<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>1</volume><submitter>Bevilacqua M</submitter><pubmed_abstract>&lt;i>Objective:&lt;/i> Brain-computer interface (BCI) spelling is a promising communication solution for people in paralysis. Currently, BCIs suffer from imperfect decoding accuracy which calls for methods to handle spelling mistakes. Detecting error-related potentials (ErrPs) has been early identified as a potential remedy. Nevertheless, few works have studied the elicitation of ErrPs during engagement with other BCI tasks, especially when BCI feedback is provided continuously. &lt;i>Methods:&lt;/i> Here, we test the possibility of correcting errors during pseudo-online Motor Imagery (MI) BCI spelling through ErrPs, and investigate whether BCI feedback hinders their generation. Ten subjects performed a series of MI spelling tasks with and without observing BCI feedback. &lt;i>Results:&lt;/i> The average pseudo-online ErrP detection accuracy was found to be significantly above the chance level in both conditions and did not significantly differ between the two (74% with, and 78% without feedback). &lt;i>Conclusions:&lt;/i> Our results support the possibility to detect ErrPs during MI-BCI spelling and suggest the absence of any BCI feedback-related interference.</pubmed_abstract><journal>IEEE open journal of engineering in medicine and biology</journal><pagination>17-22</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8979633</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online Brain-Controlled Speller.</pubmed_title><pmcid>PMC8979633</pmcid><pubmed_authors>Perdikis S</pubmed_authors><pubmed_authors>Millan JDR</pubmed_authors><pubmed_authors>Bevilacqua M</pubmed_authors></additional><is_claimable>false</is_claimable><name>On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online Brain-Controlled Speller.</name><description>&lt;i>Objective:&lt;/i> Brain-computer interface (BCI) spelling is a promising communication solution for people in paralysis. Currently, BCIs suffer from imperfect decoding accuracy which calls for methods to handle spelling mistakes. Detecting error-related potentials (ErrPs) has been early identified as a potential remedy. Nevertheless, few works have studied the elicitation of ErrPs during engagement with other BCI tasks, especially when BCI feedback is provided continuously. &lt;i>Methods:&lt;/i> Here, we test the possibility of correcting errors during pseudo-online Motor Imagery (MI) BCI spelling through ErrPs, and investigate whether BCI feedback hinders their generation. Ten subjects performed a series of MI spelling tasks with and without observing BCI feedback. &lt;i>Results:&lt;/i> The average pseudo-online ErrP detection accuracy was found to be significantly above the chance level in both conditions and did not significantly differ between the two (74% with, and 78% without feedback). &lt;i>Conclusions:&lt;/i> Our results support the possibility to detect ErrPs during MI-BCI spelling and suggest the absence of any BCI feedback-related interference.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020</publication><modification>2025-04-19T21:50:19.521Z</modification><creation>2025-04-19T21:50:19.521Z</creation></dates><accession>S-EPMC8979633</accession><cross_references><pubmed>35402943</pubmed><doi>10.1109/OJEMB.2019.2962879</doi></cross_references></HashMap>