Emily P. Stephen, PhD
Massachusetts Institute of Technology





My research interests focus on statistical modeling of neural signals at different spatial scales: spikes, LFP, ECoG, and EEG/MEG. Propagation of electrical and magnetic fields in the brain depends on both static anatomical features and state-dependent dynamical features like coherence, neuromodulation, and active pathways. I’m particularly interested in constructing models that use strong prior knowledge about these features in specific brain states to bridge spatial scales. Such models could explain apparent discrepancies in signals recorded at different scales and improve our understanding of the micro-scale dynamics that underlie macro-scale biomarkers of pathological states.

Pre-Doctoral Trainee (Previously held)
Boston University School of Medicine, Graduate Medical Sciences
Computational Neuroscience


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Stephen EP, Hotan GC, Pierce ET, Harrell PG, Walsh JL, Brown EN, Purdon PL. Broadband slow-wave modulation in posterior and anterior cortex tracks distinct states of propofol-induced unconsciousness. Sci Rep. 2020 Aug 13; 10(1):13701. PMID: 32792556
     
  2. Liu F, Stephen EP, Prerau MJ, Purdon PL. Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space. Int IEEE EMBS Conf Neural Eng. 2019 Mar; 2019:299-302. PMID: 31156761
     
  3. Beck AM, Stephen EP, Purdon PL. State Space Oscillator Models for Neural Data Analysis. Conf Proc IEEE Eng Med Biol Soc. 2018 07; 2018:4740-4743. PMID: 30441408
     
  4. Guidera JA, Taylor NE, Lee JT, Vlasov KY, Pei J, Stephen EP, Mayo JP, Brown EN, Solt K. Sevoflurane Induces Coherent Slow-Delta Oscillations in Rats. Front Neural Circuits. 2017; 11:36. PMID: 28725184
     
  5. Stephen EP, Lepage KQ, Eden UT, Brunner P, Schalk G, Brumberg JS, Guenther FH, Kramer MA. Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Front Comput Neurosci. 2014; 8:31. PMID: 24678295; DOI: 10.3389/fncom.2014.00031;
     

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 5 publications over 5 distinct years, with a maximum of 1 publications in 2014 and 2017 and 2018 and 2019 and 2020

YearPublications
20141
20171
20181
20191
20201

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