1
|
Noh E, Namgung JY, Park Y, Jang Y, Lee MJ, Park BY. Shifts in structural connectome organization in the limbic and sensory systems of patients with episodic migraine. J Headache Pain 2024; 25:99. [PMID: 38862883 PMCID: PMC11165833 DOI: 10.1186/s10194-024-01806-2] [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: 03/29/2024] [Accepted: 06/06/2024] [Indexed: 06/13/2024] Open
Abstract
Migraine is a complex neurological condition characterized by recurrent headaches, which is often accompanied by various neurological symptoms. Magnetic resonance imaging (MRI) is a powerful tool for investigating whole-brain connectivity patterns; however, systematic assessment of structural connectome organization has rarely been performed. In the present study, we aimed to examine the changes in structural connectivity in patients with episodic migraines using diffusion MRI. First, we computed structural connectivity using diffusion MRI tractography, after which we applied dimensionality reduction techniques to the structural connectivity and generated three low-dimensional eigenvectors. We subsequently calculated the manifold eccentricity, defined as the Euclidean distance between each data point and the center of the data in the manifold space. We then compared the manifold eccentricity between patients with migraines and healthy controls, revealing significant between-group differences in the orbitofrontal cortex, temporal pole, and sensory/motor regions. Between-group differences in subcortico-cortical connectivity further revealed significant changes in the amygdala, accumbens, and caudate nuclei. Finally, supervised machine learning effectively classified patients with migraines and healthy controls using cortical and subcortical structural connectivity features, highlighting the importance of the orbitofrontal and sensory cortices, in addition to the caudate, in distinguishing between the groups. Our findings confirmed that episodic migraine is related to the structural connectome changes in the limbic and sensory systems, suggesting its potential utility as a diagnostic marker for migraine.
Collapse
Affiliation(s)
- Eunchan Noh
- College of Medicine, Inha University, Incheon, Republic of Korea
| | | | - Yeongjun Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Yurim Jang
- Department of Statistics and Data Science, Inha University, Incheon, Republic of Korea
| | - Mi Ji Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Bo-Yong Park
- Department of Data Science, Inha University, Incheon, Republic of Korea.
- Department of Statistics and Data Science, Inha University, Incheon, Republic of Korea.
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea.
| |
Collapse
|
2
|
Lim M, Kim DJ, Nascimento TD, DaSilva AF. High-definition tDCS over primary motor cortex modulates brain signal variability and functional connectivity in episodic migraine. Clin Neurophysiol 2024; 161:101-111. [PMID: 38460220 DOI: 10.1016/j.clinph.2024.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 03/11/2024]
Abstract
OBJECTIVE This study investigated how high-definition transcranial direct current stimulation (HD-tDCS) over the primary motor cortex (M1) affects brain signal variability and functional connectivity in the trigeminal pain pathway, and their association with changes in migraine attacks. METHODS Twenty-five episodic migraine patients were randomized for ten daily sessions of active or sham M1 HD-tDCS. Resting-state blood-oxygenation-level-dependent (BOLD) signal variability and seed-based functional connectivity were assessed pre- and post-treatment. A mediation analysis was performed to test whether BOLD signal variability mediates the relationship between treatment group and moderate-to-severe headache days. RESULTS The active M1 HD-tDCS group showed reduced BOLD variability in the spinal trigeminal nucleus (SpV) and thalamus, but increased variability in the rostral anterior cingulate cortex (rACC) compared to the sham group. Connectivity decreased between medial pulvinar-temporal pole, medial dorsal-precuneus, and the ventral posterior medial nucleus-SpV, but increased between the rACC-amygdala, and the periaqueductal gray-parahippocampal gyrus. Changes in medial pulvinar variability mediated the reduction in moderate-to-severe headache days at one-month post-treatment. CONCLUSIONS M1 HD-tDCS alters BOLD signal variability and connectivity in the trigeminal somatosensory and modulatory pain system, potentially alleviating migraine headache attacks. SIGNIFICANCE M1 HD-tDCS realigns brain signal variability and connectivity in migraineurs closer to healthy control levels.
