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Wolfson Brain Imaging Centre

Department of Clinical Neurosciences

Studying at Cambridge


Dr. Srivas Chennu

Research home page of Dr. Srivas Chennu, Department of Clinical Neurosciences, University of Cambridge

My academic website is hosted at the University of Kent

ResearchPublications | MediaCollaborations | Miscellaneous

face Snail mail Herchel Smith Building
Forvie Site, Robinson Way
Cambridge CB2 0SZ
United Kingdom
Phone +44 1223 760687


As a senior research associate in the Cambridge Research into Impaired Consciousness (CRIC) group, I develop computational and empirical tools that use EEG (Electroencephalography) for characterising the neural correlates of cognition in altered states of consciousness, including sleep, anaesthesia, and the vegetative and minimally conscious states. I am funded by the James S. McDonnell Foundation and the Medical Research Council. I also work on developing BCIs (Brain Computer Interfaces) for patients with these disorders of consciousness. I am a College Research Associate at Homerton College, and a visiting scientist at the MRC Cognition and Brain Sciences Unit in Cambridge and the University of Kent at Canterbury.


My publications can also be found at my Google Scholar profile.


  • Gibson, R., Chennu, S., Fernández-Espejo, D., Naci, L., Owen, A. & Cruse, D. 2016. Somatosensory attention identifies both overt and covert awareness in disorders of consciousness. Annals of Neurology, In press.
  • Panda, R., Bharath, R. D., Upadhyay, N., Mangalore, S., Chennu, S. & Rao, S. L. 2016. Temporal dynamics of the default mode network characterise meditation-induced alterations in consciousness. Frontiers in Human Neuroscience, In press. PDF

  • Chennu, S., Noreika, V., Gueorguiev, D., Shtyrov, Y., Bekinschtein, T. & Henson, R. 2016. Silent Expectations: Dynamic Causal Modelling of Cortical Prediction and Attention to Sounds that Weren't. The Journal of Neuroscience, In press. PDF

  • Chennu, S., Stamatakis, E. A. & Menon, D. K. 2016. The see-saw brain: recovering consciousness after brain injury. The Lancet Neurology, 15(8), 781-782.
  • Chennu, S., O'Connor, S., Adapa, R., Menon, D. K. & Bekinschtein, T. A. 2015. Brain connectivity dissociates responsiveness from drug exposure during propofol-induced transitions of consciousness. PLOS Computational Biology, 12(1), e1004669. PDF

    The research in this article showed that resting EEG brain connectivity can predict and track the transition to unconsciousness during propofol sedation, and also dissociate the loss of behavioural responsiveness from the concentration of the drug in blood.

    Chennu PLOSB 2016 
    Brain networks during the transition to unconsciousness during propofol sedation (drug infusion timeline shown in red). Participants with robust networks at baseline (left panel) remained resistant to the sedative, while others showed characteristically different, weaker networks during unconsciousness (middle). All participants regained similar networks when the sedative wore off (right).

  • Kuttikat, A., Noreika, V., Shenker, N., Chennu, S., Bekinschtein, T. & Brown, C. A. 2016. Neurocognitive and Neuroplastic Mechanisms of Novel Clinical Signs in CRPS. Frontiers in Human Neuroscience, 10.








* Joint first author

Media Coverage

January 2016: Our PLOS Computational Biology article about brain connectivity during transition to unconsciousness during propofol sedation was covered by science media, including the BBC and the Daily Mail:

The Conversation

October 2015: My commentary on the remarkable recovery of Clodagh Dunlop from a locked-in state after a stroke.

October 2014: Our PLOS Computational Biology article characterising resting state brain networks in disorders of consciousness received extensive public and media interest, including from:

Wired Magazine BBC News New Scientist The Independent
FAZ Telegraph
Frankfurter Allgemeine Zeitung The Times of India The Telegraph of India Scientific American
BBC Radio 4 Today 17/10/2014 ABC AM 17/10/2014 BBC World Service 29/10/2014

May 2014: My commentary on recent advances in the neuroimaging of consciousness, featured on Inside Science on BBC Radio 4.

bbc4 insidescience

November 2013: In the research leading up to our Neuroimage: Clinical article, we used EEG to show that a vegetative patient was able to flexibly direct selective attention to words. This was covered by many news stories, including:

BBC Newswashingtonpostderspiegeltheverge
BBC News The Washington Post Der Spiegel The Verge

June 2012: My Radio Wiltshire commentary on the remarkable case of Mr. Tony Nicklinson and his right-to-die appeal.



  • Scott and the Machine - blog post about my research visit to the University of Western Ontario in summer 2012, supported by the UK Foreign Office Science and Innovation Network.

  • mffimport - An EEGLAB plugin I wrote to import EGI's Metafile Format (MFF) EEG data files into EEGLAB.

  • An abstract of my doctoral research, and a PDF of PhD thesis on the 'temporal spotlight of attention'

  • Demonstrations of the binding problem and some quirky cognitive phenomena

  • My assistant editor homepage on Scholarpedia, the peer-reviewed, open-access encyclopedia