Mohammad-Reza Nazem-Zadeh
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View article: Neuroimaging abnormalities in functional/dissociative seizures: a meta-analysis
Neuroimaging abnormalities in functional/dissociative seizures: a meta-analysis Open
The neural basis of functional/dissociative seizures represents a significant challenge for psychiatry and neurology. While abnormalities in neuroimaging have been observed, findings across studies remain inconsistent. This systematic revi…
View article: Spatio-temporal independent component classification for localization of seizure onset zone
Spatio-temporal independent component classification for localization of seizure onset zone Open
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 in…
View article: Assessing the Effectiveness of Neurofeedback for Drug-Resistant Focal Epilepsy MRI
Assessing the Effectiveness of Neurofeedback for Drug-Resistant Focal Epilepsy MRI Open
Purpose: Evidence shows that Neurofeedback (NF) can reduce seizure frequency and enhance Sensorimotor Rhythm (SMR) in patients with drug-resistant focal epilepsy, but the neural mechanisms underlying such effects are not well understood. T…
View article: Diagnosis of Schizophrenia and its Subtypes Using MRI and Machine Learning
Diagnosis of Schizophrenia and its Subtypes Using MRI and Machine Learning Open
Purpose The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to e…
View article: Nodal degree centrality in the default mode-like network of the TgF344-AD Alzheimer’s disease rat model as a measure of early network alterations
Nodal degree centrality in the default mode-like network of the TgF344-AD Alzheimer’s disease rat model as a measure of early network alterations Open
This study investigates brain network alterations in the default mode-like network (DMLN) at early stages of disease progression in a rat model of Alzheimer’s disease (AD) with application in the development of early diagnostic biomarkers …
View article: The Role of Machine Learning in the Management of Epilepsy - Current Status, Challenges and Future Direction: A Systematic Review and Meta-Analysis
The Role of Machine Learning in the Management of Epilepsy - Current Status, Challenges and Future Direction: A Systematic Review and Meta-Analysis Open
View article: Neural Basis of Subjects’ Fluency in Episodic Future Thinking: a resting-state fMRI Study
Neural Basis of Subjects’ Fluency in Episodic Future Thinking: a resting-state fMRI Study Open
Purpose: To investigate the neural substrates underlying the fluency of future thoughts in episodic future thinking by investigating the functional connectivity of the brain. So far, the neural basis of the specificity of future representa…
View article: Prediction of normal tissue complication probability (NTCP) after radiation therapy using imaging and molecular biomarkers and multivariate modeling
Prediction of normal tissue complication probability (NTCP) after radiation therapy using imaging and molecular biomarkers and multivariate modeling Open
Purpose The aim of this study was to design a predictive radiobiological model of normal brain tissue in low-grade glioma following radiotherapy based on imaging and molecular biomarkers. Methods Fifteen patients with primary brain tumors …
View article: Alteration of intracranial blood perfusion in temporal lobe epilepsy, an arterial spin labeling study
Alteration of intracranial blood perfusion in temporal lobe epilepsy, an arterial spin labeling study Open
Our result revealed that mTLE affects extratemporal regions and both mTLE subcohorts with different perfusion patterns, which may enhance the performance of preoperative MRI assessment in lateralization procedures.
View article: Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom
Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom Open
The local phase features of diffusion images are an innovative solution to determine principal diffusion directions.
