Cross-population amplitude coupling in high-dimensional oscillatory neural time series

• Time-varying covariation of oscillatory amplitudes across two brain regions can be quantified from local field potentials (LFP) using extensions of Canonical Correlation Analysis (CCA) to multiple time series.¹
• The approach targets high-dimensional multi-electrode recordings (e.g. 96 electrodes per region) during tasks such as memory.¹
• Identifying coordinated oscillatory activity across regions in such high-dimensional LFP data remains a methodological challenge that this CCA-based framework addresses.^{1 1}

Footnotes

1. https://www.frontiersin.org/articles/10.3389/fncom.2026.1703722 ↩ ↩² ↩³ ↩⁴