caa a22 4500 463244885 CHVBK 20180405153323.0 cr unu---uuuuu 170326e20070701xx s 000 0 eng 10.1007/s00422-007-0154-4 doi (NATIONALLICENCE)springer-10.1007/s00422-007-0154-4 DWT-CEM: an algorithm for scale-temporal clustering in fMRI [Elektronische Daten] [João Sato, André Fujita, Edson Amaro Jr, Janaina Miranda, Pedro Morettin, Michal Brammer] The number of studies using functional magnetic resonance imaging (fMRI) has grown very rapidly since the first description of the technique in the early 1990s. Most published studies have utilized data analysis methods based on voxel-wise application of general linear models (GLM). On the other hand, temporal clustering analysis (TCA) focuses on the identification of relationships between cortical areas by measuring temporal common properties. In its most general form, TCA is sensitive to the low signal-to-noise ratio of BOLD and is dependent on subjective choices of filtering parameters. In this paper, we introduce a method for wavelet-based clustering of time-series data and show that it may be useful in data sets with low signal-to-noise ratios, allowing the automatic selection of the optimum number of clusters. We also provide examples of the technique applied to simulated and real fMRI datasets. Springer-Verlag, 2007 Sato João Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão, 1010, Cidade Universitria, CEP 05508 −090, São Paulo, S.P., Brazil aut Fujita André Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão, 1010, Cidade Universitria, CEP 05508 −090, São Paulo, S.P., Brazil aut Amaro Jr Edson LIM44-NIF, Department of Radiology, University of São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, 3o. andar, Cerqueira César, CEP 05403-001, São Paulo, S.P., Brazil aut Miranda Janaina Brain Image Analysis Unit, Institute of Psychiatry, King's College, London, De Crespigny Park, SE5 8AF, London, UK aut Morettin Pedro Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão, 1010, Cidade Universitria, CEP 05508 −090, São Paulo, S.P., Brazil aut Brammer Michal Brain Image Analysis Unit, Institute of Psychiatry, King's College, London, De Crespigny Park, SE5 8AF, London, UK aut Biological Cybernetics Springer-Verlag 97/1(2007-07-01), 33-45 0340-1200 97:1<33 2007 97 422 https://doi.org/10.1007/s00422-007-0154-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00422-007-0154-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sato João Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão, 1010, Cidade Universitria, CEP 05508 −090, São Paulo, S.P., Brazil aut NATIONALLICENCE 700 1- Fujita André Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão, 1010, Cidade Universitria, CEP 05508 −090, São Paulo, S.P., Brazil aut NATIONALLICENCE 700 1- Amaro Jr Edson LIM44-NIF, Department of Radiology, University of São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, 3o. andar, Cerqueira César, CEP 05403-001, São Paulo, S.P., Brazil aut NATIONALLICENCE 700 1- Miranda Janaina Brain Image Analysis Unit, Institute of Psychiatry, King's College, London, De Crespigny Park, SE5 8AF, London, UK aut NATIONALLICENCE 700 1- Morettin Pedro Institute of Mathematics and Statistics, University of São Paulo, Rua do Matão, 1010, Cidade Universitria, CEP 05508 −090, São Paulo, S.P., Brazil aut NATIONALLICENCE 700 1- Brammer Michal Brain Image Analysis Unit, Institute of Psychiatry, King's College, London, De Crespigny Park, SE5 8AF, London, UK aut NATIONALLICENCE 773 0- Biological Cybernetics Springer-Verlag 97/1(2007-07-01), 33-45 0340-1200 97:1<33 2007 97 422 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer