[PDF] Top 20 Clusterwise Independent Component Analysis (C-ICA) for multi-subject fMRI data: A novel unsupervised method for assessing differences across subjects (groups) in functional connectivity patterns
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Clusterwise Independent Component Analysis (C-ICA) for multi-subject fMRI data: A novel unsupervised method for assessing differences across subjects (groups) in functional connectivity patterns
... Including rational starts in the multi-start procedure. As is true for all clustering techniques, the C-ICA algorithm may end up in a local optimum of the C-ICA loss function, which may produce a suboptimal solution and ... See full document
55
Functional Connectivity during Resting State Functional MR Imaging: Study of the Correspondence between Independent Component Analysis and Region of Interest−Based Methods
... the component maps from the time courses extracted by ...ICA component map, negative for regions displaying opposite correlations, and near zero if either or both regions of inter- est were uncorrelated ... See full document
8
Multiparametric MRI changes persist beyond recovery in concussed adolescent hockey players
... single-session independent compo- nent analysis and automatic dimensionality ...low-resolution functional data to the brain-extracted anatomic image and then to a 2-mm isotropic Montreal Neurologic ... See full document
15
Heritability of Resting State EEG Functional Connectivity Patterns
... a component of this ...nine independent poly- morphic DNA markers using the AmpFLSTR Profile PCR Amplification Kit and cross-checking with ABO, MN and Rh blood groups and/or phenotypic ... See full document
8
Patterns of functional connectivity in an aging population: The Rotterdam Study
... applied independent component analysis (ICA) to the preprocessed single-subject data, using automatic dimensionality esti- mation, as implemented in FSL's MELODIC ... See full document
13
Cortical reorganisation of cerebral networks after childhood stroke: impact on outcome
... fMRI connectivity toolbox 14.n [63] and within the framework of Independent Component Analysis (ICA) using the Group ICA Toolbox (GIFT software) [64] in order to compute the feature of the ... See full document
7
Characterizing functional connectivity patterns during saliva swallows in different head positions
... supply, all signals were filtered with an elliptical IIR notch filter with cut-off frequencies at 58 Hz to 62 Hz. Individual swallows were identified according to the segmentation points provided by the accelerometer ... See full document
11
Emotion Representation in Whole brain Functional Connectivity Patterns: An fMRI Study
... the functional connectivity was carried out with CONN toolbox ...whole-brain functional connectivity estimation ...preprocessed functional data were used to construct the ... See full document
5
Comparison of Independent Component Analysis and Conventional Hypothesis Driven Analysis for Clinical Functional MR Image Processing
... the component did not merely represent a random series of ...ranked independent components for mapping on the basis of their z scores and then selected them on the basis of their spatial ... See full document
10
Riedl, Valentin (2012): Intrinsic functional brain networks in health and disease. Dissertation, LMU München: Graduate School of Systemic Neurosciences (GSN)
... cerebral connectivity. Assessing the functional connectivity at rest, recent functional MRI (fMRI) studies reported on the existence of resting-state networks ...regional patterns ... See full document
85
The role of FKBP5 genetics and epigenetics in mediating the effects of early life adversity on emotional processing brain regions in major depressive disorder
... gPPI analysis testing for group*trial type*valence interactions, showing each region of interest (spheres) that showed a significant interaction effect with other brain regions (clusters) (p< 0 ... See full document
275
Semi-Parametric Models for Independent Component Analysis.
... Principal Component Analysis, Projection Pursuit and Independent Component Analysis ...of independent hidden ...the independent hidden ... See full document
95
Testing a longitudinal compensation model in premanifest Huntington's disease
... conceivable patterns of compensation such as those that are only ap- parent under certain cognitive conditions and that other models of reserve and compensation as discussed in the healthy ageing literature may be ... See full document
11
Iris Recognition Using Independent Component Analysis
... using independent component analysis can produce spatially global ...use independent component analysis to generate optimal basis elements which could represent iris signals ... See full document
5
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
... In this paper we introduce a new underlying probabilistic model for prin- cipal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a mapping from a latent ... See full document
8
Dependence, Correlation and Gaussianity in Independent Component Analysis
... This paper is organized as follows. In Section 1, we recall the traditional definitions related to the information-theoretic objectives of ICA. In Section 2, we consider the problem of approximating the distribution of a ... See full document
27
Acoustic classification using independent component analysis
... principal component identifies the vector that will account for the most variance in the data, and the second component accounting for the most variance in the data in the second orthogonal ... See full document
93
Statistical Dynamics of On-line Independent Component Analysis
... asymptotic analysis by considering the limit of large system ...principal component analysis (PCA) algorithm (Biehl, 1994, Biehl and Schl ¨osser, 1998) have been studied in this ... See full document
18
Facial Expression Recognition Via Using Ica And Pca Technique
... discriminant analysis (LDA) and generalized discriminant analysis ...include analysis of facial motion through estimation of optical flow; holistic spatial analysis, such as independent ... See full document
11
<p>Autonomic Nervous System Is Related to Inhibitory and Control Function Through Functional Inter-Region Connectivities of OFC in Major Depression</p>
... correlation analysis to calculate the func- tional connection of the other 89 brain regions in the AAL90 template both under “ go ” task and “ no-go ” ...sample functional map was entered into a two-tailed ... See full document
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