'Slice timing' presentation slideshows

1. Preprocessing of FMRI Data

1. Preprocessing of FMRI Data. fMRI Graduate Course October 22, 2003. What is preprocessing?. Correcting for non-task-related variability in experimental data Usually done without consideration of experimental design; thus, pre -analysis

1.44k views • 99 slides

18 th February 2009 Stephanie Burnett Christian Lambert

18 th February 2009 Stephanie Burnett Christian Lambert. Methods for Dummies 2009. Dynamic Causal Modelling Part I: Theory. Psychophysiological interactions (PPI) and structural equation modelling (SEM) Functional vs. effective connectivity

1.14k views • 45 slides

18 th February 2009 Stephanie Burnett Christian Lambert

18 th February 2009 Stephanie Burnett Christian Lambert. Methods for Dummies 2009. Dynamic Causal Modelling Part I: Theory. Psychophysiological interactions (PPI) and structural equation modelling (SEM) Functional vs. effective connectivity

527 views • 45 slides

Preprocessing of FMRI Data

Preprocessing of FMRI Data. fMRI Graduate Course October 23, 2002. What is preprocessing?. Correcting for non-task-related variability in experimental data Usually done without consideration of experimental design; thus, pre -analysis

641 views • 42 slides

Dynamic Causal Modelling (DCM)

Dynamic Causal Modelling (DCM). Marta I. Garrido migarrido@ucla.edu. Thanks to: Karl J. Friston, Klaas E. Stephan, Andre C. Marreiros, Stefan J. Kiebel, CC Chen, Rosalyn Moran, Lee Harrison, and James M. Kilner. Motivation. Functional specialisation. Functional integration.

484 views • 29 slides

Dynamic Causal Modelling (DCM)

Dynamic Causal Modelling (DCM). Marta I. Garrido migarrido@ucla.edu. Thanks to: Karl J. Friston, Klaas E. Stephan, Andre C. Marreiros, Stefan J. Kiebel, CC Chen, Rosalyn Moran, Lee Harrison, and James M. Kilner. Motivation. Functional specialisation. Functional integration.

427 views • 29 slides

Dynamic Causal Modelling (DCM) for fMRI

Dynamic Causal Modelling (DCM) for fMRI. Andre Marreiros. Wellcome Trust Centre for Neuroimaging University College London. Overview. Dynamic Causal Modelling of fMRI. Definitions & motivation. The neuronal model (bilinear dynamics) The Haemodynamic model. Estimation: Bayesian framework.

302 views • 29 slides

Dynamic Causal Modelling (DCM) for fMRI

Dynamic Causal Modelling (DCM) for fMRI. Andre Marreiros. Wellcome Trust Centre for Neuroimaging University College London. Thanks to. Stefan Kiebel Lee Harrison Klaas Stephan Karl Friston. Overview. Dynamic Causal Modelling of fMRI. Definitions & motivation.

321 views • 27 slides

Co-registration and Spatial Normalisation

Co-registration and Spatial Normalisation. Martin Chadwick and Catherine Sebastian. Statistical Parametric Map. Design matrix. fMRI time-series. kernel. Motion correction. Smoothing. General Linear Model. (Co-registration and) Spatial normalisation. Parameter Estimates. Standard

901 views • 26 slides

BrainStat - the details

BrainStat - the details. Jonathan Taylor, Stanford Keith Worsley, McGill. What is BrainStat?. Based on FMRISTAT (Matlab) Written in Python (open source) Part of BrainPy (Poster 763 T-AM) Concentrates on statistics Analyses both magnitudes and delays (latencies)

353 views • 23 slides

Image Preprocessing for Idiots

Image Preprocessing for Idiots. Realignment, slice timing, normalisation, optimisation, @#!$%... Elliot Freeman, ICN. Why preprocess?. Goals: Track patterns of activity over time Localise patterns re. anatomy Compare activity between subjects Problems Head movements Different modalities

266 views • 23 slides

Hands-On Session: Regression Analysis

400 views • 18 slides