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Islam J, Rahman MT, Kc E, Park YS. Deciphering the functional role of insular cortex stratification in trigeminal neuropathic pain. J Headache Pain 2024; 25:76. [PMID: 38730344 PMCID: PMC11084050 DOI: 10.1186/s10194-024-01784-5] [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: 03/12/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024] Open
Abstract
Trigeminal neuropathic pain (TNP) is a major concern in both dentistry and medicine. The progression from normal to chronic TNP through activation of the insular cortex (IC) is thought to involve several neuroplastic changes in multiple brain regions, resulting in distorted pain perception and associated comorbidities. While the functional changes in the insula are recognized contributors to TNP, the intricate mechanisms underlying the involvement of the insula in TNP processing remain subjects of ongoing investigation. Here, we have overviewed the most recent advancements regarding the functional role of IC in regulating TNP alongside insights into the IC's connectivity with other brain regions implicated in trigeminal pain pathways. In addition, the review examines diverse modulation strategies that target the different parts of the IC, thereby suggesting novel diagnostic and therapeutic management of chronic TNP in the future.
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Affiliation(s)
- Jaisan Islam
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea
| | - Md Taufiqur Rahman
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea
| | - Elina Kc
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Young Seok Park
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Korea.
- Department of Neurosurgery, Chungbuk National University Hospital, Cheongju, Korea.
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2
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Diotaiuti P, Corrado S, Tosti B, Spica G, Di Libero T, D’Oliveira A, Zanon A, Rodio A, Andrade A, Mancone S. Evaluating the effectiveness of neurofeedback in chronic pain management: a narrative review. Front Psychol 2024; 15:1369487. [PMID: 38770259 PMCID: PMC11104502 DOI: 10.3389/fpsyg.2024.1369487] [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: 01/12/2024] [Accepted: 03/28/2024] [Indexed: 05/22/2024] Open
Abstract
The prevalence and impact of chronic pain in individuals worldwide necessitate effective management strategies. This narrative review specifically aims to assess the effectiveness of neurofeedback, an emerging non-pharmacological intervention, on the management of chronic pain. The methodology adopted for this review involves a meticulous search across various scientific databases. The search was designed to capture a broad range of studies related to neurofeedback and chronic pain management. To ensure the quality and relevance of the included studies, strict inclusion and exclusion criteria were applied. These criteria focused on the study design, population, intervention type, and reported outcomes. The review synthesizes the findings from a diverse array of studies, including randomized controlled trials, observational studies, and case reports. Key aspects evaluated include the types of neurofeedback used (such as EEG biofeedback), the various chronic pain conditions addressed (like fibromyalgia, neuropathic pain, and migraines), and the methodologies employed in these studies. The review highlights the underlying mechanisms by which neurofeedback may influence pain perception and management, exploring theories related to neural plasticity, pain modulation, and psychological factors. The results of the review reveal a positive correlation between neurofeedback interventions and improved pain management. Several studies report significant reductions on pain intensity, improved quality of life, and decreased reliance on medication following neurofeedback therapy. The review also notes variations in the effectiveness of different neurofeedback protocols and individual responses to treatment. Despite the promising results, the conclusion of the review emphasizes the need for further research. It calls for larger, well-designed clinical trials to validate the findings, to understand the long-term implications of neurofeedback therapy, and to optimize treatment protocols for individual patients.
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Affiliation(s)
- Pierluigi Diotaiuti
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Stefano Corrado
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Beatrice Tosti
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Giuseppe Spica
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Tommaso Di Libero
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Anderson D’Oliveira
- Department of Physical Education, CEFID, Santa Catarina State University, Florianopolis, Santa Catarina, Brazil
| | - Alessandra Zanon
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Angelo Rodio
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
| | - Alexandro Andrade
- Department of Physical Education, CEFID, Santa Catarina State University, Florianopolis, Santa Catarina, Brazil
| | - Stefania Mancone
- Department of Human Sciences, Society and Health, University of Cassino and Southern Lazio, Cassino, Lazio, Italy
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3
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Zhang Y, Zhang Q, Wang J, Zhou M, Qing Y, Zou H, Li J, Yang C, Becker B, Kendrick KM, Yao S. "Listen to your heart": A novel interoceptive strategy for real-time fMRI neurofeedback training of anterior insula activity. Neuroimage 2023; 284:120455. [PMID: 37952779 DOI: 10.1016/j.neuroimage.2023.120455] [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: 09/04/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023] Open
Abstract
Real-time fMRI (rt-fMRI) neurofeedback (NF) training is a novel non-invasive technique for volitional brain modulation. Given the important role of the anterior insula (AI) in human cognitive and affective processes, it has become one of the most investigated regions in rt-fMRI studies. Most rt-fMRI insula studies employed emotional recall/imagery as the regulation strategy, which may be less effective for psychiatric disorders characterized by altered emotional processing. The present study thus aimed to examine the feasibility of a novel interoceptive strategy based on heartbeat detection in rt-fMRI guided AI regulation and its associated behavioral changes using a randomized double-blind, sham feedback-controlled between-subject design. 66 participants were recruited and randomly assigned to receive either NF from the left AI (LAI) or sham feedback from a control region while using the interoceptive strategy. N = 57 participants were included in the final data analyses. Empathic and interoceptive pre-post training changes were collected as behavioral measures of NF training effects. Results showed that participants in the NF group exhibited stronger LAI activity than the control group with LAI activity being positively correlated with interoceptive accuracy following NF training, although there were no significant increases of LAI activity over training sessions. Importantly, ability of LAI regulation could be maintained in a transfer session without feedback. Successful LAI regulation was associated with strengthened functional connectivity of the LAI with cognitive control, memory and learning, and salience/interoceptive networks. The present study demonstrated for the first time the efficacy of a novel regulation strategy based on interoceptive processing in up-regulating LAI activity. Our findings also provide proof of concept for the translational potential of this strategy in rt-fMRI AI regulation of psychiatric disorders characterized by altered emotional processing.
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Affiliation(s)
- Yuan Zhang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Qiong Zhang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jiayuan Wang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Menghan Zhou
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yanan Qing
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Haochen Zou
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jianfu Li
- The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Chenghui Yang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Benjamin Becker
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China; Department of Psychology, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Keith M Kendrick
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Shuxia Yao
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China; The MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
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Islam J, Kc E, Kim S, Chung MY, Park KS, Kim HK, Park YS. Optogenetic Inhibition of Glutamatergic Neurons in the Dysgranular Posterior Insular Cortex Modulates Trigeminal Neuropathic Pain in CCI-ION Rat. Neuromolecular Med 2023; 25:516-532. [PMID: 37700212 DOI: 10.1007/s12017-023-08752-3] [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: 06/02/2023] [Accepted: 08/15/2023] [Indexed: 09/14/2023]
Abstract
In individuals with chronic neuropathic pain, the posterior insular cortex (PIC) has been found to exhibit increased glutamatergic activity, and the dysgranular portion of PIC (DPIC) has been investigated as a novel cortical target for pain modulation. However, the role of DPIC glutamatergic neurons (DPICg) in trigeminal neuropathic pain (TNP) remains unclear. Here, we examined the outcomes of DPICg inhibition in a rat model of chronic constriction injury of the infraorbital nerve (CCI-ION). Animals were randomly divided into TNP, sham, and control groups. TNP animals underwent CCI-ION surgery. Either optogenetic or null viruses were delivered to the contralateral DPICg of TNP and sham animals. In vivo single-unit extracellular recordings from the ipsilateral spinal trigeminal nucleus caudalis (TNC) and contralateral ventral posteromedial (VPM) thalamus were obtained under both "ON" and "OFF" stimulation states. Behavioral responses during the stimulation-OFF and stimulation-ON phases were examined. Expression of c-Fos, pERK, and CREB immunopositive neurons were also observed. Optogenetic inhibition of contralateral DPICg decreased the neural firing rate in both TNC and VPM thalamus, the expression of sensory-responsive cell bodies, and transcriptional factors in the DPIC of TNP group. Improvements in hyperalgesia, allodynia, and anxiety-like responses in TNP animals were also observed during stimulation-ON condition. In fine, descending pain processing is influenced by neuroanatomical projections from the DPIC to the pain matrix areas, and DPICg could play a necessary role in this neural circuitry. Therefore, the antinociceptive effect of DPICg inhibition in this study may provide evidence for the therapeutic potential of DPICg in TNP.
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Affiliation(s)
- Jaisan Islam
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Chungbuk, Korea
| | - Elina Kc
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Chungbuk, Korea
| | - Soochong Kim
- Department of Veterinary Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Korea
| | - Moon Young Chung
- Department of Neurosurgery, Soonchunhyang University, Bucheon, Korea
| | - Ki Seok Park
- Department of Neurosurgery, Eulji University Hospital, Daejeon, Korea
| | - Hyong Kyu Kim
- Department of Medicine and Microbiology, College of Medicine, Chungbuk National University, Cheongju, Korea
| | - Young Seok Park
- Department of Medical Neuroscience, College of Medicine, Chungbuk National University, Cheongju, Chungbuk, Korea.
- Department of Neurosurgery, Chungbuk National University Hospital, 776, 1 Sunhwanro, Seowon-gu, Cheongju, 28644, Korea.
