Faculty of Science

Professor Marcus Kaiser

Professor of Neuroinformatics, School of Medicine

Marcus.kaiser@nottingham.ac.uk

studied biology and computer science. After my PhD in neuroscience obtained from Jacobs University Bremen, I moved to the UK as faculty member at Newcastle University and now Nottingham. I am Professor of Neuroinformatics at the University of Nottingham, based at the Precision Imaging Group within the School of Medicine and joint director of the Centre for Translational Neuroscience at the Institute of Mental Health.

 I am interested in treatments using non-invasive focused ultrasound or electrical stimulation as well as invasive electrical stimulation. My research aims to improve cognitive performance for mental health conditions such as depression and schizophrenia.

Working in the field of brain connectivity, or connectomics, I study how brain networks develop, how network structure is linked to network function, and how interventions can alter these networks. Using computational and experimental approaches, I aim to find optimal personalised treatments for brain and mental health conditions.

My book 'Changing Connectomes' published by MIT Press summarizes the field of connectomics and how brain networks change in health and disease.

I am also Chair of Neuroinformatics UK, Chair of the Neuroinformatics Special Interest Group of the British Neuroscience Association, and Chair of the NHS CHAIN Technology Sub-group on Computational Neurology.

Kaiser 400x400
 

N3Centre Research Interests
  • Developing novel forms of neurotechnology
  • Clinical translation/application of neurotechnology
 

 

Key Publications

  • Atkinson-Clement C, Kaiser M. Optimizing Transcranial Focused Ultrasound Stimulation: An Open-source Tool for Precise TargetingNeuromodulation. 2025;28(1):185-187. doi:10.1016/j.neurom.2024.06.496

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  • Marilyn Gatica, Cyril Atkinson-Clement, Pedro A. M. Mediano, Mohammad Alkhawashki, James Ross, Jérôme Sallet, Marcus Kaiser; Transcranial ultrasound stimulation effect in the redundant and synergistic networks consistent across macaquesNetwork Neuroscience 2024; 8 (4): 1032–1050. doi: https://doi.org/10.1162/netn_a_00388

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Faculty of Science

The University of Nottingham
University Park
Nottingham, NG7 2RD