We are looking for a motivated and ambitious research master’s student (preferably from a clinical/neuropsychology or related program) who wants to delve into (already collected) EEG data and re-analyze the data using time-frequency analysis. We are interested in error-related oscillations in case-control studies of addiction. Previous research has observed reductions in brain activation when processing errors (elicited in cognitive performance tasks). For example, event-related potential error-related negativity is reduced in patients with addiction disorders.

For the current project, we are basing our hypotheses and analyses on a paper by another lab member: https://www.researchsquare.com/article/rs-4191422/v1. You will gain experience with the Brain Vision Analyzer, coding in Matlab, as we will be using EEGLAB to analyze the data. Prior to the analyses, we will write a preliminary draft of this manuscript. This project can lead to your master’s thesis. The student can start in September 2024 and depending on your availability, the duration and intensity can be negotiated. You can also help with data collection for ongoing projects in the Department of Psychology, Education and Child Studies (DPECS: https://www.eur.nl/essb) and participate in the CeSAR (Center for Substance Use & Addiction Research) research group.

Location: Erasmus University Rotterdam, Campus Woudestein

Supervisor: Miranda C. Lutz (for more information & submission of application lutz@essb.eur.nl) or Emese Kroon