Skip Navigation

Lilianne R. Mujica-Parodi, Ph.D.


Director of the  Laboratory for Computational Neurodiagnostics


Lilly Mujica-Parodi Lilianne R. Mujica-Parodi  is Director of the Laboratory for Computational Neurodiagnostics (LCNeuro). LCNeuro's research focuses on the application of control systems engineering and dynamical systems to human neuroimaging time series (fMRI, MEG, EEG, NIRS, ECOG), with neurodiagnostic applications to neurological and psychiatric disorders. Parallel development of instrumentation complements our analytical approaches by optimizing brain time series for dynamic fidelity. ( Citations )

  • One of LCNeuro’s primary goals is to identify key points of failure in the regulation of neural control circuits which, depending upon how they break, lead to signs and symptoms that cluster as distinct psychiatric diagnoses. As a test case for this approach, we are working to understand how the prefrontal-limbic circuit “computes” potential threat in the face of incomplete sensory data, across a clinical spectrum that ranges from pathological fear (generalized anxiety disorder, phobia, post-traumatic stress disorder, paranoid schizophrenia) to recklessness.
  • A second direction at LCNeuro considers fMRI connectivity as the solution to an optimization problem imposed, in part, by metabolic constraints at the mitochondrial scale. Theoretically, we use biomimetic modeling to predict trajectories, based on biological “rules” of energy optimization, which are then validated against data.  Experimentally, we expand and contract neurons’ access to energy while observing consequent self-organization and re-organization of networks. We hope that that this work will have important implications for understanding brain aging; specifically, the epidemiologically observed impact of insulin resistance on cognitive decline.
  • A third arm of our research works on maximizing signal/noise for fMRI data, using a combination of acquisition parameters and artifact-removal. Both require access to a “ground truth” for time series dynamics, which led to our invention (with Helmut Strey, Ph.D.) of a patent-pending calibration device (“fMRI dynamic phantom”), currently in commercial partnership with ALA Scientific Instruments, Inc.

lilly research 1

Lilly Research 2


  • 1998-2001   Fellow: Columbia University College of Physicians & Surgeons (New York, NY)
  • 1993-1998   Ph.D.: Columbia University College of Arts & Sciences (New York, NY)
  • 1988-1992   B.A.: Georgetown University College of Arts & Sciences (Washington, DC)


  • 09/01-08/03, Assistant Professor, Columbia University—New York NY; Clinical Neuroscience, Dept. of Psychiatry
  • 09/03-11/11, Assistant Professor, State University of New York—Stony Brook NY; Dept. of Biomedical Engineering
  • 05/10-08/10, Visiting Professor, Ludwig-Maximilians Universität—Munich Germany; Bernstein Center for Computational Neuroscience, Dept. of Neurology
  • 02/13-current, Associate Neuroscientist/Lecturer, A.A. Martinos Center for Biomedical Imaging—Charlestown MA, Massachusetts General Hospital/Harvard Medical School, Dept. of Radiology
  • 12/11-06/18, Associate Professor, State University of New York—Stony Brook NY (Tenured); Core faculty:   Department of Biomedical Engineering;  Secondary affiliations:  Laufer Center for Physical and Quantitative Biology, Program in Neuroscience, Depts. Psychiatry, Neurology, Physics.
  • 07/18-current, Professor, State University of New York—Stony Brook NY (Tenured); Core faculty: Department of Biomedical Engineering; Secondary affiliations: Laufer Center for Physical and Quantitative Biology, Program in Neuroscience, Depts. Psychiatry, Neurology, Physics.


  • 2010 Presidential Early Career Award in Science and Engineering
  • 2009 National Science Foundation Career Award
  • 2000 Brain and Behavior Research Foundation (NARSAD) Young Investigator Award
  • 1998 Niles Whiting Dissertation Fellowship Award


  • Society for Neuroscience
  • Organization for Human Brain Mapping
  • New England Complex Systems Institute


Publications  via  Google Scholar

Selected Publications:

