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Adaptive Brain Lab

 

Biography

I received a diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), specialising in Computer and Biomedical Engineering. My undergraduate work focused on Deep Brain Stimulation for Parkinson’s disease. After graduating, I worked as a research assistant at the Biomedical Simulations and Imaging Laboratory (NTUA).

In September 2013 I joined the Adaptive Brain Lab as an Early Research Fellow of the Adaptive Brain Computations (ABC) Marie Curie Initial Training Network. My work employed multi-modal brain imaging (fMRI, Magnetic Resonance Spectroscopy) and non-invasive brain stimulation (tDCs) to investigate the role of inhibitory mechanisms in visual learning. In 2018, I completed my PhD in Cognitive Neuroscience, under the supervision of Professor Zoe Kourtzi.

Currently I work as a postdoctoral fellow at the Adaptive Brain Lab. My work builds on the findings of my PhD research to test plasticity-related changes in cortical myelination and the use of pharmacological interventions for learning.

Outside the lab, I enjoy rowing, baking and DIY projects.

Poly is a postdoctoral research associate at Lucy Cavendish College.

Research

I am interested in understanding the plastic changes that brain circuits undergo during training and in developing interventions that facilitate brain plasticity when these brain circuits are compromised. I combine cutting-edge high-field brain imaging methods with non-invasive brain stimulation and pharmacological interventions, to measure training-induced changes in the brain and build causal links with enhanced behavioural performance.

Read more about Learning to see in noise

Publications

Key publications: 

Frangou P, Emir UE, Karlaftis VM, Nettekoven C, Hinson EL, Larcombe S, Bridge H, Stagg CJ, Kourtzi Z (2019) Learning to optimize perceptual decisions through suppressive interactions in the human brain, Nature Communications 10:474

Frangou P, Correia M, and Kourtzi Z (2018) GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain. eLife 25(Oct) eLife 2018;7:e35854

Michmizos K, Frangou P, Stathis P, Sakas D and Nikita K (2015). Beta-band frequency peaks inside the subthalamic nucleus as a biomarker for motor improvement after deep brain stimulation in Parkinson's disease, IEEE journal of biomedical and health informatics

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