Statistical Parametric Mapping

Präsentation zum Thema: "Statistical Parametric Mapping"—  Präsentation transkript:

1 Statistical Parametric Mapping
Auswertung SPM Statistical Parametric Mapping

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4 Atlas von Talairach & Tournoux Statistic Parametric Mapping
Auswertung allgemein: Realignment = Angleichung der einzelnen Bilder an den ersten Scan (intraindividuelle Bewegungskorrektur) Normalisierung = Transfromierung der Realing-Bilder in den Stereotaktischen Raum (z.B. Talairach & Tournoux; interindividuelle Korrektur) Smoothing = Filtern Statistik: Regression, Kontraste (Varianzanalyse...) oder t-tests Korrektur für multiple Vergleiche über Größe der Pixelcluster

5 + Object Memory Condition Object Control Condition
500 msec 1500 msec 3000 msec Object Memory Condition Object Control Condition Smith & Jonides 1997 time

6 realignment & motion correction Statistical Parametric Map
image data parameter estimates design matrix kernel realignment & motion correction General Linear Model model fitting statistic image random field theory smoothing normalisation Statistical Parametric Map anatomical reference corrected p-values

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8 Lineare Transformationen

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10 Nicht-lineare Transformationen

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25 realignment & motion correction Statistical Parametric Map
image data parameter estimates design matrix kernel realignment & motion correction General Linear Model model fitting statistic image random field theory smoothing normalisation Statistical Parametric Map anatomical reference corrected p-values

26 In fact the Gaussian values for 12 13 14 15 and 16 are: 0. 1174 0
and the data values for the same points are: We then multiply the Gaussian values by the values of our data, and sum the results to get the new smoothed value for point 14. Thus, the new value for point 14 is * * 0.2349* * *

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28 realignment & motion correction Statistical Parametric Map
image data parameter estimates design matrix kernel realignment & motion correction General Linear Model model fitting statistic image random field theory smoothing normalisation Statistical Parametric Map anatomical reference corrected p-values

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33 realignment & motion correction Statistical Parametric Map
image data parameter estimates design matrix kernel realignment & motion correction General Linear Model model fitting statistic image random field theory smoothing normalisation Statistical Parametric Map anatomical reference corrected p-values

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35 1st level 2nd level analyse
1st level analyse: Entweder eine VP oder alle VPn mit allen Bildern in eine Analyse (DF!) 2nd level analyse: Jede VP geht mit einem Bild in die Analyse ein (reduzierte DF!). Korrigierte P Werte? p uncorrected: 0.001 p corrected: (FWE / FDR)

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