000181896 001__ 181896
000181896 005__ 20180913061600.0
000181896 037__ $$aPOST_TALK
000181896 245__ $$aBimanual brain-machine interface
000181896 269__ $$a2012
000181896 260__ $$c2012
000181896 336__ $$aPosters
000181896 520__ $$aBrain-machine interfaces (BMIs) - devices that connect brain areas to external actuators - strive to restore limb mobility and sensation to patients suffering from paralysis or limb loss. Here we report a novel BMI that controls two virtual arms simultaneously. The development of BMIs for bimanual control is important because even the most basic daily movements such as opening a jar or buttoning a shirt require two arms. We for the first time have designed and implemented a bimanual BMI where activity of multiple cortical areas is translated in real-time into center-out reaching movements performed by two virtual arms. Eight multielectrode arrays, a total of 768 electrode channels, were implanted in the primary motor (M1), sensory (S1), supplementary motor (SMA), dorsal premotor (PMd), and posterior parietal (PP) cortices of both hemispheres of a rhesus monkey. Movement kinematics of each arm were extracted from the same ensemble of 400 neurons using a Wiener filter and an unscented Kalman filter (UKF). Typically, a single neuron contributed to the movements of both left and right arms. Movements were enacted by arms of a virtual rhesus monkey avatar on a computer screen presented in first-person to the monkey. On each trial, the virtual arms moved their central locations to peripheral targets presented simultaneously on the right and left sides of the computer screen. Peri-event time histograms and linear discriminant analysis revealed a highly distributed encoding scheme, with movement directions of both limbs represented by both ipsilateral and contralateral areas. Furthermore, movements were represented by multiple cortical regions, including both primary and non-primary motor areas which have been previously identified areas important for bimanual coordination. Over the course of several weeks of real-time BMI control, the monkey’s performance clearly improved both when the monkey continued to move the joystick and when the joystick was removed. These results support the feasibility of cortically-driven clinical neural prosthetics for bimanual operations.
000181896 6531_ $$aBi-manual brain machine interface, chronic implants, brain plasticity
000181896 700__ $$aIfft, Peter
000181896 700__ $$0242144$$g128971$$aShokur, Solaiman
000181896 700__ $$aLebedev, Mikhail
000181896 700__ $$aLi, Zheng
000181896 700__ $$0244714$$g169972$$aNicolelis, Miguel
000181896 7112_ $$dOctober 13-17, 2012$$cNew Orleans, LA.$$aSociety for Neuroscience
000181896 720_2 $$aNicolelis, Miguel$$edir.
000181896 909C0 $$0252016$$pLSRO
000181896 909CO $$ooai:infoscience.tind.io:181896$$pSTI$$pposter
000181896 917Z8 $$x128971
000181896 937__ $$aEPFL-POSTER-181896
000181896 973__ $$sPUBLISHED$$aOTHER
000181896 980__ $$aPOSTER