Collapse
Affiliation(s)
- Manyoel Lim
- Food Processing Research Group, Korea Food Research Institute, Wanju-gun, Jeollabuk-do 55365, Republic of Korea; Department of Biologic and Materials Sciences & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI 48109, USA
| | - Dajung J Kim
- Department of Biologic and Materials Sciences & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI 48109, USA
| | - Thiago D Nascimento
- Department of Biologic and Materials Sciences & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI 48109, USA
| | - Alexandre F DaSilva
- Department of Biologic and Materials Sciences & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI 48109, USA; Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109, USA.
| |
Collapse
|
3
|
Li ML, Zhang F, Chen YY, Luo HY, Quan ZW, Wang YF, Huang LT, Wang JH. A state-of-the-art review of functional magnetic resonance imaging technique integrated with advanced statistical modeling and machine learning for primary headache diagnosis. Front Hum Neurosci 2023; 17:1256415. [PMID: 37746052 PMCID: PMC10513061 DOI: 10.3389/fnhum.2023.1256415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 08/14/2023] [Indexed: 09/26/2023] Open
Abstract
Primary headache is a very common and burdensome functional headache worldwide, which can be classified as migraine, tension-type headache (TTH), trigeminal autonomic cephalalgia (TAC), and other primary headaches. Managing and treating these different categories require distinct approaches, and accurate diagnosis is crucial. Functional magnetic resonance imaging (fMRI) has become a research hotspot to explore primary headache. By examining the interrelationships between activated brain regions and improving temporal and spatial resolution, fMRI can distinguish between primary headaches and their subtypes. Currently the most commonly used is the cortical brain mapping technique, which is based on blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI). This review sheds light on the state-of-the-art advancements in data analysis based on fMRI technology for primary headaches along with their subtypes. It encompasses not only the conventional analysis methodologies employed to unravel pathophysiological mechanisms, but also deep-learning approaches that integrate these techniques with advanced statistical modeling and machine learning. The aim is to highlight cutting-edge fMRI technologies and provide new insights into the diagnosis of primary headaches.
Collapse
Affiliation(s)
- Ming-Lin Li
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Fei Zhang
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yi-Yang Chen
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- Department of Family Medicine, Liaoning Health Industry Group Fukuang General Hospital, Fushun, Liaoning, China
| | - Han-Yong Luo
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Zi-Wei Quan
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yi-Fei Wang
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Le-Tian Huang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jia-He Wang
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| |
Collapse
|
4
|
Marino S, Jassar H, Kim DJ, Lim M, Nascimento TD, Dinov ID, Koeppe RA, DaSilva AF. Classifying migraine using PET compressive big data analytics of brain's μ-opioid and D2/D3 dopamine neurotransmission. Front Pharmacol 2023; 14:1173596. [PMID: 37383727 PMCID: PMC10294712 DOI: 10.3389/fphar.2023.1173596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 05/26/2023] [Indexed: 06/30/2023] Open
Abstract
Introduction: Migraine is a common and debilitating pain disorder associated with dysfunction of the central nervous system. Advanced magnetic resonance imaging (MRI) studies have reported relevant pathophysiologic states in migraine. However, its molecular mechanistic processes are still poorly understood in vivo. This study examined migraine patients with a novel machine learning (ML) method based on their central μ-opioid and dopamine D2/D3 profiles, the most critical neurotransmitters in the brain for pain perception and its cognitive-motivational interface. Methods: We employed compressive Big Data Analytics (CBDA) to identify migraineurs and healthy controls (HC) in a large positron emission tomography (PET) dataset. 198 PET volumes were obtained from 38 migraineurs and 23 HC during rest and thermal pain challenge. 61 subjects were scanned with the selective μ-opioid receptor (μOR) radiotracer [11C]Carfentanil, and 22 with the selective dopamine D2/D3 receptor (DOR) radiotracer [11C]Raclopride. PET scans were recast into a 1D array of 510,340 voxels with spatial and intensity filtering of non-displaceable binding potential (BPND), representing the receptor availability level. We then performed data reduction and CBDA to power rank the predictive brain voxels. Results: CBDA classified migraineurs from HC with accuracy, sensitivity, and specificity above 90% for whole-brain and region-of-interest (ROI) analyses. The most predictive ROIs for μOR were the insula (anterior), thalamus (pulvinar, medial-dorsal, and ventral lateral/posterior nuclei), and the putamen. The latter, putamen (anterior), was also the most predictive for migraine regarding DOR D2/D3 BPND levels. Discussion: CBDA of endogenous μ-opioid and D2/D3 dopamine dysfunctions in the brain can accurately identify a migraine patient based on their receptor availability across key sensory, motor, and motivational processing regions. Our ML-based findings in the migraineur's brain neurotransmission partly explain the severe impact of migraine suffering and associated neuropsychiatric comorbidities.
