Hi all, I am working with long term potentiation (LTP) induction in hippocampal brain slices.(adsbygoogle = window.adsbygoogle || []).push({});

I am wondering about how exactly to statistically analyze the data I am presented with.

It looks like [URL]http://hmg.oxfordjournals.org/content/19/4/634/F5.small.gif[/URL]

Where each line of points represents one sample subject (control, and sample with the target property we're investigating). My question is, is that my boss thinks it's acceptable to just pick a set of time points, let's say the 3-3.5 hr, and compare that with the two groups in a T-Test. I wasn't sure about that, but that seems to be the norm. I was thinking some sort of regression or something but again I'm not sure. can anyone shed some light on what sort of tests we might be able to use for this?

To elaborate on the test, we stimulate slices with current, and we measure their response, and depending upon the strength of the returning signal, more or less LTP has been achieved. So for instance, if we're investigating the gene knockout of a particular sample and whether or not that limits LTP, that might be the lower set of points

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# Performing Statistics on Neuro-electrophysiology Data

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