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Lilianne R. Mujica-Parodi

T: 631.632.1008
F: 631.632.3222
E:lilianne.strey@stonybrook.edu


Office:
Bioengineering Building, Room 119
Stony Brook, NY
11794-5281



Lilianne R. Mujica-Parodi

Research Focus

Dr. Mujica-Parodi is Director of the Laboratory for Computational Neurodiagnostics (LCNeuro). LCNeuro obtains neural signals non-invasively through imaging by functional MRI, near-infrared spectroscopy, and electroencephalography. The complexity or chaotic features of these neural time-series are then quantified using a variety of computational techniques adapted from physics, such as power spectrum scale invariance, detrended fluctuation analysis, Hurst and Lyaponov exponents, and approximate entropy. Deviations from the critical degree of chaos are used diagnostically in conjunction with classification algorithms,to identify risk for psychiatric (schizophrenia, anxiety, depression) and neurological (epilepsy) illness, even before a system has degenerated sufficiently to show onset of symptoms. Application of graph theory and dynamic causal modeling permits identification of the circuit-wide basis for this dysregulation, which in turn is used for developing treatment targeted to these specific circuits.

LCNeuro research has direct clinical applications, with a focus on development of neurobiologically-based diagnostic instruments. These are designed to:

  • detect exceptional stress resilience for screening of recruits to high-risk professions, such as U.S. Special Forces,
  • identify pathological stress vulnerability in young children at risk for clinical anxiety and depression,
  • map neural signatures for schizophrenia that may indicate the drug to which a patient is likely to respond most effectively, and
  • markedly improve neurosurgical outcomes for patients with severe epilepsy, by more accurately identifying the focal points in their brains that trigger their debilitating seizures.

LCNeuro instrumentation efforts also include complementary development of:

  • software and algorithm development for near-infrared spectroscopy, an emerging technology with portability, convenience, and low operating costs that make it ideally suited for diagnostics within clinical settings (emergency rooms, doctors’ offices, rural and military facilities) that cannot support fMRI,
  • dynamic phantoms for cross-scanner calibration of the blood oxygenated level dependent signal in fMRI, and
  • chemosensory stimuli capable of activating the human limbic system without conscious perception (alarm pheromones, oxytocin).


Education

  • Fellow 1998-2001 (Clinical Neuroscience, Neuroimaging, Psychiatry); Columbia University College of Physicians and Surgeons (New York, NY)
  • Ph.D. 1993-1998 Columbia University (New York, NY)
  • B.A. 1988-1992 Georgetown University (Washington, DC)

Professional Experience

  • Associate Professor 2012-present Department of Biomedical Engineering, Stony Brook University
  • Assistant Professor 2003-2012 Department of Biomedical Engineering, Stony Brook University
  • Assistant Professor of Clinical Neuroscience 2001-2003 Laboratory of Clinical Neurobiology, Department of Psychiatry/New York State Psychiatric Institute, College of Physicians and Surgeons, Columbia University
  • Visiting Scientist 2000-2003 Department of Medical Physics—Center for Advanced Brain Imaging (CABI), Nathan S. Kline Institute for Psychiatric Research
  • Journal Review Editor:   Frontiers in Computational Physiology and Medicine
  • Chair, National Science Foundation International Research and Development Study, "Integrating Computational Neuroscience and Neuroimaging in the 21st Century: Advancing Diagnoses and Treatment of Psychiatric and Neurological Disorders."

Honors

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

Professional Societies Membership

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

Publications

Selected Publications
  • LR Mujica-Parodi, V Yeragani, D Malaspina: Nonlinear complexity and spectral analyses of heart rate variability in medicated and unmedicated patients with schizophrenia. Neuropsychobiology 2005, 51:10-5.
  • D Tolkunov, D Rubin, L Mujica-Parodi: Power spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: adapting methods optimized for characterizing autonomic dysregulation to neural dynamic time series. Neuroimage 2010, 50:72-80.
  • A Radulescu, D Rubin, HH Strey, LR Mujica-Parodi:  Power spectrum scale invariance identifies prefrontal-limbic dysregulation in paranoid schizophrenia.  Hum Brain Mapp 2011 (in press).
  • T Fekete, D Rubin, J Carlson, LR Mujica-Parodi:  A stand-alone method for anatomical localization of NIRS measurements.  Neuroimage 2011, 56:2080-8.
  • T Fekete, D Rubin, JM Carlson, LR Mujica-Parodi:  The NIRS Analysis Package:  noise reduction and statistical inference.  PLoS ONE 2011; 6(9):  e24322.
  • LR Mujica-Parodi, HH Strey, B Frederick, R Savoy, D Cox, Y Botanov, D Tolkunov, D Rubin, J Weber: Chemosensory cues to conspecific emotional stress activate amygdala in humans. PLoS One 2009, 4:e6415.
  • D Rubin, Y Botanov, G Hajcak, LR Mujica-Parodi: Second-hand stress: inhalation of stress sweat enhances neural response to neutral faces. Soc Cogn Affect Neurosci 2011 (in press).

Funding  

Active Grants

  • 2002-2012  Office of Naval Research ($2,924,853); Title:  Computational diagnostic techniques in assessing neural risk for vulnerability towards acute stress; PI:  LR Mujica-Parodi.
  • 2010-2015  National Science Foundation Career Award ($426,301); Title:  Using control systems to quantify limbic dysregulation for neurobiologically-based diagnoses of psychiatric disabilities; PI:  LR Mujica-Parodi.
  • 2011-2015  Army Research Office ($512,594); Title:  The neurobiological basis for individual differences in pattern-detection within low signal/noise environments; PI:  LR Mujica-Parodi.
  • 2011-2013  National Science Foundation ($300,000); Title:  Using network dynamic fMRI for pre-surgical localization of epileptogenic foci; PI:  LR Mujica-Parodi.
  • 2012-2015  Office of Naval Research ($900,000); Title:  Computational modeling of oxytocin in the regulation of trust; PI:  LR Mujica-Parodi.

Past Grants

  • 2005-2008  US Army Medical Research ($1,187,926); Title:  The identification and isolation of human alarm pheromones; PI:  LR Mujica-Parodi.
  • 2007-2008  Defense University Research Instrumentation Award ($443,000); Title:  Optical tomography in support of control systems analyses of limbic regulation; PI:  LR Mujica-Parodi.
  • 2005-2009  Office of Naval Research ($719,051); Title:  Genetic polymorphisms, stress, and immune response; PI:  Wayne Ensign, Co-PI:  LR Mujica-Parodi.
  • 2009  Army Research Laboratory ($50,000); Title:  Mathematical models of set-shifting under ambiguity; PI:  LR Mujica-Parodi.
  • 2005-2008  Office of Naval Research ($225,000); Title:  Operational stress in special forces during SERE; PI:  Marcus Taylor, Co-PI:  LR Mujica-Parodi.
  • 2003-2005  National Institutes of Mental Health ($535,387); Title:  Panic attacks and the endogenous opioid system; PI:  Donald F. Klein, Co-Investigator:  LR Mujica-Parodi.
  • 2000-2003  Brain and Behavior Foundation (formerly NARSAD) ($60,000); Title:  Cognitive processing and stress in schizophrenia; PI:  LR Mujica-Parodi.