PRECISION NEUROTHERAPEUTICS LAB
Novel methods, mechanistic insight, and personalized treatments to improve mental health
PERSONALIZING BRAIN STIMULATION
Our goal is to understand the fundamental principles of human brain plasticity and build trans-diagnostic real-time monitoring platforms for personalized neurotherapeutics.
We use an array of neuroscience methods to better understand the basic principles of how to create change in brain circuits. We use this knowledge to develop more effective treatment strategies for depression and other psychiatric disorders.
MISSION
Mental health is central to our well being, our relationships, and to society. Unfortunately, mental healthcare is often applied in a one-size-fits-all manner, cycling through multiple treatments without reference to one’s biology as a guide, leading to reduced efficacy.
To change this, through scientific and ethical rigor we seek to better understand the fundamental principles and develop new tools to quantify 1) how brain circuits interact, 2) how treatments change these circuits, and 3) how these changes map onto clinical symptoms. A deep knowledge of the relationship between brain circuits and symptoms will reduce the stigma around mental health and translate to targeted, personalized, and more effective treatments.
The goal of our laboratory is to develop an environment conducive to team-based learning in order to train the next generation of clinically-informed circuit neuroscientists. We will be recognized for questioning the status quo with rigorous scientific experiments and will make important scientific contributions in understanding how brain stimulation alters neural circuits and behavior.
Relating non-invasive resting fMRI maps to intracranial EEG (Keller et al., Proceedings of the National Academy of Sciences, 2011)
The laminar contribution to the cortical evoked potential (Keller et al., PhilTransB, 2014)
Developing a closed-loop TMS platform (NIMH R01 Central Aim)
Modeling TMS-EEG changes during rTMS (Unpublished)
Characterizing action potentials around epileptic discharges (Keller et al., Brain, 2010)
Modeling the spiking contribution to LFPs in the dorsal striatum (Keller et al., PLoS One, 2016)
Developing a processing pipeline of cortical evoked potentials (Keller et al., Journal of Neuroscience, 2014)
The temporal dynamics during intracranial repetitive stimulation (Huang, et al., Journal of Neuroscience, 2019)
Quantifying evoked potential changes after repetitive stimulation (Huang, Keller, et al., Journal of Neuroscience, 2018)
Characterizing high gamma oscillations in the DMN (Unpublished)
Contribution of neuronal spiking to MUA in the mouse striatum (Keller et al., PLoS One, 2016)
(Keller et al., Journal of Neuroscience, 2013)
Modeling neuronal firing pattern contributions to multiunit activity (Keller et al., PLoS One, 2016)
The optode: human laminar electrophysiology and hemodynamics (Keller et al., Journal of Neuroscience Methods, 2009)
The optode: human laminar electrophysiology and hemodynamics (Keller et al, Journal of Neuroscience Methods, 2009)
Relating non-invasive resting fMRI maps to intracranial EEG (Keller et al., Proceedings of the National Academy of Sciences, 2011)
Monte carlo simulations of light scatting in the human neocortex (Keller et al., Journal of Neuroscience Methods, 2009)
Detecting fMRI relationships with high gamma oscillations (Keller et al., Journal of Neuroscience, 2013)
JOIN US
Please reach out if you would like to explore opportunities to join us! We are currently hiring:
Postdoctoral positions
Research coordinators
Medical students, residents, fellows, and undergraduates
More information can be found on our opportunities page.