Bio


I am a postdoctoral scholar in the Department of Psychology at Stanford University working with Anthony Wagner. I use multimodal methods - including EEG, fMRI, and pupillometry - to better understand the relationship between multiple distinct types of attention and memory.

I received a PhD in Psychology in 2021 from the University of Chicago, where I worked with Edward Awh, Edward Vogel, and Monica Rosenberg. I completed my undergraduate training in 2015 at the University of Illinois Urbana-Champaign, where I worked with Daniel Simons.

Professional Education


  • Doctor of Philosophy, University of Chicago (2021)
  • Master of Arts, University of Chicago (2017)
  • Bachelor of Science, University of Illinois at Urbana Champaign (2015)
  • Doctor of Philosophy, University of Chicago (2021)
  • Master of Arts, University of Chicago (2017)
  • Bachelor of Science, University of Illinois, Urbana-Champaign (2015)

All Publications


  • Inter-electrode correlations measured with EEG predict individual differences in cognitive ability. Current biology : CB Hakim, N., Awh, E., Vogel, E. K., Rosenberg, M. D. 2021

    Abstract

    Human brains share a broadly similar functional organization with consequential individual variation. This duality in brain function has primarily been observed when using techniques that consider the spatial organization of the brain, such as MRI. Here, we ask whether these common and unique signals of cognition are also present in temporally sensitive but spatially insensitive neural signals. To address this question, we compiled electroencephalogram (EEG) data from individuals of both sexes while they performed multiple working memory tasks at two different data-collection sites (n= 171 and 165). Results revealed that trial-averaged EEG activity exhibited inter-electrode correlations that were stable within individuals and unique across individuals. Furthermore, models based on these inter-electrode correlations generalized across datasets to predict participants' working memory capacity and general fluid intelligence. Thus, inter-electrode correlation patterns measured with EEG provide a signature of working memory and fluid intelligence in humans and a new framework for characterizing individual differences in cognitive abilities.

    View details for DOI 10.1016/j.cub.2021.09.036

    View details for PubMedID 34637747