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Pinto AM, Luís M, Geenen R, Palavra F, Lumley MA, Ablin JN, Amris K, Branco J, Buskila D, Castelhano J, Castelo-Branco M, Crofford LJ, Fitzcharles MA, Häuser W, Kosek E, López-Solà M, Mease P, Marques TR, Jacobs JWG, Castilho P, da Silva JAP. Neurophysiological and Psychosocial Mechanisms of Fibromyalgia: A Comprehensive Review and Call for An Integrative Model. Neurosci Biobehav Rev 2023:105235. [PMID: 37207842 DOI: 10.1016/j.neubiorev.2023.105235] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 05/07/2023] [Accepted: 05/14/2023] [Indexed: 05/21/2023]
Abstract
Research into the neurobiological and psychosocial mechanisms involved in fibromyalgia has progressed remarkably in recent years. Despite this, current accounts of fibromyalgia fail to capture the complex, dynamic, and mutual crosstalk between neurophysiological and psychosocial domains. We conducted a comprehensive review of the existing literature in order to: a) synthesize current knowledge on fibromyalgia; b) explore and highlight multi-level links and pathways between different systems; and c) build bridges connecting disparate perspectives. An extensive panel of international experts in neurophysiological and psychosocial aspects of fibromyalgia discussed the collected evidence and progressively refined and conceptualized its interpretation. This work constitutes an essential step towards the development of a model capable of integrating the main factors implicated in fibromyalgia into a single, unified construct which appears indispensable to foster the understanding, assessment, and intervention for fibromyalgia.
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Affiliation(s)
- Ana Margarida Pinto
- University of Coimbra, Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Educational Sciences, Rua do Colégio Novo, s/n, 3000-115 Coimbra, Portugal; University of Coimbra, University Clinic of Rheumatology, Faculty of Medicine, Rua Larga - FMUC, Pólo I - Edifício Central, 3004-504 Coimbra, Portugal; University of Coimbra, Psychological Medicine Institute, Faculty of Medicine, Rua Larga - FMUC, Pólo I - Edifício Central, 3004-504 Coimbra, Portugal.
| | - Mariana Luís
- Rheumatology Department, Coimbra Hospital and University Centre, Praceta Mota Pinto, 3004-561 Coimbra, Portugal.
| | - Rinie Geenen
- Department of Psychology, Utrecht University, Martinus J. Langeveldgebouw, Heidelberglaan 1, 3584 CS Utrecht, the Netherlands; Altrecht Psychosomatic Medicine Eikenboom, Vrijbaan 2, 3705 WC Zeist, the Netherlands.
| | - Filipe Palavra
- Centre for Child Development, Neuropediatric Unit. Pediatric Hospital, Coimbra Hospital and University Centre, Avenida Afonso Romão, 3000-602 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (i.CBR), Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal.
| | - Mark A Lumley
- Department of Psychology, Wayne State University, 5057 Woodward Ave., Suite 7908, Detroit, MI 48202, USA.
| | - Jacob N Ablin
- Internal Medicine H, Tel-Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Sackler School of Medicine, Tel Aviv University, Ramat Aviv 69978, Israel.
| | - Kirstine Amris
- The Parker Institute, Department of Rheumatology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Nordre Fasanvej 57, 2000 Frederiksberg, Denmark.
| | - Jaime Branco
- Rheumatology Department, Egas Moniz Hospital - Lisboa Ocidental Hospital Centre (CHLO-EPE), R. da Junqueira 126, 1349-019 Lisbon, Portugal; Comprehensive Health Research Center (CHRC), Chronic Diseases Research Centre (CEDOC), NOVA Medical School, NOVA University Lisbon (NMS/UNL), Campo Mártires da Pátria 130, 1169-056 Lisbon, Portugal.
| | - Dan Buskila
- Ben Gurion University of the Negev Beer-Sheba, Israel.
| | - João Castelhano
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), ICNAS, Edifício do ICNAS, Polo 3, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal, Portugal.
| | - Miguel Castelo-Branco
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), ICNAS, Edifício do ICNAS, Polo 3, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal, Portugal.
| | - Leslie J Crofford
- Division of Rheumatology and Immunology, Department of Medicine, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN 37232, USA.
| | - Mary-Ann Fitzcharles
- Division of Rheumatology, Department of Medicine, McGill University, 1650 Cedar Ave, Montreal, Quebec, Canada, H3G 1A4.
| | - Winfried Häuser
- Department Psychosomatic Medicine and Psychotherapy, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany.
| | - Eva Kosek
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm 171 77, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
| | - Marina López-Solà
- Serra Hunter Programme, Department of Medicine and Health Sciences, University of Barcelona.