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5
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Fede SJ, Kisner MA, Dean SF, Kerich M, Roopchansingh V, Diazgranados N, Momenan R. Selecting an optimal real-time fMRI neurofeedback method for alcohol craving control training. Psychophysiology 2023; 60:e14367. [PMID: 37326428 DOI: 10.1111/psyp.14367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/24/2023] [Accepted: 04/11/2023] [Indexed: 06/17/2023]
Abstract
Real-time fMRI neurofeedback (rt-fMRI-NF) is a technique in which information about an individual's neural state is given back to them, typically to enable and reinforce neuromodulation. Its clinical potential has been demonstrated in several applications, but lack of evidence on optimal parameters limits clinical utility of the technique. This study aimed to identify optimal parameters for rt-fMRI-NF-aided craving regulation training in alcohol use disorder (AUD). Adults with AUD (n = 30) participated in a single-session study of four runs of rt-fMRI-NF where they downregulated "craving-related" brain activity. They received one of three types of neurofeedback: multi-region of interest (ROI), support vector machine with continuous feedback (cSVM), and support vector machine with intermittent feedback (iSVM). Performance was assessed on the success rate, change in neural downregulation, and change in self-reported craving for alcohol. Participants had more successful trials in run 4 versus 1, as well as improved downregulation of the insula, anterior cingulate, and dorsolateral prefrontal cortex (dlPFC). Greater downregulation of the latter two regions predicted greater reduction in craving. iSVM performed significantly worse than the other two methods. Downregulation of the striatum and dlPFC, enabled by ROI but not cSVM neurofeedback, was correlated with a greater reduction in craving. rt-fMRI-NF training for downregulation of alcohol craving in individuals with AUD shows potential for clinical use, though this pilot study should be followed with a larger randomized-control trial before clinical meaningfulness can be established. Preliminary results suggest an advantage of multi-ROI over SVM and intermittent feedback approaches.
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Affiliation(s)
- Samantha J Fede
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
- Department of Psychological Sciences, Auburn University, Auburn, Alabama, USA
| | - Mallory A Kisner
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Sarah F Dean
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Mike Kerich
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Vinai Roopchansingh
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Nancy Diazgranados
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Reza Momenan
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
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Chen ZS. Hierarchical predictive coding in distributed pain circuits. Front Neural Circuits 2023; 17:1073537. [PMID: 36937818 PMCID: PMC10020379 DOI: 10.3389/fncir.2023.1073537] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/07/2023] [Indexed: 03/06/2023] Open
Abstract
Predictive coding is a computational theory on describing how the brain perceives and acts, which has been widely adopted in sensory processing and motor control. Nociceptive and pain processing involves a large and distributed network of circuits. However, it is still unknown whether this distributed network is completely decentralized or requires networkwide coordination. Multiple lines of evidence from human and animal studies have suggested that the cingulate cortex and insula cortex (cingulate-insula network) are two major hubs in mediating information from sensory afferents and spinothalamic inputs, whereas subregions of cingulate and insula cortices have distinct projections and functional roles. In this mini-review, we propose an updated hierarchical predictive coding framework for pain perception and discuss its related computational, algorithmic, and implementation issues. We suggest active inference as a generalized predictive coding algorithm, and hierarchically organized traveling waves of independent neural oscillations as a plausible brain mechanism to integrate bottom-up and top-down information across distributed pain circuits.
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Affiliation(s)
- Zhe Sage Chen
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States
- Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, United States
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY, United States
- Interdisciplinary Pain Research Program, NYU Langone Health, New York, NY, United States
- *Correspondence: Zhe Sage Chen
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7
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Yuan Z, Wang W, Zhang X, Bai X, Tang H, Mei Y, Zhang P, Qiu D, Zhang X, Zhang Y, Yu X, Sui B, Wang Y. Altered functional connectivity of the right caudate nucleus in chronic migraine: a resting-state fMRI study. J Headache Pain 2022; 23:154. [PMID: 36460958 PMCID: PMC9717534 DOI: 10.1186/s10194-022-01506-9] [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: 09/12/2022] [Revised: 10/06/2022] [Accepted: 10/06/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The definitive pathogenic mechanisms underlying chronic migraine (CM) remain unclear. Mounting evidence from functional and structural magnetic resonance imaging (MRI) studies suggests that the caudate nucleus (CN) plays a role in the cognitive, sensory, and emotional integration of pain information in patients with migraine. However, evidence concerning the role played by CN in CM patients is limited. Here, we used the CN as the seed to explore patterns of functional connectivity (FC) among healthy controls (HCs), patients with episodic migraine (EM), and patients with CM. METHODS We included 25 HCs, 23 EM patients, and 46 CM patients in this study. All participants underwent resting-state functional MRI scans on a GE 3.0T MRI system. We performed seed-based FC analyses among the three groups using the bilateral CNs as seeds. We also compared the subgroups of CM (with and without medication overuse headache, males and females) and performed Pearson's correlation analyses between FC values and the clinical features of CM patients. RESULTS FC values between the right CN and five clusters (mainly involved in emotion, cognition, and sensory-related brain regions) were higher in CM patients than in HCs. Compared to EM patients, enhanced FC values between the bilateral precuneus, left anterior cingulate gyrus, right middle cingulate cortex, right lingual gyrus, and right CN were shown in the CM patients. There were no significant differences between CM patients with and without MOH, males and females. FC values between the bilateral calcarine cortex, lingual gyrus, and right CN were positively correlated with body mass index. Moreover, right CN-related FC values in the left calcarine cortex and right lingual gyrus were inversely correlated with visual analogue scale scores for headaches. CONCLUSION Our results revealed abnormal right CN-based FC values in CM patients, suggesting dysfunction of brain networks associated with pain perception and multi-regulation (emotion, cognition, and sensory). Aberrant FC of the CN can provide potential neuroimaging markers for the diagnosis and treatment of CM.
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Affiliation(s)
- Ziyu Yuan
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Wei Wang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xueyan Zhang
- grid.412633.10000 0004 1799 0733Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, 450000 Zhengzhou, China
| | - Xiaoyan Bai
- Tiantan Neuroimaging Center of Excellence, National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Hefei Tang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Yanliang Mei
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Peng Zhang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Dong Qiu
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xue Zhang
- Tiantan Neuroimaging Center of Excellence, National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Yaqing Zhang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xueying Yu
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Binbin Sui
- Tiantan Neuroimaging Center of Excellence, National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Yonggang Wang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
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8
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Wu R, Wang F, Yang PF, Gore JC, Chen LM. Graph theory analysis identified two hubs that connect sensorimotor and cognitive and cortical and subcortical nociceptive networks in the non-human primate. Neuroimage 2022; 257:119244. [PMID: 35533827 PMCID: PMC9306334 DOI: 10.1016/j.neuroimage.2022.119244] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 11/27/2022] Open
Abstract
Pain perception involves multiple brain regions and networks. Understanding how these brain networks work together is fundamental for appreciating network-wise changes reported in patients with chronic pain disorders. Parcellating pain related networks and understanding their causal relationships is the first step to understand how painful information is processed, integrated, and modulated, and it requires direct manipulation of specific brain regions. Nonhuman primates (NHP) offer an ideal model system to achieve these goals because cortical and subcortical regions in the NHP brain are established based on a variety of different types of data collected in a way that is not feasible or, at least, extremely difficult in humans (i.e., histology data, tract-tracing, intracerebral recordings). In addition, different methodological techniques can also help characterize and further understand these brain cortical and subcortical regions over the course of development. Here we used a heat nociceptive stimulation that is proven to elicit activity of nociceptive neurons in the cortex to refine and parcellate the whole brain nociceptive functional networks, to identify key network hubs, and to characterize network-wise temporal dynamic signatures using high-resolution fMRI. We first functionally localized 24 cortical and subcortical regions that responded to heat nociceptive stimuli (somatosensory area 1/2, area 3a/3b, S2, posterior insula (pIns), anterior insula, area 7b, posterior parietal cortex, anterior cingulate cortex (ACC), prefrontal cortex, caudate, and mediodorsal (MD) and ventral posterior lateral (VPL) thalamic nuclei) and used them as seeds in resting state fMRI (rsfMRI) data analysis. We applied both hierarchical clustering and graph-theory analyses of the pairwise rsfMRI correlation metrics and identified five cortical and one subcortical sub-networks: strong resting state functional connectivity (rsFC) between ACC and prefrontal regions, parietal cortex and area 7b, S2 and posterior insula, areas 3a/3b and 1/2 within the S1 cortex, and thalamic MD and caudate nuclei. The rsFC strengths between cortical areas within each subnetwork were significantly stronger than those between subcortical regions. Regions within each sub-network also exhibited highly correlated temporal dynamics at rest, but the overall dynamic patterns varied drastically across sub-networks. Graph-theory analysis identified the MD nucleus as a hub that connects subcortical and cortical nociceptive sub-networks. The S2-pIns connection joins the sensory and affective/cognitive sub-networks.
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Affiliation(s)
- Ruiqi Wu
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, United States,Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S. AA 1105 MCN, Nashville, TN 37232-2310, United States,State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Feng Wang
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, United States,Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S. AA 1105 MCN, Nashville, TN 37232-2310, United States
| | - Pai-Feng Yang
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, United States,Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S. AA 1105 MCN, Nashville, TN 37232-2310, United States
| | - John C Gore
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, United States,Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S. AA 1105 MCN, Nashville, TN 37232-2310, United States,Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, United States
| | - Li Min Chen
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, United States; Department of Radiology and Radiological Sciences, Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S. AA 1105 MCN, Nashville, TN 37232-2310, United States; Department of Psychology, Vanderbilt University, Nashville, TN 37232, United States.
