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The temperature dependence of the mean correlation time shows an Arrhenius behaviour in the temperature range from 223 to 383 K.
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Model 1 (M1) is a negative exponential distribution:
Considering all possible pairs of routes we have measured a mean correlation between their time series equal to (mbox{Pearson's } r=0.96).
In this case, the mean correlation value between all time series pairs was equal to a (mbox{Pearson's } r=0.57).
Within our time resolution, the mean correlation was the highest at zero lag time.
The mean correlation coefficient between percentage stimulation time over each 10 seconds and total duration of DBS up to that point was −0.23 across subjects (2-tailed, 1-sample t test, t7 = 3.2, p = 0.01).
In contrast, shorter latency time-to-minimum responses tended to have smaller negative amplitude (mean correlation between minimum amplitude and time-to-minimum amplitude: r = −0.3 ± 0.2).
This is because there was a negative correlation between LFP latency and LFP amplitude (i.e. shorter latency LFPs tended to be higher amplitude; mean correlation between LFP amplitude and LFP time-to-minimum: r = −0.6 ± 0.2), and LFP amplitude was positively correlated with minimum amplitude (Fig. 7A).
This was repeated 1000 times to generate a mean correlation and confidence interval, depicted in blue.
The LQG control algorithm yields a real-time performance of 91.6% mean correlation and 9.2% mean relative error with a standard deviation of ±1.4 and ±1.3 respectively.
The gene-normalized mean correlation between the predicted expression profiles and observed expression profiles over all time points was 0.96.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com