Fatemeh Eivazi

ORCID: 0000-0002-5673-253X
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Psychological and Temporal Perspectives Research
  • Mental Health Research Topics
  • EEG and Brain-Computer Interfaces
  • Decision-Making and Behavioral Economics
  • Epilepsy research and treatment
  • Rough Sets and Fuzzy Logic
  • Biomedical Text Mining and Ontologies
  • Advanced Text Analysis Techniques

Tehran University of Medical Sciences
2018-2023

Institute for Cognitive Science Studies
2018-2023

Shahid Beheshti University
2018-2023

Abstract Objective To evaluate the alterations of language and memory functions using dynamic causal modeling, in order to identify epileptogenic hemisphere temporal lobe epilepsy (TLE). Methods Twenty‐two patients with left TLE 13 right underwent functional magnetic resonance imaging (fMRI) during four mapping tasks. Dynamic modeling (DCM) was employed on fMRI data examine effective directional connectivity networks people compared healthy individuals. Results DCM analysis suggested that...

10.1002/acn3.51908 article EN cc-by-nc-nd Annals of Clinical and Translational Neurology 2023-09-30

To study the variations of delay discounting rates as a function fluency, contents, and functions future thoughts in healthy subjects.Delay (DD) is concept that can measure frequent tendency toward smaller, yet immediate rewards, while delayed reward greater value. DD describes people's choices intertemporal decisions associated with self-control. Future thinking (FT) having vivid imagination reduce individuals' rates. However, constructing specific episodic representation was merely studied...

10.1002/brb3.2764 article EN cc-by Brain and Behavior 2022-09-19

Purpose: To investigate the neural substrates underlying fluency of future thoughts in episodic thinking by investigating functional connectivity brain. So far, basis specificity representations has been studied, while there is a fair amount evidence toward functions on various disorders and behaviors. Method: The resting-state fMRI data fifteen right-handed adults (female=8, male=7) aged 25 to 40 years (M =31.8.16, SD =5.6) was analyzed extract graph theoretical measure nodal degrees...

10.22541/au.169633803.37179160/v1 preprint EN Authorea (Authorea) 2023-10-03

Introduction: Medial temporal sclerosis (MTS) is a form of mesial lobe epilepsy (mTLE). It typically characterized by structural alterations in hippocampus (HC) and related (MTL) network. Resting state functional connectivity (RSFC) considered an ideal technique quantifying the dysfunction maladaptation MTL well- demonstrated that seizure effects go beyond epileptogenic zones are fairly widespread across cortical subcortical regions. This study aims to assess RSFC patients with...

10.22038/ijmp.2018.12967 article EN 2018-12-01

Formal Concept Analysis (FCA) represents conceptual knowledge and supports the construction of hierarchies. FCA is applied to discover underlying clusters objects their attributes embedded in data a dataset. Therefore, it helps extract hidden formalizes coherent logical sets like formal concepts concept lattices. One fundamental tool identify structures among relational set association rule mining (ARM). With help rules, minimal nonredundant, or most generalized, associations can be drawn....

10.2139/ssrn.4240383 article EN SSRN Electronic Journal 2022-01-01
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