Experiment

Reconstructing the Control Inputs and Flight Path of the Airplane from Brain Activity of the Pilot Recorded by MEG in Real Time

Objective

The objective of this reseach is to be able to reconstruct (sparse regression) the aileron and evelvator deflections from source localized cortical brain activity in real time using a brain-machine-interface to predict direction of flight as well as to pilot the plane directly by the brain. Airplane from Brain Activity of the Pilot Recorded by MEG in Real Time

Task/Conditions/Example

Task
Condition

Example Movie of flying task

Please install the Flash Plugin

Task

Results

Flight Parameters (position of ailerons and elevator corresponding to control stick position) are predicted using sparse regression 200 msec prior to corresponding control stick movement from cortical current located in motor brain regions extracted by ICA and VBMEG.

For the two brain regions thought to be involved with the task (Visual Cortex and Post-Central Gyrus) the direction or roll can be predicted quite accurately. Compare with brain regions not thought to be involved with the task (Cingulate Gyrus) and the channels recording eye-movement (EOG) that were extracted using ICA. Differences between the brain regions involved with the task and those not involved with the task as well as channels recording eye movement suggests that ICA was successful in removing these artifacts.


Please install the Flash Plugin