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9
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Sanders ZB, Fleming MK, Smejka T, Marzolla MC, Zich C, Rieger SW, Lührs M, Goebel R, Sampaio-Baptista C, Johansen-Berg H. Self-modulation of motor cortex activity after stroke: a randomized controlled trial. Brain 2022; 145:3391-3404. [PMID: 35960166 PMCID: PMC9586541 DOI: 10.1093/brain/awac239] [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: 10/08/2021] [Revised: 06/01/2022] [Accepted: 06/20/2022] [Indexed: 11/14/2022] Open
Abstract
Real-time functional MRI neurofeedback allows individuals to self-modulate their ongoing brain activity. This may be a useful tool in clinical disorders that are associated with altered brain activity patterns. Motor impairment after stroke has previously been associated with decreased laterality of motor cortex activity. Here we examined whether chronic stroke survivors were able to use real-time fMRI neurofeedback to increase laterality of motor cortex activity and assessed effects on motor performance and on brain structure and function. We carried out a randomized, double-blind, sham-controlled trial (ClinicalTrials.gov: NCT03775915) in which 24 chronic stroke survivors with mild to moderate upper limb impairment experienced three training days of either Real (n = 12) or Sham (n = 12) neurofeedback. Assessments of brain structure, brain function and measures of upper-limb function were carried out before and 1 week after neurofeedback training. Additionally, measures of upper-limb function were repeated 1 month after neurofeedback training. Primary outcome measures were (i) changes in lateralization of motor cortex activity during movements of the stroke-affected hand throughout neurofeedback training days; and (ii) changes in motor performance of the affected limb on the Jebsen Taylor Test (JTT). Stroke survivors were able to use Real neurofeedback to increase laterality of motor cortex activity within (P = 0.019), but not across, training days. There was no group effect on the primary behavioural outcome measure, which was average JTT performance across all subtasks (P = 0.116). Secondary analysis found improvements in the performance of the gross motor subtasks of the JTT in the Real neurofeedback group compared to Sham (P = 0.010). However, there were no improvements on the Action Research Arm Test or the Upper Extremity Fugl–Meyer score (both P > 0.5). Additionally, decreased white-matter asymmetry of the corticospinal tracts was detected 1 week after neurofeedback training (P = 0.008), indicating that the tracts become more similar with Real neurofeedback. Changes in the affected corticospinal tract were positively correlated with participants neurofeedback performance (P = 0.002). Therefore, here we demonstrate that chronic stroke survivors are able to use functional MRI neurofeedback to self-modulate motor cortex activity in comparison to a Sham control, and that training is associated with improvements in gross hand motor performance and with white matter structural changes.
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Affiliation(s)
- Zeena Britt Sanders
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
| | - Melanie K Fleming
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
| | - Tom Smejka
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
| | - Marilien C Marzolla
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
| | - Catharina Zich
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
| | - Sebastian W Rieger
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
| | - Michael Lührs
- Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands.,Research Department, Brain Innovation B.V., 6229 EV Maastricht, The Netherlands
| | - Rainer Goebel
- Department of Cognitive Neuroscience, Maastricht University, 6229 EV Maastricht, The Netherlands.,Research Department, Brain Innovation B.V., 6229 EV Maastricht, The Netherlands
| | - Cassandra Sampaio-Baptista
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK.,Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G61 1QH, UK
| | - Heidi Johansen-Berg
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 9DU, UK
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10
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Huang H, Yue X, Huang X, Long W, Kang S, Rao Y, Zeng J, Zuo J, Wang L, Li H, Wang Y, Qiu S, Zhao W. Brain Activities Responding to Acupuncture at ST36 ( zusanli) in Healthy Subjects: A Systematic Review and Meta-Analysis of Task-Based fMRI Studies. Front Neurol 2022; 13:930753. [PMID: 35968313 PMCID: PMC9373901 DOI: 10.3389/fneur.2022.930753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/23/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose Stomach 36 (ST36, zusanli) is one of the important acupoints in acupuncture. Despite clinical functional magnetic resonance imaging (fMRI) studies of ST36 acupuncture, the brain activities and the neural mechanism following acupuncture at ST36 remain unclear. Methods Literature searches were conducted on online databases, including MEDLINE, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang database, WeiPu database, and China Biology Medicine, for task-based fMRI studies of acupuncture at ST36 in healthy subjects. Brain regions activated by ST36 acupuncture were systematically evaluated and subjected to seed-based d mapping meta-analysis. Subgroup analysis was conducted on control procedures, manual acupuncture, electrical acupuncture (EA), and acupuncture-specific activations. Meta-regression analysis was performed to explore the effects of needle retention time on brain activities following ST36 acupuncture stimulation. The activated brain regions were further decoded and mapped on large-scale functional networks to further decipher the clinical relevance of acupuncturing at ST36. Results A total of sixteen studies, involving a total of 401 right-handed healthy participants, that satisfied the inclusion criteria were included in the present meta-analysis. Meta-analysis showed that acupuncturing on ST36 positively activates the opercular part of the right inferior frontal gyrus (IFG.R), left superior temporal gyrus (STG.L), and right median cingulate/paracingulate gyri (MCG.R) regions. Needle retention time in an acupuncture session positively correlates with the activation of the left olfactory cortex, as shown in meta-regression analysis. Subgroup analysis revealed that EA stimulation may be a source of heterogeneity in the pooled results. Functional network mappings showed that the activated areas were mapped to the auditory network and salience network. Further functional decoding analysis showed that acupuncture on ST36 was associated with pain, secondary somatosensory, sound and language processing, and mood regulation. Conclusion Acupuncture at ST36 in healthy individuals positively activates the opercular part of IFG.R, STG.L, and MCG.R. The left olfactory cortex may exhibit positive needle retention time-dependent activities. Our findings may have clinical implications for acupuncture in analgesia, language processing, and mood disorders. Systematic Review Registration https://inplasy.com/inplasy-2021-12-0035.
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Affiliation(s)
- Haoming Huang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomei Yue
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xi Huang
- Department of Geriatrics, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenjie Long
- Department of Geriatrics, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shangyu Kang
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yawen Rao
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingchun Zeng
- Department of Rehabilitation, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Junling Zuo
- Department of Emergency, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lin Wang
- Department of Emergency, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hongjuan Li
- The First Comprehensive Department, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Province Hospital of Chinese Medicine), Guangzhou, China
| | - Yeqing Wang
- Department of Chinese Medicine, The First Affiliated Hospital, School of Clinical Medicine of Guangdong Pharmaceutical University, Guangzhou, China
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Weixuan Zhao
- Department of Chinese Medicine, The First Affiliated Hospital, School of Clinical Medicine of Guangdong Pharmaceutical University, Guangzhou, China
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11
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Choi S, Kim K, Kwon M, Bai SJ, Cha M, Lee BH. Modulation of Neuropathic Pain by Glial Regulation in the Insular Cortex of Rats. Front Mol Neurosci 2022; 15:815945. [PMID: 35493331 PMCID: PMC9043281 DOI: 10.3389/fnmol.2022.815945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 02/22/2022] [Indexed: 12/12/2022] Open
Abstract
The insular cortex (IC) is known to process pain information. However, analgesic effects of glial inhibition in the IC have not yet been explored. The aim of this study was to investigate pain alleviation effects after neuroglia inhibition in the IC during the early or late phase of pain development. The effects of glial inhibitors in early or late phase inhibition in neuropathic pain were characterized in astrocytes and microglia expressions in the IC of an animal model of neuropathic pain. Changes in withdrawal responses during different stages of inhibition were compared, and morphological changes in glial cells with purinergic receptor expressions were analyzed. Inhibition of glial cells had an analgesic effect that persisted even after drug withdrawal. Both GFAP and CD11b/c expressions were decreased after injection of glial inhibitors. Morphological alterations of astrocytes and microglia were observed with expression changes of purinergic receptors. These findings indicate that inhibition of neuroglia activity in the IC alleviates chronic pain, and that purinergic receptors in glial cells are closely related to chronic pain development.
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Affiliation(s)
- Songyeon Choi
- Department of Physiology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, South Korea
| | - Kyeongmin Kim
- Department of Physiology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, South Korea
| | - Minjee Kwon
- Department of Nursing, Kyungil University, Gyeongsan, South Korea
| | - Sun Joon Bai
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Myeounghoon Cha
- Department of Physiology, Yonsei University College of Medicine, Seoul, South Korea
- *Correspondence: Myeounghoon Cha,
| | - Bae Hwan Lee
- Department of Physiology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, South Korea
- Bae Hwan Lee,
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12
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Zhang S, Chen F, Wu J, Liu C, Yang G, Piao R, Geng B, Xu K, Liu P. Altered structural covariance and functional connectivity of the insula in patients with Crohn's disease. Quant Imaging Med Surg 2022; 12:1020-1036. [PMID: 35111602 DOI: 10.21037/qims-21-509] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/01/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Crohn's disease (CD) is a clinically chronic inflammatory bowel disease, which has been shown to be closely related to the brain-gut axis dysfunction. Although traditionally considered to be a limbic region, the insula has also been commonly identified as an abnormal brain region in previous CD-related studies. METHODS Structural magnetic resonance imaging (MRI) and resting-state functional MRI images were acquired from 45 CD patients in remission and 40 healthy controls (HCs). Three neuroimaging analysis methods including voxel-based morphometry (VBM), structural covariance, and functional connectivity (FC) were applied to investigate structural and functional alterations of the insulae between the CD patients and HCs. Pearson correlation was then used to examine the relationships between neuroimaging findings and clinical symptoms. RESULTS Compared with the HCs, CD patients exhibited decreased gray matter volume (GMV) in the left dorsal anterior insula (dAI) and bilateral posterior insula (PI). Taking these three areas including the left dAI, right PI, and left PI as regions of interest (ROIs), differences were observed in the structural covariance and FC of the ROI with several regions between the two groups. After controlling for psychological factors, the differences of several regions involved in emotional processing in GMV in the left dAI, the FC of the dAI, and the right PI were not significant. The FC of the parahippocampus/hippocampus with dAI and PI were negatively correlated with the CD activity index (CDAI). CONCLUSIONS We suggest that the insula-centered structural and/or functional changes may be associated with abnormal visceral sensory processing and related emotional responses in CD patients.
