Naghmeh Ghazaleh

Neuroscience, Machine learning, Biostatistics


Naghmeh Ghazaleh, is a PhD student in MIPLAB/ EDNE at EPFL, collaborating with thesis co-advisors Prof. Van De Ville and Dr. Melissa Saenz. During her PhD she works on statistical analysis of high-field fMRI using model based and data driven approaches. The main focus of her work is on studying functional activity of the auditory cortex in tinnitus patients. She earned a BSc in Electrical Engineering at K.N. Toosi University of Technology in Tehran, Iran and a MSc in Communication Systems at University of Tabriz.


Publications

N. Ghazaleh, W. Van der Zwaag, R. Maire, D. Van De Ville S. Clarke and M. Saenz, High-Resolution fMRI of Auditory Cortical Map Changes in Unilateral Hearing Loss and Tinnitus. Brain topography, in press.

Battistella, G., Najdenovska, E., Maeder, P., Ghazaleh, N., Daducci, A., Thiran, J.P., Jacquemont, S., Tuleasca, C., Levivier, M., Cuadra, M.B. and Fornari, E., 2016. Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties. Brain Structure and Function, pp.1-14.

Guinchard, A-C., N. Ghazaleh, M. Saenz, E. Fornari, J. O. Prior, P. Maeder, S. Adib, and R. Maire. "Study of tonotopic brain changes with functional MRI and FDG-PET in a patient with unilateral objective cochlear tinnitus." Hearing research 341 (2016): 232-239.

N. Ghazaleh, W. Van der Zwaag, R. Maire, M. Saenz and D. Van De Ville., Detection of hyperacusis condition in tinnitus patients based on PLSC features that link audiogram and fMRI tonotopy responses. Front. Syst. Neurosci, in prepration.

N. Ghazaleh, A. Razi, K. Friston and D. Van De Ville., Data driven parcellation of auditory cortex based on brain effective connectivity using resting state fMRI data.. Neuroimage, in prepration.