correlating FC changes with pain behavior in individual animals suggest links between FC alterations and either the cognitive or the emotional aspects of pain. Our study introduces fUS as a new translational tool for the enhanced understanding of the dynamic pain connectome and brain plasticity in a major preclinical model of chronic pain.
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Affiliation(s)
- Line Rahal
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, 10 rue Vauquelin, 75005, Paris, France
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, Paris, France
| | - Miguel Thibaut
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, 10 rue Vauquelin, 75005, Paris, France
| | - Isabelle Rivals
- Equipe de Statistique Appliquée, ESPCI Paris, PSL Research University, UMRS 1158, 10 rue Vauquelin, 75005, Paris, France
| | - Julien Claron
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, Paris, France
| | - Zsolt Lenkei
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, 10 rue Vauquelin, 75005, Paris, France
- Center of Psychiatry and Neurosciences, INSERM U894, 102 rue de la Santé, 75014, Paris, France
| | - Jacobo D Sitt
- Institut du Cerveau et de la Moelle, INSERM U1127, CNRS UMR 7225, Sorbonne University, UPMC Univ Paris 06 UMR, S 1127, Paris, France
| | - Mickael Tanter
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, Paris, France
| | - Sophie Pezet
- Laboratory of Brain Plasticity, ESPCI Paris, PSL Research University, CNRS UMR 8249, 10 rue Vauquelin, 75005, Paris, France.
- Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, Paris, France.
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28
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Deconstructing biomarkers for chronic pain: context- and hypothesis-dependent biomarker types in relation to chronic pain. Pain 2020; 160 Suppl 1:S37-S48. [PMID: 31008848 DOI: 10.1097/j.pain.0000000000001529] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This review expounds on types and properties of biomarkers for chronic pain, given a mechanistic model of processes underlying development of chronic pain. It covers advances in the field of developing biomarkers for chronic pain, while outlining the general principles of categorizing types of biomarkers driven by specific hypotheses regarding underlying mechanisms. Within this theoretical construct, example biomarkers are described and their properties expounded. We conclude that the field is advancing in important directions and the developed biomarkers have the potential of impacting both the science and the clinical practice regarding chronic pain.
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29
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Emerson NM, Meeker TJ, Greenspan JD, Saffer MI, Campbell CM, Korzeniewska A, Lenz FA. Missed targets, reaction times, and arousal are related to trait anxiety and attention to pain during an experimental vigilance task with a painful target. J Neurophysiol 2020; 123:462-472. [PMID: 31596643 PMCID: PMC7052634 DOI: 10.1152/jn.00331.2019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 10/03/2019] [Accepted: 10/03/2019] [Indexed: 11/22/2022] Open
Abstract
Although hypervigilance may play a role in some clinical pain syndromes, experimental vigilance toward painful stimuli has been studied infrequently. We evaluated vigilance toward pain by using a continuous performance task (CPT), in which subjects responded to moderately intense painful target stimuli, occurring in a train of mildly painful nontargets. We assessed nondetected targets (misses), reaction times (RTs), and psychological activation (tense arousal). During time on task in CPTs of other sensory modalities, there is an increase in misses and RTs (vigilance decrement). We hypothesized that our CPT would influence vigilance performance related to pain, anxiety, and limitation of attentional resources. The results showed a decrement in vigilance over time as misses increased, although RTs were unchanged. While mind-wandering did not influence vigilance performance, intrinsic attention to pain drove both hit RTs and number of misses. This resulted in pain-focused subjects performing worse on the CPT pain task with slower RTs and more misses per block. During the CPT, the change in stimulus salience was related to the change in pain intensity, while pain unpleasantness correlated with tense arousal. CPT performance during experimental vigilance to pain and psychological activation were related to trait anxiety, as measured by the Spielberger State-Trait Anxiety Inventory and neuroticism, as measured by the NEO five factor inventory. Trait anxiety and neuroticism may play important roles in an individual's predisposition to dwell on pain and interpret pain as threatening.NEW & NOTEWORTHY Subjects detected moderately painful target stimuli in a train of mildly painful nontarget stimuli, which resulted in vigilance performance metrics including missed targets, reaction times, and psychological activation. These performance metrics were related to intrinsic attention to pain and trait anxiety. Subjects with high trait anxiety and neuroticism scores, with a predisposition to attend to pain, had greater tense arousal and poorer vigilance performance, which may be important psychological aspects of vigilance to pain.