View article: Assessing the Effectiveness of Neurofeedback for Drug-Resistant Focal Epilepsy: A Preliminary MRI Study
Assessing the Effectiveness of Neurofeedback for Drug-Resistant Focal Epilepsy: A Preliminary MRI Study Open
View article: Cortical thickness analysis in temporal lobe epilepsy using fully Bayesian spectral method in magnetic resonance imaging
Cortical thickness analysis in temporal lobe epilepsy using fully Bayesian spectral method in magnetic resonance imaging Open
Background Temporal lobe epilepsy (TLE) is the most common type of epilepsy associated with changes in the cerebral cortex throughout the brain. Magnetic resonance imaging (MRI) is widely used for detecting such anomalies; nevertheless, it…
View article: CTtrack: A CNN+Transformer-based framework for fiber orientation estimation & tractography
CTtrack: A CNN+Transformer-based framework for fiber orientation estimation & tractography Open
View article: Deep learning framework for prediction of infection severity of COVID-19
Deep learning framework for prediction of infection severity of COVID-19 Open
With the onset of the COVID-19 pandemic, quantifying the condition of positively diagnosed patients is of paramount importance. Chest CT scans can be used to measure the severity of a lung infection and the isolate involvement sites in ord…
View article: A Memory-efficient Deep Framework for Multi-Modal MRI-based Brain Tumor Segmentation
A Memory-efficient Deep Framework for Multi-Modal MRI-based Brain Tumor Segmentation Open
Automatic Brain Tumor Segmentation (BraTS) from MRI plays a key role in diagnosing and treating brain tumors. Although 3D U-Nets achieve state-of-the-art results in BraTS, their clinical use is limited due to requiring high-end GPU with hi…
View article: A Fast and Memory-Efficient Brain MRI Segmentation Framework for Clinical Applications
A Fast and Memory-Efficient Brain MRI Segmentation Framework for Clinical Applications Open
Current segmentation tools of brain MRI provide quantitative structural information for diagnosing neurological disorders. However, their clinical application is generally limited due to high memory usage and time consumption. Although 3D …
View article: ConvTract: A Convolutional-based Framework for Tractography
ConvTract: A Convolutional-based Framework for Tractography Open
ConvTract is a data-driven tractography pipeline.
View article: Pharmacological Effects on Brain Morphology and Cognitive Functions in Idiopathic Generalized Epilepsy
Pharmacological Effects on Brain Morphology and Cognitive Functions in Idiopathic Generalized Epilepsy Open
Purpose: Sodium Valproate (VPA) is one of the first-generation Antiepileptic Drugs (AEDs) which mediates epileptic activities by releasing stimulators of Gamma-Aminobutyric Acid (GABA) and is greatly used to treat partial and generalized s…
View article: Formal Concept Analysis-Based Clustering of Epilepsy Patients: An Association Rule Mining Application
Formal Concept Analysis-Based Clustering of Epilepsy Patients: An Association Rule Mining Application Open
View article: A novel approach for extracting functional brain networks involved in mesial temporal lobe epilepsy based on self organizing maps
A novel approach for extracting functional brain networks involved in mesial temporal lobe epilepsy based on self organizing maps Open
View article: The Role of Baseline Functional MRI as a Predictor of Post-Stroke Rehabilitation Efficacy in Patients with Moderate to Severe Upper Extremity Dysfunction
The Role of Baseline Functional MRI as a Predictor of Post-Stroke Rehabilitation Efficacy in Patients with Moderate to Severe Upper Extremity Dysfunction Open
Introduction: Upper extremity impairment is one of the common complications following a stroke. There are numerous rehabilitation strategies to address this problem. However, patients with moderate to severe upper limb disabilities respond…
View article: Transformer-Based Framework for Fiber Orientation Estimation & Tractography
Transformer-Based Framework for Fiber Orientation Estimation & Tractography Open
View article: ConvTract: A Convolutional-based Framework for Tractography
ConvTract: A Convolutional-based Framework for Tractography Open
ConvTract is a data-driven tractography pipeline.
View article: ConvTract: A Convolutional-based Framework for Tractography
ConvTract: A Convolutional-based Framework for Tractography Open
We developed a data-driven tractography pipeline.
View article: ConvTract: A Convolutional-based Framework for Tractography
ConvTract: A Convolutional-based Framework for Tractography Open
ConvTract is a data-driven tractography pipeline.
View article: Review for "Altered static and dynamic functional network connectivity in temporal lobe epilepsy with different disease duration and their relationships with attention"
Review for "Altered static and dynamic functional network connectivity in temporal lobe epilepsy with different disease duration and their relationships with attention" Open
View article: Review for "Altered static and dynamic functional network connectivity in temporal lobe epilepsy with different disease duration and their relationships with attention"
Review for "Altered static and dynamic functional network connectivity in temporal lobe epilepsy with different disease duration and their relationships with attention" Open
View article: A Simple and Fast Method to Design Robotic Hands
A Simple and Fast Method to Design Robotic Hands Open
This paper has investigated the mathematical approaches used in the design of robots in order to identify the best method to design robotic hands.For this purpose and following the main origin of the subject, the results obtained from the …
View article: White matter microstructural differences between right and left mesial temporal lobe epilepsy
White matter microstructural differences between right and left mesial temporal lobe epilepsy Open
Correction: Data mining MR image features of select structures for lateralization of mesial temporal lobe epilepsy Open