Dr Danyal Akarca
I'm interested in the intersection of neuroscience with machine learning for modeling brain function and detecting underlying psychiatric and neurological diagnostic groups. I'm also interested in the self-organisation of neural networks and how this relates to neurodevelopmental trajectories.
As a medical doctor, my research background is in clinical neurosurgery relating to surgical methods and in clinical neurology relating to applications of supervised learning algorithms to understand prognosis following serious head injury.
Associated News Items
Hawkins E*, Akarca D*, Zhang M, Brkić D, Woolrich M, Baker K, Astle D. (2019), “Functional network dynamics in a neurodevelopmental disorder of known genetic origin.” Hum Brain Mapp. 1;41(2):530-544
Greener DL*, Akarca D*, Durnford AJ, Ewbank FG, Buckland GR, Hempenstall J. (2020), “Idiopathic intracranial hypertension: shunt failure and the role of obesity.” World Neurosurg. S1878-8750(20)30048-6
Ahmed I, Niaz Z, Ewbank F, Akarca D, Felwick R, Furnari M. (2018), “Sniffing out causes of gastrointestinal disorders: a review of volatile metabolomic biomarkers.” Biomark Med. 12(10):1139-1148
Akarca D, Durnford AJ, Ewbank FG, Hempenstall J, Sadek AR, Gould AER, Bulters DO. (2017), “An Evaluation of Commonly Used External Ventricular Drain Securement Methods in a Porcine Model: Recommendations to Improve Practice.” World Neurosurg. 110:e197-e202