Brain Computer Interface Laboratory

Laboratory Head: Dr. Ning Jiang

The closed-loop BCI system that induces cortical neural plasticity for stroke rehabilitation.

 

 

Laboratory Activities:

Brain computer interface (BCI) lab at the Department of Neurorehabilitation Engineering focuses on decoding motor related information at the cortical level, using signals such as Electroencephalography (EEG), for the purpose of rehabilitation. Our unique vision for BCI application is different from most conventional BCI applications, such as communications tools for locked-in patients etc. In our lab, we seek to extract motor intentions (imagination or attempts) from EEG in real time, with which we use to trigger external devices (electric stimulator or robotic device) to provide artificial sensory feedback to subjects within a short latency. In this way, a causal relationship between the motor intention (cause, detected from EEG) and the artificial sensory feedback (result, triggered by the detection of motor intention) are established. We hypnotize that such a closed-loop BCI paradigm simulates the natural sensory-motor loop, which is compromised following stroke. Based on the Hebbian rule, such a causal relationship eastablished through the closed-loop BCI approach has the potential to promote positive cortical plasticity that facilitates the rehabilitation process for stroke and tremor patients. Currently, we are particularly interested in a special EEG signal modality called movement related cortical potential (MRCP) for the purpose of motion intention extraction. We are also working on advanced algorithms to extracting pathological (tremor) signatures from EEG and EMG recordings. These signatures will also allow applying appropriate interventions

 

Representative recent publications:

Imran Niazi, Natalie Mrachacz-Kersting, Ning Jiang, Nielsen Kim, Dario Farina,  "Peripheral electrical stimulation triggered by self-pace detection of motor intention enhances cortical excitability", IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 20, No. 4, pp. 592-604, Jul. 2012 (DOI:10.1109/TNSRE.2012.2194309)

 

Imran K. Niazi, Ning Jiang, Dario Farina, "Detection of movement intention from single-trial movement-related cortical potentials", Journal of Neural Engineering, vol. 8, No. 6, 066009, Oct. 2011  (DOI: 10.1088/1741-2560/8/6/066009)

 

Natalie Mrachacz-Kersting, Ning Jiang, Kim Dremstrup, Dario Farina, "A novel Brain-Computer Interface for Chronic Stroke Patients.", nominee of the 2012 BCI Award, to be awarded at Society for Neuroscience 2012, New Orleans, USA

 

Natalie Mrachacz-Kersting,Ning Jiang, Imran Niazi, and Dario Farina, "Peripheral electrical stimulation triggered by movement related cortical potentials enhances cortical excitability", Computational Neuroscience & Neurotechnology Bernstein Conference and Neurex Annual Meeting (BC11), Oct. 2011, Freiburg (DOI: 10.3389/conf.fncom.2011.53.00092)

 

Mrachacz-Kersting N, Kristensen SR, Niazi IK, Farina D. Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity. J Physiol. 2012 Apr 1;590(Pt 7):1669-82.