• EEG-assisted retrospective motion correction for fMRI (E-REMCOR) and automated implementation (aE-REMCOR)

EEG-assisted retrospective motion correction for fMRI (E-REMCOR) and automated implementation (aE-REMCOR)

Electroencephalography (EEG) concurrently acquired with fMRI provides high temporal resolution information about brain activity as well as subject head movement. We introduced an EEG-assisted retrospective motion correction (E-REMCOR) method that utilizes EEG data to correct for head movements in fMRI on a slice-by-slice basis and substantially improves the quality of the data. To further enhance the usability of E-REMCOR, especially for the large-scale EEG-fMRI studies, we developed an automatic and improved implementation of E-REMCOR, referred as aE-REMCOR.

2022-03-14T15:53:13+01:00December 16th, 2016|Categories: 2016, Issue 3/2016, User Research|Tags: , , , , , , , |

‘Brain training’ technique reboots leg movements and visceral feelings of paraplegics

Using an advanced set-up of brain-machine interface (BMI), the team of the principal investigator Dr. Miguel Nicolelis presented successful cases of long term BMI training impact on rehabilitation. Eight paraplegics – some of them paralyzed for more than a decade by severe spinal cord injury – have shown improvement in controlled movements and sensation below their injury level.

2022-02-10T16:52:00+01:00December 16th, 2016|Categories: 2016, Issue 3/2016, Products & Applications|Tags: , |
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