Dear SPM team,
I am working with intraoperative subthalamic nucleus (STN) microelectrode recordings obtained from parkinsonian patients. Using Moran's (2008, in 'Brain') background extraction algorithm, which removes spikes from a spike train, I am working with (spikeless) background activity signals and I would like to perform multitaper TF analysis and then follow up with averaging (the recordings were obtained while patients performed a motor task while kinematic aspects of the movement were being registered) relative to a total of 9 triggers. The sampling frequency of my signals is ~45kHz. Are these signals suitable for the SPM suite? That is to say, can I perform this analysis as if they were LFP signals, or is there a fundamental difference that I'm missing that makes the background signals (extracted from single unit recordings) unsuitable for SPM?
In case background signals are fine: could you point me to the function that yields grand averages? I would like to first average all STN recordings from each patient relative to each of the 9 triggers, and afterwards average over all patients relative to each trigger.
Best regards,
Uri Ramirez, PhD candidate
Neurologische Klinik
Würzburg, Germany
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