Dr. Marcus Kaiser
Newcastle University, Newcastle upon Tyne, UK
I am leading a team using computer simulations and brain stimulation devices to improve cognitive performance in patients suffering from severe mental illness (schizophrenia, depression, bipolar disorder). The long-term goal is to replace pharmaceutical drugs for treating mental health conditions with non-invasive brain stimulation interventions.
I am author of 'Changing Connectomes'
I am Professor of Neuroinformatics at the University of Nottingham. I am Chair of Neuroinformatics UK, Chair of the Neuroinformatics SIG of the British Neuroscience Association (BNA), and Chair of the NHS Technology SIG in Computational Neurology. In 2016, I was elected to become Fellow of the Royal Society of Biology (FRSB). I am editorial board member of Network Neuroscience (MIT Press), Royal Society Open Science, Applied Network Science, Frontiers in Neuroinformatics, and ACM Computing Reviews.
Current projects include simulating the effect of optogenetic stimulation for treating epilepsy patients (http://www.cando.ac.uk), using focused ultrasound for non-invasive brain stimulation, and predicting the effect of invasive electrical stimulation.
We are working on the simulation of the dynamics and development of neural networks using Neuroinformatics (analysis and modelling of MRI/ECoG/EEG/MEA data), machine learning/AI, and network analysis (structural and functional connectivity). We aim to understand the link between structure and dynamics and to find structural correlates of robustness and functional compensation. Application areas are to inform diagnosis and treatment of patients with neurodevelopmental disorders through the use of computational models.
Recent examples of our work, published in Brain, PNAS, and Cerebral Cortex, concern the prediction of surgery success in epilepsy patients, general rules of brain folding (gyrification), and human connectome changes during network development.
More information can be found at https://www.dynamic-connectome.org/
Or you can follow our Twitter account at @ConnectomeLab