Collapse
Affiliation(s)
- Simeone Marino
- Statistics Online Computational Resource, Department of Health Behavior and Biological Sciences, University of Michigan, Ann Arbor, MI, United States
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
| | - Hassan Jassar
- The Michigan Neuroscience Institute (MNI), University of Michigan, Ann Arbor, MI, United States
- Headache and Orofacial Pain Effort (H.O.P.E.) Laboratory, Department of Biologic and Materials Sciences and Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, United States
| | - Dajung J. Kim
- The Michigan Neuroscience Institute (MNI), University of Michigan, Ann Arbor, MI, United States
- Headache and Orofacial Pain Effort (H.O.P.E.) Laboratory, Department of Biologic and Materials Sciences and Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, United States
| | - Manyoel Lim
- The Michigan Neuroscience Institute (MNI), University of Michigan, Ann Arbor, MI, United States
- Headache and Orofacial Pain Effort (H.O.P.E.) Laboratory, Department of Biologic and Materials Sciences and Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, United States
| | - Thiago D. Nascimento
- The Michigan Neuroscience Institute (MNI), University of Michigan, Ann Arbor, MI, United States
- Headache and Orofacial Pain Effort (H.O.P.E.) Laboratory, Department of Biologic and Materials Sciences and Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, United States
| | - Ivo D. Dinov
- Statistics Online Computational Resource, Department of Health Behavior and Biological Sciences, University of Michigan, Ann Arbor, MI, United States
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States
- Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States
| | - Robert A. Koeppe
- Department of Radiology, Division of Nuclear Medicine, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Alexandre F. DaSilva
- The Michigan Neuroscience Institute (MNI), University of Michigan, Ann Arbor, MI, United States
- Headache and Orofacial Pain Effort (H.O.P.E.) Laboratory, Department of Biologic and Materials Sciences and Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, United States
| |
Collapse
|
5
|
Hunt CA, Letzen JE, Krimmel SR, Burrowes SAB, Haythornthwaite JA, Keaser M, Reid M, Finan PH, Seminowicz DA. Meditation Practice, Mindfulness, and Pain-Related Outcomes in Mindfulness-Based Treatment for Episodic Migraine. Mindfulness (N Y) 2023; 14:769-783. [PMID: 38435377 PMCID: PMC10907069 DOI: 10.1007/s12671-023-02105-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/04/2023] [Indexed: 04/07/2023]
Abstract
Objectives Mindfulness-based interventions (MBIs) have emerged as promising prophylactic episodic migraine treatments. The present study investigated biopsychosocial predictors and outcomes associated with formal, daily-life meditation practice in migraine patients undergoing MBI, and whether augmented mindfulness mechanistically underlies change. Methods Secondary analyses of clinical trial data comparing a 12-week enhanced mindfulness-based stress reduction course (MBSR + ; n = 50) to stress management for headache (SMH; n = 48) were conducted. Results Pre-treatment mesocorticolimbic system functioning (i.e., greater resting state ventromedial prefrontal cortex-right nucleus accumbens [vmPFC-rNAC] functional connectivity) predicted greater meditation practice duration over MBSR + (r = 0.58, p = 0.001), as well as the change in headache frequency from pre- to post-treatment (B = -12.60, p = 0.02) such that MBSR + participants with greater vmPFC-rNAC connectivity showed greater reductions in headache frequency. MBSR + participants who meditated more showed greater increases in mindfulness (B = 0.52, p = 0.02) and reductions in the helplessness facet of pain catastrophizing (B = -0.13, p = 0.01), but not headache frequency, severity, or impact. Augmented mindfulness mediated reductions in headache impact resulting from MBSR + , but not headache frequency. Conclusions Mesocorticolimbic system function is implicated in motivated behavior, and thus, motivation-enhancing interventions might be delivered alongside mindfulness-based training to enhance meditation practice engagement. Formal, daily-life meditation practice duration appears to benefit pain-related cognitions, but not clinical pain, while mindfulness emerges as a mechanism of MBIs on headache impact, but not frequency. Further research is needed to investigate the day-to-day effects of formal, daily-life meditation practice on pain, and continue to characterize the specific mechanisms of MBIs on headache outcomes. Preregistration This study is not preregistered.
