Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25715
Title: Optimal Number of Clusters by Measuring Similarity Among Topographies for Spatio-Temporal ERP Analysis
Authors: Mahini, R
Xu, P
Chen, G
Li, Y
Ding, W
Zhang, L
Qureshi, NK
Hämäläinen, T
Nandi, AK
Cong, F
Keywords: event-related potentials;optimal number of clusters;topographical analysis;time window;microstates;consensus clusterin
Issue Date: 18-Jul-2022
Publisher: Springer Nature
Citation: Mahini, R. et al. (2022) 'Optimal Number of Clusters by Measuring Similarity Among Topographies for Spatio-Temporal ERP Analysis', Brain Topography, 35 (5-6), pp. 537 - 557. doi: 10.1007/s10548-022-00903-2.
Description: Data Availability: The datasets analyzed in this article are not publicly available. Requests to access the datasets should be directed to Guoliang Chen.
A Correction to this article was published on 01 October 2022 at https://link.springer.com/article/10.1007/s10548-022-00918-9. The correction is as follows: "The original version of the article unfortunately contained a mistake. In “Materials and Methods” section, under the subheading “Simulated ERP Data”, the year 2006 which presented in the third line of the first paragraph should be removed. That is, the correct sentence should read as below, In order to validate the proposed methodology, simulated data was conducted using the BESA dipole simulator (https://www.besa.de/products/besa-simulator/besa-simulator-overview/) The original article has been corrected."
URI: https://bura.brunel.ac.uk/handle/2438/25715
DOI: https://doi.org/10.1007/s10548-022-00903-2
ISSN: 0896-0267
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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