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Добірка наукової літератури з теми "Pain network"

Автор: Grafiati
Опубліковано: 28 вересня 2024

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Статті в журналах з теми "Pain network"

1

Zheng, Weihao, Choong-Wan Woo, Zhijun Yao, Pavel Goldstein, Lauren Y. Atlas, Mathieu Roy, Liane Schmidt, et al. "Pain-Evoked Reorganization in Functional Brain Networks." Cerebral Cortex 30, no. 5 (December 9, 2019): 2804–22. http://dx.doi.org/10.1093/cercor/bhz276.

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Abstract Recent studies indicate that a significant reorganization of cerebral networks may occur in patients with chronic pain, but how immediate pain experience influences the organization of large-scale functional networks is not yet well characterized. To investigate this question, we used functional magnetic resonance imaging in 106 participants experiencing both noxious and innocuous heat. Painful stimulation caused network-level reorganization of cerebral connectivity that differed substantially from organization during innocuous stimulation and standard resting-state networks. Noxious stimuli increased somatosensory network connectivity with (a) frontoparietal networks involved in context representation, (b) “ventral attention network” regions involved in motivated action selection, and (c) basal ganglia and brainstem regions. This resulted in reduced “small-worldness,” modularity (fewer networks), and global network efficiency and in the emergence of an integrated “pain supersystem” (PS) whose activity predicted individual differences in pain sensitivity across 5 participant cohorts. Network hubs were reorganized (“hub disruption”) so that more hubs were localized in PS, and there was a shift from “connector” hubs linking disparate networks to “provincial” hubs connecting regions within PS. Our findings suggest that pain reorganizes the network structure of large-scale brain systems. These changes may prioritize responses to painful events and provide nociceptive systems privileged access to central control of cognition and action during pain.
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2

Meier, Sarah K., Kimberly L. Ray, Noah C. Waller, Barry C. Gendron, Semra A. Aytur, and Donald A. Robin. "Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain." Brain Sciences 11, no. 1 (December 23, 2020): 10. http://dx.doi.org/10.3390/brainsci11010010.

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Анотація:
Chronic musculoskeletal pain is a costly and prevalent condition that affects the lives of over 50 million individuals in the United States. Chronic pain leads to functional brain changes in those suffering from the condition. Not only does the primary pain network transform as the condition changes from acute to persistent pain, a state of hyper-connectivity also exists between the default mode, frontoparietal, and salience networks. Graph theory analysis has recently been used to investigate treatment-driven brain network changes. For example, current research suggests that Acceptance and Commitment Therapy (ACT) may reduce the chronic pain associated hyper-connectivity between the default mode, frontoparietal, and salience networks, as well as within the salience network. This study extended previous work by examining the associations between the three networks above and a meta-analytically derived pain network. Results indicate decreased connectivity within the pain network (including left putamen, right insula, left insula, and right thalamus) in addition to triple network connectivity changes after the four-week Acceptance and Commitment Therapy intervention.
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3

Cockett, Andrea. "Network on pain management." Paediatric Nursing 14, no. 4 (May 2002): 20. http://dx.doi.org/10.7748/paed.14.4.20.s23.

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4

Singavi, Arun, Guangyu Chen, Nancy Wandersee, Collin Hubler, Amanda M. Brandow, Pippa Simpson, Shi-Jiang Li, and Joshua J. Field. "Daily Pain Is Associated with Alterations in Functional Connectivity of the Brain on fMRI in Adults with Sickle Cell Disease." Blood 128, no. 22 (December 2, 2016): 3656. http://dx.doi.org/10.1182/blood.v128.22.3656.3656.

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Abstract Background:One-third of adults with sickle cell disease (SCD) have daily, chronic pain. Despite the high prevalence of chronic pain in adults with SCD, the mechanism of is not well defined. In other chronic pain disorders, functional MRI (fMRI) demonstrates a re-organization of the brain's connectivity, which may be maladaptive and contribute to the development of a chronic pain syndrome. We performed fMRI in adults with SCD as well as age-matched controls in order to test two hypotheses: 1) functional connectivity is different between adults with SCD and controls, and 2) differences in functional connectivity among adults with SCD are associated with a more severe pain phenotype. Methods:We performed resting-state fMRI in adults with SCD and age-matched controls. Functional connectivity was calculated using two approaches: 1) a seed-voxel approach with the seed being periaqueductal gray (PAG), an area of the brain known to inhibit pain sensation, and 2) an inter-network functional connectivity strength (FCS) analysis, in which seven brain functional networks were selected based on previous brain modularity analysis findings. To calculate the inter-network FCS between networks A and B, the summation of all functional connectivities between two networks are used. Thereafter, the networks that were significantly different in FCS between SCD and controls were used to determine the association between altered functional connectivity and pain phenotype within SCD subjects. Pain phenotype measurements in SCD subjects included a day-of-study pain score, a 15-day diary to document daily pain and opioid use, McGill pain and Pain DETECT questionnaires, and quantitative sensory testing in response to mechanical, cold, and heat stimuli. Statistical analyses were performed using FSL and Matlab software. Results: A total of 27 adults were examined, including 13 with SCD (9 HbSS, 4 HbSC) and 14 age-matched controls. Seed-based functional connectivity analyses revealed significantly decreased connectivity in SCD as compared to controls between PAG and the regions involved in pain, sensation, salience, emotion, learning, and memory (temporal gyrus, anterior/posterior insula, parahippocampal gyrus, fusiform gyrus, precunes, posterior cingulate gyrus, anterior cingulate, subcallosal gyrus, paracentral gyrus, inferior/superior parietal lobe, inferior frontal gyrus and superior temporal gyrus) (P<0.001, t-test with AlphaSim correction). Furthermore, inter-network analyses show significantly decreased FCS in SCD as compared to controls among networks involved in salience, emotion, learning, and memory (between the salience network and the striatum network, between the salience network and the temporal network, and within both the salience network and the hippocampus network) (P<0.001, t-test). When these inter-network differences in FCS between SCD subjects and controls were examined within SCD subjects to determine the association with clinical phenotype, significant associations were found with age (rs=0.63, P<0.024, Spearman correlation analysis), SCD genotype (SS vs SC) (r2=0.43, P<0.016, linear regression analysis), and number of diary days with pain score >5 (r2=0.5, P<0.011, linear regression analysis). Conclusions: In adults with SCD compared to controls, there were differences in inter-network FCS, including the salience, striatum, temporal, and hippocampus networks, which are crucial networks for salience, emotion, learning, and memory. When these inter-network FCS differences were examined within adults with SCD, significant associations were found with age, SCD genotype and number of pain days. Taken together, these data suggest that altered connectivity in the brain of adults with SCD contributes to the development of a chronic pain syndrome. These changes in functional connectivity on fMRI could be used as a biomarker to determine the efficacy of interventions targeted to decrease chronic pain. Disclosures Field: NKT Therapeutics: Research Funding; Astellas Pharmaceuticals: Research Funding.
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5

Mogil, Jeffrey S. "Friends in pain: pain tolerance in a social network." Scandinavian Journal of Pain 18, no. 3 (July 26, 2018): 343–44. http://dx.doi.org/10.1515/sjpain-2018-0072.

