María Herrojo Ruiz

This study investigates how cardiac rhythms influence creative ideation by analyzing cardiac-brain interactions during spontaneous and directed idea generation.

This study investigates how cardiac signals influence the perception of motor intention during Libet's task, finding that movement initiation aligns with the diastolic phase of the cardiac cycle.

This study shows that performance anxiety in skilled pianists affects reward and punishment learning based on task uncertainty, with faster reward learning under high uncertainty and faster punishment learning under low uncertainty.

This study uses MEG and hierarchical Bayesian modeling to show that euthymic bipolar disorder patients anticipate environmental volatility but fail to learn effectively, with altered neural activity in prefrontal regions.

This study shows that motor imagery performance is influenced by cardiac cycle phases, with greater alpha and beta suppression during diastole.

This study shows that reward probability expectations dynamically modulate motor performance in healthy ageing and Parkinson's disease patients without affecting reaction times.

This study links altered oscillatory activity in ACC and mPFC to changes in Bayesian predictive coding signatures in subclinical trait anxiety using MEG and computational modeling.

This study decodes mind wandering and meta-awareness from EEG data and finds that introspection confidence correlates with decoding accuracy.

This study examines age-related changes in EEG/MEG signals in middle-aged adults compared to younger and older adults, finding non-linear changes in beta oscillations during middle age.

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.

This study investigates how state anxiety affects neural oscillatory activity related to predictions and prediction errors during reward learning, finding increased beta activity in specific brain regions.

The paper shows that state anxiety in healthy individuals leads to biased uncertainty estimates and impaired reward learning in volatile environments.

This study shows that stimulating the right frontopolar cortex with tDCS enhances reward-based motor learning by increasing reward expectation and reducing exploration volatility.

This study shows that anxiety impairs reward-based motor learning by altering sensorimotor beta oscillations and volatility estimation.

The paper investigates how cardiac afferent signals influence early neural responses to errors during skilled performance, finding a cardiac-phase-dependent component in error processing.