2018
DOI: 10.1038/s41598-018-34711-1
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Brain-machine interface cursor position only weakly affects monkey and human motor cortical activity in the absence of arm movements

Abstract: Brain-machine interfaces (BMIs) that decode movement intentions should ignore neural modulation sources distinct from the intended command. However, neurophysiology and control theory suggest that motor cortex reflects the motor effector’s position, which could be a nuisance variable. We investigated motor cortical correlates of BMI cursor position with or without concurrent arm movement. We show in two monkeys that subtracting away estimated neural correlates of position improves online BMI performance only i… Show more

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Cited by 9 publications
(10 citation statements)
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References 52 publications
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“…One potential explanation is that the magnitude of the displacement across location conditions was limited in our paradigm to accommodate all axis orientations and still guarantee that cursor movement remained within the confines of the display. Nevertheless, the lesser impact of movement location we observed is consistent with previous reports that cursor position in a BCI setting had only minor correlates in motor cortical activity and did not interfere with performance during neuroprosthetic control 36 .…”
Section: Discussionsupporting
confidence: 92%
“…One potential explanation is that the magnitude of the displacement across location conditions was limited in our paradigm to accommodate all axis orientations and still guarantee that cursor movement remained within the confines of the display. Nevertheless, the lesser impact of movement location we observed is consistent with previous reports that cursor position in a BCI setting had only minor correlates in motor cortical activity and did not interfere with performance during neuroprosthetic control 36 .…”
Section: Discussionsupporting
confidence: 92%
“…5). This is consistent with previous work showing that cursor kinematics such as cursor position only weakly affect activity controlling a BMI in the absence of arm movements 36 .…”
Section: The Different Activity Patterns Used To Issue the Same Output Are Predicted By A Model Of Invariant Dynamicssupporting
confidence: 93%
“…We did not analyze the rare trials where the participant missed a word, misspoke, or if the trial was interrupted by a loud noise from the environment. On the first session, the number of trials for each speaking condition were: silence (34), 'seal' (33), 'shot' (34), 'more' (33), 'bat' (34), 'beet' (34). On the second session, the trial counts were: silence (34), 'seal' (34), 'shot' (34), 'more' (34), 'bat' (33) 'beet' (34).…”
Section: Stand-alone Speaking Taskmentioning
confidence: 99%