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Affiliation(s)
- Shuming Zhang
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Fenrong Chen
- Department of Gastroenterology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jiayu Wu
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Chengxiang Liu
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Guang Yang
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Ruiqing Piao
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Bowen Geng
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Ke Xu
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
| | - Peng Liu
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, China.,Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China
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13
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Luis EO, Akrivou K, Bermejo-Martins E, Scalzo G, Orón JV. The Interprocessual-Self Theory in Support of Human Neuroscience Studies. Front Psychol 2022; 12:686928. [PMID: 35153881 PMCID: PMC8832125 DOI: 10.3389/fpsyg.2021.686928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 12/20/2021] [Indexed: 11/16/2022] Open
Abstract
Rather than occurring abstractly (autonomously), ethical growth occurs in interpersonal relationships (IRs). It requires optimally functioning cognitive processes [attention, working memory (WM), episodic/autobiographical memory (AM), inhibition, flexibility, among others], emotional processes (physical contact, motivation, and empathy), processes surrounding ethical, intimacy, and identity issues, and other psychological processes (self-knowledge, integration, and the capacity for agency). Without intending to be reductionist, we believe that these aspects are essential for optimally engaging in IRs and for the personal constitution. While they are all integrated into our daily life, in research and academic work, it is hard to see how they are integrated. Thus, we need better theoretical frameworks for studying them. That study and integration thereof are undertaken differently depending on different views of what it means to live as a human being. We rely on neuroscientific data to support the chosen theory to offer knowledge to understand human beings and interpersonal relational growth. We should of course note that to describe what makes up the uniqueness of being, acting, and growing as a human person involves something much more profound which requires too, a methodology that opens the way for a theory of the person that responds to the concerns of philosophy and philosophical anthropology from many disciplines and methods (Orón Semper, 2015; Polo, 2015), but this is outside the scope of this study. With these in mind, this article aims to introduce a new explanatory framework, called the Interprocessual-self (IPS), for the neuroscientific findings that allow for a holistic consideration of the previously mentioned processes. Contributing to the knowledge of personal growth and avoiding a reductionist view, we first offer a general description of the research that supports the interrelation between personal virtue in IRs and relevant cognitive, emotional, and ethic-moral processes. This reveals how relationships allow people to relate ethically and grow as persons. We include conceptualizations and descriptions of their neural bases. Secondly, with the IPS model, we explore neuroscientific findings regarding self-knowledge, integration, and agency, all psychological processes that stimulate inner exploration of the self concerning the other. We find that these fundamental conditions can be understood from IPS theory. Finally, we explore situations that involve the integration of two levels, namely the interpersonal one and the social contexts of relationships.
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Affiliation(s)
- Elkin O. Luis
- Psychological Processes in Education and Health Group, School of Education and Psychology, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research, Pamplona, Spain
| | - Kleio Akrivou
- Henley Business School, University of Reading, Reading, United Kingdom
| | - Elena Bermejo-Martins
- Navarra Institute for Health Research, Pamplona, Spain
- Department of Community Nursing and Midwifery, School of Nursing, University of Navarra, Pamplona, Spain
| | - Germán Scalzo
- School of Business, Universidad Panamericana, Mexico City, Mexico
| | - José Víctor Orón
- Fundación UpToYou Educación, Zaragoza, Spain
- *Correspondence: José Víctor Orón,
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14
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Optogenetic Stimulation of the Anterior Cingulate Cortex Modulates the Pain Processing in Neuropathic Pain: A Review. J Mol Neurosci 2021; 72:1-8. [PMID: 34505976 DOI: 10.1007/s12031-021-01898-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/02/2021] [Indexed: 12/13/2022]
Abstract
Neuropathic pain is characterized by hypersensitivity, hyperalgesia, and allodynia, which is caused by damage to the somatosensory nervous system. It substantially impairs the quality of life. The management of neuropathic pain is challenging and should comprise alternative therapies. Researchers working on neural modulation methods in the field of optogenetics have recently referred to novel techniques that involve the activation or inhibition of signaling proteins by specific wavelengths of light. The use of optogenetics in neuropathic pain facilitates the investigation of pain pathways involved in chronic pain and has the potential for therapeutic use. Neuropathic pain is often accompanied by negative stimuli involving a broad network of brain regions. In particular, the anterior cingulate cortex (ACC) is a part of the limbic system that has highly interconnected structures involved in processing components of pain. The ACC is a key region for acute pain perception as well as the development of neuropathic pain, characterized by long-term potentiation induced in pain pathways. The exact mechanism for neuropathic pain in the ACC is unclear. Current evidence supports the potential of optogenetics methods to modulate the neuronal activity in the ACC for neuropathic pain. We anticipate the neuronal modulation in the ACC will be used widely to manage neuropathic pain.
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15
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Taesler P, Rose M. The modulation of neural insular activity by a brain computer interface differentially affects pain discrimination. Sci Rep 2021; 11:9795. [PMID: 33963226 PMCID: PMC8105353 DOI: 10.1038/s41598-021-89206-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 03/11/2021] [Indexed: 11/20/2022] Open
Abstract
The experience of pain is generated by activations throughout a complex pain network with the insular cortex as a central processing area. The state of ongoing oscillatory activity can influence subsequent processing throughout this network. In particular the ongoing theta-band power can be relevant for later pain processing, however a direct functional relation to post-stimulus processing or behaviour is missing. Here, we used a non-invasive brain-computer interface to either increase or decrease ongoing theta-band power originating in the insular cortex. Our results show a differential modulation of oscillatory power and even more important a transfer to independently measured pain processing and sensation. Pain evoked neural power and subjective pain discrimination were differentially affected by the induced modulations of the oscillatory state. The results demonstrate a functional relevance of insular based theta-band oscillatory states for the processing and subjective discrimination of nociceptive stimuli and offer the perspective for clinical applications.
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Affiliation(s)
- Philipp Taesler
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, W34, 20251, Hamburg, Germany
| | - Michael Rose
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, W34, 20251, Hamburg, Germany.
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16
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Haugg A, Sladky R, Skouras S, McDonald A, Craddock C, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan JN, Hendler T, Cohen Kadosh K, Zich C, MacInnes J, Adcock RA, Dickerson K, Chen N, Young K, Bodurka J, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Emmert K, Haller S, Van De Ville D, Blefari M, Kim D, Lee J, Marins T, Fukuda M, Sorger B, Kamp T, Liew S, Veit R, Spetter M, Weiskopf N, Scharnowski F. Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? Hum Brain Mapp 2020; 41:3839-3854. [PMID: 32729652 PMCID: PMC7469782 DOI: 10.1002/hbm.25089] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/18/2020] [Accepted: 05/26/2020] [Indexed: 12/31/2022] Open
Abstract
Neurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real-time fMRI neurofeedback studies report large inter-individual differences in learning success. The factors that cause this vast variability between participants remain unknown and their identification could enhance treatment success. Thus, here we employed a meta-analytic approach including data from 24 different neurofeedback studies with a total of 401 participants, including 140 patients, to determine whether levels of activity in target brain regions during pretraining functional localizer or no-feedback runs (i.e., self-regulation in the absence of neurofeedback) could predict neurofeedback learning success. We observed a slightly positive correlation between pretraining activity levels during a functional localizer run and neurofeedback learning success, but we were not able to identify common brain-based success predictors across our diverse cohort of studies. Therefore, advances need to be made in finding robust models and measures of general neurofeedback learning, and in increasing the current study database to allow for investigating further factors that might influence neurofeedback learning.
