دورية أكاديمية
Towards hippocampal navigation for brain-computer interfaces.
| العنوان: | Towards hippocampal navigation for brain-computer interfaces. |
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| المؤلفون: | Saal J; Maastricht University, Universiteitssingel 50, 6299 ER, Maastricht, The Netherlands. Jeremy.Saal@ucsf.edu.; University of California, San Francisco, 675 Nelson Rising Ln, San Francisco, CA, 94158, USA. Jeremy.Saal@ucsf.edu., Ottenhoff MC; Maastricht University, Universiteitssingel 50, 6299 ER, Maastricht, The Netherlands., Kubben PL; Maastricht University, Universiteitssingel 50, 6299 ER, Maastricht, The Netherlands., Colon AJ; Academic Center for Epileptology Kempenhaeghe/MUMC, Kempenhaeghe, Heeze, The Netherlands., Goulis S; Maastricht University, Universiteitssingel 50, 6299 ER, Maastricht, The Netherlands., van Dijk JP; Academic Center for Epileptology Kempenhaeghe/MUMC, Kempenhaeghe, Heeze, The Netherlands., Krusienski DJ; Virginia Commonwealth University, Richmond, VA, USA., Herff C; Maastricht University, Universiteitssingel 50, 6299 ER, Maastricht, The Netherlands. c.Herff@maastrichtuniversity.nl. |
| المصدر: | Scientific reports [Sci Rep] 2023 Aug 28; Vol. 13 (1), pp. 14021. Date of Electronic Publication: 2023 Aug 28. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | Brain-Computer Interfaces*, Humans ; Hand ; Hippocampus ; Intention ; Movement |
| مستخلص: | Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelchair movements. For example, an imagined movement of the right hand would steer the wheelchair to the right. No research has investigated decoding higher-order cognitive processes to accomplish wheelchair control. We envision an invasive neural prosthetic that could provide input for wheelchair control by decoding navigational intent from hippocampal signals. Navigation has been extensively investigated in hippocampal recordings, but not for the development of neural prostheses. Here we show that it is possible to train a decoder to classify virtual-movement speeds from hippocampal signals recorded during a virtual-navigation task. These results represent the first step toward exploring the feasibility of an invasive hippocampal BCI for wheelchair control. (© 2023. Springer Nature Limited.) |
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| تواريخ الأحداث: | Date Created: 20230828 Date Completed: 20230831 Latest Revision: 20231121 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC10462616 |
| DOI: | 10.1038/s41598-023-40282-7 |
| PMID: | 37640768 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-40282-7 |