{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T15:13:23Z","timestamp":1747149203571,"version":"3.40.5"},"reference-count":48,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,10,16]],"date-time":"2019-10-16T00:00:00Z","timestamp":1571184000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Imaging Syst Tech"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Localizing brain neural activity using electroencephalography (EEG) neuroimaging technique is getting increasing response from neuroscience researchers and medical community. It is due to the fact that brain source localization has a variety of applications for diagnoses of various brain disorders. This problem is ill\u2010posed in nature because an infinite number of source configurations can produce the same potential at the head surface. Recently, a new technique that is based on Bayesian framework, called the multiple sparse priors (MSP), was proposed as a solution to this problem. The MSP develops the solution for source localization using the current densities associated with dipoles in terms of prior source covariance matrix and sensor covariance matrix, respectively. Then, it uses the maximization of the cost function of the free energy under the assumption of a fixed number of hyperparameters or patches in order to obtain the elements of prior source covariance matrix. This research work aims to further enhance the maximization process of MSP with regard to the free energy by considering a variable number of patches. This will lead to a better estimation of brain sources in terms of localization errors. The performance of the modified MSP with a variable number of patches is compared with the original MSP using simulated and real\u2010time EEG data. The results show a significant improvement in terms of localization errors.<\/jats:p>","DOI":"10.1002\/ima.22370","type":"journal-article","created":{"date-parts":[[2019,10,16]],"date-time":"2019-10-16T22:31:16Z","timestamp":1571265076000},"page":"154-167","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multiple sparse priors technique with optimized patches for brain source localization"],"prefix":"10.1002","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9265-3898","authenticated-orcid":false,"given":"Munsif Ali","family":"Jatoi","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering Technology The Benazir Bhutto Shaheed University of Technology and Skill Development  Khairpur Sindh Pakistan"}]},{"given":"Nidal","family":"Kamel","sequence":"additional","affiliation":[{"name":"Center for Intelligent Signals and Imaging Research Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS  Perak Malaysia"}]},{"given":"Jos\u00e9 D.","family":"L\u00f3pez","sequence":"additional","affiliation":[{"name":"SISTEMIC Faculty of Engineering University of Antioquia, UDEA  Medellin Colombia"}]}],"member":"311","published-online":{"date-parts":[[2019,10,16]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.831921"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1981.1163560"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1982.1163855"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/79.962275"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.01.009"},{"key":"e_1_2_8_7_1","first-page":"1629","article-title":"Whole\u2010brain functional MR imaging activation from a finger\u2010tapping task examined with independent component analysis","volume":"21","author":"Moritz CH","year":"2000","journal-title":"Am J Neuroradiol"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.1999.0507"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0404.1994.tb05179.x"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.2006022"},{"volume-title":"Brain Mapping: The Methods","year":"2002","author":"Toga AW","key":"e_1_2_8_11_1"},{"volume-title":"EEG Signal Processing","year":"2013","author":"Sanei S","key":"e_1_2_8_12_1"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.841263"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.65.413"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-4927(99)00013-X"},{"key":"e_1_2_8_16_1","first-page":"5","article-title":"Standardized low\u2010resolution brain electromagnetic tomography (sLORETA): technical details","volume":"24","author":"Pascual\u2010Marqui R","year":"2002","journal-title":"Methods Find Exp Clin Pharmacol"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CNE.2003.1196884"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2005.855720"},{"key":"e_1_2_8_19_1","doi-asserted-by":"crossref","unstructured":"RafikKhemakkhem WassimZouch AbdelmalikTaleb\u2010Ahmed Ahmed BenHamidaA New Combining approach to localizing the EEG activity in the brain: WMN and LORETA Solution International Conference on BioMedical Engineering and Informatics 2008.","DOI":"10.1109\/BMEI.2008.255"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-014-0308-3"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/10.725331"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.740118"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.07.014"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.09.048"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.08.035"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.10.030"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.09.002"},{"key":"e_1_2_8_28_1","doi-asserted-by":"crossref","unstructured":"AddeG ClercM FaugerasO KerivenR KybicJ PapadopouloT. 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