Neurological disorders involve aberrant neural network activity. New technologies are needed for establishing at a fine spatial and temporal resolution the nature of the altered network activity – and for restoring activity to or towards a healthy state. Professor Sri Sarma is an electrical engineer and neuroscientist who is at the forefront of this research field. Her research combines learning theory and control systems with neuroscience to develop novel approaches for understanding normal brain function and then developing brain – computer – electrophysiology feedback control systems to improve performance in health and disease. Her research and technology development is advancing personalized treatments for epilepsy, Parkinson’s disease, chronic pain, and depression.

LINKS

Seizure onset zone neural fragility in epilepsy

https://pmc.ncbi.nlm.nih.gov/articles/PMC8547387/pdf/nihms-1743906.pdf

Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation

https://pmc.ncbi.nlm.nih.gov/articles/PMC11811083/pdf/fnetp-04-1491967.pdf]

Steering Toward Normative Wide-Dynamic-Range Neuron Activity in Nerve-Injured Rats With Closed-Loop Peripheral Nerve Stimulation.

https://pmc.ncbi.nlm.nih.gov/articles/PMC10081946/pdf/nihms-1855381.pdf

Internal states during movements

https://pmc.ncbi.nlm.nih.gov/articles/PMC10687170/pdf/41467_2023_Article_43257.pdf

Sensory – motor feedback control (athletic performance)

https://pmc.ncbi.nlm.nih.gov/articles/PMC10998569/pdf/pnas.202319313.pdf

Gambling and decision making

https://pmc.ncbi.nlm.nih.gov/articles/PMC11352602/pdf/brainsci-14-00773.pdf