02625nas a2200421   4500008004100000022001400041245010100055210006900156260000900225300001100234490000600245520128700251100002101538700002101559700002801580700002201608700002001630700002101650700002301671700001901694700002501713700002201738700002201760700002401782700002101806700002201827700002101849700002701870700001801897700002901915700002001944700002501964700002501989700002402014700002202038700002002060856012302080       2022                        eng d  a2326-263X00aWorkshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.0 aWorkshops of the Eighth International BrainComputer Interface Me  c2022  a69-1010 v93 a<p>The Eighth International Brain-Computer Interface (BCI) Meeting was held June 7-9th, 2021 in a virtual format. The conference continued the BCI Meeting series' interactive nature with 21 workshops covering topics in BCI (also called brain-machine interface) research. As in the past, workshops covered the breadth of topics in BCI. Some workshops provided detailed examinations of specific methods, hardware, or processes. Others focused on specific BCI applications or user groups. Several workshops continued consensus building efforts designed to create BCI standards and increase the ease of comparisons between studies and the potential for meta-analysis and large multi-site clinical trials. Ethical and translational considerations were both the primary topic for some workshops or an important secondary consideration for others. The range of BCI applications continues to expand, with more workshops focusing on approaches that can extend beyond the needs of those with physical impairments. This paper summarizes each workshop, provides background information and references for further study, presents an overview of the discussion topics, and describes the conclusion, challenges, or initiatives that resulted from the interactions and discussion at the workshop.</p>1 aHuggins, Jane, E1 aKrusienski, Dean1 aVansteensel, Mariska, J1 aValeriani, Davide1 aThelen, Antonia1 aStavisky, Sergey1 aNorton, James, J S1 aNijholt, Anton1 aMüller-Putz, Gernot1 aKosmyna, Nataliya1 aKorczowski, Louis1 aKapeller, Christoph1 aHerff, Christian1 aHalder, Sebastian1 aGuger, Christoph1 aGrosse-Wentrup, Moritz1 aGaunt, Robert1 aDusang, Aliceson, Nicole1 aClisson, Pierre1 aChavarriaga, Ricardo1 aAnderson, Charles, W1 aAllison, Brendan, Z1 aAksenova, Tetiana1 aAarnoutse, Erik  uhttps://www.neurotechcenter.org/publications/2022/workshops-eighth-international-brain-computer-interface-meeting-bcis02632nas a2200217   4500008004100000245012200041210006900163260001200232520184800244653004002092653003502132653004402167653001702211100002102228700002102249700001702270700002102287700002102308700002102329856006402350       2019                        eng d00aAn exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data0 aexploration of BCI performance variations in people with amyotro  c05/20193 aObjective. Brain-computer interface (BCI) technology enables people to use direct measures of brain activity for communication and control. The National Center for Adaptive Neurotechnologies (NCAN) and Helen Hayes Hospital are studying long-term independent home use of P300-based BCIs by people with amyotrophic lateral sclerosis (ALS). This BCI use takes place without technical oversight, and users can encounter substantial variation in their day-to-day BCI performance. The purpose of this study is to identify and evaluate features in the electroencephalogram (EEG) that correlate with successful BCI performance during home use with the goal of improving BCI for people with neuromuscular disorders. Approach. Nine people with ALS used a P300-based BCI at home over several months for communication and computer control. Sessions from a routine calibration task were categorized as successful (≥70%) or unsuccessful (<70%) BCI performance. The correlation of temporal and spectral EEG features with BCI performance was then evaluated. Main Results. BCI performance was positively correlated with an increase in alpha-band (8-14 Hz) activity at locations PO8, P3, Pz, and P4; and beta-band (15-30 Hz) activity at occipital locations. In addition, performance was significantly positively correlated with a positive deflection in EEG amplitude around 220 ms at frontal mid-line locations (i.e., Fz and Cz). BCI performance was negatively correlated with delta-band (1-3 Hz) activity recorded from occipital locations. Significance. These results highlight the variability found in the EEG and describe EEG features that correlate with successful BCI performance during day-to-day use of a P300-based BCI by people with ALS. These results should inform studies focused on improved BCI reliability for people with neuromuscular disorders.10aamyotrophic lateral sclerosis (ALS)10aBrain-computer interface (BCI)10aLongitudinal Electroencephalogram (EEG)10aP300 speller1 aShahriari, Yalda1 aVaughan, Theresa1 aMcCane, Lynn1 aAllison, Brendan1 aWolpaw, Jonathan1 aKrusienski, Dean  uhttps://iopscience.iop.org/article/10.1088/1741-2552/ab22ea