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 Questions are: 
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 DY, Lee JH, Non-resting-state fMRI data analysis fMRI data analysis via default-mode networks: Feasibility study, the Fourth Biennial Conference on Resting State / Brain Connectivity, Boston, USA

Lee JH, Kim HC, Zhang Z, Lee SY, Neural bases of human strategic reasoning from functional MRI study, OHBM 2014, Hamburg, Germany

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)
 <General board>

Posts in the Board

  • How your brain can heal your body: Astonishing new research reveals the brain's ability to rewire itself can conquer pain - and overcome 'untreatable' illnesses Neuroplasticity, in the article, is the brain to change its structure and how it works in response to mental activity and experience. The article shows the research about the neuroplasticity ...
    Posted Feb 27, 2015, 7:30 PM by DaWoon Heo
  • [News] Neuroimaging Offers Insights into Efficacy of Pain Meds There are a limitations of the small sample size. Also identifying treatment effect from the single area in the brain can be excessively small.However researchers found that functional MRI ...
    Posted Feb 22, 2015, 5:50 AM by DaWoon Heo
  • The Neuroscience of Lucid Dreams A recent research, published earlier this month in the Journal of neuroscience started to determine people with high and low dream lucidity were different in their metacognitive ability, that is ...
    Posted Feb 21, 2015, 10:24 PM by 서득원
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