Dariusz Zapała, Ali Hossaini, Mazaher Kianpour, Guillermo Sahonero-Alvarez, A. Ayesh
{"title":"A functional BCI model by the P2731 working group: psychology","authors":"Dariusz Zapała, Ali Hossaini, Mazaher Kianpour, Guillermo Sahonero-Alvarez, A. Ayesh","doi":"10.1080/2326263x.2021.1935124","DOIUrl":"https://doi.org/10.1080/2326263x.2021.1935124","url":null,"abstract":"","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"105 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76688957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Guthrie, Angelica J. Herrera, J. Downey, Lucas Brane, M. Boninger, J. Collinger
{"title":"The Impact of Distractions on Intracortical Brain-Computer Interface Control of a Robotic Arm","authors":"M. Guthrie, Angelica J. Herrera, J. Downey, Lucas Brane, M. Boninger, J. Collinger","doi":"10.1101/2021.01.28.21250556","DOIUrl":"https://doi.org/10.1101/2021.01.28.21250556","url":null,"abstract":"This was an investigational device observational trial with the objective to evaluate the impact of distractions on intracortical brain-computer interface (BCI) performance. Two individuals with tetraplegia had microelectrode arrays implanted into their motor cortex for trials of intracortical BCI safety and performance. The primary task was moving a robotic arm between two targets as quickly as possible, performed alone and with various secondary distraction conditions. Primary outcomes included targets acquired, path efficiency, and subjective difficulty. There was no difference in the number of targets acquired for either subject with or without distractions. Median path efficiency was similar across all conditions (range: 0.766-0.846) except the motor distraction for Subject P2, where the median path efficiency dropped to 0.675 (p = 0.033, Mann-Whitney U test). Both subjects rated the overall difficulty of the task with and without distractions as low. Overall, intracortical BCI performance was robust to various distractions.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"9 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84797670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brain-Computer InterfacesPub Date : 2020-01-01Epub Date: 2020-11-18DOI: 10.1080/2326263X.2020.1848134
A Geronimo, Zachary Simmons
{"title":"TeleBCI: remote user training, monitoring, and communication with an evoked-potential brain-computer interface.","authors":"A Geronimo, Zachary Simmons","doi":"10.1080/2326263X.2020.1848134","DOIUrl":"https://doi.org/10.1080/2326263X.2020.1848134","url":null,"abstract":"<p><p>Brain-computer interfaces (BCIs) are a movement-independent form of augmentative and alternative communication (AAC) for individuals with amyotrophic lateral sclerosis (ALS). The rare utilization of such devices in the homes of patients stems from a number of factors, one of which is the complexity of providing training and support for users. This paper describes the teleBCI interface used to train the patient and facilitator in the operation of a virtual keyboard using an evoked potential BCI. Fifteen patients with motor neuron disease and their communication partners were included in the study, participating from their homes while receiving remote support from the research team. Patient/caregiver teams completed 8 sessions each of P300 BCI training virtually with the researcher. As they participated in subsequent training sessions, participant teams required less help to complete physical, computer, and BCI-specific tasks associated with device use. A subset of users experienced improved performance over sessions, progressing to utilize the full functionality of the speller and communicate with a nurse partner over a telemedicine interface. Perceptions of device utility varied with accuracy of the BCI system. In the management of ALS, the integration of telemedicine provides new opportunities for care delivery, including how BCI-AAC are deployed and used.</p>","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"7 3-4","pages":"57-69"},"PeriodicalIF":2.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/2326263X.2020.1848134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25524206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alborz Rezazadeh Sereshkeh, R. Yousefi, Andrew T. Wong, Frank Rudzicz, T. Chau
{"title":"Development of a ternary hybrid fNIRS-EEG brain–computer interface based on imagined speech","authors":"Alborz Rezazadeh Sereshkeh, R. Yousefi, Andrew T. Wong, Frank Rudzicz, T. Chau","doi":"10.1080/2326263x.2019.1698928","DOIUrl":"https://doi.org/10.1080/2326263x.2019.1698928","url":null,"abstract":"There is increasing interest in developing intuitive brain-computer interfaces (BCIs) to differentiate intuitive mental tasks such as imagined speech. Both electroencephalography (EEG) and function...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"4 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79508723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Articles from the Seventh International Brain-Computer Interface Meeting","authors":"J. Huggins, M. Slutzky","doi":"10.1080/2326263x.2020.1746492","DOIUrl":"https://doi.org/10.1080/2326263x.2020.1746492","url":null,"abstract":"","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"31 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77265614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Lotte, C. Jeunet, Ricardo Chavarriaga, L. Bougrain, Dave Thompson, Reinhold Scherer, Rakibul Mowla, A. Kübler, M. Grosse-Wentrup, K. Dijkstra, Natalie Dayan
{"title":"Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research","authors":"F. Lotte, C. Jeunet, Ricardo Chavarriaga, L. Bougrain, Dave Thompson, Reinhold Scherer, Rakibul Mowla, A. Kübler, M. Grosse-Wentrup, K. Dijkstra, Natalie Dayan","doi":"10.1080/2326263x.2019.1697143","DOIUrl":"https://doi.org/10.1080/2326263x.2019.1697143","url":null,"abstract":"Results that do not confirm expectations are generally referred to as ‘negative’ results. While essential for scientific progress, they are too rarely reported in the literature – Brain–Machine Int...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"1 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84067100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tanja Krumpe, Peter Gerjets, W. Rosenstiel, M. Spüler
{"title":"Decision confidence: EEG correlates of confidence in different phases of an old/new recognition task","authors":"Tanja Krumpe, Peter Gerjets, W. Rosenstiel, M. Spüler","doi":"10.1080/2326263x.2019.1708539","DOIUrl":"https://doi.org/10.1080/2326263x.2019.1708539","url":null,"abstract":"We use an old-new recognition memory task to investigate the correlates of high and low decision confidence throughout all stages of the memory process. Group-level ERP analysis and single-trial an...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"36 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91177066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş
{"title":"An active recursive state estimation framework for brain-interfaced typing systems","authors":"Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş","doi":"10.1080/2326263x.2020.1729652","DOIUrl":"https://doi.org/10.1080/2326263x.2020.1729652","url":null,"abstract":"Typing systems driven by noninvasive electroencephalogram (EEG)-based brain–computer interfaces (BCIs) can help people with severe communication disorders (including locked-in state) communicate. T...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"20 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2019-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79245964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}