  • Mujica-Parodi LR, Amgalan A, Sultan SF, Antal B, Sun X, Skiena S, Lithen A, Adra N, Ratai EM, Weistuch C, Govindarajan ST, Strey HH, Dill KA, Stufflebeam SM, Veech RL, Clarke K.  Diet modulates brain network stability, a biomarker for brain aging, in young adults.   Proc Natl Acad Sci U S A.   2020 Mar 3. pii: 201913042. doi: 10.1073/pnas.1913042117.  PMID:   32127481
  • Mujica-Parodi LR, Cha J, Gao J. From Anxious to Reckless:  a control systems approach unifies prefrontal-limbic regulation across the spectrum of threat detection.  Frontiers in Systems Neuroscience. 2017 April 7; 11:18.
  • DeDora DJ, Nedic S, Katti P, Arnab S, Wald LL, Takahashi A, van Dijk KRA, Strey HH, Mujica-Parodi LR. Signal Fluctuation Sensitivity:  an improved metric for optimizing detection of resting-state fMRI networks. Frontiers in Neuroscience.  2016 04 May; 10:180.
  • Nedic S, Stufflebeam S, Rondinoni C, Velasco TR, dos Santos AC, Leite JP, Gargaro AC, Mujica-Parodi LR, Ide JS. Using network dynamic fMRI for detection of epileptogenic foci.  BMC Neurology.  2015 Dec 21; 15:262.


Selected Awarded Grants (as Principal Investigator or Co-Principal Investigator):

  • 2017-2020. W.M. Keck Foundation.  Protecting the Aging Brain:  Self-Organizing Networks and Multi-Scale Dynamics Under Energy Constraints .  PI.
  • 2017-2020. NIDA/NIH SBIR I-II (1 R44 DA043277-01).  fMRI Dynamic Phantom for Improved Detection of Resting-State Networks.  Dual-PI, with ALA Scientific Instruments Inc.
  • 2016-2018. NSF STTR (1622525).  fMRI Dynamic Phantom for Improved Detection of Resting-State Networks. Co-PI, with ALA Scientific Instruments Inc.
  • 2016-2017. NHLBI/NIH REACH (5U01HL12752202; Clinton Rubin, PI).  fMRI Dynamic Phantom for Improved Detection of Resting-State Networks.  PI.
  • 2015-2017. NSF BRAIN Initiative (ECCS1533257).  Individual Variability in Human Brain Connectivity, Modeled Using Multi-Scale Dynamics Under Energy Constraints . Dual-PI, with Hava Siegelmann.
  • 2015-2017. National Academies of Science & Engineering (NAFKISB8).  Multi-Scale Modeling:  Metabolic Constraints on Self-Organizing Brain Networks.  PI.
  • 2014-2017. NIDA/NIH (3R2DA03846702S1).  Using Control Systems to Predict Individualized Dynamics of Nicotine Cravings.  PI.
  • 2013-2016. NSF (CBET1264440).  Using Network Dynamic fMRI for Presurgical Localization of Epileptogenic Foci.  PI.
  • 2010-2016. NSF (CBET0954643).  PECASE:  Using Control Systems to Quantify Limbic Dysregulation for Neurobiologically-Based Diagnoses of Psychiatric Disabilities.  PI.
  • 2011-2015. ARL (Z847709/W911NF1110246).  The Neurobiological Basis for Individual Differences in Pattern-Detection within Low Signal/Noise Environments.  PI.
  • 2012-2015. ONR (N000141210393).  Computational Modeling of Oxytocin in the Regulation of Trust.  PI.
  • 2012-2015. CIMIT (GlucoReadPatch).  GlucoREAD Patch:  a Novel Non-Invasive Continuous Glucose Sensor Using Near-Infrared Spectroscopy and an Optical Probe.  PI.
  • 2011-2013. NSF (CBET1141995).  Using Network Dynamic fMRI for Presurgical Localization of Epileptogenic Foci.  PI.
  • 2009-2010. DARPA (ARO: W911NF0910462).  Ambiguity-Priming Facilities Pattern Detection and Resistance to Set-Shifting.  PI.
  • 2007-2008. ONR (N000140710871).  Using Optical Topography to Optimize Functional MRI for Neurobiology-Based Complex Systems Analysis.  PI.
  • 2005-2009. ONR (N0024406P1105, N6600106MP00295).  Genetic Polymorphisms, the Stress Response, and Their Interaction with the Immune System.  Co-PI, with Wayne Ensign.
  • 2005-2009. DARPA (W81XWH0510341, W911QY06C0106).  Identification and Isolation of Human Alarm Pheromones:  Olfactory Cues to Perception of Conspecific Stress.  PI.
  • 2005-2008. ONR.  Operational Stress in Special Forces During SERE.  Co-PI (with Marcus Taylor).
  • 2000-2004. NARSAD.  Cognitive Processing and Stress in Schizophrenia.  PI.