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Marcus Kaiser

Professor of Neuroinformatics, Faculty of Medicine & Health Sciences

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Biography

I obtained my PhD in 2005 and started as a faculty member at Newcastle University before joining the University of Nottingham in 2021. From 2010 to 2012, I was visiting professor at Seoul National University. I am currently 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. I am also a Visiting Professor at Shanghai Jiao Tong University (Rui Jin Hospital).

Research Summary

Working in the field of brain connectivity, or connectomics, Dr Kaiser studies how brain networks develop, how network structure is linked to network function, and how interventions can alter these… read more

Recent Publications

  • BREITWIESER, LUKAS, HESAM, AHMAD, DE MONTIGNY, JEAN, VAVOURAKIS, VASILEIOS, IOSIF, ALEXANDROS, JENNINGS, JACK, KAISER, MARCUS, MANCA, MARCO, DI MEGLIO, ALBERTO, AL-ARS, ZAID and OTHERS, 2022. BioDynaMo: a modular platform for high-performance agent-based simulation Bioinformatics. 38(2), 453-460
  • MEHRARAM, RAMTIN, PERAZA, LUIS R, MURPHY, NICHOLAS RE, CROMARTY, RUTH A, GRAZIADIO, SARA, O’BRIEN, JOHN T, KILLEN, ALISON, COLLOBY, SEAN J, FIRBANK, MICHAEL, SU, LI and OTHERS, 2022. Functional and structural brain network correlates of visual hallucinations in Lewy body dementia Brain. 145(6), 2190-2205
  • HUO, SIYU, ZOU, YONG, KAISER, MARCUS and LIU, ZONGHUA, 2022. Time-limited self-sustaining rhythms and state transitions in brain networks Physical Review Research. 4(2), 023076
  • LAI, YIJIE, HE, NAYING, WEI, HONGJIANG, DENG, LIFU, ZHOU, HAIYAN, LI, JUN, KAISER, MARCUS, ZHANG, CHENCHENG, LI, DIANYOU and SUN, BOMIN, 2022. Value of functional connectivity in outcome prediction for pallidal stimulation in Parkinson disease Journal of Neurosurgery. 1(aop), 1-11

Current Research

Working in the field of brain connectivity, or connectomics, Dr Kaiser studies how brain networks develop, how network structure is linked to network function, and how interventions can alter these networks. Using computational and experimental approaches, he aims to find optimal personalised treatments for brain disorders. In particular, he is interested in treatments using non-invasive focused ultrasound or electrical stimulation as well as invasive electrical stimulation. He has applied methods ranging from network analysis to computer simulations to better understand brain network disorders ranging from depression and schizophrenia to epilepsy and dementia.

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

School of Medicine

University of Nottingham
Medical School
Nottingham, NG7 2UH

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