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Affiliation(s)
- Nichole M Emerson
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
| | - Timothy J Meeker
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
| | - Joel D Greenspan
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
- Department of Neural and Pain Sciences and Center to Advance Chronic Pain Research, University of Maryland, Baltimore, Baltimore, Maryland
| | - Mark I Saffer
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
| | - Claudia M Campbell
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Anna Korzeniewska
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland
| | - Fred A Lenz
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
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30
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Viggiani D, Nelson-Wong E, Davidson BS, Callaghan JP. A comparison of trunk control in people with no history, standing-induced, and recurrent low back pain during trunk extension. J Man Manip Ther 2019; 28:94-102. [PMID: 31829827 DOI: 10.1080/10669817.2019.1701834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
Objectives: This study compares people with recurrent low back pain (rLBP) and people with pre-clinical low back pain (standing-induced low back pain developers; PDs) to each other and back-healthy controls (non-pain developers; NPDs). Movement variability and muscular co-activity related to coordination are important for both rLBP and PDs, and these two groups also have altered static spine extension.Methods: Eleven participants with recurrent low back pain, and twenty-one asymptomatic participants, categorized as PDs (11) and NPDs (10) through an established standing protocol, volunteered for this study. Three phases of standing extension motion (lean, hold, and return to neutral) were analyzed. Root mean square angular jerk was calculated from trunk and pelvis kinematics, co-activation of the trunk and hip musculature were assessed in four-muscle sets.Results: Root-mean-square jerk was greater when returning to neutral than when leaning back during standing extension in all three groups. People with rLBP had reduced co-activity in their trunk extensors, people classified as PD had more co-activity in their hip extensors compared with the other groups, and anterior trunk co-activity was phase-dependent, and similar between groups.Discussion: Movement control alterations with low back pain may start as an over-protective co-activation strategy in those with standing-induced LBP and progress to an under-protective strategy in those with recurrent low back pain. Level of Evidence: 3.
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Affiliation(s)
- Daniel Viggiani
- Department of Kinesiology, University of Waterloo, Waterloo, ON, Canada
| | | | - Bradley S Davidson
- Department of Mechanical and Materials Engineering, University of Denver, Denver, CO, USA
| | - Jack P Callaghan
- Department of Kinesiology, University of Waterloo, Waterloo, ON, Canada
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31
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Fewster KM, Viggiani D, Gooyers CE, Parkinson RJ, Callaghan JP. Author response: Re: Re: Fewster et al. (2019) Characterizing trunk muscle activations during simulated low-speed rear impact collisions. TRAFFIC INJURY PREVENTION 2019; 20:887-890. [PMID: 31633431 DOI: 10.1080/15389588.2019.1656454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- Kayla M Fewster
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Daniel Viggiani
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
| | - Chad E Gooyers
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
- Biomechanics & Personal Injury, 30 Forensic Engineering, Toronto, Ontario, Canada
| | - Robert J Parkinson
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
- Biomechanics & Personal Injury, 30 Forensic Engineering, Toronto, Ontario, Canada
| | - Jack P Callaghan
- Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada
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32
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Tench CR, Tanasescu R, Constantinescu CS, Cottam WJ, Auer DP. Coordinate based meta-analysis of networks in neuroimaging studies. Neuroimage 2019; 205:116259. [PMID: 31626896 DOI: 10.1016/j.neuroimage.2019.116259] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 09/03/2019] [Accepted: 10/07/2019] [Indexed: 10/25/2022] Open
Abstract
Meta-analysis of summary results from published neuroimaging studies independently testing a common hypothesis is performed using coordinate based meta-analysis (CBMA), which tests for consistent activation (in the case of functional MRI studies) of the same anatomical regions. Using just the reported coordinates it is also possible to meta-analyse coactivated regions to reveal a network-like structure of coordinate clusters (network nodes) distributed at the coactivated locations and a measure of the coactivation strength (network edges), which is determined by the presence/absence of reported activation. Here a new coordinate-based method to estimate a network of coactivations is detailed, which utilises the Z score accompanying each reported. Coordinate based meta-analysis of networks (CBMAN) assumes that if the activation pattern reported by independent studies is truly consistent, then the relative magnitude of these Z scores might also be consistent. It is hypothesised that this is detectable as Z score covariance between coactivated regions provided the within study variances are small. Advantages of using the Z scores instead of coordinates to measure coactivation strength are that censoring by the significance thresholds can be considered, and that using a continuous measure rather than a dichotomous one can increase statistical power. CBMAN uses maximum likelihood estimation to fit multivariate normal distributions to the standardised Z scores, and the covariances are considered as edges of a network of coactivated clusters (nodes). Here it is validated by numerical simulation and demonstrated on real data used previously to demonstrate CBMA. Software to perform CBMAN is freely available.
