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@@ -7,4 +7,10 @@ Humans are subject to a variety of cognitive biases, such as the framing-effect
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Behavioral and neural data (MEG - MN5) of a study comparing excitatory and sham stimulation and their influence on behavioral and neural correlates of gambling. The neural data can be read with the free emegs software (Peyk, De Cesarei & Junghöfer, 2011). The data is in the so-called source space, which means that the underlying sources of the MEG signal were estimated. For this purpose the L2-Minimum-Norm estimation was used (Hämäläinen and Ilmoniemi, 1994).
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-The behavioral data can be analyzed with the provided R-script. Choice behavior depends here on the risk-of-losing, the frame and the stimulation. Furthermore trial number has an important influence on decision-making as it indicates learning.
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+We provided three datasets: The choice data set contains the independent variables frame (gain frame = ...10.100.MN5, ...11.100.MN5, loss frame = ...12.100.MN5, ...13.100.MN5), stimulation (sham = ...100.MN5, excitatory = ...200.MN5) and decision (keep = ...10.100.MN5, ...12.100.MN5, gamble = ...11.100.MN5, ...13.100.MN5).
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+The risk data set contains the independent variables risk (20% = ...20.100.MN5, 40% = ...40.100.MN5, 60% = ...60.100.MN5, 80% = ...80.100.MN5) and stimulation (sham = ...100.MN5, excitatory = ...200.MN5).
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+The feedback data set contains the independent variables outcome (gain (keep) = ...55.100.MN5, gain (gamble) = ...52.100.MN5, loss (keep) = ...56.100.MN5, loss (gamble) = ...51.100.MN5), decision (keep = ...55.100.MN5, ...56.100.MN5, gamble = ...51.100.MN5, ...52.100.MN5) and stimulation (sham = ...100.MN5, excitatory = ...200.MN5).
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+The behavioral data can be analyzed with the provided R-script. Choice behavior depends here on the risk-of-losing, the frame and the stimulation. Furthermore trial number has an important influence on decision-making as it indicates learning. The R-script will recode all the independent variables into a meaningful form. Regarding the Choice: 1 = gamble, 0 = keep.
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