Angleeg

Angleeg is a proposed analytical framework in neuroscience for examining angular or phase-related properties of electroencephalography (EEG) data. By integrating circular statistics with conventional EEG phase analysis, angleeg seeks to quantify how instantaneous phase information is distributed across recording sites and how this distribution relates to cognitive or behavioral states. The approach emphasizes the geometry of phase information on the unit circle rather than only amplitude or power.

Etymology and development: The term angleeg blends the idea of angular measurements with EEG. The concept has appeared in early methodological discussions and small-scale simulations, rather than through a single standardized protocol. As a result, implementations and parameter choices can vary across studies, reflecting ongoing methodological exploration rather than a universally adopted procedure.

Methodology: Typical angleeg analysis follows standard EEG preprocessing steps such as artifact removal and referencing. The signal is filtered to a frequency band of interest, and the instantaneous phase is estimated (for example via the Hilbert transform). Phase values are treated as angles and analyzed with circular statistics to compute metrics such as mean phase direction, angular dispersion, and angular coherence. Angleeg can yield visual maps showing predominant phase angles across scalp locations, which researchers interpret in relation to task conditions or neural states.

Applications and limitations: Researchers have explored angleeg for understanding phase synchronization during cognitive tasks, sleep stages, and epileptic activity. Limitations include sensitivity to reference schemes, volume conduction, and filter choices, as well as a lack of universal standardization. Consequently, findings using angleeg typically require careful interpretation and replication across datasets.

See also: EEG, phase synchronization, circular statistics, instantaneous phase.