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22 March 2021 Analyzing functional connectivity in the brain using cross-correlation analysis of local field potentials
Maitreyee Pharande, Aslam Khan, Vu Pham, Thong Le, Laurie L. Wellman, Richard A. Britten, Larry D. Sanford, Hargsoon Yoon
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Conference Poster
Abstract
Measuring and analyzing local field potential (LFP) signals from basolateral amygdala (BLA), hippocampus (HPC) and medial prefrontal cortex (mPFC) may help understand how they communicate with each other during fear memory formation and extinction. In our research, we have formulated a computationally simple and noise immune instantaneous amplitude cross correlation technique which can deduce lead and lag of LFPs generated in BLA, HPC, and mPFC and the directionality of brain signals exchanged between regions. LFP signals are recorded using depth electrodes in the rat brain and cross correlation analysis is applied to theta wave signals after filtering. We found that rats resilient to traumatic conditions (based on post-stress rapid eye movement sleep (REM)) showed a decrease in LFP signal correlation in REM and non-REM (NREM) sleep cycles between BLA-HPC regions after shock training and one day post shock training compared to vulnerable rats that show stress-induced reductions in REM. It is presumed this difference in neural network behavior may be related to REM sleep differences between resilient and vulnerable rats and may provide clues to help understand how traumatic conditions are processed by the brain.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maitreyee Pharande, Aslam Khan, Vu Pham, Thong Le, Laurie L. Wellman, Richard A. Britten, Larry D. Sanford, and Hargsoon Yoon "Analyzing functional connectivity in the brain using cross-correlation analysis of local field potentials", Proc. SPIE 11590, Nano-, Bio-, Info-Tech Sensors and Wearable Systems, 1159011 (22 March 2021); https://doi.org/10.1117/12.2585176
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