Pub Date : 2020-01-01Epub Date: 2020-11-18DOI: 10.1080/2326263X.2020.1848134
A Geronimo, Zachary Simmons
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.
{"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":null,"pages":null},"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}
Pub Date : 2019-12-17DOI: 10.1080/2326263x.2019.1698928
Alborz Rezazadeh Sereshkeh, R. Yousefi, Andrew T. Wong, Frank Rudzicz, T. Chau
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...
{"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":null,"pages":null},"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}
Pub Date : 2019-10-02DOI: 10.1080/2326263x.2020.1746492
J. Huggins, M. Slutzky
{"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":null,"pages":null},"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}
Pub Date : 2019-10-02DOI: 10.1080/2326263x.2019.1697143
F. Lotte, C. Jeunet, Ricardo Chavarriaga, L. Bougrain, Dave Thompson, Reinhold Scherer, Rakibul Mowla, A. Kübler, M. Grosse-Wentrup, K. Dijkstra, Natalie Dayan
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...
不符合预期的结果通常被称为“负面”结果。虽然它们对科学进步至关重要,但在文献中却很少有报道。
{"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":null,"pages":null},"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}
Pub Date : 2019-10-02DOI: 10.1080/2326263x.2019.1708539
Tanja Krumpe, Peter Gerjets, W. Rosenstiel, M. Spüler
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...
{"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":null,"pages":null},"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}
Pub Date : 2019-10-02DOI: 10.1080/2326263x.2020.1729652
Aziz Koçanaoğulları, Y. Marghi, M. Akçakaya, Deniz Erdoğmuş
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...
{"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":null,"pages":null},"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}
Jeffrey M. Weiss, R. Gaunt, R. Franklin, M. Boninger, J. Collinger
While recent advances in intracortical brain-computer interfaces (iBCI) have demonstrated the ability to restore motor and communication functions, such demonstrations have generally been confined to controlled experimental settings and have required bulky laboratory hardware. Here, we developed and evaluated a self-contained portable iBCI that enabled the user to interact with various computer programs. The iBCI, which weighs 1.5 kg, consists of digital headstages, a small signal processing hub, and a tablet PC. A human participant tested the portable iBCI in laboratory and home settings under an FDA Investigational Device Exemption (NCT01894802). The participant successfully completed 96% of trials in a 2D cursor center-out task with the portable iBCI, a rate indistinguishable from that achieved with the standard laboratory iBCI. The participant also completed a variety of free-form tasks, including drawing, gaming, and typing.
{"title":"Demonstration of a portable intracortical brain-computer interface","authors":"Jeffrey M. Weiss, R. Gaunt, R. Franklin, M. Boninger, J. Collinger","doi":"10.1101/19004721","DOIUrl":"https://doi.org/10.1101/19004721","url":null,"abstract":"While recent advances in intracortical brain-computer interfaces (iBCI) have demonstrated the ability to restore motor and communication functions, such demonstrations have generally been confined to controlled experimental settings and have required bulky laboratory hardware. Here, we developed and evaluated a self-contained portable iBCI that enabled the user to interact with various computer programs. The iBCI, which weighs 1.5 kg, consists of digital headstages, a small signal processing hub, and a tablet PC. A human participant tested the portable iBCI in laboratory and home settings under an FDA Investigational Device Exemption (NCT01894802). The participant successfully completed 96% of trials in a 2D cursor center-out task with the portable iBCI, a rate indistinguishable from that achieved with the standard laboratory iBCI. The participant also completed a variety of free-form tasks, including drawing, gaming, and typing.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2019-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77962314","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}
Pub Date : 2019-08-28DOI: 10.1080/2326263x.2019.1655837
Frederic Gilbert, C. Pham, J. Viaña, W. Gillam
This article explores how brain-computer interfaces (BCI) are depicted in the English-speaking media, especially by news outlets. We use the FACTICA database to analyze depictions of BCIs from the first time the term appeared in the media (1993) up until 31 December 2017. We found a sample of over 4064 articles on BCIs. Results indicate that 76.91% of articles portrayed BCI positively, including 25.27% that were overly positive, while 26.64 % of the total articles contain claims about BCI-enabled enhancement. In contrast, 1.6% of articles had a negative tone and only 2.7% of articles flag issues explicitly related to ethical concerns surrounding BCI technology. We propose: 1) A proactive effort by the scientific community to push-out to the media stories focused on the limits and actual capabilities of BCIs, separating science from science fiction; 2) More influence should be brought to bear on the technological risks and process of informed consent.
{"title":"Increasing brain-computer interface media depictions: pressing ethical concerns","authors":"Frederic Gilbert, C. Pham, J. Viaña, W. Gillam","doi":"10.1080/2326263x.2019.1655837","DOIUrl":"https://doi.org/10.1080/2326263x.2019.1655837","url":null,"abstract":"This article explores how brain-computer interfaces (BCI) are depicted in the English-speaking media, especially by news outlets. We use the FACTICA database to analyze depictions of BCIs from the first time the term appeared in the media (1993) up until 31 December 2017. We found a sample of over 4064 articles on BCIs. Results indicate that 76.91% of articles portrayed BCI positively, including 25.27% that were overly positive, while 26.64 % of the total articles contain claims about BCI-enabled enhancement. In contrast, 1.6% of articles had a negative tone and only 2.7% of articles flag issues explicitly related to ethical concerns surrounding BCI technology. We propose: 1) A proactive effort by the scientific community to push-out to the media stories focused on the limits and actual capabilities of BCIs, separating science from science fiction; 2) More influence should be brought to bear on the technological risks and process of informed consent.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2019-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82964339","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}