Related Experiment Video
Updated: Sep 10, 2025
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Protocol for extracting and evaluating activity distributions in rat electrocorticograms with principal component
Astrid Mellbin1, Udaya Rongala1, Fredrik Bengtsson1
1Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Biomedical Centre, Lund University, SE-223 62 Lund, Sweden.
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Principal component analysis (PCA) and k-nearest neighbor (kNN) can be applied to extract and compare activity distributions from electrocorticogram (ECoG) signals across recorded neural activity. Here, we present a protocol for recording ECoG activity from the neocortex of rats and applying PCA and kNN on the recorded data. This protocol allows for comparison between different types of cortical activity in a multidimensional space. For complete details on the use and execution of this protocol, please refer to Mellbin et al.1.
