{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T18:42:59Z","timestamp":1757616179388,"version":"3.44.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"15-16","license":[{"start":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T00:00:00Z","timestamp":1692057600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T00:00:00Z","timestamp":1692057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s00500-023-09075-y","type":"journal-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T05:02:06Z","timestamp":1692075726000},"page":"8849-8860","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Introducing a fuzzy task-related connectivity index for BCI systems applications"],"prefix":"10.1007","volume":"28","author":[{"given":"Zahra","family":"Tabanfar","sequence":"first","affiliation":[]},{"given":"Farnaz","family":"Ghassemi","sequence":"additional","affiliation":[]},{"given":"Mohammad Hassan","family":"Moradi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,15]]},"reference":[{"key":"9075_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-023-08224-7","author":"M Alruwaili","year":"2023","unstructured":"Alruwaili M, Alruwaili R, Kumar UA, Albarrak AM, Ali NH, Basri R (2023) Human emotion recognition based on brain signal analysis using fuzzy neural network. Soft Comput. https:\/\/doi.org\/10.1007\/s00500-023-08224-7","journal-title":"Soft Comput"},{"issue":"13","key":"9075_CR2","doi-asserted-by":"publisher","first-page":"8573","DOI":"10.1007\/s00500-021-05719-z","volume":"25","author":"B-M Andrea","year":"2021","unstructured":"Andrea B-M, Felipe O-E, Alberto R-GC (2021) Ordering of functions according to multiple fuzzy criteria: application to denoising electroencephalography. Soft Comput 25(13):8573\u20138593","journal-title":"Soft Comput"},{"key":"9075_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103329","volume":"111","author":"H Bakhshayesh","year":"2019","unstructured":"Bakhshayesh H, Fitzgibbon SP, Janani AS, Grummett TS, Pope KJ (2019) Detecting connectivity in EEG: a comparative study of data-driven effective connectivity measures. Comput Biol Med 111:103329","journal-title":"Comput Biol Med"},{"key":"9075_CR4","doi-asserted-by":"publisher","first-page":"130714","DOI":"10.1155\/2011\/130714","volume":"2011","author":"A Delorme","year":"2011","unstructured":"Delorme A, Mullen T, Kothe C, Akalin Acar Z, Bigdely-Shamlo N, Vankov A, Makeig S (2011) EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing. Comput Intell Neurosci 2011:130714","journal-title":"Comput Intell Neurosci"},{"key":"9075_CR5","doi-asserted-by":"publisher","first-page":"341","DOI":"10.3389\/fnhum.2021.689488","volume":"15","author":"H Dini","year":"2021","unstructured":"Dini H, Sendi MS, Sui J, Fu Z, Espinoza R, Narr KL, Qi S, Abbott CC, van Rooij SJ, Riva-Posse P (2021) Dynamic functional connectivity predicts treatment response to electroconvulsive therapy in major depressive disorder. Front Hum Neurosci 15:341","journal-title":"Front Hum Neurosci"},{"key":"9075_CR6","doi-asserted-by":"publisher","first-page":"101513","DOI":"10.1109\/ACCESS.2021.3097797","volume":"9","author":"NE Elsayed","year":"2021","unstructured":"Elsayed NE, Tolba AS, Rashad MZ, Belal T, Sarhan S (2021) A deep learning approach for brain computer interaction-motor execution EEG signal classification. IEEE Access 9:101513\u2013101529","journal-title":"IEEE Access"},{"issue":"2","key":"9075_CR7","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/S0165-0114(97)00275-3","volume":"106","author":"J Fan","year":"1999","unstructured":"Fan J, Xie W, Pei J (1999) Subsethood measure: new definitions. Fuzzy Sets Syst 106(2):201\u2013209","journal-title":"Fuzzy Sets Syst"},{"key":"9075_CR8","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1016\/j.neuroimage.2018.07.024","volume":"181","author":"M Farokhzadi","year":"2018","unstructured":"Farokhzadi M, Hossein-Zadeh G-A, Soltanian-Zadeh H (2018) Nonlinear effective connectivity measure based on adaptive neuro fuzzy inference system and granger causality. Neuroimage 181:382\u2013394","journal-title":"Neuroimage"},{"issue":"7","key":"9075_CR9","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1016\/j.clinph.2020.03.031","volume":"131","author":"M Hallett","year":"2020","unstructured":"Hallett M, de Haan W, Deco G, Dengler R, Di Iorio R, Gallea C, Gerloff C, Grefkes C, Helmich RC, Kringelbach ML (2020) Human brain connectivity: Clinical applications for clinical neurophysiology. Clin Neurophysiol 131(7):1621\u20131651","journal-title":"Clin Neurophysiol"},{"issue":"2","key":"9075_CR10","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1016\/S1053-8119(03)00112-5","volume":"19","author":"B Horwitz","year":"2003","unstructured":"Horwitz B (2003) The elusive concept of brain connectivity. Neuroimage 19(2):466\u2013470","journal-title":"Neuroimage"},{"key":"9075_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2022.3218574","volume":"71","author":"W