Deniz Vatansever University positionPhD student DepartmentsDepartment of Clinical Neurosciences InstitutesHome pagehttp://anaesthetics.medschl.cam.ac.uk/ Research ThemeInterestsExtensive neuroimaging research has identified a set of brain regions with prominent activity during “no task” baseline conditions, collectively known as the default mode network. The DMN is hypothesized to drive a variety of functions including future planning, predictions of outcome, retrieval of autobiographical memories and integration of external information, suggesting its central importance in healthy and adaptive brain activity dynamics. Under the supervision of Dr. E. Stamatakis and Prof. D. Menon, the specific aim of my PhD is to decipher the exact functional role of this network in human cognitive processing, using functional magnetic resonance imaging (MRI). This in turn may allow us to improve biomarkers in detecting the severity of impairment, predict cognitive outcomes and propose potential therapeutic agents in mental disease states. Research Focus
EquipmentMagnetic resonance imaging (MRI) Neuropsychological testing Collaborators
Associated News Items
Key publicationsVatansever D, Menon DK, Stamatakis EA. (2017), “Default mode contributions to automated information processing.” Proceedings of the National Academy of Sciences USA 114(48):12821-12826 Vatansever D, Menon DK, Manktelow AE, Sahakian BJ, Stamatakis EA (2015), “Default mode network connectivity during task execution.” Neuroimage Details Vatansever D, Menon DK, Manktelow AE, Sahakian BJ, Stamatakis EA (2015), “Default mode dynamics for global functional integration” Journal of Neuroscience Publications2018Cope TE, Rittman T, Borchert RJ, Jones PS, Vatansever D, Allinson K, Passamonti L, Vazquez Rodriguez P, Bevan-Jones WR, O'Brien JT, Rowe JB. (2018), “Tau burden and the functional connectome in Alzheimer's disease and progressive supranuclear palsy.” Brain 2017Vatansever D, Bzdok D, Wang HT, Mollo G, Sormaz M, Murphy C, Karapanagiotidis T, Smallwood J, Jefferies E. (2017), “Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour.” Neuroimage 158:1-11 2016Borchert RJ, Rittman T, Passamonti L, Ye Z, Sami S, Jones SP, Nombela C, Rodríguez PV, Vatansever D, Rae CL, Hughes LE, Robbins TW, Rowe JB (2016), “Atomoxetine Enhances Connectivity of Prefrontal Networks in Parkinson's Disease” Neuropsychopharmacology Kyriakopoulou V, Vatansever D, Davidson A, Patkee P, Elkommos S, Chew A, Martinez-Biarge M, Hagberg B, Damodaram M, Allsop J, Fox M, Hajnal JV, Rutherford MA. (2016), “Normative biometry of the fetal brain using magnetic resonance imaging.” Brain Structure and Function 222(5):2295-2307 Vatansever D, Manktelow AE, Sahakian BJ, Menon DK, Stamatakis EA. (2016), “Angular default mode network connectivity across working memory load.” Human Brain Mapping 38(1):41-52 2015Vatansever D, Manktelow AE, Sahakian BJ, Menon DK, Stamatakis EA (2015), “Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective” Brain Connectivity 2013Kyriakopoulou 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 Details 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 Details 2012Wright 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 |