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Affiliation(s)
- Amelie Haugg
- Psychiatric University Hospital ZurichUniversity of ZurichZürichSwitzerland
- Faculty of PsychologyUniversity of ViennaViennaAustria
| | - Ronald Sladky
- Faculty of PsychologyUniversity of ViennaViennaAustria
| | - Stavros Skouras
- Department of Biological and Medical PsychologyUniversity of BergenBergenNorway
| | - Amalia McDonald
- Department of PsychologyUniversity of VirginiaCharlottesvilleVirginia
| | - Cameron Craddock
- Department of Diagnostic MedicineThe University of Texas at Austin Dell Medical SchoolAustinTexas
| | - Matthias Kirschner
- Psychiatric University Hospital ZurichUniversity of ZurichZürichSwitzerland
- McConnell Brain Imaging CentreMontréal Neurological Institute, McGill UniversityMontrealCanada
| | - Marcus Herdener
- Psychiatric University Hospital ZurichUniversity of ZurichZürichSwitzerland
| | - Yury Koush
- Magnetic Resonance Research Center, Department of Radiology & Biomedical ImagingYale UniversityNew HavenConnecticut
| | - Marina Papoutsi
- UCL Huntington's Disease CentreInstitute of Neurology, University College LondonLondonEngland
| | - Jackob N. Keynan
- Functional Brain CenterWohl Institute for Advanced Imaging, Tel‐Aviv Sourasky Medical Center, Tel‐Aviv UniversityTel AvivIsrael
| | - Talma Hendler
- Functional Brain CenterWohl Institute for Advanced Imaging, Tel‐Aviv Sourasky Medical Center, Tel‐Aviv UniversityTel AvivIsrael
| | | | - Catharina Zich
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordEngland
| | - Jeff MacInnes
- Institute for Learning and Brain SciencesUniversity of WashingtonSeattleWashington
| | - R. Alison Adcock
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth Carolina
| | - Kathryn Dickerson
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth Carolina
| | - Nan‐Kuei Chen
- Department of Biomedical EngineeringUniversity of ArizonaTucsonArizona
| | - Kymberly Young
- Department of Psychiatry, School of MedicineUniversity of PittsburghPittsburghPennsylvania
| | | | - Shuxia Yao
- Clinical Hospital of Chengdu the Brain Science Institute, MOE Key Laboratory for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Benjamin Becker
- Clinical Hospital of Chengdu the Brain Science Institute, MOE Key Laboratory for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Tibor Auer
- School of PsychologyUniversity of SurreyGuildfordEngland
| | - Renate Schweizer
- Functional Imaging LaboratoryGerman Primate CenterGöttingenGermany
| | - Gustavo Pamplona
- Hôpital and Ophtalmique Jules GoninUniversity of LausanneLausanneSwitzerland
| | - Kirsten Emmert
- Department of NeurologyUniversity Medical Center Schleswig‐Holstein, Kiel UniversityKielGermany
| | - Sven Haller
- Radiology‐Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | - Dimitri Van De Ville
- Center for NeuroprostheticsEcole Polytechnique Féderale de LausanneLausanneSwitzerland
- Department of Radiology and Medical Informatics, Faculty of MedicineUniversity of GenevaGenevaSwitzerland
| | - Maria‐Laura Blefari
- Center for NeuroprostheticsEcole Polytechnique Féderale de LausanneLausanneSwitzerland
| | - Dong‐Youl Kim
- Department of Brain and Cognitive EngineeringKorea UniversitySeoulKorea
| | - Jong‐Hwan Lee
- Department of Brain and Cognitive EngineeringKorea UniversitySeoulKorea
| | - Theo Marins
- D'Or Institute for Research and Education (IDOR)Rio de JaneiroBrazil
| | - Megumi Fukuda
- School of Fundamental Science and EngineeringWaseda UniversityTokyoJapan
| | - Bettina Sorger
- Department Cognitive Neuroscience, Faculty of Psychology and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Tabea Kamp
- Department Cognitive Neuroscience, Faculty of Psychology and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Sook‐Lei Liew
- Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCalifornia
| | - Ralf Veit
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center MunichUniversity of TübingenTübingenGermany
| | - Maartje Spetter
- School of PsychologyUniversity of BirminghamBirminghamEngland
| | - Nikolaus Weiskopf
- Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Frank Scharnowski
- Psychiatric University Hospital ZurichUniversity of ZurichZürichSwitzerland
- Faculty of PsychologyUniversity of ViennaViennaAustria
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17
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Roy R, de la Vega R, Jensen MP, Miró J. Neurofeedback for Pain Management: A Systematic Review. Front Neurosci 2020; 14:671. [PMID: 32765208 PMCID: PMC7378966 DOI: 10.3389/fnins.2020.00671] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 06/02/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Chronic pain is a significant global health issue. For most individuals with chronic pain, biomedical treatments do not provide adequate relief. Given the evidence that neurophysiological abnormalities are associated with pain, it is reasonable to consider treatments that target these factors, such as neurofeedback (NF). The primary objectives of this review were to summarize the current state of knowledge regarding: (1) the different types of NF and NF protocols that have been evaluated for pain management; (2) the evidence supporting each NF type and protocol; (3) if targeted brain activity changes occur with NF training; and (4) if such brain activity change is associated with improvements on treatment outcomes. Methods: Inclusion criteria were intentionally broad to encompass every empirical study using NF in relation to pain. We considered all kinds of NF, including both electroencephalogram- (EEG-) and functional magnetic resonance imagining- (fMRI-) based. We searched the following databases from inception through September 2019: Pubmed, Ovid, Embase, Web of Science, PsycINFO. The search strategy consisted of a combination of key terms referring to all NF types and pain conditions (e.g., neurofeedback, rt-fMRI-NF, BOLD, pain, migraine). Results: A total of 6,552 citations were retrieved; 24 of these that were included in the review. Most of the studies were of moderate quality, included a control condition and but did not include a follow-up. They focused on studying pain intensity (83%), pain frequency, and other variables (fatigue, sleep, depression) in samples of adults (n = 7-71) with headaches, fibromyalgia and other pain conditions. Most studies (79%) used EEG-based NF. A wide variety of NF types and protocols have been used for pain management aiming to either increase, decrease or regulate brain activity in certain areas theoretically associated with pain. Conclusions: Given the generally positive results in the studies reviewed, the findings indicate that NF procedures have the potential for reducing pain and improving other related outcomes in individuals with chronic pain. However, the current evidence does not provide definitive conclusions or allow for reliable recommendations on which protocols or methods of administration may be the most effective. These findings support the need for continued - but higher quality - research in this area.
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Affiliation(s)
- Rubén Roy
- Universitat Rovira i Virgili, Unit for the Study and Treatment of Pain–ALGOS, Department of Psychology, Research Center for Behavior Assessment (CRAMC), Tarragona, Spain
| | - Rocío de la Vega
- Center for Child Health, Behavior and Development, Children's Research Institute, Seattle, WA, United States
| | - Mark P. Jensen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States
| | - Jordi Miró
- Universitat Rovira i Virgili, Unit for the Study and Treatment of Pain–ALGOS, Department of Psychology, Research Center for Behavior Assessment (CRAMC), Tarragona, Spain
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18
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Suicidal Ideation Among Anxious Youth: A Preliminary Investigation of the Role of Neural Processing of Social Rejection in Interaction with Real World Negative Social Experiences. Child Psychiatry Hum Dev 2020; 51:163-173. [PMID: 31420764 PMCID: PMC7024007 DOI: 10.1007/s10578-019-00920-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Suicidal ideation increases in adolescence, especially for anxious youth, and is a frequent precursor to suicide. This study examined whether neural processing of social rejection interacted with negative social experiences to predict suicidal ideation. Thus, to our knowledge this is the first study to examine how brain function may interact with the environment to contribute to suicidal ideation in youth, consistent with a developmental psychopathology perspective. Thirty-six anxious youth (ages 11 to 16) completed diagnostic interviews and questionnaires, an ecological momentary assessment (EMA) protocol, and a functional magnetic resonance imaging paradigm. Results showed that youth experienced greater severity of suicidal ideation when they exhibited heightened activation to social rejection in the right anterior insula and also experienced high levels of peer victimization or EMA-measured daily negative social experiences. Findings provide preliminary evidence that alterations in neural processing of social rejection interacts with exposure to negative social experiences to contribute to suicidal ideation.
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19
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Fede SJ, Dean SF, Manuweera T, Momenan R. A Guide to Literature Informed Decisions in the Design of Real Time fMRI Neurofeedback Studies: A Systematic Review. Front Hum Neurosci 2020; 14:60. [PMID: 32161529 PMCID: PMC7052377 DOI: 10.3389/fnhum.2020.00060] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 02/07/2020] [Indexed: 11/26/2022] Open
Abstract
Background: Although biofeedback using electrophysiology has been explored extensively, the approach of using neurofeedback corresponding to hemodynamic response is a relatively young field. Real time functional magnetic resonance imaging-based neurofeedback (rt-fMRI-NF) uses sensory feedback to operantly reinforce patterns of neural response. It can be used, for example, to alter visual perception, increase brain connectivity, and reduce depression symptoms. Within recent years, interest in rt-fMRI-NF in both research and clinical contexts has expanded considerably. As such, building a consensus regarding best practices is of great value. Objective: This systematic review is designed to describe and evaluate the variations in methodology used in previous rt-fMRI-NF studies to provide recommendations for rt-fMRI-NF study designs that are mostly likely to elicit reproducible and consistent effects of neurofeedback. Methods: We conducted a database search for fMRI neurofeedback papers published prior to September 26th, 2019. Of 558 studies identified, 146 met criteria for inclusion. The following information was collected from each study: sample size and type, task used, neurofeedback calculation, regulation procedure, feedback, whether feedback was explicitly related to changing brain activity, feedback timing, control group for active neurofeedback, how many runs and sessions of neurofeedback, if a follow-up was conducted, and the results of neurofeedback training. Results: rt-fMRI-NF is typically upregulation practice based on hemodynamic response from a specific region of the brain presented using a continually updating thermometer display. Most rt-fMRI-NF studies are conducted in healthy samples and half evaluate its effect on immediate changes in behavior or affect. The most popular control group method is to provide sham signal from another region; however, many studies do not compare use a comparison group. Conclusions: We make several suggestions for designs of future rt-fMRI-NF studies. Researchers should use feedback calculation methods that consider neural response across regions (i.e., SVM or connectivity), which should be conveyed as intermittent, auditory feedback. Participants should be given explicit instructions and should be assessed on individual differences. Future rt-fMRI-NF studies should use clinical samples; effectiveness of rt-fMRI-NF should be evaluated on clinical/behavioral outcomes at follow-up time points in comparison to both a sham and no feedback control group.
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Affiliation(s)
- Samantha J Fede
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States
| | - Sarah F Dean
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States
| | - Thushini Manuweera
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States
| | - Reza Momenan
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States
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20
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Ghaziri J, Tucholka A, Girard G, Boucher O, Houde JC, Descoteaux M, Obaid S, Gilbert G, Rouleau I, Nguyen DK. Subcortical structural connectivity of insular subregions. Sci Rep 2018; 8:8596. [PMID: 29872212 PMCID: PMC5988839 DOI: 10.1038/s41598-018-26995-0] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 05/18/2018] [Indexed: 12/19/2022] Open
Abstract
Hidden beneath the Sylvian fissure and sometimes considered as the fifth lobe of the brain, the insula plays a multi-modal role from its strategic location. Previous structural studies have reported cortico-cortical connections with the frontal, temporal, parietal and occipital lobes, but only a few have looked at its connections with subcortical structures. The insular cortex plays a role in a wide range of functions including processing of visceral and somatosensory inputs, olfaction, audition, language, motivation, craving, addiction and emotions such as pain, empathy and disgust. These functions implicate numerous subcortical structures, as suggested by various functional studies. Based on these premises, we explored the structural connectivity of insular ROIs with the thalamus, amygdala, hippocampus, putamen, globus pallidus, caudate nucleus and nucleus accumbens. More precisely, we were interested in unraveling the specific areas of the insula connected to these subcortical structures. By using state-of-the-art HARDI tractography algorithm, we explored here the subcortical connectivity of the insula.
