Results 51 to 60 of about 265,367 (299)

Reperfusion‐Dependent Outcomes After Endovascular Thrombectomy Stratified by NIHSS‐ASPECTS Clinical‐Core Mismatch

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This analysis evaluates the effect of successful reperfusion on functional outcomes after MT, stratified by admission National Institutes of Health Stroke Scale (NIHSS) and Alberta Stroke Program Early CT Score (ASPECTS) as surrogates for clinical‐core mismatch, using multicenter registry data.
Felix Schlicht, Lukas Meyer, Gabriel Broocks, Matthias Bechstein, Christian Thaler, Christian Heitkamp, Laurens Winkelmeier, Vincent Geest, Alexander Heitkamp, Maximilian Jungnitz, Gregor Peter, Luca Meucci, Tobias Faizy, Jawed Nawabi, Caspar Brekenfeld, Fabian Flottmann, Maximilian Schell, Alexandros Hadjilaou, Uta Hanning, Götz Thomalla, Jens Fiehler, Susanne Gellißen, Helge C. Kniep, for the German Stroke Registry Endovascular Treatment, (GSR‐ET) Alexander Nave, Anna Alegiani, Annerose Mengel, Arno Reich, Bernd Eckert, Charlotte Pietrock, Christian Nolte, Eberhard Siebert, Fabian Flottmann, Fee Keil, Franziska Dorn, Gabor Petzold, Götz Thomalla, Hanna Zimmermann, Jan Borggrefe, Jan Hendrik Schäfer, Jens Fiehler, Joachim Röther, Klaus Gröschel, Lars Kellert, Mario Abruscato, Maximilian Schell, Omid Nikoubashman, Peter Schellinger, Silke Wunderlich, Steffen Tiedt, Sven Thonke, Timo Uphaus, Tobias Boeckh‐Behrens, Ulrike Ernemann   +53 more
wiley   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Improving the performance of independent component regression

Journal of Algorithms & Computational Technology
In this study, we aim to comprehensively explore the application of principal component analysis (PCA) and independent component analysis (ICA), considering their practical utility.
Mahla Ghasemnejad, Alireza Arabpour, Ayyub Sheikhi   +2 more
doaj   +1 more source

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, Ching-Wen Yang, Sek-Kwong Poon, Clayton Chi-Chang Chen, Cheng-Chieh Chen, Jyh-Wen Chai, Hsian-Min Chen, Yen-Chieh Ouyang   +7 more
doaj   +1 more source

Complex Random Vectors and ICA Models: Identifiability, Uniqueness and Separability

, 2005
In this paper the conditions for identifiability, separability and uniqueness of linear complex valued independent component analysis (ICA) models are established.
Jan Eriksson Member, Senior Member, Visa Koivunen   +2 more
core   +2 more sources

IV Thrombolysis Facilitates Interventional Reperfusion in Non‐Cardioembolic but Not Cardioembolic Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Intravenous thrombolysis (IVT) before thrombectomy for ischemic stroke may alter clot structure and procedural performance. We investigated how IVT relates to thrombectomy metrics across stroke etiologies. Methods We performed a time‐to‐event analysis of consecutive patients with anterior circulation large vessel occlusion (acLVO ...
Annahita Sedghi, Daniel P. O. Kaiser, Martin Arndt, Norma J. Diel, Erik Simon, Witold H. Polanski, Volker Puetz, Hagen B. Huttner, Timo Siepmann   +8 more
wiley   +1 more source

A review of independent component analysis application to microarray gene expression data

BioTechniques, 2008
Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. As a technique of higher-order statistical analysis, ICA is capable of extracting biologically relevant gene ...
Wei Kong, Charles R. Vanderburg, Hiromi Gunshin, Jack T. Rogers, Xudong Huang   +4 more
doaj   +1 more source

High‐Resolution MRI Revealed Different Etiology‐Specific Associations With Cerebral Infarction in Adult Moyamoya Vasculopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han, Jiachun Pan, Yuehui Hong, Xiaoyuan Fan, Ming Yao, Lixin Zhou, Yicheng Zhu, Feng Feng, Jun Ni   +8 more
wiley   +1 more source

Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices

Frontiers in Human Neuroscience, 2012
Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual ...
Timothy eMeier, Joseph eWildenberg, Joseph eWildenberg, Jingyu eLiu, Jingyu eLiu, Jiayu eChen, Jiayu eChen, Vince eCalhoun, Vince eCalhoun, Bharat eBiswal, Mary eMeyerand, Mary eMeyerand, Mary eMeyerand, Rasmus eBirn, Rasmus eBirn, Rasmus eBirn, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran, Vivek ePrabhakaran   +19 more
doaj   +1 more source

Parallel group independent component analysis for massive fMRI data sets. [PDF]

PLoS ONE, 2017
Independent component analysis (ICA) is widely used in the field of functional neuroimaging to decompose data into spatio-temporal patterns of co-activation.
Shaojie Chen, Lei Huang, Huitong Qiu, Mary Beth Nebel, Stewart H Mostofsky, James J Pekar, Martin A Lindquist, Ani Eloyan, Brian S Caffo   +8 more
doaj   +1 more source