![]() ![]() For detail, see a technical report PDF.įsl_regfilt - command-line tool for removing regressors from data (melodic denoising) For detail, see a technical report on TICA PDF.Ī paper investigating resting-state connectivity using independent component analysis has been published in Philosophical Transactions of the Royal Society. For detail, see a technical report on MELODIC PDF.Ī paper on Tensor ICA for multi-session and multi-subject analysis has been published in NeuroImage. MELODIC can pick out different activation and artefactual components without any explicit time series model being specified.Ī paper on MELODIC Probabilistic ICA (PICA) has been published in IEEE TMI. ![]() For ICA group analysis, MELODIC uses either Tensorial Independent Component Analysis (TICA, where data is decomposed into spatial maps, time courses and subject/session modes) or a simpler temporal concatenation approach. MELODIC ( Multivariate Exploratory Linear Optimized Decomposition into Independent Components ) 3.0 uses Independent Component Analysis to decompose a single or multiple 4D data sets into different spatial and temporal components. Using melodic for just doing mixture-modelling. ![]()
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