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<p>Dear Fieldtrip Community,</p>
<p>I am using NAI normalization for my resting state MEG data. It does something to my data<span> that I don't quite understand😳</span>.
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<p>Before normalization I have the average power of groupA > groupB (also true for the sensor data). After normalization the pattern turns, while the variance of groupA decreases and the variance in groupB increases. I am not exactly sure what that means. Is
the change in power completely explainable by the higher variance of groupA? Are there any limitations of using NAI? Is there a situation where I should not use it?
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<p>I am especially wondering about the variance since during my whole analysis it was quite clear that this a a major difference between the groups. </p>
<p>I am posting this question since I was not able to figure out how exactly the NAI is estimated during source reconstruction.
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<p>Does anyone have more information about the computation of NAI?</p>
<p>Thanks so much</p>
<p>Nina<br>
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