Maria Azanova

Individual heartbeats track distinct prediction processes during human probabilistic learning

The paper shows that individual heartbeats reflect distinct prediction processes during human probabilistic learning, with specific cardiac responses linked to anticipation, orienting, and feedback-based updating.

Canonical Correlation Analysis and Multi-Channel Cardiography Improve Artefact Cleaning in Heartbeat-Locked Analyses

This paper introduces a canonical correlation approach for multi-channel cardiac artefact removal in EEG data and shows it outperforms traditional methods in reducing artefacts while preserving neural signals.

Heartbeat-evoked responses in M/EEG: A systematic review of methods with suggestions for analysis and reporting

This paper reviews 132 HER studies using M/EEG, identifies methodological inconsistencies, and provides a checklist and dataset to improve standardization and reproducibility.

Resting-state theta oscillations and reward sensitivity in risk taking

The paper examines how resting-state theta oscillations relate to risk-taking behaviors and reward sensitivity in a mixed sample of participants, finding sex-specific associations.