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For: Ortiz-Catalan M. The Stochastic Entanglement and Phantom Motor Execution Hypotheses: A Theoretical Framework for the Origin and Treatment of Phantom Limb Pain. Front Neurol 2018;9:748. [PMID: 30237784 DOI: 10.3389/fneur.2018.00748] [Cited by in Crossref: 19] [Cited by in F6Publishing: 22] [Article Influence: 3.8] [Reference Citation Analysis]
Number Citing Articles
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7 Pu S, Wu Y, Tong F, Du WJ, Liu S, Yang H, Zhang C, Zhou B, Chen Z, Zhou X, Han Q, Du D. Mechanosensitive Ion Channel TMEM63A Gangs Up with Local Macrophages to Modulate Chronic Post-amputation Pain. Neurosci Bull 2022. [PMID: 35821338 DOI: 10.1007/s12264-022-00910-0] [Reference Citation Analysis]
8 Damercheli S, Ramne M, Ortiz-catalan M. transcranial Direct Current Stimulation (tDCS) for the treatment and investigation of Phantom Limb Pain (PLP). Psychoradiology 2022;2:23-31. [DOI: 10.1093/psyrad/kkac004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Lendaro E, Earley EJ, Ortiz-catalan M. Statistical analysis plan for an international, double-blind, randomized controlled clinical trial on the use of phantom motor execution as a treatment for phantom limb pain. Trials 2022;23. [DOI: 10.1186/s13063-021-05962-7] [Reference Citation Analysis]
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11 Lendaro E, Balouji E, Baca K, Muhammad AS, Ortiz-catalan M. Common Spatial Pattern EEG decomposition for Phantom Limb Pain detection. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021. [DOI: 10.1109/embc46164.2021.9630561] [Reference Citation Analysis]
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15 Gautron L. The Phantom Satiation Hypothesis of Bariatric Surgery. Front Neurosci 2021;15:626085. [PMID: 33597843 DOI: 10.3389/fnins.2021.626085] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
16 DI Pino G, Piombino V, Carassiti M, Ortiz-Catalan M. Neurophysiological models of phantom limb pain: what can be learnt. Minerva Anestesiol 2021;87:481-7. [PMID: 33432796 DOI: 10.23736/S0375-9393.20.15067-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
17 Middleton A. The datafication of pain: trials and tribulations in measuring phantom limb pain. BioSocieties. [DOI: 10.1057/s41292-020-00203-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
18 Yanagisawa T, Fukuma R, Seymour B, Tanaka M, Hosomi K, Yamashita O, Kishima H, Kamitani Y, Saitoh Y. BCI training to move a virtual hand reduces phantom limb pain: A randomized crossover trial. Neurology 2020;95:e417-26. [PMID: 32675074 DOI: 10.1212/WNL.0000000000009858] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]
19 Sensinger JW, Dosen S. A Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control. Front Neurosci 2020;14:345. [PMID: 32655344 DOI: 10.3389/fnins.2020.00345] [Cited by in Crossref: 46] [Cited by in F6Publishing: 50] [Article Influence: 15.3] [Reference Citation Analysis]
20 Singh S, Melnik R. Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models. Bioengineering (Basel) 2020;7:E35. [PMID: 32272567 DOI: 10.3390/bioengineering7020035] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
21 Harper HE, Hirt PA, Lev-Tov H. The use of virtual reality in non-burn dermatological care - a review of the literature. J Dermatolog Treat 2020;:1-6. [PMID: 32174192 DOI: 10.1080/09546634.2020.1743812] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
22 Singh S, Melnik R. Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions. Electromagn Biol Med 2020;39:49-88. [PMID: 32233691 DOI: 10.1080/15368378.2020.1741383] [Cited by in Crossref: 36] [Cited by in F6Publishing: 28] [Article Influence: 12.0] [Reference Citation Analysis]
23 Lendaro E, Middleton A, Brown S, Ortiz-Catalan M. Out of the Clinic, into the Home: The in-Home Use of Phantom Motor Execution Aided by Machine Learning and Augmented Reality for the Treatment of Phantom Limb Pain. J Pain Res 2020;13:195-209. [PMID: 32021409 DOI: 10.2147/JPR.S220160] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
24 Akbulut A, Asci G, Gungor F, Tarakci E, Aydin MA, Zaim AH. Deep Learning Approaches for Phantom Movement Recognition. 2019 Medical Technologies Congress (TIPTEKNO) 2019. [DOI: 10.1109/tiptekno.2019.8895247] [Reference Citation Analysis]
25 Urits I, Seifert D, Seats A, Giacomazzi S, Kipp M, Orhurhu V, Kaye AD, Viswanath O. Treatment Strategies and Effective Management of Phantom Limb-Associated Pain. Curr Pain Headache Rep 2019;23:64. [PMID: 31359171 DOI: 10.1007/s11916-019-0802-0] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]