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6

Hosomi, Koichi, Ben Seymour, and Youichi Saitoh. "Modulating the pain network—neurostimulation for central poststroke pain." Nature Reviews Neurology 11, no. 5 (April 21, 2015): 290–99. http://dx.doi.org/10.1038/nrneurol.2015.58.

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7

Huang, Dong, Zhaoqiang Xia, Lei Li, Kunwei Wang, and Xiaoyi Feng. "Pain-awareness multistream convolutional neural network for pain estimation." Journal of Electronic Imaging 28, no. 04 (July 11, 2019): 1. http://dx.doi.org/10.1117/1.jei.28.4.043008.

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8

He, Hui, Lan Hu, Saiying Tan, Yingjie Tang, Mingjun Duan, Dezhong Yao, Guocheng Zhao, and Cheng Luo. "Functional Changes of White Matter Are Related to Human Pain Sensitivity during Sustained Nociception." Bioengineering 10, no. 8 (August 21, 2023): 988. http://dx.doi.org/10.3390/bioengineering10080988.

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Анотація:
Pain is considered an unpleasant perceptual experience associated with actual or potential somatic and visceral harm. Human subjects have different sensitivity to painful stimulation, which may be related to different painful response pattern. Excellent studies using functional magnetic resonance imaging (fMRI) have found the effect of the functional organization of white matter (WM) on the descending pain modulatory system, which suggests that WM function is feasible during pain modulation. In this study, 26 pain sensitive (PS) subjects and 27 pain insensitive (PIS) subjects were recruited based on cold pressor test. Then, all subjects underwent the cold bottle test (CBT) in normal (26 degrees temperature stimulating) and cold (8 degrees temperature stimulating) conditions during fMRI scan, respectively. WM functional networks were obtained using K-means clustering, and the functional connectivity (FC) was assessed among WM networks, as well as gray matter (GM)–WM networks. Through repeated measures ANOVA, decreased FC was observed between the GM–cerebellum network and the WM–superior temporal network, as well as the WM–sensorimotor network in the PS group under the cold condition, while this difference was not found in PIS group. Importantly, the changed FC was positively correlated with the state and trait anxiety scores, respectively. This study highlighted that the WM functional network might play an integral part in pain processing, and an altered FC may be related to the descending pain modulatory system.
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9

Seminowicz, David A., and Karen D. Davis. "Pain Enhances Functional Connectivity of a Brain Network Evoked by Performance of a Cognitive Task." Journal of Neurophysiology 97, no. 5 (May 2007): 3651–59. http://dx.doi.org/10.1152/jn.01210.2006.

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Experimental and clinical evidence indicates that pain can affect cognitive processes, but the cortical networks involved in pain-cognition interactions are unclear. In this study, we determined the effect of pain on the activity of cortical areas involved in cognition acting as a whole (i.e., a network). Subjects underwent functional magnetic resonance imaging (fMRI) while engaged in an attention-demanding cognitive task (multisource interference task) of varying difficulty and simultaneously receiving painful stimuli at varying intensities. The control (baseline) condition was simple finger tapping that had minimal cognitive demands and without pain. Functional connectivity analysis revealed a cortical network consisting of two anti-correlated parts: a task-negative part (precuneus/posterior cingulate cortex, medial frontal and inferior parietal/temporal) the activity of which correlated negatively with the cognitive task and positively with the control baseline, and a task-positive part (inferior frontal, superior parietal, premotor, and anterior insula cortices) the activity of which correlated positively with the cognitive task and negatively with the baseline. Independent components analysis revealed these opposing networks were operating at a low frequency (0.03–0.08 Hz). The functional connectivity of the task-positive network was increased by cognitive demand and by pain. We suggest this attention-specific network balances the needs of general self-referential and environmental awareness versus focused attention to salient information. We postulate that pain affects cognitive ability by its reliance on this common attention-specific network. These data provide evidence that pain can modulate a network presumed to be involved in focused attention, suggesting a mechanism for the interference of pain on cognitive ability by the consumption of attentional resources.
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10

Pereira, Naiara Lima, Mirelly Tavares Feitosa Pereira, Gisele de Souza Costa, André Luiz Machado das Neves, Izaura Rodrigues Nascimento, and Zilmar Augusto de Souza Filho. "“Body and Soul Pain”." International Journal for Innovation Education and Research 7, no. 12 (December 31, 2019): 644–57. http://dx.doi.org/10.31686/ijier.vol7.iss12.2118.

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Violence is a problem to be understood in an interdisciplinary way. This qualitative study aimed to understand the conception of women who experienced marital violence and structurally analyze their social support networks. Five women who reported their spouses to the Women’s Police Station (DECCM) and were being monitored by the Technical Team of the Women’s Emergency Support Service (SAPEM) were interviewed using a semi-structured questionnaire. A constructive-interpretive analysis was performed to identify the conceptions of experience of marital violence and through the Calgary Family Assessment Model (CFAM) it was possible to make an analysis and a graphic representation of the social support network for the women participating in this study. In general, it was observed that all women understand physical violence as actions that cause damage to the human anatomical and physiological structure. However, their conceptions are not limited to physical injury; they are also related to affective issues. For the participants, conjugal violence is not fragmented into “types of violence”, on the contrary, it occurs “agglutinated”, affecting the body and soul. Regarding the development of women’s social support network, they all have a family member as support – usually sons/daughters or mothers – and most of them count on the SAPEM technical team. The police station/police is also part of the network. Therefore, these tactics used in the social support network structure have different mechanisms by which the women reorganized their stories, electing some people and/or institutions, excluding others, highlighting this or that person and/or institution to make them agents for minimizing threatening behavior to themselves and their families. These people, when called in, seem to act either to curb violence and to strengthen the couple’s marital bonds or to break these bonds
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Більше джерел

Дисертації з теми "Pain network"

1

Rissacher, Daniel J. "Neural network recognition of pain state in EEG recordings." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/16646.

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2

Boshoff, Susan. "Absenteeism and musculoskeletal pain : an interactive network of variables." Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/3367.

