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Kanad Mandke

Dr Kanad Mandke

Dr Kanad Mandkeis a Magdalene College College Research Associate.

Before joining the Centre for Neuroscience in Education (January, 2019), Department of Psychology, I pursued a MSc in Brain Imaging (2014) and a PhD in Psychology at the University of Nottingham (2014-2018), where I investigated auditory evoked potentials and training related plasticity using magnetoencephalography (MEG). During my PhD, I also worked on multilayer brain networks. My master’s degree was supported by the Developing Solutions scholarship and the doctoral training was supported by the prestigious Vice Chancellor's Scholarship for Research Excellence awarded by the University of Nottingham.

Research Interests

My research is at the intersection of human electrophysiology and analysis of complex brain networks. I use different brain imaging methods such as magnetoencephalography (MEG), electroencephalography (EEG), and magnetic resonance imaging (MRI) to understand childhood language development. In particular, I am interested in understanding how children with dyslexia process speech and language. Using various basic experiments my colleagues at Centre for Neuroscience in Education and I are interested in developing behavioural remediation strategies for children with dyslexia with the ultimate aim of improving their educational outcomes.

Qualifications

Bachelor of Audiology and Speech Language Pathology
School of Audiology and Speech Language Pathology
BVDU, Pune, India

MSc Brain Imaging
School of Psychology
University of Nottingham

PhD Psychology
School of Psychology
University of Nottingham

Selected Publications

Mandke, K. (2019). Publish or Perish: How Is This Still A Thing? Nature Human Behaviour (opinion post) https://go.nature.com/34jo87l 

Mandke, K., Meier, J., Brookes, M. J., O’Dea, R. D., Van Mieghem, P., Stam, C. J., ... Tewarie, P. (2018). Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations. NeuroImage, 166, 371–384. https://doi.org/10.1016/j.neuroimage.2017.11.016