The main focus of my research is early diagnosis of Alzheimer's disease using computational modeling of combined TMS-EEG. I compare key measures of cortical excitability, connectivity, and plasticity in health and disease in order to discover early bio-markers for cognitive decline in Alzheimer’s disease patients. I use a variety of statistical and computational methods including biophysical modeling and graph theory.
I am a research officer at the lab of Prof. Mike Ridding. I quantitatively analyse non-invasive brain stimulation and electroencephalogram data in human subjects. My current research projects includes:
- The association of resting state functional connectivity with plasticity response to non-invasive brain stimulation.
- Characterising changes in cortical connectivity following application of non-invasive brain stimulation.
|Columbia University||United States||Master's degree|
|Sharif University of Technology||Iran||Bachelor's degree|
|2017||Hordacre,B, Moezzi,B, Goldsworthy,MR, Rogasch,NC, Graetz,LJ, Ridding,MC, 2017, Resting state functional connectivity measures correlate with the response to anodal transcranial direct current stimulation, European Journal of Neuroscience, 1-9 10.1111/ejn.13508|
|2016||Moezzi,B, Iannella,N, McDonnell,MD, 2016, Ion channel noise can explain firing correlation in auditory nerves, Journal of Computational Neuroscience, 41, 2, 193-206 10.1007/s10827-016-0613-9|
|2016||Hordacre,B, Goldsworthy,MR, Vallence,AM, Darvishi,S, Moezzi,B, Hamada,M, Rothwell,JC, Ridding,MC, 2016, Variability in neural excitability and plasticity induction in the human cortex: A brain stimulation study, Brain Stimulation, - 10.1016/j.brs.2016.12.001|
|2014||Moezzi,B, Iannella,N, McDonnell,MD, 2014, Modeling the influence of short term depression in vesicle release and stochastic calcium channel gating on auditory nerve spontaneous firing statistics, Frontiers in Computational Neuroscience, 8, Dec, 163-1-163-12 10.3389/fncom.2014.00163|