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3

Awang, Mahmud Awang Bulgiba. "Application of statistical and neural network techniques to chest pain diagnosis." Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430583.

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Samineni, Vijaya K. "The role of the periaqueductal gray in modulation of acute and chronic pain: Actions of drugs with analgesic properties on periaqueductal gray neuronal network." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/dissertations/701.

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Considerable evidence suggests the involvement of the ventrolateral periaqueductal gray (PAG) in both inhibitory and facilitatory actions within modulatory pathways for pain, The PAG is a critical nucleus in these pain networks and receives and sends extensive projections within these networks. Chronic pain is a major side effect in 30-70% of cancer patients receiving chemotherapeutic regimen. Endocannabinoids, such as anandamide (AEA), are lipid neuromodulators in the CNS that affect nociception. AEA is known to activate cannabinoid (CB1) as well as transient receptor potential vanilloid 1 (TRPV1) receptors, which are involved in nociception. Previous studies have shown that PAG is a crucial site for EC- mediated analgesia. Hypothesis one of my project is blockade of AEA uptake in the PAG will induce analgesic effects, which are mediated by CB1 and/or TRPV1 receptors. My results indicate that focal bilateral microinjection of AM404, an AEA uptake inhibitor, into the PAG induced analgesia to noxious thermal stimuli (radiant heat) both in normal and paclitaxel-treated (2 mg/kg i.p. for 4 alternate days). This analgesia was mainly mediated by both CB1 and TRPV1 receptors in the PAG in normal and by CB1 receptors in paxlitaxel-treated rats. Several studies have demonstrated that post-ictal analgesia is observed following drug-induced generalized seizures in rats. My second hypothesis is that post-ictal analgesia will occur after audiogenic seizure (AGS) induction, in genetically epilepsy prone rats (GEPR-9s), and blockade of CB1 receptors in the PAG will inhibit the analgesic effects that occur during the post-ictal period. My results indicate that induction of AGS resulted in post-ictal analgesia in GEPR-9s to noxious thermal stimuli, which was blocked upon microinjection of a CB1 receptor antagonist into the PAG suggesting a crucial role of PAG in post-ictal analgesia in GEPR-9s. Hypothesis three of my project is that, neuroplastic changes will occur in the PAG, leading to increases in neuronal firing during neuropathic pain, which will be altered by analgesic drugs. To evaluate this hypothesis, I studied the firing pattern of PAG neurons in awake behaving rats to noxious thermal stimuli. This involved evaluation of extracellular single unit activity using 8 channel microwire electrodes chronically-implanted in the PAG of unrestrained awake rats and examining responses to noxious thermal stimulation (Peltier device). The results indicate the presence of the three types of neuronal populations in the PAG that exhibit either "excitatory" or "Inhibitory" responses or were "non-responsive", to noxious thermal stimulus administered to the paw. Subsequently, I also investigated effects of pentobarbital on spontaneous and thermal stimulus evoked PAG neuronal firing, as has often been done in previous pain studies. Administration of low doses of pentobarbital significantly decreased PAG spontaneous firing and evoked excitatory and inhibitory PAG neuronal responses. These results suggest that the use of barbiturates to study PAG neuronal responses might have resulted in significant un-intended modifications of the fundamental properties of PAG neuron, as compared to the unanesthetized state. The PAG is important part of pain modulatory network, but the electrophysiological characteristics of PAG neurons in chronic neuropathic pain conditions are still unclear. This issue was addressed by administering a standard chronic pain protocol, using the cancer chemotherapeutic drug, paclitaxel, (2 mg/kg i.p. for 4 alternate days) which induced chronic neuropathic pain, Ten days after treatment, mean spontaneous firing rates of PAG neurons were increased significantly after paclitaxel treatment compared to the pre-paclitaxel treatment levels. PAG neurons in the neuropathic state exhibited significantly increased excitatory neuronal responses to non-noxious stimulus, similar to noxious thermal stimulation and significantly increased excitatory-like neuronal responses as compared to pre-treatment levels. Gabapentin is an anticonvulsant that acts on N type voltage sensitive calcium channels and possesses analgesic properties in chronic pain syndromes. Gabapentin did not significantly affect PAG neuronal responses to acute pain in my initial studies However, gabapentin did produce significant changes in spontaneous and thermal stimuli evoked PAG neuronal firing in paclitaxel-treated rats. Gabapentin induced significant dose-dependent decreases in the elevated spontaneous and evoked PAG neuronal firing to both non-noxious and noxious thermal stimuli in the paclitaxel model of neuropathic pain. I also investigated effects of AM404 on spontaneous and thermal stimuli evoked PAG neuronal firing in paclitaxel-treated rats, I observed that AM404 dose-dependently inhibited elevated spontaneous and evoked PAG neuronal firing in paclitaxel-treated rats. These effects were blocked by pre-treatment with CB1 receptor antagonist (AM251) suggesting a crucial role of CB1 receptor in AM404 mediated analgesic effects. These findings suggest that paclitaxel treatment could lead to plasticity in the PAG that might contribute to generation and maintenance of neuropathic pain. These findings provide the evidence that targeting endogenous cannabinoid system or inhibiting presynaptic calcium channels may be effective in treating neuropathic pain, in part, by actions on the PAG.
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5

Rogoz, Katarzyna. "Signaling Mechanisms in the Neuronal Networks of Pain and Itch." Doctoral thesis, Uppsala universitet, Genetisk utvecklingsbiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-183255.

