Improving Electroencephalograph Probe Placement with Digital Signal ProcessingImproving Electroencephalograph Probe Placement with Digital Signal Processing
MetadataShow full item record
Theta waves (theta), sharp wave ripples (SWRs), and spikes are common waveforms that appear in local field potentials (LFPs) within the rodent brain. LFPs are collected using an electroencephalogram (EEG) probe in vivo, while a rodent navigates a virtual reality (VR) environment. Prior to experimentation and data collection, the probe must be positioned into the CA1 region of the hippocampus. Current probe placement techniques rely on manual interpretation of waveform data to predict probe proximity to the hippocampus, which can be imprecise. Improper placement of an EEG probe can cause damage to rodent neurons and create experiment delays. To mitigate these risks, we developed a MATLAB script that assesses behavioral changes in theta, spikes, and SWRs from raw LFPs as a functions of probe depth to automatically predict correct termination location within the rodent hippocampus. We show the success of the depth prediction algorithm in n = 6 different trials against manual placement by showing no significant difference (p = 0.747, unpaired two-tailed t-test) between actual and predicted depth values.