@article{scholars12428,
            year = {2020},
         journal = {Biomedizinische Technik},
       publisher = {De Gruyter Open Ltd},
           pages = {673--682},
          number = {6},
            note = {cited By 1},
          volume = {65},
             doi = {10.1515/bmt-2019-0128},
           title = {EEG Source Imaging (ESI) utility in clinical practice},
          author = {Khosropanah, P. and Ho, E. T.-W. and Lim, K.-S. and Fong, S.-L. and Thuy Le, M.-A. and Narayanan, V.},
            issn = {00135585},
        abstract = {Epilepsy surgery is an important treatment modality for medically refractory focal epilepsy. The outcome of surgery usually depends on the localization accuracy of the epileptogenic zone (EZ) during pre-surgical evaluation. Good localization can be achieved with various electrophysiological and neuroimaging approaches. However, each approach has its own merits and limitations. Electroencephalography (EEG) Source Imaging (ESI) is an emerging model-based computational technique to localize cortical sources of electrical activity within the brain volume, three-dimensionally. ESI based pre-surgical evaluation gives an overall clinical yield of 73-91, depending on choice of head model, inverse solution and EEG electrode density. It is a cost effective, non-invasive method which provides valuable additional information in presurgical evaluation due to its high localizing value specifically in MRI-negative cases, extra or basal temporal lobe epilepsy, multifocal lesions such as tuberous sclerosis or cases with multiple hypotheses. Unfortunately, less than 1 of surgical centers in developing countries use this method as a part of pre-surgical evaluation. This review promotes ESI as a useful clinical tool especially for patients with lesion-negative MRI to determine EZ cost-effectively with high accuracy under the optimized conditions. {\^A}{\copyright} 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090466283&doi=10.1515\%2fbmt-2019-0128&partnerID=40&md5=6f23744a6bbaa51a9ce6759dd82531b8},
        keywords = {Brain; Cost effectiveness; Developing countries; Electrophysiology; Inverse problems; Neuroimaging; Neurology; Noninvasive medical procedures; Transplantation (surgical), Computational technique; Electrical activities; Localization accuracy; Multiple hypothesis; Noninvasive methods; Optimized conditions; Surgical evaluations; Temporal lobe epilepsy, Electroencephalography, adult; algorithm; brain size; clinical evaluation; clinical practice; cost effectiveness analysis; electroencephalogram; electroencephalography; electroencephalography source imaging; epilepsy; finite element analysis; human; image analysis; neuroimaging; nuclear magnetic resonance imaging; priority journal; Review; sensitivity analysis; temporal lobe epilepsy}
}