Brain Science and Engineering using Neuroimaging Modality


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.


Now, the Question is..

Brain engineering and brain healthcare applications as well as enhancement of human performance via neuroimaging modalities are possible?

  

Aims

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 novel analytical methods such as independent vector analysis (IVA), iterative dual-regression of group independent component analysis (ICA) with a sparse prior to better estimate true neuronal activity, recursive principal component analysis (PCA) to EEG-segments of simultaneous EEG-fMRI data, and deep neural network to fMRI data. The developed methods would gainfully be applied to the neuroimaging data including fMRI, simultaneous EEG-fMRI, 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.

Upcoming Conferences & Workshops

- The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), March 05-09, 2017, New Orleans, USA

- The International Workshop on Pattern Recognition in NeuroImaging (PRNI 2017), June 21-23, 2017, Toronto, Canada.

- The Organization for Human Brain Mapping 2017 Annual Meeting (OHBM 2017), June 25-29, 2017, Vancouver, Canada.
  • Recent Publications
  • Transcranial focused ultrasound stimulation of human primary visual cortex Lee W, Kim HC, Jung Y, Chung YA, Song IU, Lee JH, Yoo SS.Scientific Reports. 2016 Sep 23; 6:34026  [ PubMed / Google Scholar ]
    Posted Feb 2, 2017, 7:50 AM by DaWoon Heo
  • Smartphone-based psychotherapeutic micro-interventions to improve mood in a real-world setting Meinlschmidt G, Lee JH, Stalujanis E, Belardi A, Oh M, Jung EK, Kim HC, Alfano J, Yoo SS and Tegethoff MFrontiers in Psychology. 2016 Jul 28;7:112.[ PubMed ...
    Posted Feb 1, 2017, 2:50 PM by DaWoon Heo
Showing posts 1 - 2 of 35. View more »
  • General Board
  • [Award] Best Poster Paper Award, BESK Workshop 2017 (Feb. 09) Award winner: Hyun-Chul KimPoster title: Emotion prediction from the fMRI data using deep neural networkMany congratulations!
    Posted Feb 12, 2017, 12:34 AM by DaWoon Heo
  • [News] Better wisdom from crowds (from MIT news)The wisdom of crowds is not always perfect. But two scholars at MIT’s Sloan Neuroeconomics Lab, along with a colleague at Princeton University, have found a ...
    Posted Feb 10, 2017, 1:40 AM by DaWoon Heo
Showing posts 1 - 2 of 181. View more »