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Glutamate is the essential neurotransmitters in pain pathways. The discovery of the vesicular glutamate transporters (VGLUT1-3) has been a fundamental step on the way to describe glutamate-dependent pain pathways. We used the Cre-lox system to construct conditional knockouts with deficient Vglut2 transmission in specific neuronal populations. We generated a Vglut2f/f;Ht-Pa-Cre line to selectively delete Vglut2 from the peripheral nervous system. These Vglut2 deficient mice showed decreased acute nociceptive responses and were less prone to develop an inflammatory state. They did not develop cold allodynia, or heat hyperalgesia and were less hypersensitive to mechanical stimuli in the PSNL chronic pain model. Further analyses of genes with altered expression after nerve injury, revealed candidates for future studies of chronic pain biomarkers. Interestingly, the Vglut2f/f;Ht-Pa-Cre mice developed an elevated itch behavior. To investigate more specific neuronal populations, we analyzed mice lacking Vglut2 in the Nav1.8 population, as inflammatory hyperalgesia, cold pain, and noxious mechanosensation have been shown to depend upon Nav1.8Cre positive sensory neurons. We showed that deleting Vglut2 in Nav1.8Cre positive neurons abolished thermal hyperalgesia in persistent inflammatory models and responses to noxious mechanical stimuli. We also demonstrated that substance P and VGLUT2-dependent glutamatergic transmission are co-required for the development of formalin-induced inflammatory pain and heat hyperalgesia in persistent inflammatory states. Deletion of Vglut2 in a subpopulation of neurons overlapping with the vanilloid receptor (TRPV1) primary afferents in the dorsal root ganglia resulted in a dramatic increase in itch behavior accompanied by a reduced responsiveness to thermal pain. Substance P signaling and VGLUT2-mediated glutamatergic transmission in TRPV1 neurons was co-required for the development of inflammatory pain states. Analyses of an itch phenotype uncovered the pathway within TRPV1 neurons, with VGLUT2 playing a regulatory role and GRPR neurons, which are to plausible converge the itch signal in the spinal cord. These studies confirmed the essential role of VGLUT2-dependent glutamatergic transmission in acute and persistent pain states and identified the roles of specific subpopulations of primary afferent neurons. Additionally, a novel pain and itch transmission pathway in TRPV1/VGLUT2 positive neurons was identified, which could be part of the gate control of pain.
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6

English, Amber. "The relationship between pain and arousal: The modulation of noxious sensation by the brain’s alerting network." Thesis, English, Amber (2017) The relationship between pain and arousal: The modulation of noxious sensation by the brain’s alerting network. Honours thesis, Murdoch University, 2017. https://researchrepository.murdoch.edu.au/id/eprint/40612/.

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The literature indicates that pain is decreased by arousal in healthy individuals. Conversely, arousal has been observed to increase pain in those with chronic pain. The present study explored the relationship between psychological arousal and pain in healthy adults (N=30). To elucidate this interaction, this study utilised an acoustic startle stimulus and electrically-induced pain, while also manipulating stimulus timing. The acoustic startle was presented prior to electrical stimulation, to act as the arousal induction. The reverse stimulus timing, the acoustic startle presented after electrical stimulation, acted as the experimental control. Using a repeated-measures design, timing effects were evaluated according to physiological responses and subjective self-ratings. The main hypothesis was that the presentation of the acoustic startle before electrical stimulation would result in significantly lower pain ratings, in comparison to electrical stimulation alone. Not only was this inhibitory effect supported but it extended to both pain and sharpness ratings, in comparison to the reverse stimulus timing. In line with predictions, pupillary responses supported that there was adequate physiological arousal in all conditions. Contradictory to predictions, stimulus timing did not significantly alter pupillary responses or spinal nociceptive reflexes. These physiological outcomes were inconsistent with the interaction found between stimulus timing and participant ratings. Additionally, Pain Catastrophizing did not correlate with the other pain measures and thus was not included in the other analyses. Together, these findings suggest that prior activation of arousal significantly inhibits the experience of pain in healthy individuals’, at a purely supra-spinal level. Keywords: pain, nociception, arousal, descending inhibition, spinal reflex, pupillometry
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7

Snyder, Kristian. "Utilizing Convolutional Neural Networks for Specialized Activity Recognition: Classifying Lower Back Pain Risk Prediction During Manual Lifting." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1583999458096255.

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8

Alharbi, Ghaleb. "Evidence-based medicine in neuropathic pain : a systematic review, meta-analysis, sequential analysis and network meta-analysis of randomised controlled trials." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/55427/.

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Background Many randomised controlled trials (RCTs) are available to support using different pharmacotherapy agents in the management of various neuropathic pain conditions. However, choosing these pharmacotherapy agents for neuropathic pain is challenging, due to the limited evidence-based knowledge to support the use of different pharmacotherapy agents in different neuropathic pain conditions. Aims The aim of this PhD is to evaluate the efficacy and safety of oral and topical pharmacotherapies for managing neuropathic pain by deriving placebo and active comparative efficacy and safety evidence from RCTs. Methods This research used three approaches to summarise and synthesise evidence from randomised controlled studies including: a systematic review of placebo and active control RCTs to summarise and criticise the current evidence in neuropathic pain; a meta-analysis and sequential analysis of eligible studies to provide a more precise estimate of the overall treatment effects; and a network meta-analysis to estimate the relative effectiveness of the most commonly used interventions in neuropathic pain. Results Systematic review Two hundred placebo and active-controlled trials met the inclusion criteria. A wide range of different treatments were studied in these trials, including anticonvulsants, antidepressants, opioids and topical capsaicin and lidocaine. Most of the included studies were parallel placebo-controlled trials and commonly lasted for 3 to 12 weeks. In addition, the vast majority of the included RCTs were conducted in participants with painful diabetic neuropathy and post-herpetic neuralgia, while only a few trials were conducted in participants with central neuropathic pain conditions. Pairwise meta-analysis Sixty seven trials were eligible for the pairwise meta analysis of efficacy outcomes. Of the anticonvulsants group pregabalin and gabapentin compared with placebo demonstrated efficacy for 50% and 30% pain reduction and global improvement in patients with neuropathic pain. The efficacy of anticonvulsants varied in different types of neuropathic pain. Gabapentin when compared against a placebo was better than a placebo in PHN and PDN, while pregabalin was significantly effective in patients with post-herpetic neuralgia (PHN) and painful diabetic neuropathy (PDN) but not in patients with HIV associated neuropathic pain. Others anticonvulsant agents, such as lamotrigine, valproic acid, topiramate, levetiracetam and oxcarbazepine, were tested in a small number of trials. These did not provide useful benefits compared with a placebo for a 50% and 30% pain reduction. Of the antidepressant group, duloxetine when compared to a placebo demonstrated efficacy for 50% and 30% pain reduction in diabetic neuropathic pain. A few active comparison trials failed to demonstrate superior efficacy of one drug over another for a 50% and 30% reduction in neuropathic pain. Trial sequential analysis To examine the reliability and conclusiveness of the available evidence, trialsequential analysis has been applied in this study. The results show convincing evidence of the efficacy of some interventions (e.g. pregabalin, gabapentin and duloxetine) to reduce pain by 50% in some neuropathic pain conditions (e.g. diabetic neuropathic pain and post-herpetic neuralgia). The continuation of RCTs of pregabalin and duloxetine in diabetic neuropathy and gabapentin in post-herpetic neuralgia is not necessary as there appears to be sufficient evidence of the efficacy of these treatments in the management diabetic neuropathic pain and post herpetic neuralgia. Further RCTs of duloxetine, pregabalin and gabapentin are however required for central neuropathic pain. In contrast, the analysis failed to provide evidence that opioids and high concentration capsaicin demonstrate a 50% pain reduction. Network meta-analysis Twenty-eight trials were eligible for the network meta-analysis. The results incorporating both direct-comparison and indirect-comparison evidence suggested that there is no superiority of duloxetine over amitriptyline, pregabalin and gabapentin in achieving at least a 30% and 50% pain reduction with a treatment duration of 7 to 12 weeks in patients with neuropathic pain conditions, such as diabetic neuropathic pain, postherpetic neuralgia and spinal cord injury. Conclusions In summary, this research has found that some good quality trials provide good evidence regarding the efficacy of duloxetine, pregabalin and gabapentin in a minority of patients with neuropathic pain. Until advancements in developing mechanism-based approaches and improved clinical trial design become available, the routine use of these medications is unlikely to be changed. This may support the hypothesis that traditional RCTs might not be a suitable method of choice to address provisional health questions in routine clinical practice.
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9

