Ali Motie Nasrabadi
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View article: Electroencephalogram Sonification with Hybrid Intelligent System Design Based on Deep Network
Electroencephalogram Sonification with Hybrid Intelligent System Design Based on Deep Network Open
Background: The electroencephalogram (EEG) sonification is an audio portrayal of EEG signals to provide a better understanding of events and brain activity thereupon. This portrayal can be applied to better diagnosis and treatment of some …
View article: ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals
ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals Open
Attention Deficit Hyperactivity Disorder (ADHD) is a common brain disorder in children that can persist into adulthood, affecting social, academic, and career life. Early diagnosis is crucial for managing these impacts on patients and the …
View article: Functional Connectivity Assessment in Alzheimer's Disease: A Comparative Study of Linear and Non-linear fMRI Analysis Approaches
Functional Connectivity Assessment in Alzheimer's Disease: A Comparative Study of Linear and Non-linear fMRI Analysis Approaches Open
Purpose: Brain connectivity studies unveil the intricate interactions within neural networks. Various approaches exist to explore brain connectivity, yet the debate between the efficacy of linear versus non-linear methods remains unresolve…
View article: Hierarchical neurobiological changes in dorsolateral prefrontal cortex and subgenual anterior cingulate cortex connectivity induced by theta-burst stimulation
Hierarchical neurobiological changes in dorsolateral prefrontal cortex and subgenual anterior cingulate cortex connectivity induced by theta-burst stimulation Open
Recent studies show that left dorsolateral prefrontal cortex (DLPFC) stimulation induces acute and persistent changes in the subgenual anterior cingulate cortex (sgACC), and the degree of sgACC modulation predicts treatment response in pat…
View article: Optimal Multivariate Transfer Entropy to Determine Differences in Short and Long-Range EEG Connectivity in Children with ADHD and Healthy Children
Optimal Multivariate Transfer Entropy to Determine Differences in Short and Long-Range EEG Connectivity in Children with ADHD and Healthy Children Open
Purpose: Investigating brain connectivity using Electroencephalogram (EEG) is a valuable method for studying mental disorders, such as Attention-Deficit/Hyperactivity Disorder (ADHD), and optimizing and developing measures of effective con…
View article: Behavioral and Electrophysiological Evidence of Time Dilation Induced by Click Train in a Temporal Reproduction Task
Behavioral and Electrophysiological Evidence of Time Dilation Induced by Click Train in a Temporal Reproduction Task Open
Background: The temporal reproduction paradigm is extensively used to study human time perception. Despite extensive behavioral and physiological research, the effect of click trains on different supra-second interval timings in the time r…
View article: A Lyapunov spectrum based hybrid static and dynamic approach for contingency ranking
A Lyapunov spectrum based hybrid static and dynamic approach for contingency ranking Open
The goal of contingency ranking is to provide a list of possible critical situations and rank them according to the severity of their impact on a power network. The methods of contingency ranking may be divided into two major categories: s…
View article: Possible Neuropathological Mechanisms Underlying the Increased Complexity of Brain Electrical Activity in Schizophrenia: A Computational Study
Possible Neuropathological Mechanisms Underlying the Increased Complexity of Brain Electrical Activity in Schizophrenia: A Computational Study Open
Objective: Schizophrenia is a complex neurodevelopmental illness that is associated with different deficits in the cerebral cortex and neural networks, resulting in irregularity of brain waves. Various neuropathological hypotheses have bee…
View article: A Comparative Study of Correlation Methods in Functional Connectivity Analysis Using fMRI Data of Alzheimer’s Patients
A Comparative Study of Correlation Methods in Functional Connectivity Analysis Using fMRI Data of Alzheimer’s Patients Open
Although the Pearson method has limitations in capturing non-linear relationships, it is the most prevalent method. To have a comprehensive analysis, investigating non-linear methods such as distance correlation is recommended.
View article: A predictive model of death from cerebrovascular diseases in intensive care units
A predictive model of death from cerebrovascular diseases in intensive care units Open
Objective: This study aimed to explore the mortality prediction of patients with cerebrovascular diseases in the intensive care unit (ICU) by examining the important signals during different periods of admission in the ICU, which is consid…
View article: Gender Differences in EEG Responses to Color and Black-White Images: Implications for Neuromarketing Strategies
Gender Differences in EEG Responses to Color and Black-White Images: Implications for Neuromarketing Strategies Open
Analyzing the decision of different genders during shopping is an interesting topic in the neuromarketing industry. This study explores the EEG signal acquisition of twenty subjects in response to Color and Black-White (CL/BW) images and a…
View article: A Spherical Phase Space Partitioning Based Symbolic Time Series Analysis (SPSP—STSA) for Emotion Recognition Using EEG Signals
A Spherical Phase Space Partitioning Based Symbolic Time Series Analysis (SPSP—STSA) for Emotion Recognition Using EEG Signals Open
Emotion recognition systems have been of interest to researchers for a long time. Improvement of brain-computer interface systems currently makes EEG-based emotion recognition more attractive. These systems try to develop strategies that a…
View article: Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data
Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data Open
In recent years, the regression dynamic causal modelling (rDCM) method was introduced as a new version of dynamic causal modelling (DCM) to derive effective connectivity in whole-brain networks for functional magnetic resonance imaging (fM…
View article: Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches Open
Translating progress in neuroscience into clinical benefits for patients with psychiatric disorders is challenging because it involves the brain as the most complex organ and its interaction with a complex environment and condition. Dealin…
View article: Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study
Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study Open
The present study considers the decision making of customers in a Like/Dislike task with respect to the gender of customers. The investigation is performed by recording electroencephalography (EEG) signal from 20 subjects that stimulated b…
View article: First Event-Related Potentials Evidence of Auditory Morphosyntactic Processing in a Subject-Object-Verb Nominative-Accusative Language (Farsi)
First Event-Related Potentials Evidence of Auditory Morphosyntactic Processing in a Subject-Object-Verb Nominative-Accusative Language (Farsi) Open
While most studies on neural signals of online language processing have focused on a few—usually western—subject-verb-object (SVO) languages, corresponding knowledge on subject-object-verb (SOV) languages is scarce. Here we studied Farsi, …
View article: The Relation between Chaotic Feature of Surface EEG and Muscle Force: Case Study Report
The Relation between Chaotic Feature of Surface EEG and Muscle Force: Case Study Report Open
Background: Nonlinear dynamics, especially the chaos characteristics, are useful in analyzing bio-potentials with many complexities. In this study, the evaluation of arm-tip force estimation method from the electroencephalography (EEG) sig…
View article: Analysis of Effective Connectivity Strength in Children with Attention Deficit Hyperactivity Disorder Using Phase Transfer Entropy
Analysis of Effective Connectivity Strength in Children with Attention Deficit Hyperactivity Disorder Using Phase Transfer Entropy Open
Objective: This study aimed to investigate differences in brain networks between healthy children and children with attention deficit hyperactivity disorder (ADHD) during an attention test. Method: To fulfill this, we constructed weighted …