| | - Philip Mease
- Swedish Medical Center/Providence St. Joseph Health, Seattle, WA, USA; University of Washington School of Medicine, Seattle, WA, USA.
| | - Tiago Reis Marques
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences (LMS), Hammersmith Hospital, Imperial College London, South Kensington, London SW7 2BU, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, Strand, London WC2R 2LS, UK.
| | - Johannes W G Jacobs
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
| | - Paula Castilho
- University of Coimbra, Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Educational Sciences, Rua do Colégio Novo, s/n, 3000-115 Coimbra, Portugal.
| | - José A P da Silva
- University of Coimbra, University Clinic of Rheumatology, Faculty of Medicine, Rua Larga - FMUC, Pólo I - Edifício Central, 3004-504 Coimbra, Portugal; Rheumatology Department, Coimbra Hospital and University Centre, Praceta Mota Pinto, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (i.CBR), Faculty of Medicine, University of Coimbra, Azinhaga Santa Comba, 3000-548 Coimbra, Portugal
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Zou Y, Tang W, Qiao X, Li J. Aberrant modulations of static functional connectivity and dynamic functional network connectivity in chronic migraine. Quant Imaging Med Surg 2021; 11:2253-2264. [PMID: 34079699 DOI: 10.21037/qims-20-588] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Chronic migraine (CM) is a common and disabling neurological disorder that affects 1-2% of the global population. The aim of the present study was to identify the functional characteristics of the CM brain using static functional connectivity (s-FC), static functional network connectivity (s-FNC), and dynamic functional network connectivity (d-FNC) analyses. Methods In the present study, 17 CM patients and 20 sex- and age-matched healthy controls (HCs) underwent resting-state functional magnetic resonance imaging. We utilized independent component (IC) analysis to identify 13 ICs. These 13 ICs were then classified into the following 6 resting-state networks (RSNs): the default mode network (DMN), executive control network (ECN), dorsal attention network, auditory network (AN), visual network (VN), and cerebellum network. Subsequently, s-FC, s-FNC, and d-FNC analyses of 13 ICs were employed for between-group comparisons. Three temporal metrics (fraction of time spent, mean dwell time, and number of transitions), which were derived from the state-transition vector, were calculated for group comparisons. In addition, correlation analyses were performed between these dynamic metrics and clinical characteristics [mean visual analog scale (VAS) scores, days with headache per month, days with migraine pain feature per month, and disease duration]. Results In the comparison of s-FC of 13 ICs within RSNs between the CM and HC groups, increased connectivity was observed in the left angular gyrus (Angular_L) of the ECN (IC 2) and the right superior parietal gyrus (Parietal_Sup_R) of the AN (IC 5), and reduced connectivity was found in the left superior frontal gyrus (Frontal_Sup_2_L) of the AN (IC 5) and DMN (IC 19), the right calcarine sulcus (Calcarine_R) of the VN (IC 7), and the left precuneus (Precuneus_L) of the DMN (IC 17) in CM patients. In the comparison of the d-FNC of 13 IC pairs within RSNs between the two groups, the CM group exhibited significantly decreased connections between the DMN (IC 11) and AN (IC 5), and increased connections between the ECN (IC 2, IC 4) and DMN (IC 19), ECN (IC 4) and AN (IC 5), and ECN (IC 4) and VN (IC 13) in state 1. However, no significant differences in s-FNC were observed between the two groups during the s-FNC analysis. Between-group comparisons of three dynamic metrics between the CM and HC groups showed a longer fraction of time spent and mean dwell time in state 2 for CM patients. Furthermore, from the correlation analyses between these metrics and clinical characteristics, we observed a significant positive correlation between the number of transitions and mean VAS scores. Conclusions Our findings suggest that functional features of the CM brain may fluctuate over time instead of remaining static, and provide further evidence that migraine chronification may be related to abnormal pattern connectivity between sensory and cognitive brain networks.