Cazzanelli, Silvia. "Functional ultrasound (fUS) imaging of brain functional connectivity alterations in a mouse model of neuropathic pain : impact of nociceptive symptoms and associated comorbidities." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLS010.

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La douleur neuropathique est une sensation de douleur anormale qui persiste au-delà du cours temporel de la guérison naturelle. Elle interfère avec la qualité de vie du patient et est associée à plusieurs comorbidités telles que l'anxiété et la dépression. Des études antérieures ont suggéré que la douleur chronique pourrait résulter d’une plasticité neuronale anormale et inadaptée dans les structures connues pour être impliquées dans la perception de la douleur (Bliss et al. 2016). Cela signifie qu'une lésion nerveuse déclencherait une potentialisation à long terme de la transmission synaptique dans les aires cérébrales liées à la douleur (Zhuo et al. 2014). Comme ces régions sont également impliquées dans les aspects émotionnels de la douleur, notre hypothèse est que la plasticité inadaptée susmentionnée dans ces zones cérébrales pourrait constituer un mécanisme clé pour le développement de comorbidités, telles que l'anxiété et la dépression.Au cours de ma thèse, nous avons choisi de tester cette hypothèse de travail par l’étude des altérations de la connectivité fonctionnelle (CF) intrinsèque des réseaux cérébraux par imagerie fonctionnelle ultrasonore (fUS) dans un modèle murin de douleur neuropathique. Cette technique de neuro-imagerie relativement récente a permis de nombreuses avancées en neurosciences, grâce à sa haute résolution spatio-temporelle, à sa sensibilité, mais aussi son adaptabilité, permettant des études chez l’animal anesthésié ou éveillé.Dans une première étude, j’ai mis au point un protocole expérimental permettant d’imager le cerveau des souris éveillées de façon reproductible et avec un minimum de stress et d artefacts de mouvements et ai également été impliquée dans le développement d’un nouvel algorithme d’analyse des signaux générées par ces acquisitions. Cette première approche étant réalisée avec une sonde linéaire en mouvement qui ne permet pas de visualiser l’entièreté du cerveau, dans une seconde étude, j’ai participe au développement d’une nouvelle technologie de sonde compilées et motorisée.Fort de ces développements technologiques, j’ai alors utilisé ces nouvelles approches pour tester mon hypothèse neurobiologique. J’ai entrepris deux études en parallèle chez des animaux anesthésiés pour l’une et éveillés pour la seconde, chez lesquelles nous avons étudié le lien temporel entre les altérations de la CF cérébrale et le développement de la douleur neuropathique et/ou des comorbidités associées. Pour cela, nous avons mesuré la CF (en période de repos) chez des souris atteintes de douleur neuropathique, à trois moments différents : I) 2 semaines après l’induction de la douleur neuropathique (manchon autour du nerf sciatique) II) à 8 semaines post-induction, lorsque l'anxiété émerge et III) à 12 semaines post-induction, lorsque la dépression apparait (12W). Ce suivi longitudinal a également été réalisé en parallèle sur un groupe d’animaux contrôles.Nos résultats indiquent des changements significatifs de la CF dans les principales régions cérébrales impliquées dans la transmission ou la modulation de la sensibilité ou de la douleur, suggérant la mise en place d’une plasticité inadaptée du réseau de la douleur, suite à la lésion nerveuse. De plus, nous observons une évolution temporelle de ces altérations, potentiellement corrélée à l'apparition des comorbidités associées. Ainsi, ces mécanismes pourraient participer à la chronicisation de la douleur
Neuropathic pain is an abnormal pain sensation that persists longer than the temporal course of natural healing. It interferes with the patient’s quality of life and leads to several comorbidities, such as anxiety and depression. It has been suggested that chronic pain may result from abnormal and maladaptive neuronal plasticity in the structures known to be involved in pain perception (Bliss et al. 2016). This means that nerve injury would trigger long-term potentiation of synaptic transmission in pain-related areas (Zhuo et al. 2014). Since these regions are also involved in the emotional aspects of pain, our hypothesis is that the aforementioned maladaptive plasticity in these brain areas could constitute a key mechanism for the development of comorbidities such as anxiety and depression.My PhD aimed at testing this working hypothesis, through the study of brain resting state functional connectivity (FC) using functional ultrasound imaging (fUS) in a mouse model of neuropathic pain. FUS is a relatively recent neuroimaging technique that enabled numerous advances in neuroscience, thanks to its high spatio-temporal resolution, its sensitivity, but also its adaptability, allowing studies in anesthetized or awake animals.In a first study, I developed an experimental protocol allowing the brains of awake mice to be imaged in a reproducible manner and with minimal stress and movement artifacts and was also involved in the development of a new algorithm for the analysis of the signals generated by these acquisitions. As this first approach was carried out with a moving linear probe which does not allow the entire brain to be visualized, in a second study, I participated in the development of a new compiled and motorized probe technology.Building on these technological developments, I then used these new approaches to test my neurobiological hypothesis. I undertook two parallel studies in animals anesthetized for one and awake for the second, in which we studied the temporal link between alterations in cerebral FC and the development of neuropathic pain and/or associated comorbidities. To do this, we measured the resting-state functional connectivity (FC) in anesthetized and in awake head-fixed mice, at three time points: I) 2 weeks after induction of neuropathic pain (cuff around the sciatic nerve), II) at 8 weeks post-induction during the emergence of anxiety (8W) and III) at 12 weeks post-induction during the emergence of depression. This longitudinal follow-up has been conducted concurrently on a control group.Our results show significant changes in FC in major pain-related brain regions in accordance with the development of neuropathic pain symptoms. These findings suggest that the pain network undergoes maladaptive plasticity following nerve injury which could contribute to pain chronification. Moreover, the time course of these connectivity alterations between regions of the pain network could be correlated with the subsequent apparition of associated comorbidities
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Morabit, Safaa El. "New Artificial Intelligence techniques for Computer vision based medical diagnosis." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2023. http://www.theses.fr/2023UPHF0013.

