BESA Methods

Methods used in BESA

Key papers for cortical LORETA (BESA Research)

6200472 TG6EIDUG 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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Iordanov, T., Bornfleth, H., Wolters, C. H., & ... (2018). LORETA with cortical constraint: Choosing an adequate surface Laplacian operator. Frontiers in …. https://www.frontiersin.org/articles/10.3389/fnins.2018.00746/abstract
Richards, J. E., Sanchez, C., Phillips-Meek, M., & Xie, W. (2016). A database of age-appropriate average MRI templates. NeuroImage, 124(Pt B), 1254–1259. https://doi.org/10.1016/j.neuroimage.2015.04.055
Skrandies, W. (1995). Source localization: Continuing Discussion of the Inverse Problem. ISBET Newsl., 6.
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994). Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int. J. Psychophysiol. Off. J. Int. Organ. Psychophysiol, 18, 49–65. https://doi.org/10.1016/0167-8760(84)90014-X


Key papers for age-appropriate template head models (BESA Research)

6200472 PQ226264 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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.%22%2C%22lastName%22%3A%22Richards%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22W.%22%2C%22lastName%22%3A%22Xie%22%7D%2C%7B%22creatorType%22%3A%22editor%22%2C%22firstName%22%3A%22J.%22%2C%22lastName%22%3A%22Bensen%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22bookTitle%22%3A%22Advances%20in%20Child%20Development%20and%20Behavior%22%2C%22date%22%3A%222015%22%2C%22language%22%3A%22%22%2C%22ISBN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fbs.acdb.2014.11.001%22%2C%22collections%22%3A%5B%22PQ226264%22%5D%2C%22dateModified%22%3A%222019-12-17T15%3A19%3A33Z%22%7D%7D%5D%7D
Richards, J. E., Sanchez, C., Phillips-Meek, M., & Xie, W. (2016). A database of age-appropriate average MRI templates. NeuroImage, 124(Pt B), 1254–1259. https://doi.org/10.1016/j.neuroimage.2015.04.055
Richards, J. E., & Xie, W. (2015). Brains for all the ages: Structural neurodevelopment in infants and children from a life-span perspective. In J. Bensen (Ed.), Advances in Child Development and Behavior (pp. 1–52). Vol 48. https://doi.org/10.1016/bs.acdb.2014.11.001


Key papers for statistical analysis (BESA Statistics)

6200472 SHDMEYZT 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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Maris, E. (2012). Statistical testing in electrophysiological studies. Psychophysiology, 49(4), 549–565. https://doi.org/10.1111/j.1469-8986.2011.01320.x
Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG- and MEG-data. J Neurosci Methods, 164(1), 177–190. https://doi.org/10.1016/j.jneumeth.2007.03.024


Key papers for multiple source analysis

6200472 YTKZVX8B 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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Key papers on digital EEG review

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Scherg, M. (2022). Relative Source Power: A novel method for localizing epileptiform EEG discharges. Clinical Neurophysiology.
Scherg, M., Bast, T., Hoechstetter, K., Ille, N., Weckesser, D., Bornfleth, H., & Berg, P. (2004). Brain source montages improve the non-invasive diagnosis in epilepsy. International Congress Series, 1270C, 15–19. https://doi.org/10.1016/j.ics.2004.04.035
Scherg, M., Ille, N., Bornfleth, H., & Berg, P. (2002). Advanced tools for digital EEG review: virtual source montages, whole-head mapping, correlation, phase analysis. Journal of Clinical Neurophysiology, 19, 91–112. https://doi.org/10.1097/00004691-200203000-00001
Assaf, B. A., & JS, E. (1999). Visual and quantitative ictal EEG predictors of outcome after temporal lobectomy. Epilepsia, 40, 52–61. https://doi.org/10.1111/j.1528-1157.1999.tb01988.x
Assaf, B. A., & JS, E. (1997). Continuous source imaging of scalp ictal rhythms in temporal lobe epilepsy. Epilepsia, 38, 1114–1123. https://doi.org/10.1111/j.1528-1157.1997.tb01201.x
Scherg, M., & JS, E. (1994). Brain source imaging of focal and multifocal epileptiform EEG activity. Neurophysiologie Clinique, 24, 51–60. https://doi.org/10.1016/S0987-7053(05)80405-8


