Statistical Parametric Mapping

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Presentation transcript:

Statistical Parametric Mapping Will Penny Wellcome Trust Centre for Neuroimaging, University College London, UK CMIC & Stat Sci, UCL, Oct 15 2008

Statistical Parametric Mapping Statistical parametric map (SPM) Image time-series Kernel Design matrix Realignment Smoothing General linear model Statistical inference Random field theory Normalisation p <0.05 Template Parameter estimates

Visual Working Memory + + + ENCODING MAINTENANCE PROBE 1) No retention (control condition): Discrimination task + 2) Retention I (Easy condition): Non-configural task + 3) Retention II (Hard condition): Configural task + 1 sec 3 sec 5 sec 5 sec ENCODING MAINTENANCE PROBE

MEG activity during delay period in 4-8Hz band (theta) predicts memory performance

Weakly Coupled Oscillators

Hippocampal source Occipital source Frontal source Hipp Occ IFG 1 2 3 4 5 6 7 Master- Slave Partial Mutual Entrainment Total Mutual Entrainment

Bayesian Model Comparison LogEv Model

Memory 0.99 0.65 0.13 f=5.7Hz f=5.7Hz IFG Occ 0.00 0.03 0.03 0.17 Memory Hipp f=6.0Hz 0.03 http://www.fil.ion.ucl.ac.uk/~wpenny/