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La capacité à ressentir la douleur est cruciale pour la vie, car elle sert de système d’alerteprécoce en cas de dommages potentiels pour le corps. La majorité des évaluations dela douleur reposent sur les rapports des patients. En revanche, les patients incapablesd’exprimer leur douleur doivent plutôt se fier aux rapports de tierces personnes sur leursouffrance. En raison des biais potentiel de l’observateur, les rapports sur la douleurpeuvent contenir des inexactitudes. En outre, il serait impossible de surveiller les patients 24 heures sur 24. Afin de mieux gérer la douleur, notamment chez les patients avec des difficultés de communication, des techniques de détection automatique de la douleur pourraient être mises en œuvre pour aider les soignants et compléter leur service. Les expressions faciales sont utilisées par la plupart des systèmes d’évaluation de la douleur basés sur l’observation, car elles constituent un indicateur fiable de la douleur et peuvent être interprétées à distance.En considérant que la douleur génère généralement un comportement facial spontané, les expressions faciales pourraient être utilisées pour détecter la présence de la douleur. Dans cette thèse, nous analysons les expressions faciales de la douleur afin d’aborder l’estimation de la douleur. Tout d’abord, nous présentons une analyse approfondie du problème en comparant de nombreuses architectures CNN (réseau de neurones convolutifs) courantes, telles que MobileNet, GoogleNet, ResNeXt-50, ResNet18et DenseNet-161. Nous utilisons ces réseaux dans deux modes uniques : autonome et extraction de caractéristiques. En mode autonome, les modèles (c’est-à-dire les réseaux)sont utilisés pour estimer directement la douleur. En mode extracteur de caractéristiques, les "valeurs" de la couche intermédiaire sont extraites et introduites dans desclassificateurs tels que la régression à vecteur de support (SVR) et la régression à forêtsd’arbres décisionnels (RFR).Les CNN ont obtenu des résultats significatifs dans la classification d’images et ontconnu un grand succès. Plus récemment, l’efficacité des Transformers en vision par ordinateur a été démontrée par plusieurs études. Des architectures basées sur les Transformers ont été proposées dans la deuxième section de cette thèse. Ces deux architectures distinctes ont été présentées pour répondre à deux problèmes distincts liés àla douleur : la détection de la douleur (douleur vs absence de douleur) et la distinction entre la douleur authentique et la douleur simulée. L’architecture innovante pourl’identification binaire de la douleur faciale est basée sur des transformateurs d’imagesefficaces en termes de données (Deit). Deux bases de données, UNBC-McMaster shoulder pain et BioVid heat pain, ont été utilisées pour affiner et évaluer le modèle formé. Ladeuxième architecture proposée, repose sur des transformateurs de vision pour la détection de douleurs authentiques et simulées à partir des expressions faciales (ViT). Pour distinguer la douleur authentique de la douleur simulée, le modèle doit accorder uneattention particulière aux changements subtils des expressions faciales dans le temps.L’approche employée prend en compte l’aspect séquentiel et capture les variations des expressions faciales. Les expériences ont été menées sur la base de données BioVid HeatPain démontrent l’efficacité de notre stratégie
The ability to feel pain is crucial for life, since it serves as an early warning system forpotential harm to the body. The majority of pain evaluations rely on patient reports. Patients who are unable to express their own pain must instead rely on third-party reportsof their suffering. Due to potential observer bias, pain reports may contain inaccuracies. In addition, it would be impossible for people to keep watch around the clock. Inorder to better manage pain, especially in noncommunicative patients, automatic paindetection technologies might be implemented to aid human caregivers and complementtheir service. Facial expressions are used by all observer-based pain assessment systemsbecause they are a reliable indicator of pain and can be interpreted from a distance.Taking into consideration that pain generally generates spontaneous facial behavior,these facial expressions could be used to detect the presence of pain. In this thesis, weanalyze facial expressions of pain in order to address pain estimation. First, we presenta thorough analysis of the problem by comparing numerous common CNN (Convolutional Neural Network) architectures, such as MobileNet, GoogleNet, ResNeXt-50, ResNet18, and DenseNet-161. We employ these networks in two unique modes: standalone and feature extraction. In standalone mode, models (i.e., networks) are utilized to directly estimate pain. In feature extractor mode, "values" from the middle layer are extracted and fed into classifiers like Support Vector Regression (SVR) and Random Forest Regression (RFR).CNNs have achieved significant results in image classification and have achievedgreat success. The effectiveness of Transformers in computer vision has been demonstrated through recent studies. Transformer-based architectures were proposed in the second section of this thesis. Two distinct Transformer-based frameworks were presented to address two distinct pain issues: pain detection (pain vs no pain) and thedistinction between genuine and posed pain. The innovative architecture for binaryidentification of facial pain is based on data-efficient image transformers (Deit). Twodatasets, UNBC-McMaster shoulder pain and BioVid heat pain, were used to fine-tuneand assess the trained model. The suggested architecture is built on Vision Transformers for the detection of genuine and simulated pain from facial expressions (ViT). Todistinguish between Genuine and Posed Pain, the model must pay particular attentionto the subtle changes in facial expressions over time. The employed approach takes intoaccount the sequential aspect and captures the variations in facial expressions. Experiments on the publicly accessible BioVid Heat Pain Database demonstrate the efficacy of our strategy
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Книги з теми "Pain network"

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Alexis, Caught, ed. Natural networking: Building your professional network, without pain. North Charleston, SC: CreateSpace, 2014.

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Parker, Philip M., and James N. Parker. Chronic pain: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2003.

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Parker, Philip M., and James N. Parker. Chest pain: A medical dictionary, bibliography and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2003.

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Parker, Philip M., and James N. Parker. Foot pain: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2003.

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Parker, James N., and Philip M. Parker. Oxycontin: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, James N., and Philip M. Parker. Acetaminophen: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, Philip M., and James N. Parker. Motrin: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, Philip M., and James N. Parker. Tylenol: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, James N., and Philip M. Parker. Pain medications: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health, 2004.

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Parker, Philip M., and James N. Parker. Neck pain: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Частини книг з теми "Pain network"

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Salekin, Md Sirajus, Ghada Zamzmi, Dmitry Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, and Yu Sun. "Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation." In Lecture Notes in Computer Science, 749–59. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16437-8_72.