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Affiliation(s)
- C R Tench
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK; NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK.
| | - Radu Tanasescu
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
| | - C S Constantinescu
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
| | - W J Cottam
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK; Arthritis Research UK Pain Centre, University of Nottingham, Nottingham, UK; Division of Clinical Neuroscience, Radiological Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK.
| | - D P Auer
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK; Arthritis Research UK Pain Centre, University of Nottingham, Nottingham, UK; Division of Clinical Neuroscience, Radiological Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK.
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Tracey I, Woolf CJ, Andrews NA. Composite Pain Biomarker Signatures for Objective Assessment and Effective Treatment. Neuron 2019; 101:783-800. [PMID: 30844399 DOI: 10.1016/j.neuron.2019.02.019] [Citation(s) in RCA: 122] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/05/2019] [Accepted: 02/13/2019] [Indexed: 02/09/2023]
Abstract
Pain is a subjective sensory experience that can, mostly, be reported but cannot be directly measured or quantified. Nevertheless, a suite of biomarkers related to mechanisms, neural activity, and susceptibility offer the possibility-especially when used in combination-to produce objective pain-related indicators with the specificity and sensitivity required for diagnosis and for evaluation of risk of developing pain and of analgesic efficacy. Such composite biomarkers will also provide improved understanding of pain pathophysiology.
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Affiliation(s)
- Irene Tracey
- Nuffield Department of Clinical Neurosciences, University of Oxford, West Wing, John Radcliffe Hospital, Oxford OX3 9DU, UK.
| | - Clifford J Woolf
- Kirby Neurobiology Center, Boston Children's Hospital and Department of Neurobiology, Harvard Medical School, Boston, 02115 MA, USA.
| | - Nick A Andrews
- Kirby Neurobiology Center, Boston Children's Hospital and Department of Neurobiology, Harvard Medical School, Boston, 02115 MA, USA
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34
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Cauda F, Nani A, Manuello J, Premi E, Palermo S, Tatu K, Duca S, Fox PT, Costa T. Brain structural alterations are distributed following functional, anatomic and genetic connectivity. Brain 2019; 141:3211-3232. [PMID: 30346490 DOI: 10.1093/brain/awy252] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 08/22/2018] [Indexed: 12/18/2022] Open
Abstract
The pathological brain is characterized by distributed morphological or structural alterations in the grey matter, which tend to follow identifiable network-like patterns. We analysed the patterns formed by these alterations (increased and decreased grey matter values detected with the voxel-based morphometry technique) conducting an extensive transdiagnostic search of voxel-based morphometry studies in a large variety of brain disorders. We devised an innovative method to construct the networks formed by the structurally co-altered brain areas, which can be considered as pathological structural co-alteration patterns, and to compare these patterns with three associated types of connectivity profiles (functional, anatomical, and genetic). Our study provides transdiagnostical evidence that structural co-alterations are influenced by connectivity constraints rather than being randomly distributed. Analyses show that although all the three types of connectivity taken together can account for and predict with good statistical accuracy, the shape and temporal development of the co-alteration patterns, functional connectivity offers the better account of the structural co-alteration, followed by anatomic and genetic connectivity. These results shed new light on the possible mechanisms at the root of neuropathological processes and open exciting prospects in the quest for a better understanding of brain disorders.
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Affiliation(s)
- Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Enrico Premi
- Stroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy.,Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Sara Palermo
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Karina Tatu
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, Texas, USA.,South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
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35
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Bhatt RR, Gupta A, Rapkin A, Kilpatrick LA, Hamadani K, Pazmany E, Van Oudenhove L, Stains J, Aerts L, Enzlin P, Tillisch K, Mayer EA, Labus JS. Altered gray matter volume in sensorimotor and thalamic regions associated with pain in localized provoked vulvodynia: a voxel-based morphometry study. Pain 2019; 160:1529-1540. [PMID: 30817440 PMCID: PMC6586504 DOI: 10.1097/j.pain.0000000000001532] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Multimodal neuroimaging studies provide support for a role of alterations in sensory processing circuits and endogenous pain modulatory systems in provoked vestibulodynia (PVD). In this study, we tested the hypotheses that PVD compared with healthy controls (HCs) would demonstrate gray matter volume (GMV) alterations in regions associated with sensorimotor, corticothalamic, and basal ganglia circuits. We also tested the replicability of previously reported gray matter increases in basal ganglia and hippocampal volumes in PVD vs HCs. In addition, disease specificity of GMV alterations were examined by comparing PVD with another chronic pain disorder. Finally, we examine whether GMV alterations are correlated with symptom measures. Structural magnetic resonance imaging was obtained in 119 premenopausal women (45 PVD, 45 HCs, and 29 irritable bowel syndrome [IBS]). A voxel-based morphometry analysis was applied to determine group differences in the hypothesized regions of interest. Compared with HCs, PVD women exhibited greater GMV in the basal ganglia, hippocampus, and sensorimotor cortices. Compared to patients with IBS, women with PVD had greater GMV in the hippocampus, and sensorimotor network, but lower GMV in the thalamus and precentral gyrus. Regional GMV alterations were associated with patient reports of pain during intercourse and muscle tenderness. The current findings provide further evidence that GMV is increased in PVD compared with HCs in several regions of the sensorimotor network and the hippocampus in patients with PVD. In addition, GMV distinct alterations in the sensorimotor network were identified between 2 pelvic pain disorders, PVD compared with IBS.