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Affiliation(s)
- Jimmy Ghaziri
- Département de psychologie, Université du Québec à Montréal, Montréal, Qc, Canada.,Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Qc, Canada
| | - Alan Tucholka
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Gabriel Girard
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Qc, Canada
| | - Olivier Boucher
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Qc, Canada.,Département de psychologie, Université de Montréal, Montréal, Qc, Canada
| | - Jean-Christophe Houde
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Qc, Canada
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science department, Université de Sherbrooke, Sherbrooke, Qc, Canada
| | - Sami Obaid
- Service de Neurochirurgie, Centre Hospitalier de l'Université de Montréal, Montréal, Qc, Canada
| | | | - Isabelle Rouleau
- Département de psychologie, Université du Québec à Montréal, Montréal, Qc, Canada.,Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Qc, Canada
| | - Dang Khoa Nguyen
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Qc, Canada. .,Service de Neurologie, Centre Hospitalier de l'Université de Montréal, Montréal, Qc, Canada.
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21
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Case M, Shirinpour S, Zhang H, Datta YH, Nelson SC, Sadak KT, Gupta K, He B. Increased theta band EEG power in sickle cell disease patients. J Pain Res 2017; 11:67-76. [PMID: 29343982 PMCID: PMC5749555 DOI: 10.2147/jpr.s145581] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objective Pain is a major issue in the care of patients with sickle cell disease (SCD). The mechanisms behind pain and the best way to treat it are not well understood. We studied how electroencephalography (EEG) is altered in SCD patients. Methods We recruited 20 SCD patients and compared their resting state EEG to that of 14 healthy controls. EEG power was found across frequency bands using Welch's method. Electrophysiological source imaging was assessed for each frequency band using the eLORETA algorithm. Results SCD patients had increased theta power and decreased beta2 power compared to controls. Source localization revealed that areas of greater theta band activity were in areas related to pain processing. Imaging parameters were significantly correlated to emergency department visits, which indicate disease severity and chronic pain intensity. Conclusion The present results support the pain mechanism referred to as thalamocortical dysrhythmia. This mechanism causes increased theta power in patients. Significance Our findings show that EEG can be used to quantitatively evaluate differences between controls and SCD patients. Our results show the potential of EEG to differentiate between different levels of pain in an unbiased setting, where specific frequency bands could be used as biomarkers for chronic pain.
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Affiliation(s)
| | | | | | | | - Stephen C Nelson
- Pediatric Hematology-Oncology, Children's Hospitals and Clinics of Minnesota
| | - Karim T Sadak
- Pediatric Hematology-Oncology, University of Minnesota Masonic Children's Hospital
| | | | - Bin He
- Department of Biomedical Engineering.,Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, USA
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22
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Kedia G, Mussweiler T, Adam R, Ischebeck A, Ihssen N, Linden DEJ. So pretty! The neural correlates of self-other vs familiar-other attractiveness comparisons. Soc Neurosci 2017; 14:41-52. [DOI: 10.1080/17470919.2017.1397544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Gayannée Kedia
- Department of Psychology, University of Cologne, Cologne, Germany
- Department of Psychology, University of Graz, Graz, Austria
| | | | - Ruth Adam
- Institute for Stroke and Dementia Research, Ludwig-Maximilian-University of Munich, Munich, Germany
| | - Anja Ischebeck
- Department of Psychology, University of Graz, Graz, Austria
| | - Niklas Ihssen
- Department of Psychology, Durham University, Durham, UK
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23
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Kopel R, Emmert K, Scharnowski F, Haller S, Van De Ville D. Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training. IEEE Trans Biomed Eng 2017; 64:1228-1237. [DOI: 10.1109/tbme.2016.2598818] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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24
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Emmert K, Breimhorst M, Bauermann T, Birklein F, Rebhorn C, Van De Ville D, Haller S. Active pain coping is associated with the response in real-time fMRI neurofeedback during pain. Brain Imaging Behav 2017; 11:712-721. [PMID: 27071949 PMCID: PMC5486591 DOI: 10.1007/s11682-016-9547-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback is used as a tool to gain voluntary control of activity in various brain regions. Little emphasis has been put on the influence of cognitive and personality traits on neurofeedback efficacy and baseline activity. Here, we assessed the effect of individual pain coping on rt-fMRI neurofeedback during heat-induced pain. Twenty-eight healthy subjects completed the Coping Strategies Questionnaire (CSQ) prior to scanning. The first part of the fMRI experiment identified target regions using painful heat stimulation. Then, subjects were asked to down-regulate the pain target brain region during four neurofeedback runs with painful heat stimulation. Functional MRI analysis included correlation analysis between fMRI activation and pain ratings as well as CSQ ratings. At the behavioral level, the active pain coping (first principal component of CSQ) was correlated with pain ratings during neurofeedback. Concerning neuroimaging, pain sensitive regions were negatively correlated with pain coping. During neurofeedback, the pain coping was positively correlated with activation in the anterior cingulate cortex, prefrontal cortex, hippocampus and visual cortex. Thermode temperature was negatively correlated with anterior insula and dorsolateral prefrontal cortex activation. In conclusion, self-reported pain coping mechanisms and pain sensitivity are a source of variance during rt-fMRI neurofeedback possibly explaining variations in regulation success. In particular, active coping seems to be associated with successful pain regulation.
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Affiliation(s)
- Kirsten Emmert
- Department of Radiology and Medical Informatics, CIBM, University Hospital Geneva, Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
- Medical Image Processing Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
| | - Markus Breimhorst
- Department of Neurology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Thomas Bauermann
- Institute of Neuroradiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Frank Birklein
- Department of Neurology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Cora Rebhorn
- Department of Neurology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Dimitri Van De Ville
- Department of Radiology and Medical Informatics, CIBM, University Hospital Geneva, Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland
- Medical Image Processing Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sven Haller
- Affidea Centre de Diagnostic Radiologique de Carouge CDRC, Geneva, Switzerland
- Faculty of Medicine of the University of Geneva, Geneva, Switzerland
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Department of Neuroradiology, University Hospital Freiburg, Freiburg im Breisgau, Germany
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25
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Krause F, Benjamins C, Lührs M, Eck J, Noirhomme Q, Rosenke M, Brunheim S, Sorger B, Goebel R. Real-time fMRI-based self-regulation of brain activation across different visual feedback presentations. BRAIN-COMPUTER INTERFACES 2017. [DOI: 10.1080/2326263x.2017.1307096] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Florian Krause
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
| | - Caroline Benjamins
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
| | - Michael Lührs
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
| | - Judith Eck
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
| | - Quentin Noirhomme
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
| | - Mona Rosenke
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Sascha Brunheim
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Bettina Sorger
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Rainer Goebel
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Research and Development, Brain Innovation B.V., Maastricht, The Netherlands
- Department of Neuroimaging and Neuromodeling, Royal Netherlands Academy of Arts and Sciences (KNAW), Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
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26
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Yahata N, Kasai K, Kawato M. Computational neuroscience approach to biomarkers and treatments for mental disorders. Psychiatry Clin Neurosci 2017; 71:215-237. [PMID: 28032396 DOI: 10.1111/pcn.12502] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 12/19/2016] [Accepted: 12/25/2016] [Indexed: 01/21/2023]
Abstract
Psychiatry research has long experienced a stagnation stemming from a lack of understanding of the neurobiological underpinnings of phenomenologically defined mental disorders. Recently, the application of computational neuroscience to psychiatry research has shown great promise in establishing a link between phenomenological and pathophysiological aspects of mental disorders, thereby recasting current nosology in more biologically meaningful dimensions. In this review, we highlight recent investigations into computational neuroscience that have undertaken either theory- or data-driven approaches to quantitatively delineate the mechanisms of mental disorders. The theory-driven approach, including reinforcement learning models, plays an integrative role in this process by enabling correspondence between behavior and disorder-specific alterations at multiple levels of brain organization, ranging from molecules to cells to circuits. Previous studies have explicated a plethora of defining symptoms of mental disorders, including anhedonia, inattention, and poor executive function. The data-driven approach, on the other hand, is an emerging field in computational neuroscience seeking to identify disorder-specific features among high-dimensional big data. Remarkably, various machine-learning techniques have been applied to neuroimaging data, and the extracted disorder-specific features have been used for automatic case-control classification. For many disorders, the reported accuracies have reached 90% or more. However, we note that rigorous tests on independent cohorts are critically required to translate this research into clinical applications. Finally, we discuss the utility of the disorder-specific features found by the data-driven approach to psychiatric therapies, including neurofeedback. Such developments will allow simultaneous diagnosis and treatment of mental disorders using neuroimaging, thereby establishing 'theranostics' for the first time in clinical psychiatry.
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Affiliation(s)
- Noriaki Yahata
- Department of Youth Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mitsuo Kawato
- ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
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27
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Yu CX, Ji TT, Song H, Li B, Han Q, Li L, Zhuo ZZ. Abnormality of spontaneous brain activities in patients with chronic neck and shoulder pain: A resting-state fMRI study. J Int Med Res 2017; 45:182-192. [PMID: 28222620 PMCID: PMC5536581 DOI: 10.1177/0300060516679345] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Objectives Chronic gneck and shoulder pain (CNSP) is a common clinical symptom of cervical spondylotic radiculopathy. Several studies using resting-state functional magnetic resonance imaging (rs-fMRI) have reported that most chronic pain diseases are accompanied by structural and functional changes in the brain. However, few rs-fMRI studies have examined CNSP. The current study investigated cerebral structural and functional changes in CNSP patients. Methods In total, 25 CNSP patients and 20 healthy volunteers participated in the study. 3D-T1W and rs-fMRI images were acquired. Voxel-based morphometry analysis was applied to structural images, and regional homogeneity (ReHo) was extracted from rs-fMRI. Statistical analysis was performed on post-processing images and ReHo parameter maps. Results The results revealed no significant differences in brain structure between the two groups. In the patient group, ReHo values were significantly increased in the bilateral middle frontal gyrus and decreased in the left insula, superior frontal gyrus, middle cingulate gyrus, supplementary motor area, right postcentral gyrus, and superior parietal lobule. Conclusions This initial structural and rs-fMRI study of CNSP revealed characteristic features of spontaneous brain activity of CNSP patients. These findings may be helpful for increasing our understanding of the neuropathology of CNSP.