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Lanza, V., and L. Guglielmo. "Local Area Network Videoconferencing for Continuous Anesthesia Quality Improvement." In Anaesthesia, Pain, Intensive Care and Emergency Medicine — A.P.I.C.E., 843–64. Milano: Springer Milan, 2001. http://dx.doi.org/10.1007/978-88-470-2903-3_82.

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Miletic, Katarina, Oleksandra Mykhailova, and Jan Treur. "An Adaptive Mental Network Model for Reactions to Social Pain." In Complex Networks & Their Applications X, 619–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93409-5_51.

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Xu, Xuebin, Meng Lei, Dehua Liu, and Muyu Wang. "Pain Expression Recognition Based on Dual-Channel Convolutional Neural Network." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 35–42. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20738-9_5.

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Beser-Robles, María, Vicente Sanchis-Alfonso, and Luis Martí-Bonmatí. "Brain Network Functional Connectivity Clinical Relevance and Predictive Diagnostic Models in Anterior Knee Pain Patients." In Anterior Knee Pain and Patellar Instability, 731–43. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09767-6_57.

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Subramaniam, Saranya Devi, and Brindha Dass. "An Efficient Convolutional Neural Network for Acute Pain Recognition Using HRV Features." In Advances in Intelligent Systems and Computing, 119–32. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2123-9_9.

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Xu, Haochen, and Manhua Liu. "A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video." In Biometric Recognition, 112–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86608-2_13.

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Pikulkaew, Kornprom, Waraporn Boonchieng, and Ekkarat Boonchieng. "Real-Time Pain Detection Using Deep Convolutional Neural Network for Facial Expression and Motion." In Proceedings of Seventh International Congress on Information and Communication Technology, 341–49. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1610-6_29.

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Bhalla, Parinishtha, Anukriti Verma, Bhawna Rathi, Shivani Sharda, and Pallavi Somvanshi. "Exploring Molecular Signatures in Spondyloarthritis: A Step Towards Early Diagnosis." In Proceedings of the Conference BioSangam 2022: Emerging Trends in Biotechnology (BIOSANGAM 2022), 142–55. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-020-6_15.

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AbstractSpondyloarthritis is an acute inflammatory disorder of the musculoskeletal system often accompanied by pain, stiffness, bone and tissue damage. It majorly consists of ankylosing spondylitis, psoriatic arthritis and reactive arthritis. It follows a differential diagnosis pattern for demarcation between the spondyloarthritis subtypes and other arthritic subtypes such as rheumatoid arthritis, juvenile arthritis and osteoarthritis due to the heterogeneity causing gradual chronicity and complications. Presence of definite molecular markers can not only improve diagnosis efficiency but also aid in their prognosis and therapy. This study is an attempt to compose a refined list of such unique and common molecular signatures of the considered subtypes, by employing a reductionist approach amalgamating gene retrieval, protein-protein interaction network, functional, pathway, micro-RNA-gene and transcription factor-gene regulatory network analysis. Gene retrieval and protein-protein interaction network analysis resulted in unique and common interacting genes of arthritis subtypes. Functional annotation and pathway analysis found vital functions and pathways unique and common in arthritis subtypes. Furthermore, miRNA-gene and transcription factor-gene interaction networks retrieved unique and common miRNA’s and transcription factors in arthritis subtypes. Furthermore, the study identified important signatures of arthritis subtypes that can serve as markers assisting in prognosis, early diagnosis and personalized treatment of arthritis patients requiring validation via prospective experimental studies.
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Mamontov, Danila, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, and Friedhelm Schwenker. "Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain Intensity." In Lecture Notes in Computer Science, 84–100. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20984-1_8.

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Тези доповідей конференцій з теми "Pain network"

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Choudhury, Abhinav, Shruti Kaushik, and Varun Dutt. "Social-Network Analysis for Pain Medications." In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3110025.3110113.

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Monwar, Md, and Siamak Rezaei. "Pain Recognition Using Artificial Neural Network." In 2006 IEEE International Symposium on Signal Processing and Information Technology. IEEE, 2006. http://dx.doi.org/10.1109/isspit.2006.270764.

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Naufal Mansor, Muhammad, Syahrull Hi-Fi Syam, Muhammad Nazri Rejab, and Addzrull Hi-Fi Syam B. "Pain assessment using neural network classifier." In 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). IEEE, 2012. http://dx.doi.org/10.1109/msna.2012.6324599.

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Monwar, Md M., and S. Rezaei. "Appearance-based Pain Recognition from Video Sequences." In The 2006 IEEE International Joint Conference on Neural Network Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/ijcnn.2006.247069.

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Semwal, Ashish, and Narendra D. Londhe. "Automated Pain Severity Detection Using Convolutional Neural Network." In 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS). IEEE, 2018. http://dx.doi.org/10.1109/ctems.2018.8769123.

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von Leupoldt, A., T. Sommer, D. Schoen, HJ Baumann, H. Klose, M. Rosenkranz, B. Dahme, and C. Buechel. "Dyspnea and Pain Share Affect-Related Brain Network." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a3692.

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Carlini, Lucas, Leonardo Ferreira, Gabriel Coutrin, Victor Varoto, Tatiany Marcondes, Rita Balda, Marina Barros, Ruth Guinsburg, and Carlos Thomaz. "Mobile Convolutional Neural Network for Neonatal Pain Assessment." In LatinX in AI at Computer Vision and Pattern Recognition Conference 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai202106258.

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More than 500 painful interventions are carried out during the hospitalization of a newborn baby in an Intensive Care Unit. Since a direct and objective verbal communication by neonates is unlikely, this work proposes and implements a computational framework to automatically classify the neonatal pain based on its facial expression. Our findings showed promising results to correctly identify the facial expression of pain in neonates with high accuracy and generalization capability, highlighting as well sound facial regions that agree with pain scales used by neonatologists and with the visual perception of adults when assessing pain in neonates, whether they are health professionals or not.
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Sousa, Miguel Angelo de Abreu de, and Thiago Felipe de Jesus Torres. "Modeling of Pain on a FPGA-based Neural Network." In Artificial Intelligence and Applications. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.793-034.

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Guo, Wenqiang, Ziwei Xu, Zhigao Guo, Lingling Mao, Yongyan Hou, and Zixuan Huang. "Pain Assessment Using Facial Action Units and Bayesian Network." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550304.

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Mansor, Muhammad Naufal, Shahryull Hi-Fi Syam Mohd Jamil, Mohd Nazri Rejab, and Addzrull Hi-Fi Syam Mohd Jamil. "K-nn algorithm for fast infant pain detection." In 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). IEEE, 2012. http://dx.doi.org/10.1109/msna.2012.6324593.

