Results 11 to 20 of about 1,879,007 (290)

A Novel Spectrum Contrast Mapping Method for Functional Magnetic Resonance Imaging Data Analysis

Frontiers in Human Neuroscience, 2021
Many studies reported that spontaneous fluctuation of the blood oxygen level-dependent signal exists in multiple frequency components and changes over time.
Qin Yu, Zenglin Cai, Cunhua Li, Yulong Xiong, Yang Yang, Shuang He, Haitong Tang, Bo Zhang, Shouyun Du, Hongjie Yan, Chunqi Chang, Chunqi Chang, Nizhuan Wang   +12 more
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Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder

NeuroImage, 2022
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, Lisa Byrge, Jacob Tanner, Olaf Sporns, Daniel P. Kennedy, Richard F. Betzel   +5 more
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Reduced Resting-State EEG Power Spectra and Functional Connectivity after 24 and 36 Hours of Sleep Deprivation

Brain Sciences, 2023
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, Lin Xu, Tao Song, Ziyi Peng, Zheyuan Zhang, Xin An, Shufang Chen, Xiao Zhong, Yongcong Shao   +8 more
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Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study

Bioengineering, 2023
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

Molecular Autism, 2022
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, Sarah Baumeister, Luke Mason, Christopher H. Chatham, Stefan Holiga, Juergen Dukart, Emily J. H. Jones, Tobias Banaschewski, Simon Baron-Cohen, Sven Bölte, Jan K. Buitelaar, Sarah Durston, Bob Oranje, Antonio M. Persico, Christian F. Beckmann, Thomas Bougeron, Flavio Dell’Acqua, Christine Ecker, Carolin Moessnang, Tony Charman, Julian Tillmann, Declan G. M. Murphy, Mark Johnson, Eva Loth, Daniel Brandeis, Joerg F. Hipp, The EU-AIMS LEAP group authorship   +26 more
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Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches

CoRR, 2020
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, Hossein Haghbin, Mehdi Maadooliat   +2 more
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Detailed molecular structure (XRD), conformational search, spectroscopic characterization (IR, Raman, UV, fluorescence), quantum mechanical properties and bioactivity prediction of a pyrrole analogue

Heliyon, 2020
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, A. Veeraiah, T. Pooventhiran, Renjith Thomas, K. Anand Solomon, Ch.J. Soma Raju, J. Naveena Lavanya Latha   +6 more
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Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders

, 2022
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, Rosa Maza-Quiroga, Domingo López-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Rafael Marcos Luque Baena   +5 more
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Analysis of biological spectrum of Divčibare flora [PDF]

Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu, 2006
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, Obratov-Petković Dragica   +1 more
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Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer’s disease spectrum

NeuroImage: Clinical, 2021
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, Martin Dyrba, Steffen Wolfsgruber, Alexandra Polcher, Anja Schneider, Klaus Fliessbach, Annika Spottke, Dix Meiberth, Lukas Preis, Oliver Peters, Enise I. Incesoy, Eike J. Spruth, Josef Priller, Slawek Altenstein, Claudia Bartels, Jens Wiltfang, Daniel Janowitz, Katharina Bürger, Christoph Laske, Matthias Munk, Janna Rudolph, Wenzel Glanz, Laura Dobisch, John D. Haynes, Peter Dechent, Birgit Ertl-Wagner, Klaus Scheffler, Ingo Kilimann, Emrah Düzel, Coraline D. Metzger, Michael Wagner, Frank Jessen, Stefan J. Teipel   +32 more
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