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Affiliation(s)
- Cheng-Xin Yu
- 1 Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University and Yichang Central People's Hospital, Yichang, Hubei, China
| | - Ting-Ting Ji
- 1 Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University and Yichang Central People's Hospital, Yichang, Hubei, China
| | - Hao Song
- 1 Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University and Yichang Central People's Hospital, Yichang, Hubei, China
| | - Bo Li
- 1 Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University and Yichang Central People's Hospital, Yichang, Hubei, China
| | - Qiang Han
- 1 Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University and Yichang Central People's Hospital, Yichang, Hubei, China
| | - Liang Li
- 1 Department of Radiology, The First College of Clinical Medical Science of China Three Gorges University and Yichang Central People's Hospital, Yichang, Hubei, China
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Sorger B, Kamp T, Weiskopf N, Peters JC, Goebel R. When the Brain Takes 'BOLD' Steps: Real-Time fMRI Neurofeedback Can Further Enhance the Ability to Gradually Self-regulate Regional Brain Activation. Neuroscience 2016; 378:71-88. [PMID: 27659118 PMCID: PMC5953410 DOI: 10.1016/j.neuroscience.2016.09.026] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Revised: 08/02/2016] [Accepted: 09/12/2016] [Indexed: 01/07/2023]
Abstract
Humans are able to gradually self-regulate regional brain activation by applying cognitive strategies. Providing rtfMRI neurofeedback can enhance the gradual self-regulation ability. Findings are generalizable to various mental tasks and clinical MR field strengths. Novel parametric activation paradigm enriches spectrum of rtfMRI-neurofeedback and BCI methodology.
Brain-computer interfaces (BCIs) based on real-time functional magnetic resonance imaging (rtfMRI) are currently explored in the context of developing alternative (motor-independent) communication and control means for the severely disabled. In such BCI systems, the user encodes a particular intention (e.g., an answer to a question or an intended action) by evoking specific mental activity resulting in a distinct brain state that can be decoded from fMRI activation. One goal in this context is to increase the degrees of freedom in encoding different intentions, i.e., to allow the BCI user to choose from as many options as possible. Recently, the ability to voluntarily modulate spatial and/or temporal blood oxygenation level-dependent (BOLD)-signal features has been explored implementing different mental tasks and/or different encoding time intervals, respectively. Our two-session fMRI feasibility study systematically investigated for the first time the possibility of using magnitudinal BOLD-signal features for intention encoding. Particularly, in our novel paradigm, participants (n = 10) were asked to alternately self-regulate their regional brain-activation level to 30%, 60% or 90% of their maximal capacity by applying a selected activation strategy (i.e., performing a mental task, e.g., inner speech) and modulation strategies (e.g., using different speech rates) suggested by the experimenters. In a second step, we tested the hypothesis that the additional availability of feedback information on the current BOLD-signal level within a region of interest improves the gradual-self regulation performance. Therefore, participants were provided with neurofeedback in one of the two fMRI sessions. Our results show that the majority of the participants were able to gradually self-regulate regional brain activation to at least two different target levels even in the absence of neurofeedback. When provided with continuous feedback on their current BOLD-signal level, most participants further enhanced their gradual self-regulation ability. Our findings were observed across a wide variety of mental tasks and across clinical MR field strengths (i.e., at 1.5 T and 3 T), indicating that these findings are robust and can be generalized across mental tasks and scanner types. The suggested novel parametric activation paradigm enriches the spectrum of current rtfMRI-neurofeedback and BCI methodology and has considerable potential for fundamental and clinical neuroscience applications.
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Affiliation(s)
- Bettina Sorger
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (M-BIC), Maastricht, The Netherlands.
| | - Tabea Kamp
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (M-BIC), Maastricht, The Netherlands
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Judith Caroline Peters
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (M-BIC), Maastricht, The Netherlands; Department of Neuroimaging and Neuromodeling, Netherlands Institute for Neuroscience, An institute of the Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, The Netherlands
| | - Rainer Goebel
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (M-BIC), Maastricht, The Netherlands; Department of Neuroimaging and Neuromodeling, Netherlands Institute for Neuroscience, An institute of the Royal Netherlands Academy of Arts and Sciences (KNAW), Amsterdam, The Netherlands
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Abstract
Pain is a complex sensory and emotional experience that is heavily influenced by prior experience and expectations of pain. Before the development of noninvasive human brain imaging, our grasp of the brain's role in pain processing was limited to data from postmortem studies, direct recording of brain activity, patient experience and stimulation during neurosurgical procedures, and animal models of pain. Advances made in neuroimaging have bridged the gap between brain activity and the subjective experience of pain and allowed us to better understand the changes in the brain that are associated with both acute and chronic pain. Additionally, cognitive influences on pain such as attention, anticipation, and fear can now be directly observed, allowing for the interpretation of the neural basis of the psychological modulation of pain. The use of functional brain imaging to measure changes in endogenous neurochemistry has increased our understanding of how states of increased resilience and vulnerability to pain are maintained.
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Affiliation(s)
- Debbie L Morton
- Human Pain Research Group, Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Javin S Sandhu
- Human Pain Research Group, Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Anthony Kp Jones
- Human Pain Research Group, Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
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Insular Cortex is Critical for the Perception, Modulation, and Chronification of Pain. Neurosci Bull 2016; 32:191-201. [PMID: 26898298 DOI: 10.1007/s12264-016-0016-y] [Citation(s) in RCA: 149] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 12/22/2015] [Indexed: 12/20/2022] Open
Abstract
An increasing body of neuroimaging and electrophysiological studies of the brain suggest that the insular cortex (IC) integrates multimodal salient information ranging from sensation to cognitive-affective events to create conscious interoception. Especially with regard to pain experience, the IC has been supposed to participate in both sensory-discriminative and affective-motivational aspects of pain. In this review, we discuss the latest data proposing that subregions of the IC are involved in isolated pain networks: the posterior sensory circuit and the anterior emotional network. Due to abundant connections with other brain areas, the IC is likely to serve as an interface where cross-modal shaping of pain occurs. In chronic pain, however, this mode of emotional awareness and the modulation of pain are disrupted. We highlight some of the molecular mechanisms underlying the changes of the pain modulation system that contribute to the transition from acute to chronic pain in the IC.
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Emmert K, Kopel R, Sulzer J, Brühl AB, Berman BD, Linden DEJ, Horovitz SG, Breimhorst M, Caria A, Frank S, Johnston S, Long Z, Paret C, Robineau F, Veit R, Bartsch A, Beckmann CF, Van De Ville D, Haller S. Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated? Neuroimage 2015; 124:806-812. [PMID: 26419389 DOI: 10.1016/j.neuroimage.2015.09.042] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 08/16/2015] [Accepted: 09/19/2015] [Indexed: 10/23/2022] Open
Abstract
An increasing number of studies using real-time fMRI neurofeedback have demonstrated that successful regulation of neural activity is possible in various brain regions. Since these studies focused on the regulated region(s), little is known about the target-independent mechanisms associated with neurofeedback-guided control of brain activation, i.e. the regulating network. While the specificity of the activation during self-regulation is an important factor, no study has effectively determined the network involved in self-regulation in general. In an effort to detect regions that are responsible for the act of brain regulation, we performed a post-hoc analysis of data involving different target regions based on studies from different research groups. We included twelve suitable studies that examined nine different target regions amounting to a total of 175 subjects and 899 neurofeedback runs. Data analysis included a standard first- (single subject, extracting main paradigm) and second-level (single subject, all runs) general linear model (GLM) analysis of all participants taking into account the individual timing. Subsequently, at the third level, a random effects model GLM included all subjects of all studies, resulting in an overall mixed effects model. Since four of the twelve studies had a reduced field of view (FoV), we repeated the same analysis in a subsample of eight studies that had a well-overlapping FoV to obtain a more global picture of self-regulation. The GLM analysis revealed that the anterior insula as well as the basal ganglia, notably the striatum, were consistently active during the regulation of brain activation across the studies. The anterior insula has been implicated in interoceptive awareness of the body and cognitive control. Basal ganglia are involved in procedural learning, visuomotor integration and other higher cognitive processes including motivation. The larger FoV analysis yielded additional activations in the anterior cingulate cortex, the dorsolateral and ventrolateral prefrontal cortex, the temporo-parietal area and the visual association areas including the temporo-occipital junction. In conclusion, we demonstrate that several key regions, such as the anterior insula and the basal ganglia, are consistently activated during self-regulation in real-time fMRI neurofeedback independent of the targeted region-of-interest. Our results imply that if the real-time fMRI neurofeedback studies target regions of this regulation network, such as the anterior insula, care should be given whether activation changes are related to successful regulation, or related to the regulation process per se. Furthermore, future research is needed to determine how activation within this regulation network is related to neurofeedback success.
