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The interaction between brain regions changes over time, which can be characterized using time-varying functional connectivity (tvFC). The common approach to estimate tvFC uses sliding windows and offers limited temporal resolution. An alternative method
Farnaz Zamani Esfahlani +5 more
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Total sleep deprivation (TSD) leads to cognitive decline; however, the neurophysiological mechanisms underlying resting-state electroencephalogram (EEG) changes after TSD remain unclear. In this study, 42 healthy adult participants were subjected to 36 h
Jie Lian +8 more
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Generative models, such as Variational Autoencoders (VAEs), are increasingly employed for atypical pattern detection in brain imaging. During training, these models learn to capture the underlying patterns within “normal” brain images and generate new ...
Mariia Sidulova, Chung Hyuk Park
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Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis
Background Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options.
Pilar Garcés +26 more
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Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches
In this paper, we propose two nonparametric methods used in the forecasting of functional time-dependent data, namely functional singular spectrum analysis recurrent forecasting and vector forecasting. Both algorithms utilize the results of functional singular spectrum analysis and past observations in order to predict future data points where ...
Jordan Trinka +2 more
openaire +2 more sources
Pyrroles are an exciting class of organic compounds with immense medicinal activities. This manuscript presents the structural and quantum mechanical studies of 1-(2-aminophenyl) pyrrole using X-Ray diffraction and various spectroscopic methods like ...
Katta Eswar Srikanth +6 more
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Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders
This paper explores the effect of using different pipelines to compute connectomes (matrices representing brain connections) and use them to train machine learning models with the goal of diagnosing Autism Spectrum Disorder. Five different pipelines are used to train six different ML models, splitting the data into female, male and all subsets so we ...
Clara Jiménez-Valverde +5 more
openaire +2 more sources
Analysis of biological spectrum of Divčibare flora [PDF]
One of the essential analyses which is performed during the floristic study of a region is the analysis of the biological spectrum. The analysis of the biological spectrum of the flora includes the determination of the type of life form for each taxon ...
Popović Ivana +1 more
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Abnormal functional specialization within medial prefrontal cortex in high-functioning autism: a multi-voxel similarity analysis [PDF]
Multi-voxel pattern analyses have proved successful in decoding mental states from fMRI data, but have not been used to examine brain differences associated with atypical populations. We investigated a group of 16 (14 males) high-functioning participants
Karren J. Towgood +15 more
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Background: Cognitive decline has been found to be associated with gray matter atrophy and disruption of functional neural networks in Alzheimer’s disease (AD) in structural and functional imaging (fMRI) studies.
Chimezie O. Amaefule +32 more
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