“Elias Ebrahimzadeh”

IPM Positions

Resident Researcher, School of Cognitive Sciences
(2024 - Present )

Past IPM Positions

Post-Doctoral Research Fellow, School of Cognitive Sciences
(2020 - 2024)

Research Interests

Cognitive Neuroscience, Simultaneous EEG-fMRI Analysis, Biomedical Signal Processing, Artificial Neural Network, Statistical Pattern Recognition, Image Processing, Machine Learning, System Identification

Related Papers

1. M. Asgarinejad, M. Saviz, S. Sadjadi, S. Saliminia, A. Kakaei, P. Esmaeili, A. Hammoud, E. Ebrahimzadeh and H. Soltanian-Zadeh
Repetitive transcranial magnetic stimulation (rTMS) as a tool for cognitive enhancement in healthy adults: a review study
Medical & Biological Engineering & Computing 62 (2024),   [abstract]
2. E. Ebrahimzadeh and H. Soltanian-Zadeh
Editorial: Simultaneous EEG-fMRI applications in cognitive neuroscience
Frontiers in Human Neuroscience 17 (2024),   [abstract]
3. M. Asgarinejad, M. Saviz, S. Sadjadi, S. Saliminia, A. Kakaei, P. Esmaeili, A. Hammoud, E. Ebrahimzadeh and H. Soltanian-Zadeh
Repetitive transcranial magnetic stimulation (rTMS) as a tool for cognitive enhancement in healthy adults: a review study
Medical & Biological Engineering & Computing (2023),   [abstract]
4. E. Ebrahimzadeh, A. Dehghani, M. Asgarinejad and H. Soltanian-Zadeh
Non-linear processing and reinforcement learning to predict rTMS treatment response in depression
Psychiatry Research: Neuroimaging (2023),   [abstract]
5. E. Ebrahimadeh, F. Fayaz, L. Rajabion, M. Seraji, F. Aflaki, A. Hammoud, Z. Taghizadeh, M. Asgarinejad and H. Soltanian-zadeh
Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder
Frontiers in Systems Neuroscience 17 (2023),   [abstract]
6. S. Sadjadi, E. Ebrahimzadeh and H. Soltanian-Zadeh
fMRI Functional Connectivity Analysis for Localizing Epileptic Focus
Iranian Conference on Electrical Engineering (ICEE) (2022),   [abstract]
7. E. Ebrahimzadeh, S. Saharkhiz, L. Rajabion, H. Oskouei, M. Seraji, F. Fayaz, S. Saliminia, S. Sadjadi and H. Soltanian-Zadeh
Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function
Frontiers in Systems Neuroscience 16 (2022),   [abstract]
8. E. Ebrahimzadeh, M. Asgarinejad and H. Soltanian-Zadeh
Machine Learning Techniques and Nonlinear Features of EEG signal to Predict Treatment Response to rTMS in Depression
(2021),   [abstract]
9. S.M. Sadjadi, E. Ebrahimzadeh, M. shams, M. Seraji and H. Soltanian-Zadeh
Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data
Frontiers in Neurology (2021),   [abstract]
10. E. Ebrahimzadeh, M. Asgarinejad, S. Saliminia, S. Ashoori and M. Seraji
Predicting clincal response to Transcranial magnetic stimulation in major depression using time-frequency EEG signal processing
Biomedical Engineering 33 (2021),   [abstract]
11. E. Ebrahimzadeh, M. Shams, M. Searji, S.M. Sadjadi, L. Rajabion and H. Soltanian-Zadeh
Localizing Epileptic Foci Using Simultaneous EEG-fMRI Recording: Template Component Cross-Correlation
Frontiers in Neurology 15 (2021),   [abstract]
12. E. Ebrahimzadeh and H. Soltanian-Zadeh
Localization of seizure onset zone through simultaneous EEG-fMRI recording: Component-related BOLD changes
(2020),   [abstract]
13. E. Ebrahimzadeh, M. Shams, A.R. joungha, F. Fayaz, M. Mirbagheri, N. Hakimi, S. S. H. Fesharaki and H. Soltanian-Zadeh
Epilepsy presurgical evaluation of patients with complex source localization by a novel component-based EEG-fMRI approach
(2019),   [abstract]
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