Key paper on BESA source coherence / time-frequency analysis

6200472 7RFPKDX9 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22YPKVRD3E%22%2C%22library%22%3A%7B%22id%22%3A6200472%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hoechstetter%20et%20al.%22%2C%22parsedDate%22%3A%222004%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BHoechstetter%2C%20K.%2C%20Bornfleth%2C%20H.%2C%20Weckesser%2C%20D.%2C%20Ille%2C%20N.%2C%20Berg%2C%20P.%2C%20%26amp%3B%20M%2C%20S.%20%282004%29.%20Besa%20source%20coherence%3A%20A%20new%20method%20to%20study%20cortical%20oscillatory%20coupling.%20%26lt%3Bi%26gt%3BBrain%20Topography%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B16%26lt%3B%5C%2Fi%26gt%3B%2C%20233%26%23x2013%3B238.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1023%5C%2FB%3ABRAT.0000032857.55223.5d%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1023%5C%2FB%3ABRAT.0000032857.55223.5d%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Besa%20source%20coherence%3A%20A%20new%20method%20to%20study%20cortical%20oscillatory%20coupling%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22K.%22%2C%22lastName%22%3A%22Hoechstetter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22H.%22%2C%22lastName%22%3A%22Bornfleth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.%22%2C%22lastName%22%3A%22Weckesser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22N.%22%2C%22lastName%22%3A%22Ille%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22P.%22%2C%22lastName%22%3A%22Berg%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Scherg%22%2C%22lastName%22%3A%22M%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222004%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1023%5C%2FB%3ABRAT.0000032857.55223.5d%22%2C%22collections%22%3A%5B%227RFPKDX9%22%5D%2C%22dateModified%22%3A%222019-12-17T15%3A19%3A35Z%22%7D%7D%5D%7D
Hoechstetter, K., Bornfleth, H., Weckesser, D., Ille, N., Berg, P., & M, S. (2004). Besa source coherence: A new method to study cortical oscillatory coupling. Brain Topography, 16, 233–238. https://doi.org/10.1023/B:BRAT.0000032857.55223.5d


Key papers on EEG artifact correction

6200472 FYIXEQQY 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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Key papers on combined neuroimaging (EEG, MEG, fMRI, PET)

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Key papers on SESAME

6200472 CHJEWJKP 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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Luria, G. (n.d.). The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG. Frontiers in Human Neuroscience.
Viani, A., Luria, G., Sorrentino, A., & Bornfleth, H. (n.d.). WHERE BAYES TWEAKS GAUSS: CONDITIONALLY GAUSSIAN PRIORS FOR STABLE MULTI-DIPOLE ESTIMATION.


Other papers on methods

6200472 FMNM3GVG 1 apa 50 date desc 3254 https://www.besa.de/wp-content/plugins/zotpress/
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Wang, Y., Berg, P., & Scherg, M. (1999). Common spatial subspace decomposition applied to analysis of brain responses under multiple task conditions: a simulation study. Clinical Neurophysiology, 110, 604–614. https://doi.org/10.1016/S1388-2457(98)00056-X
Scherg, M. (1994). From EEG source localization to source imaging. Acta Neurologica Scandinavica. Supplementum., 152, 29–30. https://doi.org/10.1111/j.1600-0404.1994.tb05180.x
Berg, P., & Scherg, M. (1994). A fast method for forward computation of multiple-shell spherical head models. Electroencephalography & Clinical Neurophysiology, 90(1), 58–64. https://doi.org/10.1016/0013-4694(94)90113-9
Miltner, W., Braun, C., Jr, J. R., Simpson, G. V., & DS, R. (1994). A test of brain electrical source analysis (BESA): a simulation study. Electroencephalography & Clinical Neurophysiology, 91, 295–310. https://doi.org/10.1016/0013-4694(94)90193-7
Scherg, M. (1992). Functional imaging and localization of electromagnetic brain activity. Brain Topography, 5, 103–111. https://doi.org/10.1007/BF01129037
Berg, P., & Scherg, M. (1991). Dipole models of eye movements and blinks. Electroencephalography & Clinical Neurophysiology, 79(1), 36–44. https://doi.org/10.1016/0013-4694(91)90154-V
Scherg, M., & Berg, P. (1991). Use of prior knowledge in brain electromagnetic source analysis. Brain Topography, 4, 143–150. https://doi.org/10.1007/BF01132771
Scherg, M. (1984). Spatio-temporal modelling of early auditory evoked potentials. Revue de Laryngologie Otologie Rhinologie, 105(2), 163–170.
Scherg, M. (1982). Distortion of the middle latency auditory response produced by analog filtering. Scandinavian Audiology, 11, 57–60. https://doi.org/10.3109/01050398209076200

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