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	Provedor de dados ArchiMer (1) BJMBR (1) Autor Amaro Jr,E. (1) Cendes,F. (1) Decorbie, N. (1) Decorse, P. (1) Felidj, N. (1) Gam-derouich, S. (1) Gauchotte-lindsay, C. (1) Lamouri, A. (1) Lidgi-guigui, N. (1) Mangeney, C. (1) Rinnert, Emmanuel (1) Rondinoni,C. (1) Salmon,C.E.G. (1) Santos,A.C.dos (1) Solard, J. (1) Tijunelyte, I. (1) Mais... Palavra-chave Independent component analysis (2) Acoustic noise (1) Default-mode network (1) Emerging pollutant (1) Granger causality mapping (1) Molecularly imprinted polymers (1) Paracetamol (1) Resting-state fMRI (1) SERS (1) Sensor (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Text (1) Ano 2020 (1) 2013 (1) País Brazil (1) France (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Effect of scanner acoustic background noise on strict resting-state fMRI BJMBR Rondinoni,C.; Amaro Jr,E.; Cendes,F.; Santos,A.C.dos; Salmon,C.E.G.. Functional MRI (fMRI) resting-state experiments are aimed at identifying brain networks that support basal brain function. Although most investigators consider a ‘resting-state’ fMRI experiment with no specific external stimulation, subjects are unavoidably under heavy acoustic noise produced by the equipment. In the present study, we evaluated the influence of auditory input on the resting-state networks (RSNs). Twenty-two healthy subjects were scanned using two similar echo-planar imaging sequences in the same 3T MRI scanner: a default pulse sequence and a reduced “silent” pulse sequence. Experimental sessions consisted of two consecutive 7-min runs with noise conditions (default or silent) counterbalanced across subjects. A self-organizing group... Tipo: Info:eu-repo/semantics/article Palavras-chave: Resting-state fMRI; Acoustic noise; Default-mode network; Independent component analysis; Granger causality mapping. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2013000400359 Sensing Polymer/Paracetamol Interaction with an Independent Component Analysis-Based SERS-MIP Nanosensor ArchiMer Decorbie, N.; Tijunelyte, I.; Gam-derouich, S.; Solard, J.; Lamouri, A.; Decorse, P.; Felidj, N.; Gauchotte-lindsay, C.; Rinnert, Emmanuel; Mangeney, C.; Lidgi-guigui, N.. In this article, we propose a new strategy to build a sensor for easy handling and rapid analysis on-site. Our sensor is based on the combination of surface-enhanced Raman spectroscopy (SERS) and molecularly imprinted polymers (MIPs). SERS provides a strong sensitivity for the detection of trace molecules while MIPs offer a highly selective and specific recognition platform. The research presented here focuses on the detection of the interaction between a robust ultra-thin layer of MIPs and of paracetamol, the targeted molecule. This drug is an environmental emerging pollutant, i.e., a molecule whose presence and significance have not yet been elucidated, which gives rise to health and environmental concerns. The results are a combined analysis of the SERS... Tipo: Text Palavras-chave: Sensor; SERS; Molecularly imprinted polymers; Emerging pollutant; Paracetamol; Independent component analysis. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00628/73962/73386.pdf Registros recuperados: 2 Primeira ... 1 ... Última

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