A statistical method for analyzing and comparing spatiotemporal cortical\n activation patterns

2016/11/23 by Patrick Krauß, Krauss, Patrick, Claus Metzner +9
Computer Science · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)

paper · pdf · doi:10.48550/arxiv.1611.07677

openalex publication_date 2016/11/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present a new statistical method to analyze multichannel steady-state\nlocal field potentials (LFP) recorded within different sensory cortices of\ndifferent rodent species. Our spatiotemporal multi-dimensional cluster\nstatistics (MCS) method enables statistical analyzing and comparing clusters of\ndata points in n-dimensional space. We demonstrate that using this approach\nstimulus-specific attractor-like spatiotemporal activity patterns can be\ndetected and be significantly different from each other during stimulation with\nlong-lasting stimuli. Our method may be applied to other types of multichannel\nneuronal data, like EEG, MEG or spiking responses and used for the development\nof new read-out algorithms of brain activity and by that opens new perspectives\nfor the development of brain-computer interfaces.\n

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