Translational Neuroscience and Technology Lab

ONGOING WORK

• Investigating brain and gut physiology and its coupling effects on cognition and behavior across cultures/personality and wellness

·      We address the problem of the need to arrive at efficient personalized medication strategy in depression, much sooner than the standard trial and error investigation.

o   We propose that cognitive physiological signals can help predict treatment outcome in depression and guide individualized medication strategy, as early as within 10 days in contrast to classical 4-6 weeks depression requirement.

·      We also work on using the principles of cognitive dynamics for seizure prediction and guide the treatment strategy

• Quantifying gut instincts for understanding medication related cognitive and motor abnormalities

·      We address the need to understand the brain and gut electrophysiology and their relationship with the underlying microbiome through various stages of Parkinson's Disease and Depression

• Characterizing brain and body physiological patterns of mental overload

·      Cognitive overload and distress worsen the progression of dementia. We address the need to extract markers of mental overload and cognitive choking for intervening in mild cognitive impaired patients.

• Using the principles of brain entrainment to design multimodal cues and non-invasive stimulation designs

·      We work on the principles of brain entrainment to suppress tremor through multimodal cues and peripheral nervous stimulation designs

·      We also design multimodal cues and tasks for rehabilitation in stroke

• Investigating the kinship between accept-reject decisions with stopping decisions.

  ·      We investigate the shared and distinct representations of inhibitory control and choice using single unit electrophysiological data collected from macaque Orbitofrontal cortices. We use the principles of computational cognitive neuroscience to understand the parallel distributed computing in the brain.

• Understanding the brain-body coupling along with social cognition using simple multi-agent reinforcement learning models

• Understanding cognitive coupling effects on TMS efficiency using TMS-EEG

You can read about our earlier work here.

PROTOTYPING 

• Cognitive closed loop neurostimulation as a novel treatment for Depression

• Treatment outcome prediction and designing of treatment strategy in Depression

• Epileptic focus localization and seizure prediction

• Characterizing the dynamics of bipolar oscillations for precision medicine

• Developing MulSeMedia devices for Stroke Rehabilitation

• Affordable cognitive and sensorimotor symptom diagnostics in Parkinson’s Disease