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Deniz Vatansever

Deniz Vatansever

PhD Candidate


Office Phone: (0) 1223 217892

Biography:

Extensive neuroimaging research has identified a network of brain regions which increase their activity during “no task” baseline conditions, collectively known as the default mode network. The regions involved in the DMN and their connectivity are hypothesized to drive future planning, predictions of outcome, retrieval of autobiographical memories and integration of external information. Under the supervision of Dr. E. Stamatakis and Prof. D. Menon, the specific aims of my PhD are to decipher the exact functional role of this network in healthy controls and to investigate its disruption/reorganization in patients with traumatic brain injury (TBI) using functional magnetic resonance imaging (MRI). This will allow us to improve biomarkers in detecting the severity of impairment, predict cognitive outcomes and propose potential therapeutic agents in the near future.

Departments and Institutes

Clinical Neurosciences:
PhD Candidate

Research Interests

  • Default Mode Network
  • Resting State and Task-based fMRI
  • Connectomics
  • Traumatic Brain Injury
  • Neuropsychological Assessment

Keywords

  • behaviour
  • cognitive
  • neuroimaging
  • network

Key Publications

Vatansever D, Manktelow AE, Sahakian BJ, Menon DK, Stamatakis EA (2015), “Cognitive Flexibility: A Default Mode and Basal Ganglia Connectivity Perspective” Brain Connectivity

Vatansever D, Menon DK, Manktelow AE, Sahakian BJ, Stamatakis EA (2015), “Default mode dynamics for global functional integration” Journal of Neuroscience

Vatansever D, Menon DK, Manktelow AE, Sahakian BJ, Stamatakis EA (2015), “Default mode network connectivity during task execution.” Neuroimage

Kyriakopoulou V, Vatansever D, Elkommos S, Dawson S, McGuinness A, Allsop J, Molnár Z, Hajnal J, Rutherford M (2013), “Cortical Overgrowth in Fetuses With Isolated Ventriculomegaly.” Cereb Cortex

Vatansever D, Kyriakopoulou V, Allsop JM, Fox M, Chew A, Hajnal JV, Rutherford MA (2013), “Multidimensional analysis of fetal posterior fossa in health and disease.” Cerebellum 12(5):632-44

Wright R, Vatansever D, Kyriakopoulou V, Ledig C, Wolz R, Serag A, Rueckert D, Rutherford MA, Hajnal JV, Aljabar P (2012), “Age dependent fetal MR segmentation using manual and automated approaches” MICCAI pp. 97–104