Results 41 to 50 of about 4,584,146 (299)
Independent Component Analysis for Magnetic Resonance Image Analysis
EURASIP Journal on Advances in Signal Processing, 2008 Independent component analysis (ICA) has recently received considerable interest in applications of magnetic resonance (MR) image analysis. However, unlike its applications to functional magnetic resonance imaging (fMRI) where the number ...
San-Kan Lee +7 more
doaj +1 more source
Noisy independent component analysis of autocorrelated components [PDF]
Physical Review E, 2017 We present a new method for the separation of superimposed, independent, auto-correlated components from noisy multi-channel measurement. The presented method simultaneously reconstructs and separates the components, taking all channels into account and thereby increases the effective signal-to-noise ratio considerably, allowing separations even in the
Knollmüller, J., Enßlin, T.
openaire +4 more sources
Detection of functional networks within white matter using independent component analysis
NeuroImage, 2020 Spontaneous fluctuations in MRI signals from gray matter (GM) in the brain are interpreted as originating from variations in neural activity, and their inter-regional correlations may be analyzed to reveal functional connectivity.
Yali Huang +7 more
semanticscholar +1 more source
Frontiers in Human Neuroscience, 2018 Goal: We aimed to identify electroencephalographic (EEG) signal fluctuations within independent components (ICs) that correlate to spontaneous blood oxygenation level dependent (BOLD) activity in regions of the default mode network (DMN) during eyes ...
Marcel Prestel +4 more
doaj +1 more source
Human locomotion-control brain networks detected with independent component analysis [PDF]
Journal of Integrative Neuroscience, 2021 Walking is a fundamental movement skill in humans. However, how the brain controls walking is not fully understood. In this functional magnetic resonance imaging study, the rhythmic, bilaterally alternating ankle movements were used as paradigm to ...
Pengxu Wei +3 more
doaj +1 more source
Consistency of independent component analysis for FMRI
Journal of Neuroscience Methods, 2021 Independent component analysis (ICA) has been widely used for blind source separation in the field of medical imaging. However, despite of previous substantial efforts, the stability of ICA components remains a critical issue which has not been adequately addressed, despite numerous previous efforts.
Zhao, Wei +8 more
openaire +3 more sources
Independent Component Analysis Based on Information Bottleneck
Abstract and Applied Analysis, 2015 The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). In the viewpoint of information theory, we attempt to explain the two classical algorithms of ICA by ...
Qiao Ke +4 more
doaj +1 more source
On Independent Component Analysis with Stochastic Volatility Models
Austrian Journal of Statistics, 2017 Consider a multivariate time series where each component series is assumed to be a linear mixture of latent mutually independent stationary time series.
Markus Matilainen +4 more
doaj +1 more source
Non-independent component analysis
The Annals of StatisticsA seminal result in the ICA literature states that for $AY = \varepsilon$, if the components of $\varepsilon$ are independent and at most one is Gaussian, then $A$ is identified up to sign and permutation of its rows (Comon, 1994). In this paper we study to which extent the independence assumption can be relaxed by replacing it with restrictions on ...
Mesters, Geert, Zwiernik, Piotr
openaire +4 more sources