Gemma Fernández‐Rubio

The paper shows that structured recurrence of neural processes predicts better memory recognition performance in auditory tasks.

This study shows that ageing reshapes the frequency-resolved organisation of whole-brain networks in healthy adults, with changes in network prominence and spatiotemporal expression across frequencies.

This study shows that neural reactivation occurs during memory encoding, not just consolidation, and correlates with memory performance.

This study uses MEG to show that simple and complex musical sequences elicit distinct neural activity patterns during memory encoding, with complex sequences involving more hippocampal recruitment.

This study applies the FREQ-NESS pipeline to MEG data to analyze age-related differences in frequency-specific brain networks during auditory tasks and rest.

The paper simulates lesions in age-sensitive white-matter regions to show that healthy ageing involves a selective reconfiguration of structural connectivity rather than uniform decline.

The paper investigates how predictive processing networks change with age, finding that aging redistributes resources across subsystems rather than uniformly weakening them.

The paper investigates neuronal dynamics during mental sound manipulation using intracranial recordings, finding changes in local excitability and inter-areal synchrony.

This paper introduces BROAD-NESS to study auditory memory networks and finds dual-stream mechanisms and whole-brain coordination in predictive coding.

This review evaluates neurophysiological measures in healthy aging, MCI, and dementia using EEG, MEG, and combined methods, highlighting their potential as diagnostic tools and the need for standardization.

The paper investigates brain networks involved in predictive coding of temporal sequences using MEG, finding modality-specific and shared networks for auditory and visual processing.

This study examines how working memory (WM) relates to long-term memory (LTM) recognition of musical sequences, finding WM impacts novel sequences more in older adults than younger ones, and musical training improves memory performance.

FREQ-NESS estimates frequency-resolved brain networks using MEG data, revealing simultaneous networks and their interactions during resting state and auditory stimulation.

This paper introduces a framework to quantify irreversibility in brain network dynamics across multiple levels and identifies higher-order organizational patterns in human brain interactions.

This study investigates how the brain generalises abstract musical concepts over time using MEG, finding that neural responses to novel sequences differ significantly at faster paces.

The paper decodes neural representations of perceived and imagined melodies from MEG data, revealing distinct brain networks for sensory processing and abstract melody representation.

This study uses MEG to investigate hierarchical brain mechanisms during auditory memory recognition and predictive coding, showing feedforward and backward connections and distinct power dynamics in different brain regions.

This study examines how age and musical training affect auditory short-term, long-term, and working memory in young and older adults, finding age-related declines and training benefits in specific tasks.

This study uses MEG to show that older adults have distinct neural responses to musical sequences compared to young adults, challenging the idea that aging uniformly reduces brain function.

This study investigates how the complexity of auditory sequences affects neural activity during recognition memory, finding distinct brain network engagement for simple and complex stimuli.

The paper examines the relationship between working memory abilities and brain activity during long-term recognition of auditory sequences, finding positive correlations in specific brain regions.