Tajwar Sultana
Phd,
computational neuroscience
I am a brain research enthusiast and a computer engineer graduated from NED University of Engineering and Technology. I recently completed my PhD from the same university in the area of computational neuroscience.
PhD Research
The focus of my PhD research was to estimate the changes in brain effective connectivity in chronic traumatic brain injury (TBI) patients after a treatment with repetitive transcranial magnetic stimulation (rTMS). The toll on emotional health even after years of TBI impelled me to explore its underlying neural mechanisms. Our psychometric analysis results showed that emotional health has improved after rTMS treatment, therefore, we investigated the neural mechanisms for this improvement using spectral dynamic causal modelling (spDCM) and parametric empiricial Bayes (PEB) algorithms. The key findings of the association of effective connectivity of dorsal anterior cingulate cortex with the emotional health improvement in TBI subjects made me curious about the neural mechanisms of basic negative emotions – anger, fear, and sadness – in healthy population. Therefore, I utilized spDCM and PEB for the association analysis of effective connectivity with basic negative emotions of the healthy young adults from Human Connectome Project. Alongside, we also investigated the gender-based effective connectivity differences in basic negative emotions. For more information, please click here.
Education
- PhD, Computer Systems (Area: Computational Neuroscience), NEDUET (Defended: Jan 2024)
- M.E., Computer Systems, NEDUET (2012)
- B.E., Computer and information systems, NEDUET (2007)
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Tajwar Sultana
