My name is Erfan. I hold an MSc degree in Biomedical Engineering, specializing in Magnetoencephalography (MEG). I completed my master's at Shahid Beheshti University (SBU), where I developed an automatic preprocessing pipeline (MEGAP) for MEG data. During my bachelor’s studies in Biomedical Engineering, I investigated white matter alterations in OCD using DTI images. My findings were published in Human Brain Mapping, exploring the relationship between structural brain changes and OCD subgroups.

My research focuses on brain activity mapping, with particular interest in developing and refining methods for MEG data preprocessing and source reconstruction. A key part of my works addresses large-scale challenges in handling and analyzing extensive MEG datasets by designing automated, robust pipelines. By analyzing spatial and temporal brain dynamics, I aim to understand how these internal neural representations emerge and change during different cognitive states.

Mohammadi, S. E., Shabani, H., Begmaz, M. M., & Soltani Dehaghani, N. (2025). MEGAP: A comprehensive pipeline for automatic preprocessing of large-scale magnetoencephalography data. Psychophysiology [doi] [pdf] [code] [docs]

Mohammadi, F. S., Mohammadi, S. E., Mojarad Adi, P., Mirkarimi, S. M. A., & Shabani, H. (2024). A comparative analysis of pairwise image stitching techniques for microscopy images. Scientific Reports [doi] [pdf] [code]

Azarvand Damirchi, M., Karimi Moridani, M., & Mohammadi, S. E.. (2023). Relationship between white matter alterations and contamination subgroup in obsessive compulsive disorder: A diffusion tensor imaging study. Human Brain Mapping [doi] [pdf]

Adding features to MEGAP that streamline source reconstruction analysis, with a particular focus on MRI preprocessing and automated MRI–MEG coregistration algorithms optimized for large-scale neuroimaging datasets.