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Звіти організацій з теми "Pain network"

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Wu, Boyu, Lei Yang, Chengwei Fu, Gonghui Jian, Yue Zhuo, and Hui Xiong. Acupuncture for Acute Low Back Pain: A Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2020. http://dx.doi.org/10.37766/inplasy2020.12.0025.

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Lai, Chih Chin, and Yu Kang Tu. Effectiveness of Exercise Training for Pain Reduction in Adults With and Without Pain: A Systematic Review and Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2023. http://dx.doi.org/10.37766/inplasy2023.11.0019.

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Guo, Ji xing, Chang chun Ji, Chao ju Xie, Xiang Rao, Zhang yin Sun, Yu Xing, Rong ni Zhang, Qiang qiang Qu, You peng Dong, and Jin sheng Yang. Network Meta-analysis of Various Acupuncture Therapies for Managing Nonspecific Low Back Pain. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2024. http://dx.doi.org/10.37766/inplasy2024.9.0033.

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Jo, Hyo-Rim, Eun-Ji Noh, Se-Hee Oh, Seong-Kyeong Choi, Won-Suk Sung, Su-ji Choi, Dong-il Kim, Seung-Ug Hong, and Eun-Jung Kim. Effectiveness of different acupuncture therapies for neck pain: A systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2021. http://dx.doi.org/10.37766/inplasy2021.2.0041.

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Canellas, Joao Vitor, Fabio Ritto, and Paul Tiwana. Comparative efficacy and safety of pharmacological interventions to reduce inflammatory complications after mandibular third molar surgery: a systematic review and network meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2021. http://dx.doi.org/10.37766/inplasy2021.7.0069.

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Review question / Objective: This systematic review aims to compare the effects of different drugs to reduce postoperative inflammatory complications (pain, edema, and trismus) after mandibular third molar surgery by applying a frequentist network meta-analysis approach. To this end, the proposed study will answer the following questions: 1) Among diverse drugs currently available, which postoperative pharmacological regimen is the most efficient to reduce pain after mandibular third molar surgery? 2) Is the pre-emptive analgesia effective in reducing pain immediately after the mandibular third molar surgery? In this case, 3) Which preoperative pharmacological regimen is the most efficient? 4) Among diverse corticosteroids currently available, what is the best option to control the edema induced by the surgery? 5) What is the optimal dose and route of administration of corticosteroids prior to mandibular third molar surgery to control the pain/ edema induced by the surgery? Condition being studied: Inflammatory complications after mandibular third molar surgery (Pain, edema, and trismus).
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Alvitos, Rodrigo, Bruno Teixeira Gonçalves Rodrigues, François Isnaldo Dias Caldeira, João Vitor Canellas, Paulo Jose Medeiros, Emmanuel Silva, and Gustavo De Deus. Comparative efficacy of different topical anesthetics to reduce the perception of pain during intraoral anesthesia: A systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0034.

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Анотація:
Review question / Objective: This systematic review aims to investigate which is the best topical anesthesia marketed and used by dentists in an attempt to reduce pain (oral punctures and injections) in the maxillary and mandibular region, by applying a frequentist network meta-analysis approach. To achieve the proposed objective, the following question was used: " What topical anesthesia is more effective in reducing perceived pain (punctures and needle injections) when performing dental anesthetic techniques? Condition being studied: Evaluate what is the best topical anesthetic used in infant, young adult and adult patients to reduce pain during puncture and anesthetic injection.
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Kwak, Sang Gyu, Yoo Jin Choo, Soyoung Kwak, and Min Cheol Chang. Efficacy of Transforaminal, Interlaminar, and Caudal Epidural Injections in Lumbosacral Disc Herniation: A Systematic Review and Network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0091.

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Анотація:
Review question / Objective: Epidural injection (EI) has been used to manage lower back or radicular leg pain from herniation of lumbar disc (HLD). Three types of EI techniques, including transforaminal (TFEI) interlaminar (ILEI), and caudal epidural injections (CEI), are being applied. We aimed to evaluate the comparative effect of TFESI, ILEI, and CEI for reducing pain or improving function in patients with HLD. Condition being studied: For controlling inflammation by the HLD, various oral medications and procedures are used. Among these therapeutic methods, EI of the drugs is frequently used in clinical practice. Its positive HLD-induced pain reducing effect was reported in several previous studies. Three types of techniques, including TFEI, ILEI, and CEI, have been utilized in clinical practice. conflicting outcomes as to which technique is superior were reported in previous studies. So far, some meta-analysis studies for comparing the effects of different EI techniques on HLD were conducted. However, these previous studies conducted comparison between two procedures among TFEI, ILEI, and CEI. In the current study, using network meta-analysis, we synthesize and compare the effects of TFEI, ILEI, and CEI on pain from HLD, together.
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Canellas, Joao Vitor, Fabio Ritto, and Paul Tiwana. Comparative efficacy and safety of different corticosteroids to reduce inflammatory complications after mandibular third molar surgery: a systematic review and network meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0023.

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Анотація:
Review question / Objective: This systematic review aims to compare the effects of different corticosteroids to reduce postoperative inflammatory complications (pain, edema, and trismus) after mandibular third molar surgery by applying a frequentist network meta-analysis approach. To this end, the proposed study will answer the following questions: 1) Among diverse corticosteroids currently available, what is the best preoperative option to control postoperative inflammatory complications? 2) What is the optimal dose and route of administration of corticosteroids prior to mandibular third molar surgery to control the pain, edema, and trismus induced by the surgery? Condition being studied: Inflammatory complications after mandibular third molar surgery (Pain, edema, and trismus).
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Tsai, I.-Chen, and Ke-Vin Chang. Comparative Effectiveness of Different Exercises for Reducing Pain Intensity in Primary Dysmenorrhea: A Network Meta-Analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2023. http://dx.doi.org/10.37766/inplasy2023.3.0050.

Повний текст джерела
Анотація:
Review question / Objective: To evaluate the effectiveness of different exercise interventions in reducing pain associated with primary dysmenorrhea in women. Condition being studied: The network meta-analysis adopted the PICO framework (population, intervention, comparison, outcome) with the following specifications: (1) P: female human participants with primary dysmenorrhea; (2) I: exercise interventions; (3) C: control group without intervention or with alternative exercise interventions; and (4) O: alterations in pain intensity. The diagnosis of primary dysmenorrhea can be made using the definition recommended by the American College of Obstetricians and Gynecologists.
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Lin, Wenqian. Which analgesia is better for preventing chronic post-thoracotomy pain syndrome(CPTPS): a Bayesia network meta-analysis. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0065.

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