Collapse
Affiliation(s)
- Carly A. Hunt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Anesthesiology, University of Virginia, VA, Charlottesville, USA
| | - Janelle E. Letzen
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Samuel R. Krimmel
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Shana A. B. Burrowes
- Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, MA 02218, USA
- Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, Baltimore, MD 21201, USA
| | - Jennifer A. Haythornthwaite
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael Keaser
- Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, Baltimore, MD 21201, USA
- Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, MD 21201, USA
| | - Matthew Reid
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Patrick H. Finan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Anesthesiology, University of Virginia, VA, Charlottesville, USA
| | - David A. Seminowicz
- Department of Neural and Pain Sciences, School of Dentistry, University of Maryland Baltimore, Baltimore, MD 21201, USA
- Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, MD 21201, USA
| |
Collapse
|
6
|
Schramm S, Börner C, Reichert M, Baum T, Zimmer C, Heinen F, Bonfert MV, Sollmann N. Functional magnetic resonance imaging in migraine: A systematic review. Cephalalgia 2023; 43:3331024221128278. [PMID: 36751858 DOI: 10.1177/03331024221128278] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
BACKGROUND Migraine is a highly prevalent primary headache disorder. Despite a high burden of disease, key disease mechanisms are not entirely understood. Functional magnetic resonance imaging is an imaging method using the blood-oxygen-level-dependent signal, which has been increasingly used in migraine research over recent years. This systematic review summarizes recent findings employing functional magnetic resonance imaging for the investigation of migraine. METHODS We conducted a systematic search and selection of functional magnetic resonance imaging applications in migraine from April 2014 to December 2021 (PubMed and references of identified articles according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines). Methodological details and main findings were extracted and synthesized. RESULTS Out of 224 articles identified, 114 were included after selection. Repeatedly emerging structures of interest included the insula, brainstem, limbic system, hypothalamus, thalamus, and functional networks. Assessment of functional brain changes in response to treatment is emerging, and machine learning has been used to investigate potential functional magnetic resonance imaging-based markers of migraine. CONCLUSIONS A wide variety of functional magnetic resonance imaging-based metrics were found altered across the brain for heterogeneous migraine cohorts, partially correlating with clinical parameters and supporting the concept to conceive migraine as a brain state. However, a majority of findings from previous studies have not been replicated, and studies varied considerably regarding image acquisition and analyses techniques. Thus, while functional magnetic resonance imaging appears to have the potential to advance our understanding of migraine pathophysiology, replication of findings in large representative datasets and precise, standardized reporting of clinical data would likely benefit the field and further increase the value of observations.
Collapse
Affiliation(s)
- Severin Schramm
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Corinna Börner
- LMU Hospital, Dr. von Hauner Children's Hospital, Department of Pediatric Neurology and Developmental Medicine, Munich, Germany.,LMU Center for Children with Medical Complexity, iSPZ Hauner, Ludwig Maximilian University, Munich, Germany
| | - Miriam Reichert
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Florian Heinen
- LMU Hospital, Dr. von Hauner Children's Hospital, Department of Pediatric Neurology and Developmental Medicine, Munich, Germany
| | - Michaela V Bonfert
- LMU Hospital, Dr. von Hauner Children's Hospital, Department of Pediatric Neurology and Developmental Medicine, Munich, Germany.,LMU Center for Children with Medical Complexity, iSPZ Hauner, Ludwig Maximilian University, Munich, Germany
| | - Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| |
Collapse
|
7
|
Kędziora M, Boccella S, Marabese I, Mlost J, Infantino R, Maione S, Starowicz K. Inhibition of anandamide breakdown reduces pain and restores LTP and monoamine levels in the rat hippocampus via the CB 1 receptor following osteoarthritis. Neuropharmacology 2023; 222:109304. [PMID: 36341807 DOI: 10.1016/j.neuropharm.2022.109304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 07/15/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
Chronic pain is a persistent, complex condition that contributes to impaired mood, anxiety and emotional problems. Osteoarthritis (OA) is one of the major causes of chronic pain in adults and elderly people. A substantial body of evidence demonstrate that hippocampal neural circuits, especially monoamine dopamine and serotonin levels, contributes to negative affect and avoidance motivation experienced during pain. Current pharmacological strategies for OA patients are unsatisfying and the endocannabinoid system modulation might represent an alternative for the treatment of OA-related pain. In the present study, we used a rat model of osteoarthritis induced by intra-articular injection of sodium monoiodoacetate to assess, 28 days post-induction, the contribution of endocannabinoid system on the possible alteration in pain perception and affective behavior, in LTP and monoamine levels in the lateral entorhinal cortex-dentate gyrus pathway. The results show that OA-related chronic pain induces working memory impairment and depressive-like behavior appearance, diminishes LTP, decreases dopamine levels and increases serotonin levels in the rat dentate gyrus. URB597 administration (i.p., 1 mg/kg) reduces hyperalgesia and mechanical allodynia, improves recognition memory and depressive-live behavior, restores LTP and normalizes monoamine levels in the hippocampus. The effect was observed 60-120 min post-treatment and was blocked by AM251, which proves the action of URB597 via the CB1 receptor. Therefore, our study confirms the role of anandamide in OA-related chronic pain management at the behavioral and hippocampal levels. This article is part of the Special Issue on 'Advances in mechanisms and therapeutic targets relevant to pain'.
