Jessica Fleck

My research interests fall into two areas in cognitive neuroscience: a) the brain activity that accompanies creative thought and creativity enhancement, and b) changes in brain networks during aging and the role of various lifestyle factors, such as social engagement and exercise, in maintaining healthy brain networks during aging. I use high-density electroencephalography (EEG) to explore how the brain is connected at rest and when participants are completing cognitive tasks, such as creative problem solving or attention.  In Stockton’s EEG Laboratory, we use EEG to record electrical activity from the brain using EEG caps with 128 recording electrodes.  We collect data from Stockton students, but also from adults and older adults in the local community.

Fleck, J.I., Kuti, J., Brown, J., Mahon, J.R. & Gayda-Chelder, C. (2016). Frontal-posterior coherence and cognitive function in older adults. International Journal of Psychophysiology, 10, 217-230. (pdf)

Fleck, J.I., Kuti, J., Mercurio, J., Mullen, S., Austin, K. & Pereira, O. (2017). The Impact of Age and Cognitive Reserve on Resting-State Brain Connectivity. Frontiers in Aging Neuroscience, 9. (pdf)

Fleck, J.I., Olsen, R., Tumminia, M., DePalma, F., Berroa, J., Vrabel, A. & Miller, S. (2018). Changes in brain connectivity following exposure to bilateral eye movements. Brain and Cognition, 123, 142-153. (pdf)

Dr. Fleck is on sabbatical for the 2018-2019 academic year and is not accepting new research assistants during this time.

Research opportunities in the lab typically fall into two areas: a) participant recruitment and data collection and b) signal processing and data analysis. Collecting data from community members requires that we recruit participants who are a match for the current research project. This can include screening potential participants for appropriateness. During data collection, student research work in pairs to apply the EEG net and record brain activity from participants.  All EEG data are then processed using MATLAB code and MATLAB toolboxes that were created to process EEG signals.  Data processing includes detecting and removing artifact from the EEG signal, such as eye blinks, and processing the cleaned EEG signal using spectral analyses and event related potentials. We rely heavily on measures of brain connectivity and brain network organization.

  • All research assistants must commit to a minimum on one full year in the lab to be involved. No student will be accepted for a single-semester experience.
  • Students will be expected to commit 10 hours each week to research activities. Course credit is available for interested students.
  • Students must be detailed-oriented and highly motivated. Interested students will be trained to apply the EEG cap and record brain activity and/or process EEG data using MATLAB.
  • Preference will be given to Behavioral Neuroscience Minors and students with experience in computer programming and/or multivariate data analysis.
Statistical Methods and Experimental Psychology, or comparable experiences.
  • Computer Programming I and II
  • Advanced Statistics
  • Data Analysis Practicum
  • Cells and Molecules
  • Foundations of Neuroscience
  • Research in Neuroscience

Please send an email of interest to Your email should include the following:

  • Your complete name, Z number, program of study, and anticipated graduation date.
  • Relevant coursework and experiences to date. Be sure to detail prior coursework in research, statistics, biology, and computer programming.
  • Clarify why you are interested in becoming a research assistant in the EEG Laboratory and how this experience is relevant to your plans after graduation.

All student researchers will train together at the start of research project and work together for the duration of the project. No research assistant will be added mid-project. Projects typically begin at the start of the summer in conjunction with a Summer Intensive Research Experience course, or at the start of the fall semester.