Elias Ebrahimzadeh

EEG-Based Depression Detection Using CNN–GRU and MRMR Feature Selection

Mohammad Reza Yousefi, Elias Ebrahimzadeh, Hajar Ismail Al-Tamimi, Lila Rajabion et autres

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Efficacy and Safety of Repetitive Transcranial Magnetic Stimulation in Epilepsy: A Comprehensive Review

Maedeh Najafi Ashtiani, Parsa Palizian, Elias Ebrahimzadeh, Farid Hosseinzadeh et autres

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Editorial: Cognitive enhancement by brain stimulation techniques

Elias Ebrahimzadeh, Hamid Soltanian-Zadeh

Throughout history, humanity has persistently sought to augment its inherent capabilities, encompassing both cognitive and motor functions. Among the various tools explored for this purpose, brain stimulation techniques represent a domain whose potential has not yet been fully appreciated. Until recently, the …

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Detecting Depression Using EEG: A Hybrid CNN-GRU Approach with Optimized MRMR Features

Mohammad Reza Yousefi, Elias Ebrahimzadeh, Hajar Ismail Al-Tamimi, Lila Rajabion et autres

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Neural Correlates of Reward and Punishment Processing During Gambling-Based Decision-Making: A Simultaneous EEG-fMRI Study

Elias Ebrahimzadeh, Amin Mohammad Mohammadi, Ahmad Hammoud, Lila Rajabion et autres

Understanding the neural feedback mechanisms that govern cognitive decision-making during reward and punishment processing is crucial for deciphering brain function. This study introduces the first simultaneous electroencephalography-functional magnetic resonance imaging (EEG-fMRI) investigation of a modified gambling task, analyzed using a General Linear …

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A Real-Time Integrated Framework for Face Detection, Gender, and Emotion Recognition Using Convolutional Neural Networks

Mostafa Asgarinejad, Elias Ebrahimzadeh, Vida Mirabolfathi, Lila Rajabion et autres

This paper presents a real-time convolutional neural network (CNN) framework for simultaneous facial emotion and gender recognition. The proposed architecture is designed to process facial images and classify them into six basic emotion categories (happiness, sadness, anger, fear, surprise, disgust) and two …

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Mapping Epileptic Networks: IED-Triggered Hemodynamic Changes Identified via Simultaneous EEG-fMRI Recordings

Elias Ebrahimzadeh, Hora Amoozegar, Mostafa Asgarinejad, Melika Akbarimehr et autres

A central goal of the presurgical evaluation for refractory focal epilepsy is the accurate delineation of the epileptogenic zone (EZ)-the cortical region indispensable for generating epileptic seizures. Given that electroencephalography (EEG) provides superior temporal resolution while functional magnetic resonance imaging (fMRI) offers …

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Neural Encoding of Outcome Magnitude: Evidence from fMRI

Amin Mohammad Mohammadi, Shaghayegh Mahmoudi, Narjes Amin, Farid Hosseinzadeh et autres

Reward and punishment outcomes play a central role in adaptive decision-making, yet while the effects of outcome valence have been extensively studied, the neural encoding of outcome magnitude remains less well understood. Previous neuroimaging research has typically examined reward magnitude in isolation, …

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An Automatic Pipeline for Simultaneous EEG-FMRI Artifact-removal (SEFA)

Farid Hosseinzadeh, Amin Mohammad Mohammadi, Mehrdad Anvarifard, Sasan Keshavarz et autres

Simultaneous EEG-fMRI provides complementary temporal and spatial information about brain function, but its utility is hindered by severe scanner-induced artifacts such as gradient and ballistocardiographic (BCG) noise. Manual artifact correction is effective but laborintensive, inconsistent, and difficult to scale. We introduce SEFA, …

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Feedback Related Negativity specifications in unpredictable gambling conditions

Ali Mohammadi, Elias Ebrahimzadeh, Hamid Soltanian‐Zadeh

Decision-making is crucial, as it influences future directions, actions, and behaviors. Previous EEG studies frequently highlight Feedback-Related Negativity (FRN), an event-related potential (ERP) appearing 200–350 milliseconds after feedback during decision-making. The FRN is believed to originate from dopaminergic neurons in the mesencephalic …

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Editorial: 15 years of frontiers in human neuroscience: new insights in cognitive neuroscience

Elias Ebrahimzadeh, Hamid Soltanian‐Zadeh

In recent years, scientists have developed novel techniques and accomplished remarkable achievements, resulting in substantial advancements within the rapidly expanding field of Human Neuroscience. In this context, engineering methodologies applied to cognitive neuroscience have consistently played a crucial role and have garnered …

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Spatio-temporal independent component classification for localization of seizure onset zone

Seyyed Mostafa Sadjadi, Elias Ebrahimzadeh, Alireza Fallahi, Jafar Mehvari Habibabadi et autres

Localization of the epileptic seizure onset zone (SOZ) as a step in presurgical planning leads to higher efficiency in surgical and stimulation treatments. However, the clinical localization procedure is a difficult, long procedure with increasing challenges in patients with complex epileptic foci. …

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