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Statistical Parametric Mapping

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Presentation on theme: "Statistical Parametric Mapping"— Presentation transcript:

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

2 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

3 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

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

5 Weakly Coupled Oscillators

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

7 Bayesian Model Comparison
LogEv Model

8 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


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