Maite Arribas

1+3 Student

In 2019, I graduated from the University of Cambridge in Biological Natural Sciences. With the hope to focus on the brain basis of human behaviour, I then completed an MSc in Cognitive Neuroscience at UCL. There I worked in the Plasticity Lab (PI: Dr. Tamar Makin), where I analysed fMRI data looking into the plastic changes that occur in the human sensorimotor cortex after amputation. After completing my Masters (2020), I decided that for my PhD, I wanted to help bridge the gap between Neuroscience and Psychiatry by using computational and ‘big-data’ methods. For this reason, the Theme 2 (Neurosciences, Psychiatry and Mental Health) offered by the DTP was ideal for me, as it offered an outstanding number of interesting projects exploring this interdisciplinary approach.   

I have really enjoyed my rotations, not only because the research is exciting, but also because they have given me the opportunity to make valuable connections with researchers and clinicians who I hope to collaborate with during my PhD. Moreover, since I have joined the DTP, I have truly appreciated the extensive training opportunities provided, which not only help with my current research, but also help build a set of skills which will be useful for any career choice I make in the future. In my free time, I also tutor and mentor high-school children in sciences and math courses.   

Publication 

Rollins, C. P., Garrison, J. R., Arribas, M., Seyedsalehi, A., Li, Z., Chan, R. C., … & Suckling, J. (2020). Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia. Translational psychiatry, 10(1), 1-14. 

Conference 

Cambridge Neuroscience Seminar (2019) – Signalling, Sensation and Sentience. 

Rotations  

  • The risk of atopic disorders on Severe Mental Illness: an epidemiological study. (Supervisors: Dr. Alexandru Dregan, Dr. Matthew Hotopf)  
  • Development and Implementation of CONVERT: a digital algorithm to facilitate large-scale research in subjects at Clinical High Risk for Psychosis (Supervisors: Prof. Paolo Fusar-Poli, Prof. Phillip McGuire)  
  • Assessing schizotypy in the general population using quantitative markers of disorganised speech. (Supervisors: Dr. Kelly Diederen, Dr. Thomas Spencer)