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Affiliation(s)
- Yan Zou
- Department of Integrated Traditional and Western Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Weijun Tang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiangyang Qiao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ji Li
- Department of Integrated Traditional and Western Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Sandri A, Cecchini MP, Riello M, Zanini A, Nocini R, Fiorio M, Tinazzi M. Pain, Smell, and Taste in Adults: A Narrative Review of Multisensory Perception and Interaction. Pain Ther 2021; 10:245-268. [PMID: 33635507 PMCID: PMC8119564 DOI: 10.1007/s40122-021-00247-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 02/13/2021] [Indexed: 12/31/2022] Open
Abstract
Every day our sensory systems perceive and integrate a variety of stimuli containing information vital for our survival. Pain acts as a protective warning system, eliciting a response to remove harmful stimuli; it may also be a symptom of an illness or present as a disease itself. There is a growing need for additional pain-relieving therapies involving the multisensory integration of smell and taste in pain modulation, an approach that may provide new strategies for the treatment and management of pain. While pain, smell, and taste share common features and are strongly linked to emotion and cognition, their interaction has been poorly explored. In this review, we provide an overview of the literature on pain modulation by olfactory and gustatory substances. It includes adult human studies investigating measures of pain threshold, tolerance, intensity, and/or unpleasantness. Due to the limited number of studies currently available, we have structured this review as a narrative in which we comment on experimentally induced and clinical pain separately on pain–smell and pain–taste interaction. Inconsistent study findings notwithstanding, pain, smell, and taste seem to interact at both the behavioral and the neural levels. Pain intensity and unpleasantness seem to be affected more by olfactory substances, whereas pain threshold and tolerance are influenced by gustatory substances. Few pilot studies to date have investigated these effects in clinical populations. While the current results are promising for the future, more evidence is needed to elucidate the link between the chemical senses and pain. Doing so has the potential to improve and develop novel options for pain treatment.
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Affiliation(s)
- Angela Sandri
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Maria Paola Cecchini
- Anatomy and Histology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Marianna Riello
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Alice Zanini
- Anatomy and Histology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Riccardo Nocini
- Otolaryngology Section, Department of Surgery, Dentistry, Paediatrics and Gynaecology , University of Verona, Verona, Italy
| | - Mirta Fiorio
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Michele Tinazzi
- Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
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Scott NO, Burgess B, Tepper BJ. Perception and liking of soups flavored with chipotle chili and ginger extracts: Effects of PROP taster status, personality traits and emotions. Food Qual Prefer 2019. [DOI: 10.1016/j.foodqual.2018.11.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Shen W, Tu Y, Gollub RL, Ortiz A, Napadow V, Yu S, Wilson G, Park J, Lang C, Jung M, Gerber J, Mawla I, Chan ST, Wasan AD, Edwards RR, Kaptchuk T, Li S, Rosen B, Kong J. Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study. NEUROIMAGE-CLINICAL 2019; 22:101775. [PMID: 30927604 PMCID: PMC6444301 DOI: 10.1016/j.nicl.2019.101775] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 01/22/2019] [Accepted: 03/10/2019] [Indexed: 01/04/2023]
Abstract
Chronic low back pain (cLBP) is associated with widespread functional and structural changes in the brain. This study aims to investigate the resting state functional connectivity (rsFC) changes of visual networks in cLBP patients and the feasibility of distinguishing cLBP patients from healthy controls using machine learning methods. cLBP (n = 90) and control individuals (n = 74) were enrolled and underwent resting-state BOLD fMRI scans. Primary, dorsal, and ventral visual networks derived from independent component analysis were used as regions of interest to compare resting state functional connectivity changes between the cLBP patients and healthy controls. We then applied a support vector machine classifier to distinguish the cLBP patients and control individuals. These results were further verified in a new cohort of subjects. We found that the functional connectivity between the primary visual network and the somatosensory/motor areas were significantly enhanced in cLBP patients. The rsFC between the primary visual network and S1 was negatively associated with duration of cLBP. In addition, we found that the rsFC of the visual network could achieve a classification accuracy of 79.3% in distinguishing cLBP patients from HCs, and these results were further validated in an independent cohort of subjects (accuracy = 66.7%). Our results demonstrate significant changes in the rsFC of the visual networks in cLBP patients. We speculate these alterations may represent an adaptation/self-adjustment mechanism and cross-model interaction between the visual, somatosensory, motor, attention, and salient networks in response to cLBP. Elucidating the role of the visual networks in cLBP may shed light on the pathophysiology and development of the disorder. We investigated rsFC changes of visual networks in cLBP patients. rsFC of the primary visual network with S1 and M1 increased in cLBP patients. rsFC of the visual networks can differentiate cLBP patients from controls (with 79.3% accuracy). Classification results can be validated in an independent cohort (with 66.7% accuracy).
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Affiliation(s)
- Wei Shen
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; First Affiliated Hospital of Hainan Medical College, Hainan Medical University, Haikou, Hainan, China
| | - Yiheng Tu
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Randy L Gollub
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ana Ortiz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Vitaly Napadow
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Siyi Yu
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Georgia Wilson
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joel Park
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Courtney Lang
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Minyoung Jung
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica Gerber
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Ishtiaq Mawla
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Suk-Tak Chan
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Ajay D Wasan
- Department of Anesthesiology, Center for Pain Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert R Edwards
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ted Kaptchuk
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Shasha Li
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bruce Rosen
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jian Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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