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- Title
Analysis of hippocampal local field potentials by diffusion mapped delay coordinates.
- Authors
Gonzalez, D. A.; Peel, J. H.; Pagadala, T.; McHail, D. G.; Cressman, J. R.; Dumas, T. C.
- Abstract
Spatial navigation through novel spaces and to known goal locations recruits multiple integrated structures in the mammalian brain. Within this extended network, the hippocampus enables formation and retrieval of cognitive spatial maps and contributes to decision making at choice points. Exploration and navigation to known goal locations produce synchronous activity of hippocampal neurons resulting in rhythmic oscillation events in local networks. Power of specific oscillatory frequencies and numbers of these events recorded in local field potentials correlate with distinct cognitive aspects of spatial navigation. Typically, oscillatory power in brain circuits is analyzed with Fourier transforms or short-time Fourier methods, which involve assumptions about the signal that are likely not true and fail to succinctly capture potentially informative features. To avoid such assumptions, we applied a method that combines manifold discovery techniques with dynamical systems theory, namely diffusion maps and Takens' time-delay embedding theory, that avoids limitations seen in traditional methods. This method, called diffusion mapped delay coordinates (DMDC), when applied to hippocampal signals recorded from juvenile rats freely navigating a Y-maze, replicates some outcomes seen with standard approaches and identifies age differences in dynamic states that traditional analyses are unable to detect. Thus, DMDC may serve as a suitable complement to more traditional analyses of LFPs recorded from behaving subjects that may enhance information yield.
- Subjects
HIPPOCAMPUS (Brain); FOURIER transforms; NEURAL circuitry; SEPARATION of variables; COGNITIVE maps (Psychology); AGE differences
- Publication
Journal of Computational Neuroscience, 2024, Vol 52, Issue 2, p133
- ISSN
0929-5313
- Publication type
Article
- DOI
10.1007/s10827-024-00870-6