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.

  

Lab News


Upcoming Conferences & Workshops

- The Real-time Functional Imaging and Neurofeedback Conference (rtFIN 2017), Nov 29-Dec 01, 2017, Nara, Japan.
  • 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
  • [Blog] #CCNeuro asks: “How can we find out how the brain works?” The Brain Blog- Thoughts and discussion about the brain from Peter Bandettini and Eric WongIn this blog, the professor Eric Wong discussed about "How can we find out how ...
    Posted Nov 5, 2017, 7:24 PM by DaWoon Heo
  • [Article] 'Consciousness' in the machine learning (deep learning) perspective The Consciousness Prior Yoshua Bengio Université de Montréal, MILA September 26, 2017 AbstractA new prior is proposed for representation learning, which can be combined with other priors in order ...
    Posted Oct 9, 2017, 9:34 AM by Jong-Hwan Lee
Showing posts 1 - 2 of 189. View more »