Ji","year":"2022","unstructured":"Ji W, Qiu J (2022) Observer-based output feedback control of nonlinear 2-D systems via fuzzy-affine models. IEEE Trans Instrum Meas 71:1\u201310","journal-title":"IEEE Trans Instrum Meas"},{"key":"9075_CR12","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1109\/TFUZZ.2022.3201282","volume":"31","author":"W Ji","year":"2022","unstructured":"Ji W, Qiu J, Su S-F, Zhang H (2022) Fuzzy Observer-Based Output Feedback Control of Continuous-Time Nonlinear Two-Dimensional Systems. IEEE Trans Fuzzy Syst 31:1391\u20131400","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"9075_CR13","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TCDS.2019.2958423","volume":"14","author":"M Kiani","year":"2019","unstructured":"Kiani M, Andreu-Perez J, Hagras H, Papageorgiou EI, Prasad M, Lin C-T (2019) Effective brain connectivity for fNIRS with fuzzy cognitive maps in neuroergonomics. IEEE Trans Cogn Dev Syst 14(1):50\u201363","journal-title":"IEEE Trans Cogn Dev Syst"},{"key":"9075_CR14","volume-title":"Neural networks and fuzzy systems","author":"B Kosko","year":"1998","unstructured":"Kosko B, Burgess JC (1998) Neural networks and fuzzy systems. Acoustical Society of America, Melville"},{"issue":"1","key":"9075_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41597-021-01094-4","volume":"8","author":"Y-E Lee","year":"2021","unstructured":"Lee Y-E, Shin G-H, Lee M, Lee S-W (2021) Mobile BCI dataset of scalp-and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running. Sci Data 8(1):1\u201312","journal-title":"Sci Data"},{"issue":"2","key":"9075_CR16","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.compmedimag.2008.10.011","volume":"33","author":"K Li","year":"2009","unstructured":"Li K, Guo L, Nie J, Li G, Liu T (2009) Review of methods for functional brain connectivity detection using fMRI. Comput Med Imaging Graph 33(2):131\u2013139","journal-title":"Comput Med Imaging Graph"},{"issue":"6","key":"9075_CR17","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1007\/s11571-020-09625-2","volume":"14","author":"V Mehdizadehfar","year":"2020","unstructured":"Mehdizadehfar V, Ghassemi F, Fallah A, Mohammad-Rezazadeh I, Pouretemad H (2020) Brain connectivity analysis in fathers of children with autism. Cogn Neurodyn 14(6):781\u2013793","journal-title":"Cogn Neurodyn"},{"issue":"6","key":"9075_CR18","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1167\/15.6.4","volume":"15","author":"AM Norcia","year":"2015","unstructured":"Norcia AM, Appelbaum LG, Ales JM, Cottereau BR, Rossion B (2015) The steady-state visual evoked potential in vision research: a review. J vis 15(6):4\u20134","journal-title":"J vis"},{"issue":"12","key":"9075_CR19","doi-asserted-by":"publisher","first-page":"2671","DOI":"10.1109\/TNSRE.2020.3038657","volume":"28","author":"C-R Phang","year":"2020","unstructured":"Phang C-R, Ko L-W (2020) Intralobular and interlobular parietal functional network correlated to MI-BCI performance. IEEE Trans Neural Syst Rehabil Eng 28(12):2671\u20132680","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"2","key":"9075_CR20","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1002\/aur.1858","volume":"11","author":"AS Pillai","year":"2018","unstructured":"Pillai AS, McAuliffe D, Lakshmanan BM, Mostofsky SH, Crone NE, Ewen JB (2018) Altered task-related modulation of long-range connectivity in children with autism. Autism Res 11(2):245\u2013257","journal-title":"Autism Res"},{"key":"9075_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101732","volume":"57","author":"M Rahimi","year":"2020","unstructured":"Rahimi M, Davoodi R, Moradi MH (2020) Deep fuzzy model for non-linear effective connectivity estimation in the intuition of consciousness correlates. Biomed Signal Process Control 57:101732","journal-title":"Biomed Signal Process Control"},{"key":"9075_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103449","volume":"73","author":"E Rostami","year":"2022","unstructured":"Rostami E, Ghassemi F, Tabanfar Z (2022) Canonical correlation analysis of task related components as a noise-resistant method in Brain-computer interface speller systems based on steady-state visual evoked potential. Biomed Signal Process Control 73:103449","journal-title":"Biomed Signal Process Control"},{"issue":"7","key":"9075_CR23","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1007\/s00500-017-2496-8","volume":"22","author":"A Roy","year":"2018","unstructured":"Roy A (2018) Examining dynamic functional relationships in a pathological brain using evolutionary computation. Soft Comput 22(7):2341\u20132368","journal-title":"Soft Comput"},{"issue":"6","key":"9075_CR24","first-page":"066019","volume":"16","author":"SJ Ruiz-G\u00f3mez","year":"2019","unstructured":"Ruiz-G\u00f3mez SJ, Hornero R, Poza J, Maturana-Candelas A, Pinto N, G\u00f3mez C (2019) Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Appl Alzheimer\u2019s Disease Continuum J Neural Eng 16(6):066019","journal-title":"Appl Alzheimer\u2019s Disease Continuum J Neural Eng"},{"key":"9075_CR25","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.cobeha.2021.05.003","volume":"40","author":"JJ Salvo","year":"2021","unstructured":"Salvo JJ, Holubecki AM, Braga RM (2021) Correspondence between functional connectivity and task-related activity patterns within the individual. Curr Opin Behav Sci 40:178\u2013188","journal-title":"Curr Opin Behav Sci"},{"issue":"2","key":"9075_CR26","first-page":"127","volume":"9","author":"SS Shakib","year":"2022","unstructured":"Shakib SS, Ghassemi F (2022) Investigating the effect of stimulus type on electroencephalogram signal in a brain-computer interface system with interaction error. Front Biomed Technol 9(2):127\u2013133","journal-title":"Front Biomed Technol"},{"issue":"1\u20132","key":"9075_CR27","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.jns.2009.08.028","volume":"289","author":"C Stam","year":"2010","unstructured":"Stam C (2010) Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders. J Neurol Sci 289(1\u20132):128\u2013134","journal-title":"J Neurol Sci"},{"key":"9075_CR28","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1089\/brain.2021.0170","volume":"12","author":"Z Tabanfar","year":"2022","unstructured":"Tabanfar Z, Firoozabadi M, Shankayi Z, Sharifi G (2022a) Screening of Brain Tumors Using Functional Connectivity Patterns of Steady-State Visually Evoked Potentials. Brain Connect 12:883\u2013891","journal-title":"Brain Connect"},{"key":"9075_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103162","volume":"71","author":"Z Tabanfar","year":"2022","unstructured":"Tabanfar Z, Ghassemi F, Moradi MH (2022b) Estimating brain periodic sources activities in steady-state visual evoked potential using local Fourier independent component analysis. Biomed Signal Process Control 71:103162","journal-title":"Biomed Signal Process Control"},{"key":"9075_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104171","volume":"79","author":"Z Tabanfar","year":"2023","unstructured":"Tabanfar Z, Ghassemi F, Moradi MH (2023) A subject-independent SSVEP-based BCI target detection system based on fuzzy ordering of EEG task-related components. Biomed Signal Process Control 79:104171","journal-title":"Biomed Signal Process Control"},{"issue":"9","key":"9075_CR31","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1007\/s11517-019-02006-w","volume":"57","author":"N Talebi","year":"2019","unstructured":"Talebi N, Nasrabadi AM, Mohammad-Rezazadeh I (2019) Bypassing the volume conduction effect by multilayer neural network for effective connectivity estimation. Med Biol Eng Comput 57(9):1947\u20131959","journal-title":"Med Biol Eng Comput"},{"issue":"4","key":"9075_CR32","doi-asserted-by":"publisher","first-page":"1554","DOI":"10.1002\/hbm.22723","volume":"36","author":"JP Trujillo","year":"2015","unstructured":"Trujillo JP, Gerrits NJ, Veltman DJ, Berendse HW, van der Werf YD, van den Heuvel OA (2015) Reduced neural connectivity but increased task-related activity during working memory in de novo P arkinson patients. Hum Brain Mapp 36(4):1554\u20131566","journal-title":"Hum Brain Mapp"},{"issue":"2","key":"9075_CR33","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1109\/LCSYS.2018.2878256","volume":"3","author":"Y Wei","year":"2018","unstructured":"Wei Y, Jing X, Zheng WX, Qiu J, Karimi HR (2018) A new design of asynchronous observer-based output-feedback control for piecewise-affine systems. IEEE Control Syst Lett 3(2):338\u2013343","journal-title":"IEEE Control Syst Lett"},{"key":"9075_CR34","unstructured":"Weisstein EW (2004) Bonferroni correction. https:\/\/mathworld.wolfram.com\/"},{"issue":"3","key":"9075_CR35","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1002\/wics.82","volume":"2","author":"HJ Zimmermann","year":"2010","unstructured":"Zimmermann HJ (2010) Fuzzy set theory. Wiley Interdiscip Rev: Comput Stat 2(3):317\u2013332","journal-title":"Wiley Interdiscip Rev: Comput Stat"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-09075-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-023-09075-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-09075-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T17:41:56Z","timestamp":1757094116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-023-09075-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,15]]},"references-count":35,"journal-issue":{"issue":"15-16","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["9075"],"URL":"https:\/\/doi.org\/10.1007\/s00500-023-09075-y","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2023,8,15]]},"assertion":[{"value":"29 July 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 August 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}