Newcastle University

Qualifications

• BSc (Hons) Electronics and Communications Engineering (Tecnologico de Monterrey)
• MSc (Highest Hons) Electronic Systems (Tecnologico de Monterrey)
• PhD Electronics (University of York) 

Current research Interests

My interests are brain networks, their inference using different technologies such as EEG, MEG and fMRI, and their links to different cognitive states, conditions and brain related diseases.

• Study of the resting state networks (RSNs) for clinical diagnosis in dementia using fMRI (with John-Paul Taylor, IAH).
• Brain network inference and network measure relations to cognitive fluctuations in dementia with Lewy bodies (DLB), (with John-Paul Taylor and Marcus Kaiser).
• Resting state network analysis and brain network inference in mild trauma brain injury (MTBI) from MEG recordings (with Aziz Asghar, Hull-York Medical School; and David Halliday, University of York).

• Peraza LR, Asghar A, Townend W, Midgley S, Green G, Halliday DM. Brain Functional Connectivity Inference In Magnetoencephalography Using Fourier Bayesian Networks. In: 8th FENS Forum of Neuroscience. 2012, Barcelona, Spain.
• Peraza LR, Asghar AUR, Green G, Halliday DM. Volume conductioneffects in brain network inference from electroencephalographic recordings using phase lag index. Journal of Neuroscience Methods 2012, 207(2), 189-199.
• Peraza LR, Halliday DM. A fast dynamic Bayesian network algorithm for structure learning using a time-lagged partial correlation matrix. In: IEEE International Conference on Signals and Electronic Systems (ICSES). 2010.
• Peraza LR, Halliday DM. Fourier Bayesian Information Criterion for network structure and causality estimation. In: IEEE International Conference on Signals and Electronic Systems (ICSES). 2010.
• Peraza LR, Bouchereau F. Warped AR modelling and spectral estimation for EEG signals. In: 19th Biennial International EURASIP Conference Biosignal. 2008, Brno - Czech Republic: Brno University of Technology.