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Affiliation(s)
- Ravi R. Bhatt
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- Pediatric Pain and Palliative Care Program, UCLA
| | - Arpana Gupta
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- David Geffen School of Medicine, UCLA
- UCLA Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA
| | - Andrea Rapkin
- David Geffen School of Medicine, UCLA
- Department of Obstetrics and Gynecology, UCLA
| | - Lisa A. Kilpatrick
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- David Geffen School of Medicine, UCLA
- UCLA Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA
| | - Kareem Hamadani
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
| | - Els Pazmany
- Institute for Family and Sexuality Studies, KU Leuven
| | - Lukas Van Oudenhove
- Translational Research Center for Gastrointestinal Disorders, University of Leuven
| | - Jean Stains
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- David Geffen School of Medicine, UCLA
- UCLA Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA
| | - Leen Aerts
- Institute for Family and Sexuality Studies, KU Leuven
- Geneva University Hospitals
| | - Paul Enzlin
- Institute for Family and Sexuality Studies, KU Leuven
| | - Kirsten Tillisch
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- David Geffen School of Medicine, UCLA
- UCLA Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA
| | - Emeran A. Mayer
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- David Geffen School of Medicine, UCLA
- UCLA Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA
- Brain Research Institute, UCLA
| | - Jennifer S. Labus
- Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, UCLA
- David Geffen School of Medicine, UCLA
- UCLA Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA
- Brain Research Institute, UCLA
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36
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Cauda F, Nani A, Manuello J, Liloia D, Tatu K, Vercelli U, Duca S, Fox PT, Costa T. The alteration landscape of the cerebral cortex. Neuroimage 2019; 184:359-371. [PMID: 30237032 PMCID: PMC7384593 DOI: 10.1016/j.neuroimage.2018.09.036] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 08/24/2018] [Accepted: 09/14/2018] [Indexed: 01/12/2023] Open
Abstract
Growing evidence is challenging the assumption that brain disorders are diagnostically clear-cut categories. Transdiagnostic studies show that a set of cerebral areas is frequently altered in a variety of psychiatric as well as neurological syndromes. In order to provide a map of the altered areas in the pathological brain we devised a metric, called alteration entropy (A-entropy), capable of denoting the "structural alteration variety" of an altered region. Using the whole voxel-based morphometry database of BrainMap, we were able to differentiate the brain areas exhibiting a high degree of overlap between different neuropathologies (or high value of A-entropy) from those exhibiting a low degree of overlap (or low value of A-entropy). The former, which are parts of large-scale brain networks with attentional, emotional, salience, and premotor functions, are thought to be more vulnerable to a great range of brain diseases; while the latter, which include the sensorimotor, visual, inferior temporal, and supramarginal regions, are thought to be more informative about the specific impact of brain diseases. Since low A-entropy areas appear to be altered by a smaller number of brain disorders, they are more informative than the areas characterized by high values of A-entropy. It is also noteworthy that even the areas showing low values of A-entropy are substantially altered by a variety of brain disorders. In fact, no cerebral area appears to be only altered by a specific disorder. Our study shows that the overlap of areas with high A-entropy provides support for a transdiagnostic approach to brain disorders but, at the same time, suggests that fruitful differences can be traced among brain diseases, as some areas can exhibit an alteration profile more specific to certain disorders than to others.
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Affiliation(s)
- Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Karina Tatu
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Ugo Vercelli
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, USA; South Texas Veterans Health Care System, USA
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Department of Psychology, University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
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Low I, Wei SY, Lee PS, Li WC, Lee LC, Hsieh JC, Chen LF. Neuroimaging Studies of Primary Dysmenorrhea. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1099:179-199. [DOI: 10.1007/978-981-13-1756-9_16] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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