Collapse
Affiliation(s)
- Marta Kędziora
- Department of Neurochemistry, Maj Institute of Pharmacology, Polish Academy of Sciences, Cracow, Poland
| | - Serena Boccella
- Department of Experimental Medicine, Division of Pharmacology, University of Campania "L. Vanvitelli", Naples, Italy
| | - Ida Marabese
- Department of Experimental Medicine, Division of Pharmacology, University of Campania "L. Vanvitelli", Naples, Italy
| | - Jakub Mlost
- Department of Neurochemistry, Maj Institute of Pharmacology, Polish Academy of Sciences, Cracow, Poland
| | - Rosmara Infantino
- Department of Experimental Medicine, Division of Pharmacology, University of Campania "L. Vanvitelli", Naples, Italy
| | - Sabatino Maione
- Department of Experimental Medicine, Division of Pharmacology, University of Campania "L. Vanvitelli", Naples, Italy; IRCSS, Neuromed, Pozzilli (IS), 86077, Italy; ERG, Endocannabinoid Research Group, CNR, Pozzuoli, Italy
| | - Katarzyna Starowicz
- Department of Neurochemistry, Maj Institute of Pharmacology, Polish Academy of Sciences, Cracow, Poland.
| |
Collapse
|
8
|
Zhu Y, Dai L, Zhao H, Ji B, Yu Y, Dai H, Hu C, Wang X, Ke J. Alterations in Effective Connectivity of the Hippocampus in Migraine without Aura. J Pain Res 2021; 14:3333-3343. [PMID: 34707401 PMCID: PMC8544273 DOI: 10.2147/jpr.s327945] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 10/04/2021] [Indexed: 12/12/2022] Open
Abstract
Purpose Neuroimaging studies on migraine have revealed structural and functional alterations in the hippocampus, a region involved in pain processing and stress response. This study was designed to investigate whether effective connectivity of this region is disrupted in migraine and relates to chronicity of this disease. Patients and Methods In 39 episodic migraine (EM) patients, 17 chronic migraine (CM) patients, and 35 healthy controls, we investigated differences in the directional influences between the hippocampus and the rest of the brain by combining resting-state functional magnetic resonance imaging and Granger causality analysis (GCA), with bilateral hippocampus as seed regions. The associations between directional influences and the clinical variables were also examined. Results Comparing each patient group to the control group, we found increased and decreased negative influence on the hippocampus exerted by the bilateral visual areas and right dorsolateral prefrontal cortex (dlPFC), respectively. The hippocampus showed increased positive influence on the right posterior insula and medial prefrontal cortex (mPFC), as well as increased negative influence on the left cerebellum in CM patients relative to EM patients and healthy controls. Furthermore, across all patients, the migraine frequency exhibited a positive and negative association with causal influence from the hippocampus to mPFC and left cerebellum, respectively. Conclusion Migraine patients have abnormal effective connectivity between the hippocampus and multiple brain regions involved in the sensory and cognitive processing of pain. Disrupted directional influences to the hippocampus exerted by dlPFC and bilateral visual areas were common features of EM and CM patients. Directional influences from the hippocampus to mPFC and left cerebellum may be useful imaging biomarkers for assessing migraine frequency.
