Comparative analysis of group information-guided independent component analysis and independent vector analysis for assessing brain functional network characteristics in autism spectrum disorder [PDF]
Frontiers in Neuroscience, 2023 IntroductionGroup information-guided independent component analysis (GIG-ICA) and independent vector analysis (IVA) are two methods that improve estimation of subject-specific independent components in neuroimaging studies.
Junlin Jing +5 more
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Dynamic Functional Network Connectivity Analysis in Autism Spectrum Disorder: An EEG Study
IEEE AccessConvergent evidence has suggested a significant effect of bumetanide exposure on brain connectivity in patients with autism spectrum disorder (ASD), yet the characteristics of favorable treatment outcome remains largely unknown. In this work, we aimed to
Seyedeh Negin Seyed Fakhari +3 more
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A Functional Analysis of Sharing in Preschoolers with Autism Spectrum Disorder [PDF]
, 2020 Individuals with autism spectrum disorder (ASD) demonstrate deficits in social behavior which may hinder them from engaging in social interactions. Results of descriptive analyses suggest that children who engage in prosocial behaviors, such as sharing, likely receive social positive reinforcement from peers in the form of attention.
Courtney Clubb
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Frontiers in Neurology, 2018 Background: There is accumulating evidence showing that patients with autism spectrum disorder (ASD) have obvious changes in resting-state functional brain activity. So far, there have been no meta-analyses of the resting-state brain activity alterations
Wenhui Wang +9 more
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Blurred magnitude homology of functional connectome for ASD diagnosis [PDF]
Frontiers in PsychiatryAutism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders. Existing studies show that adults with ASD may experience accelerated or altered neurocognitive aging.
Alexander Kachura +3 more
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FUNCTIONAL ANALYSIS AND TREATMENT OF ARRANGING AND ORDERING BY INDIVIDUALS WITH AN AUTISM SPECTRUM DISORDER [PDF]
Journal of Applied Behavior Analysis, 2012 Nicole M. Rodriguez +3 more
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Forecasting Density Function Time Series: A Functional Singular Spectrum Analysis Approach [PDF]
Journal of Statistical SciencesHossein Haghbin
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Energy spectrum of some diatomic molecules using Nikiforov-Uvarov functional analysis [PDF]
Physica ScriptaAbstract In this present work, the Nikiforov-Uvarov functional analysis is suggested to determine the solutions of the Schrodinger equation supported by different types of potentials and employing the Greene-Aldrich approximation. The objective was to estimate the energy spectrum of some diatomic molecules (CO, NO, N2, CH) by resolving ...
Khalid Reggab
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Rfssa: An R Package for Functional Singular Spectrum Analysis [PDF]
The R JournalHossein Haghbin +2 more
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Functional time series forecasting: Functional singular spectrum analysis approaches
Stat, 2023 AbstractWe introduce two novel nonparametric forecasting methods designed for functional time series (FTS), namely, functional singular spectrum analysis (FSSA) recurrent and vector forecasting. Our algorithms rely on extracted signals obtained from the FSSA method and innovative recurrence relations to make predictions. These techniques are model‐free,
Jordan Trinka +3 more
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