Results 1 to 10 of about 722,096 (265)

Identification and Functional Analysis of Long Non-coding RNAs in Autism Spectrum Disorders [PDF]

Frontiers in Genetics, 2020
Genetic and environmental factors, alone or in combination, contribute to the pathogenesis of autism spectrum disorder (ASD). Although many protein-coding genes have now been identified as disease risk genes for ASD, a detailed illustration of long non ...
Zhan Tong, Yuan Zhou, Juan Wang, Juan Wang   +3 more
doaj   +3 more sources

Functional analysis helps to define KCNC3 mutational spectrum in Dutch ataxia cases. [PDF]

PLoS ONE, 2015
Spinocerebellar ataxia type 13 (SCA13) is an autosomal dominantly inherited neurodegenerative disorder of the cerebellum caused by mutations in the voltage gated potassium channel KCNC3.
Anna Duarri, Esther A R Nibbeling, Michiel R Fokkens, Michel Meijer, Melissa Boerrigter, Corien C Verschuuren-Bemelmans, Berry P H Kremer, Bart P van de Warrenburg, Dennis Dooijes, Erik Boddeke, Richard J Sinke, Dineke S Verbeek   +11 more
doaj   +7 more sources

Multi-Functional Optical Spectrum Analysis Using Multi-Task Cascaded Neural Networks

IEEE Photonics Journal, 2022
In the optical communication systems, the optical spectrum (OS) provides useful informations for optical performance monitoring and optical link diagnosis.
Haoyu Wang, Sheng Cui, Changjian Ke, Chenglong Yu, Zi Liang, Deming Liu   +5 more
doaj   +2 more sources

Functional singular spectrum analysis [PDF]

Stat, 2021
In this paper, we develop a new extension of the singular spectrum analysis (SSA) called functional SSA to analyze functional time series. The new methodology is constructed by integrating ideas from functional data analysis and univariate SSA. Specifically, we introduce a trajectory operator in the functional world, which is equivalent to the ...
Hossein Haghbin, Seyed Morteza Najibi, Rahim Mahmoudvand, Jordan Trinka, Mehdi Maadooliat   +4 more
openaire   +3 more sources

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, Hossein Haghbin, Han Lin Shang, Mehdi Maadooliat   +3 more
openaire   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

Autism spectrum disorders: a meta-analysis of executive function [PDF]

Molecular Psychiatry, 2017
Evidence of executive dysfunction in autism spectrum disorders (ASD) across development remains mixed and establishing its role is critical for guiding diagnosis and intervention. The primary objectives of this meta-analysis is to analyse executive function (EF) performance in ASD, the fractionation across EF subdomains, the clinical utility of EF ...
Demetriou, EA, Lampit, A, Quintana, DS, Naismith, SL, Song, YJC, Pye, JE, Hickie, I, Guastella, AJ   +7 more
openaire   +3 more sources

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
doaj   +1 more source

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
doaj   +1 more source