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121“…To identify functional networks supporting working memory processes, we used independent component analysis (ICA) decomposition of the fMRI data. Compared to younger adults, older adults showed a larger neural (BOLD) response in the more complex (2-back) than in the baseline (0-back) task condition, in the ventral lateral prefrontal cortex (VLPFC) and in the right fronto-parietal network (FPN). …”
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122por Kaesemann, Philipp, Thomalla, Götz, Cheng, Bastian, Treszl, Andras, Fiehler, Jens, Forkert, Nils Daniel“…Purpose: The aim of this study was to investigate the impact of a coexisting internal carotid artery (ICA) stenosis on lesion volumes as well as diffusion and perfusion parameters in acute ischemic stroke resulting from middle cerebral artery (MCA) occlusion. …”
Publicado 2014
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123“…ICA addresses a critical need for knowledge translation around complex interventions to support policy decisions and evidence implementation.…”
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124por Cunha, Larissa D., Ribeiro, Juliana M., Fernandes, Talita D., Massis, Liliana M., Khoo, Chen Ai, Moffatt, Jennifer H., Newton, Hayley J., Roy, Craig R., Zamboni, Dario S.“…Expression of IcaA in L. pneumophila inhibited the caspase-11 activation in macrophages. …”
Publicado 2015
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125“…In recent works using MEG/EEG and fMRI data, temporal ICA analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. …”
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126por Du, Yuhui, Lin, Dongdong, Yu, Qingbao, Sui, Jing, Chen, Jiayu, Rachakonda, Srinivas, Adali, Tulay, Calhoun, Vince D.“…Results from simulations support that GIG-ICA showed better recovery accuracy of both components and time courses than IVA for those subject-common sources, and IVA outperformed GIG-ICA in component and time course estimation for the subject-unique sources. …”
Publicado 2017
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127“…However, the impact of experimental design choices on jICA performance has not been systematically studied. …”
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129“…Icariin (ICA) is a major flavonoid that contains the active compound Epimedii Folium. …”
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130por Martinek, Radek, Vanus, Jan, Nedoma, Jan, Fridrich, Michael, Frnda, Jaroslav, Kawala-Sterniuk, Aleksandra“…In the article, the least mean squares algorithm (LMS) and independent component analysis (ICA) are used for additive noise canceling from the speech signal measured in a real SH environment. …”
Publicado 2020
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133por Cui, Rongrong, Yan, Long, Kang, Kaijiang, Yang, Ming, Yu, Ying, Mo, Dapeng, Gao, Feng, Wang, Yongjun, Lou, Xin, Miao, Zhongrong, Ma, Ning“…Background and Purpose: The Enterprise stent has been used for treating intracranial atherosclerotic stenosis (ICAS), but its long-term outcome remains unclear. …”
Publicado 2021
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134“…Independent component analysis (ICA) is a multivariate approach that has been widely used in analyzing brain imaging data. …”
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135por Lin, Shih-Lin“…This paper proposes a new method called independent component analysis–variational mode decomposition (ICA-VMD), which combines ICA and VMD. The purpose is to study the application of ICA-VMD in low signal-to-noise ratio (SNR) signal processing and data analysis. …”
Publicado 2021
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136por Treacher, Alex H., Garg, Prabhat, Davenport, Elizabeth, Godwin, Ryan, Proskovec, Amy, Bezerra, Leonardo Guimaraes, Murugesan, Gowtham, Wagner, Ben, Whitlow, Christopher T., Stitzel, Joel D., Maldjian, Joseph A., Montillo, Albert A.“…First, using a data driven, multivariate decomposition approach based on Independent Component Analysis (ICA), a highly accurate artifact classifier is constructed as an amalgam of deep 1-D and 2-D Convolutional Neural Networks (CNNs) to automate the identification and removal of ubiquitous whole brain artifacts including eye-blink, saccade, and cardiac artifacts. …”
Publicado 2021
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137por Hernández, David, Serrano, Elena, Molins, Gemma, Zarco, Federico, Chirife, Oscar, Werner, Mariano, Lara, Blanca, Ramos, Anna, Llull, Laura, Requena, Manuel, Cuevas, Marta de Dios las, Remollo, Sebastián, Piñana, Carlos, López-Rueda, Antonio“…The purpose of this study is to evaluate the best endovascular approach (aspiration or stent-retriever) and the impact of stent retriever size and length on clinical and angiographic outcomes in patients with acute intracranial ICA occlusion. We conducted a retrospective analysis of a prospective database of consecutive patients with acute intracranial ICA occlusion undergoing endovascular treatment in four Comprehensive Stroke Center between June-2019 and December-2020. …”
Publicado 2022
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138por Kawasaki, Eiji, Jinnouchi, Hideaki, Maeda, Yasutaka, Okada, Akira, Ito, Yoshihisa, Kawai, Koichi“…AIM/INTRODUCTION: This study aimed to investigate the clinical utility of 3 Screen ICA ELISA in identifying immune‐mediated type 1 diabetes in Japanese subjects. …”
Publicado 2023
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139por Trajkovski, Mirko, Mziaut, Hassan, Altkrüger, Anke, Ouwendijk, Joke, Knoch, Klaus-Peter, Müller, Stefan, Solimena, Michele“…Here, we show that exocytosis of SGs and insertion of ICA512 in the plasma membrane promotes the Ca(2+)-dependent cleavage of ICA512 cytoplasmic domain by μ-calpain. …”
Publicado 2004
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140por Kelly, Robert E., Wang, Zhishun, Alexopoulos, George S., Gunning, Faith M., Murphy, Christopher F., Morimoto, Sarah Shizuko, Kanellopoulos, Dora, Jia, Zhiru, Lim, Kelvin O., Hoptman, Matthew J.“…Brain functional connectivity (FC) is often assessed from fMRI data using seed-based methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; or using multivariate methods, such as independent component analysis (ICA). ICA is a useful data-driven tool, but reproducibility issues complicate group inferences based on FC maps derived with ICA. …”
Publicado 2010
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