Collapse
Affiliation(s)
- Yadi Zhu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Lingling Dai
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Hongru Zhao
- Department of Neurology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Boan Ji
- Medical School of Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Yang Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Hui Dai
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Ximing Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| | - Jun Ke
- Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, Jiangsu Province, People's Republic of China.,Institute of Medical Imaging, Soochow University, Soochow, Jiangsu Province, People's Republic of China
| |
Collapse
|
9
|
Scrivani SJ, Keith DA, Kulich RJ, DaSilva AF, Donoff RB, Handa S, Holland N, Lerman MA, McCauley JL, Reisner L, Resnick CM, Stohler CS, Vasciannie A, Fortino M, Schatman ME. Pain Management for Dental Medicine in 2021: Opioids, Coronavirus and Beyond. J Pain Res 2021; 14:1371-1387. [PMID: 34079355 PMCID: PMC8164473 DOI: 10.2147/jpr.s319373] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 05/12/2021] [Indexed: 12/15/2022] Open
Abstract
Over the past year our attention has inevitably been on the coronavirus pandemic, the health and welfare of our families, patients, and office staffs as well as the re-opening of our dental practices. In addition, the opioid crisis continues, is very likely to worsen as a result of the pandemic and continues to be a challenge to Dentistry. National public health issues and healthcare disparities continue and have created a global concern for providing evidence-based, adequate pain management in the dental setting. We have brought together a group of national thought leaders and experts in this field who will share their insights on the current state of opioid prescribing in Dentistry and describe some of the exciting work being done in advancing pain management. The learning objectives for this conference proceedings were: Describing the implications of current public health concerns for safe and effective pain management in dental medicine.Identifying risk factors and understanding the current guidelines for the use of opioid and non-opioid medications in dental medicine.Analyzing the interprofessional collaborations necessary for effective pain management in dental medicine.Recognizing the challenges and opportunities brought about by the COVID-19 pandemic for the dental profession.Applying evidence-based strategies for managing the complex pain patient in the dental setting.Appraising new and future modalities for the assessment and management of orofacial pain.
Collapse
Affiliation(s)
- Steven J Scrivani
- Department of Diagnostic Sciences, Craniofacial Pain and Headache Center, Tufts University School of Dental Medicine, Boston, MA, USA
| | - David A Keith
- Oral and Maxillofacial Surgery, Harvard School of Dental Medicine, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Ronald J Kulich
- Department of Diagnostic Sciences, Craniofacial Pain and Headache Center, Tufts University School of Dental Medicine, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Alexandre F DaSilva
- Department of Biological and Material Sciences & Prosthodontics, University of Michigan School of Dentistry, Headache and Orofacial Pain Effort, University of Michigan, Ann Harbor, MI, USA
- fNIRS Laboratory, University of Michigan, Ann Harbor, MI, USA
| | - R Bruce Donoff
- Oral and Maxillofacial Surgery, Harvard School of Dental Medicine, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Shruti Handa
- Oral and Maxillofacial Surgery, Harvard School of Dental Medicine, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Nicole Holland
- Department of Public Health and Community Service, Tufts University School of Dental Medicine, Boston, MA, USA
| | - Mark A Lerman
- Department of Diagnostic Sciences, Tufts University School of Dental Medicine, Boston, MA, USA
| | - Jenna L McCauley
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Lori Reisner
- Department of Pharmaceutical Services, School of Pharmacy University of California, San Francisco, CA, USA
- Department of Clinical Pharmacy, San Francisco Medical Center, San Francisco, CA, USA
| | - Cory M Resnick
- Department of Plastic and Oral Surgery, Boston Children’s Hospital, Boston, MA, USA
- Harvard School of Dental Medicine, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Christian S Stohler
- Columbia University College of Dental Medicine, New York, NY, USA
- Columbia University Medical Center, New York, NY, USA
| | - Alexis Vasciannie
- Department of Diagnostic Sciences, Craniofacial Pain and Headache Center, Tufts University School of Dental Medicine, Boston, MA, USA
| | - Matthew Fortino
- Department of Diagnostic Sciences, Craniofacial Pain and Headache Center, Tufts University School of Dental Medicine, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Michael E Schatman
- Department of Diagnostic Sciences, Craniofacial Pain and Headache Center, Tufts University School of Dental Medicine, Boston, MA, USA
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Boston, MA, USA
- School of Social Work, North Carolina State University, Raleigh, NC, USA
| |
Collapse
|