Chun-Wei Hsu · 許珺崴

Research Interests

I am interested in how people conduct high-level cognition in complex social interaction and how people evaluate different choices, expect the pay-offs and take action during the decision-making process. After taking courses and reading recent articles combining cognition or social psychology with neuroscience, I realized that the way people reason and form self-perceptions shapes their behaviors. The prefrontal lobe plays a vital role in these processes. In a social situation, ideal interaction requires people to stimulate others' perspectives to shape their behaviors, which is of great interest to me. In order to understand the above questions, human neuro-imaging methods with fMRI or EEG combined with behavioural paradigms is the neuroscience approach I want to use to answer my research questions.

Keywords:

  • Cognitive Neuroscience;
  • fMRI;
  • Social cognition;
  • Neuroimaging

Education Background

I was a Marie Curie Fellow in CogNovo program at the University of Plymouth and I have been awarded a Ph.D. in July 2018. I have an MSc in Cognitive Neuroscience at University of Sheffield and double bachelor degrees in Life Science and Psychology at National Taiwan University.

Research Experience

Apr. 2014 – Jul. 2018
Ph.D.’s thesis: A Behavioral and Cognitive Neuroscience Investigation of Deception Communication (supervisor: Dr. Giorgio Ganis, University of Plymouth)
Oct. 2013 – Apr. 2014
Research Assistant in Brain and Mind Laboratory, Dr. Joshua Goh Oon Soo, College of Medicine, NTU
Involved in project: “Neurofunctional evidence for the dual process theory on value-based decisions”
Mar. 2013– Aug. 2013
Master’s Thesis: Neural Correlates of Emotion Perception: Facial Feedback Hypothesis (supervisor: Dr. Thomas Farrow, University of Sheffield, UK)
Jul. 2011 – Aug. 2012
Research Assistant in LinguisticNeuroscience Laboratory, Dr. Tai-Li Chou, Department of Psychology, NTU Involved in project: “Is language important for perceiving emotions?: Motivation deficits in schizophrenia”

Publications

  1. Hsu, C. W., Begliomini, C., Dall’Acqua, T., Ganis, G. (2018, under review). The effect of mental countermeasures on neuroimaging-based concealed information tests. Human Brain Mapping.
  2. Hsu, C. W., & Goh, J. O. S. (2016). Distinct and Overlapping Brain Areas Engaged during Value-Based, Mathematical, and Emotional Decision Processing. Frontier in Human Neuroscience, 275. doi:10.3389/fnhum.2016.00275
  3. Ganis, G., Bridges, D., Hsu, C. W., & Schendan, H. E. (2016). Is anterior N2 enhancement a reliable electrophysiological index of concealed information? Neuroimage, 143, 152-165. doi:10.1016/j.neuroimage.2016.08.042

Conference paper

  1. Straeubig, M., Hsu, C. W., Oztop, P. and Taranu, M. (2016) ‘(How) Does Play Matters? A Transdisciplinary Approach to Play and its Relation to Neurobiology, Creativity and Deception.’, In Punt, M. Denham, S., and Doove, E. (eds). Off the Lip Conference – Transdisciplinary Approached to Cognitive Innovation, pp. 215-231. Plymouth. hdl:10026.1/4271.

Presentations

  1. Talk on “the effect of mental countermeasures on fMRI-based concealed information tests” at 2nd Conference of Decepticon, Stanford University, USA, August 2017.
  2. Poster presentation on “an ERP index of concealed information” at 23rd Annual meeting of Cognitive Neuroscience Society, New York, USA, April 2016.
  3. Poster presentation on “creative cognition and deceptive communications” at 1st Conference of Decepticon, University of Cambridge, UK, August 2015.
  4. Talk on “creative cognition and deceptive communications” at 7th Annual School of Psychology Conference, Plymouth University, June 2015.
  5. Poster presentation on “neurofunctional evidence for the dual process theory on value-based decisions” at 22nd Annual meeting of Cognitive Neuroscience Society, San Francisco, USA, March 2015.

Skills and Techniques

FMRI data analysis (Statistical Parametric Mapping, SPM 8) (e.g., preprocessing fMRI data, batchmode, group analysis, analysis of region of interest, conjunction) (Data were acquitted using a 3 Tesla Siemens Trio scanner with the 32-channel head coil), MRIcron, caret, EEGLAB, Basic MatLab, Python, E-prime, SPSS, NBS Presentation, Microsoft Word, Excel, and Power Point