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Estimation of high-dimensional brain connectivity networks using functional magnetic resonance imaging data
Published 2019“…This study considers the problem of modeling high-dimensional brain connectivity using statistical approach and estimate the connectivity between functional magnetic resonance imaging (fMRI) time series data measured from brain regions. …”
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A hybrid method for classifying cognitive states from fMRI data
Published 2015“…Functional magnetic resonance imaging (fMRI) makes it possible to detect brain activities in order to elucidate cognitive-states. …”
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Neuromarketing approach: an overview and future research direction
Published 2020“…Undoubtedly, the researchers and academia can record and measured the brain activity through using the state-of-the-art neuroimaging techniques such as functional magnetic resonance imaging (fMRI), the electroencephalography (EEG), and other neuromarketing methods. …”
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Neuromarketing: the popularity of the brain-imaging and physiological tools
Published 2021“…In this paper, we have concentrated on neuromarketing tools such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and eye-tracking (ET). …”
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Developing fMRI protocol for mathematics working memory functions: block paradigm
Published 2013“…This study modified the frequently used mathematics working memory protocol in block paradigm and compared them in order to get the reliable protocol between them. Two functional magnetic resonance imaging (fMRI) protocols for mathematics working memory functions (cognitive) were developed and conducted to 8 volunteers. …”
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A comprehensive bibliometric analysis of fNIRS and fMRI technology in neuromarketing
Published 2023“…The aim of this study is to perform a comprehensive bibliometric analysis of functional nearinfrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) tools. To achieve this aim, we adopted the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol and bibliometric analysis (VOSviewer) for extracting the relevant papers (articles and reviews) from the Scopus database between 2002 and 2022. …”
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A unified estimation framework for state-related changes in effective brain connectivity
Published 2017“…In real applications to brain signals, the approach was able to capture directed connectivity state changes in functional magnetic resonance imaging data linked with changes in stimulus conditions, and in epileptic electroencephalograms, differentiating ictal from nonictal periods. …”
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Identifying dynamic effective connectivity states in fMRI based on time-varying vector autoregressive models
Published 2016“…We propose a framework to estimate the transition of effective connectivity states in functional magnetic resonance imaging (fMRI), with the changing experimental conditions. …”
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fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift
Published 2017“…The measured functional magnetic resonance imaging (fMRI) time series is typically corrupted by instrumental drift and physiological noise due to respiration and heartbeat giving rise to temporal correlation in the signals. …”
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Estimating dynamic connectivity states in fMRI using regime-switching factor models
Published 2018“…To overcome these limitations, we propose a Markov-switching dynamic factor model, which allows the dynamic connectivity states in functional magnetic resonance imaging (fMRI) data to be driven by lower-dimensional latent factors. …”
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Non polar generalization of flat electroencephalography during epileptic seizure
Published 2012“…On the other hand, results from Non-Polar CEEG also agreed with Functional Magnetic Resonance Imaging (fMRI) results in localization of the speech area of the brain of Japanese-Spanish speakers. …”
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12
State-space modeling and estimation for multivariate brain signals
Published 2017“…This model was applied to motor-imagery EEG and motortask functional magnetic resonance imaging (fMRI) data, where the results showed that the effective connectivity changes over time. …”
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13
Classification of attention deficit hyperactivity disorder using variational autoencoder
Published 2021“…Therefore, functional Magnetic Resonance Imaging (fMRI) is considered the most suitable method to determine functional activity in the brain region to understand brain disorders of ADHD. …”
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Intrinsic connections between fronto-parietal network during mental arithmetic tasks
Published 2016“…In this study, functional Magnetic Resonance Imaging (fMRI) scans were performed on twenty-two (n = 22) healthy male participants. …”
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Thesis