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Affiliation(s)
- Kirsten Emmert
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Medical Image Processing Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
| | - Rotem Kopel
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Medical Image Processing Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - James Sulzer
- Department of Mechanical Engineering, University of Texas at Austin, Austin, TX, USA
| | - Annette B Brühl
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland; Department of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Brian D Berman
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University School of Medicine, Cardiff University, Cardiff, UK
| | - Silvina G Horovitz
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Markus Breimhorst
- Department of Neurology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Andrea Caria
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen, Germany
| | - Sabine Frank
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen, Germany
| | | | - Zhiying Long
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Christian Paret
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University Mannheim, Germany; Department for Neuroimaging, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University Mannheim, Germany
| | - Fabien Robineau
- Laboratory for Neurology and Imaging of Cognition, Department of Neurosciences, University of Geneva, Switzerland
| | - Ralf Veit
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
| | - Andreas Bartsch
- Department of Neuroradiology, University of Heidelberg, Heidelberg, Germany; Department of Neuroradiology, University of Würzburg, Würzburg, Germany; FMRIB Centre, University of Oxford, Oxford, UK; Department of Radiology, Bamberg Hospital, Germany
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, The Netherlands; Radboud University Medical Centre, Department of Cognitive Neuroimaging, Nijmegen, The Netherlands; Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neuroscience, University of Oxford, UK
| | - Dimitri Van De Ville
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland; Medical Image Processing Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sven Haller
- Affidea Centre de Diagnostique Radiologique de Carouge CDRC, Geneva, Switzerland; Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden; Department of Neuroradiology, University Hospital Freiburg, Germany; Faculty of Medicine of the University of Geneva, Switzerland
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32
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Hu H, Li S, Li S. Pain modulation effect of breathing-controlled electrical stimulation (BreEStim) is not likely to be mediated by deep and fast voluntary breathing. Sci Rep 2015; 5:14228. [PMID: 26382644 PMCID: PMC4585654 DOI: 10.1038/srep14228] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Accepted: 08/20/2015] [Indexed: 11/29/2022] Open
Abstract
Voluntary breathing-controlled electrical stimulation (BreEStim), a novel non-invasive and non-pharmacological treatment protocol for neuropathic pain management, was reported to selectively reduce the affective component of pain possibly by increasing pain threshold. The underlying mechanisms involved in the analgesic effect of BreEStim were considered to result from combination of multiple internal pain coping mechanisms triggered during BreEStim. Findings from our recent studies have excluded possible roles of acupuncture and aversiveness and habituation of painful electrical stimulation in mediating the analgesia effect of BreEStim. To further investigate the possible role of voluntary breathing during BreEStim, the effectiveness of fast and deep voluntary breathing-only and BreEStim on experimentally induced pain was compared in healthy human subjects. Results showed no change in electrical pain threshold after Breathing-only, but a significant increase in electrical pain threshold after BreEStim. There was no statistically significant change in other thresholds after Breathing-only and BreEStim. The findings suggest that the analgesic effect of BreEStim is not likely attributed to fast and deep voluntary breathing. Possible mechanisms are discussed.
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Affiliation(s)
- Huijing Hu
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX, USA.,Neurorehabilitation Research Laboratory, TIRR Memorial Hermann Research Center, Houston, TX, USA.,Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, China
| | - Shengai Li
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX, USA.,Neurorehabilitation Research Laboratory, TIRR Memorial Hermann Research Center, Houston, TX, USA
| | - Sheng Li
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX, USA.,Neurorehabilitation Research Laboratory, TIRR Memorial Hermann Research Center, Houston, TX, USA
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Mathiak KA, Alawi EM, Koush Y, Dyck M, Cordes JS, Gaber TJ, Zepf FD, Palomero-Gallagher N, Sarkheil P, Bergert S, Zvyagintsev M, Mathiak K. Social reward improves the voluntary control over localized brain activity in fMRI-based neurofeedback training. Front Behav Neurosci 2015; 9:136. [PMID: 26089782 PMCID: PMC4452886 DOI: 10.3389/fnbeh.2015.00136] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Accepted: 05/11/2015] [Indexed: 11/17/2022] Open
Abstract
Neurofeedback (NF) based on real-time functional magnetic resonance imaging (rt-fMRI) allows voluntary regulation of the activity in a selected brain region. For the training of this regulation, a well-designed feedback system is required. Social reward may serve as an effective incentive in NF paradigms, but its efficiency has not yet been tested. Therefore, we developed a social reward NF paradigm and assessed it in comparison with a typical visual NF paradigm (moving bar). We trained twenty-four healthy participants, on three consecutive days, to control activation in dorsal anterior cingulate cortex (ACC) with fMRI-based NF. In the social feedback group, an avatar gradually smiled when ACC activity increased, whereas in the standard feedback group, a moving bar indicated the activation level. In order to assess a transfer of the NF training both groups were asked to up-regulate their brain activity without receiving feedback immediately before and after the NF training (pre- and post-test). Finally, the effect of the acquired NF training on ACC function was evaluated in a cognitive interference task (Simon task) during the pre- and post-test. Social reward led to stronger activity in the ACC and reward-related areas during the NF training when compared to standard feedback. After the training, both groups were able to regulate ACC without receiving feedback, with a trend for stronger responses in the social feedback group. Moreover, despite a lack of behavioral differences, significant higher ACC activations emerged in the cognitive interference task, reflecting a stronger generalization of the NF training on cognitive interference processing after social feedback. Social reward can increase self-regulation in fMRI-based NF and strengthen its effects on neural processing in related tasks, such as cognitive interference. A particular advantage of social feedback is that a direct external reward is provided as in natural social interactions, opening perspectives for implicit learning paradigms.
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Affiliation(s)
- Krystyna A Mathiak
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany ; Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University Aachen, Germany
| | - Eliza M Alawi
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
| | - Yury Koush
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany ; Department of Radiology and Medical Informatics, University of Geneva Geneva, Switzerland ; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | - Miriam Dyck
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
| | - Julia S Cordes
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
| | - Tilman J Gaber
- Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany ; Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University Aachen, Germany
| | - Florian D Zepf
- Department of Child and Adolescent Psychiatry, School of Psychiatry and Clinical Neurosciences and School of Paediatrics and Child Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Western Australia (M561) Perth, WA, Australia ; Specialised Child and Adolescent Mental Health Services, Department of Health in Western Australia Perth, WA, Australia
| | | | - Pegah Sarkheil
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
| | - Susanne Bergert
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
| | - Mikhail Zvyagintsev
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
| | - Klaus Mathiak
- Department of Psychiatry, Psychotherapy and Psychosomatics, Behavioral Psychobiology, RWTH Aachen University Aachen, Germany ; Translational Brain Medicine, Jülich-Aachen Research Alliance Jülich, Aachen, Germany
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Sinha S, McGovern RA, Mikell CB, Banks GP, Sheth SA. Ablative Limbic System Surgery: Review and Future Directions. Curr Behav Neurosci Rep 2015; 2:49-59. [PMID: 31745448 PMCID: PMC6863509 DOI: 10.1007/s40473-015-0038-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The limbic system is a network of interconnected brain regions regulating emotion, memory, and behavior. Pathology of the limbic system can manifest as psychiatric disease, including obsessive-compulsive disorder and major depressive disorder. For patients with these disorders who have not responded to standard pharmacological and cognitive behavioral therapy, ablative surgery is a neurosurgical treatment option. The major ablative limbic system procedures currently used are anterior capsulotomy, dorsal anterior cingulotomy, subcaudate tractotomy, and limbic leucotomy. In this review, we include a brief history of ablative limbic system surgery leading up to its current form. Mechanistic justification for these procedures is considered in a discussion of the pathophysiology of psychiatric disease. We then discuss therapeutic efficacy as demonstrated by recent trials. Finally, we consider future directions, including the search for predictors of treatment response, the development of more precise targeting methods, and the use of advances in neuroimaging to track treatment response.
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Affiliation(s)
- Saurabh Sinha
- Division of Neurosurgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Robert A. McGovern
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY
| | - Charles B. Mikell
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY
| | - Garrett P. Banks
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY
| | - Sameer A. Sheth
- Department of Neurological Surgery, Columbia University Medical Center, New York, NY
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Guan M, Ma L, Li L, Yan B, Zhao L, Tong L, Dou S, Xia L, Wang M, Shi D. Self-regulation of brain activity in patients with postherpetic neuralgia: a double-blind randomized study using real-time FMRI neurofeedback. PLoS One 2015; 10:e0123675. [PMID: 25848773 PMCID: PMC4388697 DOI: 10.1371/journal.pone.0123675] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2014] [Accepted: 03/06/2015] [Indexed: 11/19/2022] Open
Abstract
Background A pilot study has shown that real-time fMRI (rtfMRI) neurofeedback could be an alternative approach for chronic pain treatment. Considering the relative small sample of patients recruited and not strictly controlled condition, it is desirable to perform a replication as well as a double-blinded randomized study with a different control condition in chronic pain patients. Here we conducted a rtfMRI neurofeedback study in a subgroup of pain patients – patients with postherpetic neuralgia (PHN) and used a different sham neurofeedback control. We explored the feasibility of self-regulation of the rostral anterior cingulate cortex (rACC) activation in patients with PHN through rtfMRI neurofeedback and regulation of pain perception. Methods Sixteen patients (46–71 years) with PHN were randomly allocated to a experimental group (n = 8) or a control group (n = 8). 2 patients in the control group were excluded for large head motion. The experimental group was given true feedback information from their rACC whereas the control group was given sham feedback information from their posterior cingulate cortex (PCC). All subjects were instructed to perform an imagery task to increase and decrease activation within the target region using rtfMRI neurofeedback. Results Online analysis showed 6/8 patients in the experimental group were able to increase and decrease the blood oxygen level dependent (BOLD) fMRI signal magnitude during intermittent feedback training. However, this modulation effect was not observed in the control group. Offline analysis showed that the percentage of BOLD signal change of the target region between the last and first training in the experimental group was significantly different from the control group’s and was also significantly different than 0. The changes of pain perception reflected by numerical rating scale (NRS) in the experimental group were significantly different from the control group. However, there existed no significant correlations between BOLD signal change and NRS change. Conclusion Patients with PHN could learn to voluntarily control over activation in rACC through rtfMRI neurofeedback and alter their pain perception level. The present study may provide new evidence that rtfMRI neurofeedback training may be a supplemental approach for chronic clinical pain management.
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Affiliation(s)
- Min Guan
- Department of Radiology, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lijia Ma
- Department of Radiology, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Li Li
- Department of Dermatology, Second People’s Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Bin Yan
- China National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China
| | - Lu Zhao
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Québec, Canada
| | - Li Tong
- China National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan, China
| | - Shewei Dou
- Department of Radiology, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Linjie Xia
- Department of Pain Management, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Meiyun Wang
- Department of Radiology, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
- * E-mail: (MW); (DS)
| | - Dapeng Shi
- Department of Radiology, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
- * E-mail: (MW); (DS)
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