Brain Engineering via Neuroimaging Modalities

Investigating brain functions measured by various neuroimaging modalities such as functional MRI (fMRI) and electroencephalography (EEG) toward potential applications such as brain health care 
systems including brain-computer interface (BCI) and brain-machine interface (BMI) to enhance human performance.

 Our goal is to investigate brain functions measured via various neuroimaging modalities including functional MRI (fMRI) and electroencephalography (EEG) employing various signal processing techniques. We have done some interesting works including the fMRI data analyses using a novel analytical methods of independent vector analysis (IVA) and iterative dual-regression with a sparse prior to better estimate true neuronal activity, simultaneous EEG-fMRI method toward sleep and epilepsy study, and real-time fMRI based neurofeedback method. Based on correct understanding of human brain functions, we would like to focus on the brain engineering including the BCI/BMI and ultimately on preclinical applications to develop an option to diagnose and treat the various neuropsychiatric illnesses such as depression, schizophrenia, and substance abuse. We believe that the proper analytical methods to exploit the hidden information of the neuroimaging data would lead to better understanding of the human brain and to better engineer the brain and ultimately toward enhancement of quality of life.

Now, the Question is: 
Brain engineering and brain healthcare applications as well as enhancement of human performance via neuroimaging modalities are possible?


Released Toolbox

Recursive approach of EEG-segment-based principal component analysis (rsPCA) toolbox has been released (click here)
 - Version 1.0: Working on MATLAB framework

Iterative dual-regression with sparse prior (IDRwSP) toolbox has been released on NITRC (click here)
 - Version 1.0: Working on MATLAB framework


Unsupervised learning ICA pioneer award, SPIE DSS, Baltimore, Maryland, USA, May 7-9, 2014, 
Awardee: Jong-Hwan Lee
Title: Unsupervised learning toward brain imaging data analysis

Best Poster Award, Brain Engineering Society of Korea (BESK), 2014
Awardee: Hojung Kang

Recent Publications

Kim HC, Yoo SS, Lee JH, Recursive approach of EEG segment based principal component analysis substantially reduces helium-pump artifacts of EEG data simultaneously acquired with fMRI, NeuroImage, 2015, 104: 437-51.

Kim HC, Lee JH, Investigation of ERD/ERS of motor imagery and EEG band­specific hemodynamic couplings via EEG­fMRI, OHBM 2015, Honolulu, USA

Kim DY, Kim HC, Lee JH, Can the default-mode networks estimate brain regions associated with a real-time fMRI neurofeedback? A feasibility study, The 2nd International Conference on Real Time Functional Imaging and Neurofeedback, Florida, USA

Upcoming Conferences & Workshops

- 5th International Workshop onPattern Recognition in Neuroimaging (PRNI 2015), June 10-12, 2015, Stanford University, USA (https://sites.google.com/site/prni2015/.

- Organization for Human Brain Mapping 2015 (OHBM 2015), June 14-18, 2015, Honolulu, Hawaii, USA (http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=1)
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Posts in the Board

  • [News] Scientists Control Mouse Brain by Remote Control (No Photo Attached)Team from Washington University School of Medicine and the University of Illinois was able to plant a device to several mice with a brain damage. They were ...
    Posted Jul 28, 2015, 10:52 PM by 김성민
  • [News] Is inaudible noise making you deaf? The project, which coordinated by the Physikalisch-Technische Bundesanstalt (PTB) and which is one part of the project European Metrology Research Programme (EMRP), researched about whether people are affected by ...
    Posted Jul 22, 2015, 12:57 AM by DaWoon Heo
  • [News] How memory is formulated in the hippocampus Electrophysiological recordings in the medial temporal lobe could identify the changes of the memory formulation in the corresponding brain regions. For examples, "Clint Eastwood" neurons/cell in this regions are ...
    Posted Jul 16, 2015, 8:33 AM by Jong-Hwan Lee
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