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Centre for Neuroscience in Education


Dr. Kanad Mandke is a Research Associate with the Centre for Neuroscience in Education working on the Botnar Project since January 2019. He is also a Postdoctoral Research Associate at Magdalene College.



Kanad completed his PhD in Psychology at the University of Nottingham. His thesis was titled "Magnetoencephalographic dynamics and adaptive brain networks across multiple timescales”. This work was supported by the prestigious Vice Chancellor’s Scholarship for Research Excellence. Kanad earned MSc in Brain Imaging from the University of Nottingham, where he was supported by the Developing Solutions scholarship. He has a Bachelor's in Audiology and Speech Language Pathology.

Kanad is a Postdoctoral Research Associate at Magdalene College, University of Cambridge.

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I am a Research Associate at the Centre for Neuroscience in Education, Department of Psychology. My research interests include the analysis of brain networks (multilayer brain networks, graph theory) and understanding the neurophysiological basis of speech processing in children. To this end, I primarily use a brain imaging technique known as magnetoencephalography (MEG). MEG measures tiny magnetic fields generated by the brain at the surface of scalp. In our typical experiments, participants listen to stories or rhythmic sounds while we record changes in their brain waves. Our goal is to understand these mechanisms better and develop potential remediation strategies for children with dyslexia. My chief interest is in understanding how rhythms in human speech map on to neural oscillations and how this mechanism develops in children. 


Key publications: 

Mandke, K. & Rocha, S. “Neural and behavioural rhythmic tracking during language acquisition: The story so far,” in Rhythms of Speech and Language, ed. Meyer, L. & Strauss, A. In press. (Cambridge: Cambridge University Press). 

Mandke, K., Flanagan, S., Macfarlane, A., Feltham, G., Gabrielczyk, F., Wilson, A. M., Gross, J., & Goswami, U. (2023). Neural responses to natural and enhanced speech edges in children with and without dyslexia. Front. Hum. Neurosci17, 1200950.

Keshavarzi, M., Mandke, K., Macfarlane, A., Parvez, L., Gabrielczyk, F., Wilson, A., Flanagan, S., Goswami, U. (2022). Decoding of speech information using EEG in children with dyslexia: Less accurate low-frequency representations of speech, not "Noisy" representations. Brain and Language, 235, 105198, ISSN 0093-934X.

Tewarie, P., Prasse, B., Meier, J., Mandke, K., Warrington, S., Stam, C. J., Brookes, M. J., Van Mieghem, P., Sotiropoulos, S. N., & Hillebrand, A. (2022). Predicting time-resolved electrophysiological brain networks from structural eigenmodes. Human Brain Mapping, 1–17.

Keshavarzi, M., Mandke, K., Macfarlane, A., Parvez, L., Gabrielczyk, F., Wilson, A., Goswami, U. (2022). Atypical delta-band phase consistency and atypical preferred phase in children with dyslexia during neural entrainment to rhythmic audio-visual speech. NeuroImage: Clinical, 35, 103054,

Mandke, K., Flanagan, S., Macfarlane, A., Gabrielczyk, F., Wilson, A., Gross, J., & Goswami, U. (2022). Neural sampling of the speech signal at different timescales by children with dyslexia. NeuroImage253(January), 119077. 

Flanagan, S., Moore, B. C. J., Wilson, A. M., Gabrielczyk, F. C., Macfarlane, A., Mandke, K., Goswami, U. (2021). Development of binaural temporal fine structure sensitivity in children. The Acoustical Society of America, 150, 4.

Gibbon, S., Attaheri, A., Ní Choisdealbha, A., Rocha, S., Brusini, P., Mead, N., Boutris, P., Olawole-Scott, H., Ahmed, H., Flanagan, S., Mandke, K., Keshavarzi, M., Goswami, U. (2021). Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG. Brain and Language220, 104968.

Mandke, K. (2020) Magnetoencephalographic dynamics and adaptive brain networks across multiple timescales.  

Mandke, K. (2019, October 10). Publish or Perish: How Is This Still A Thing?. Behavioural & Social Sciences at Nature Research. 

Mandke, K., Meier, J., Brookes, M. J., O’Dea, R. D., van Mieghem, P., Stam, C. J., Hillebrand, A., & Tewarie, P. (2018). Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations. NeuroImage, 166, 371-384.


Other publications: 

Mandke, K., Brookes, M. J., Hillebrand, A., Meier. J., O'Dea, R., Van Mieghem, P. F., Stam, C. J., & Tewarie, P. (2017, May 9-10). Comparing multilayer brain networks between groups. MEG-Nord, Aarhus, Denmark.

Mandke, K., O'Neill, G., Tewarie, P., Adjamian, P., & Schürmann, M. (2016, March 21-23). MEG signatures of auditory change detection. MEG-UK, York, UK.

Mandke, K., O'Neill, G., Adjamian, P., & Schürmann, M. (2016, September 12-14). Pre-frontal oscillatory responses in auditory oddball task. British Association for Cognitive Neuroscience, Budapest, Hungary.

Mandke, K., Vanaja, C. S., Sruthi, S. G., & Patil, S. (2013, February 1-3). Ear asymmetries in right & left handers on dichotic digits test. Indian Speech and Hearing Association, Chennai, India. 

Mandke, K., & Vanaja, C. S. (2012, January 19-21). Effects of familiarity and unfamiliarity on informational masking. Indian Speech and Hearing Association, Hyderabad, India.

Teaching and Supervisions

Research supervision: 

At the University of Cambridge Kanad has supervised the projects of undergraduate students, in addition to being a graduate advisor for PhD students at CNE. These projects include:

  • Lloyd Morgan (BSc) - "Coughs, Sneezes, Laughter, and Developmental Dyslexia"
  • Lyla Parvez (PhD) - "Atypical neural processing of speech stimuli in children with Developmental Language Disorder"

Other Professional Activities


Indian Speech and Hearing Association
Rehabilitation Council of India 
British Association of Cognitive Neuroscience 
Kanad co-chairs departmental Research Staff committee. 

Postdoctoral Researcher

Contact Details

Available for consultancy