Neural Engineering and Translation Labs aim to develop an improved understanding of neural circuits deficits in child and adult psychiatric disorders. We apply neural-engineering methods in both animal models and human research to target and repair identified circuit deficits.

Team

Directors
 
 
Dr. Jyoti Mishra    
Assistant Professor, Department of Psychiatry

Focus: Neurotechnology studies in humans to advance diagnostics and therapeutics for mental health disorders.

 
Dr. Dhakshin Ramanathan    
Assistant Professor, Department of Psychiatry

Focus: Neural engineering studies in animal models of neuropsychiatric disorders.

Technology Leads
 

Neural Engineering

Alejandro Ojeda    

Mobile Applications

Alankar Misra    
 
Postdoctoral Fellows
 

Human Neuro-Cognition

Sarita Silveira    

Animal Neuro-Cognition

Miranda Francoeur    
 
 

Animal Neuro-Cognition

Leila Fakhraei    

Computational Psychiatry

Pragathi Balasubramani    
 
Research Associates
 

Human Neuro-Cognition

James Ades    

Human Neuro-Cognition

Gillian Grennan    
 
 

Human Neuro-Cognition

Mariam Zafar-Khan    

Animal Neuro-Cognition

Nathalie Buscher    
 
Undergraduate Students
 

Animal Neuro-Cognition

Tianzhi Tang    

Personalized Mental Health

Swapnil Patil    
 
 

Human Neuro-Cognition

Giuliana Sidhu    

Animal Neuro-Cognition

Sidharth Hulyalkar    
 
 

Animal Neuro-Cognition

Christopher Claros    

Human Neuro-Cognition

Ashley Ugarteche    
 
 

Human Neuro-Cognition

Jocelyn Aguilar    

Human Neuro-Cognition

Shibangi Pal    
 
 

Personalized Mental Health

Rutvik Shah    

BCI Analytics

Juan Diaz Delgado    
 
 

Research

NEATLabs research projects have three major goals:

  1. To better understand typical development of neural circuits underlying cognitive control.

    Our human studies integrate mobile cognitive assessment tools, electroencephalography (EEG) and functional MRI recordings. We are currently developing integrated software-hardware systems for large-scale and affordable mobile monitoring of neural network function in clinic and community settings.

    Our animal studies are implementing a complementary battery of human cognitive tasks in rodents coupled with invasive monitoring of single units and local-field potentials (LFP). These studies aim to understand micro-circuit contributions to the oscillatory neural dynamics underlying cognitive control identified in humans.

  2. To better understand how neural circuits underlying cognitive control are impacted in neuropsychiatric disorders.

    Our human studies currently focus on how adverse childhood experiences and neurodevelopmental disorders such as ADHD (attention deficit hyperactivity disorder) impact cognitive control network function using a combination of EEG and fMRI methods.

    Our animal studies are currently examining rodent models of schizophrenia and traumatic-brain injury to understand how either genetic perturbations in the former, or environmental perturbations in the latter, result in cognitive impairments.

  3. To develop and advance closed-loop technologies for ameliorating neural circuit dysfunctions.

    We are developing and implementing targeted circuit manipulation strategies that include cognitive remediation and neural self-regulation interventions, integrated with neuromodulation and brain-computer-interfaces.


Technologies

BrainE - Our Brain Engagement platform to assess & train neural and cognitive functions across the human lifespan. Contact J Mishra for research access. Read our privacy policy.
 
BrainER - Our Brain Engagement platform for Rodents to assess & train neural and cognitive functions in animals. Contact D Ramanathan for research access.
 
SimBSI - Our Simulink Brain Signal Interface for executing closed loop neuroscience experiments. Access here.
 
DSI - Our Distributed Source Imaging Toolbox for electromagnetic signals. Access here.
 
 

Publications

2018
2017
2016

2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2003 | 2002 | 2001 | 2000

  • Kothekar V, Sahi S, Mishra J. Enzyme selectivity of new cyclooxygenase-2/5 lipoxygenase inhibitors using molecular modeling approach. Indian Journal of Biochemistry & Biophysics 37: 86-96. PMID: 10983419. 2000.
 

News

Checkout our NEATLabs Weekly


2019

2018 | 2017

 

Funding

Burroughs Wellcome Funds
 
NARSAD
 
UCSD School of Medicine
 
Veterans Affairs
 
Tang Prize
 
UCSD MH Tech Center
 
Stronger Brains
 
CFAR
 
Burroughs Wellcome Funds
 
NARSAD
 
UCSD School of Medicine
 
Veterans Affairs
 
Tang Prize
 
UCSD MH Tech Center
 
Stronger Brains
 
CFAR
 
 

Positions

Postdoctoral Fellows

We are always looking for talented postdoctoral fellows interested in our integrated research foci. Please contact NEATLabs directors with your cover letter, CV and academic transcript.