Age associated alterations in the cortical representation of cardiac signals: A heartfelt tale
Saluja, K.; Roy, D.; Banerjee, A.
Show abstract
The brain continuously tracks signals from the body, including the heartbeat, which influence internal states such as the perception of time, well-known to accelerate with age and disrupted in disorders such as Parkinsons disease and dementia. The present study examined whether the representation of cardiac events onto spontaneous neural oscillations maps to regions responsible for processing time-perception, show age-related differences, and uncovered the mechanisms that may underlie any such reorganization. From a large cohort (N = 620), cortical heartbeat-evoked responses (HERs) were characterized and their sources were pinned to frontotemporal regions. Phase-based analyses demonstrated that cardiac signals affect phase of ongoing neural oscillations in the theta frequency band, rather than altering overall power, with this effect consolidating in older adults. Advanced statistical analysis further indicated that these changes are primarily driven by enhanced bottom-up heart-to-brain influences, revealing that altered interoceptive signaling can shape the age-related changes in time perception.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Predicting brain age across the adult lifespan with spontaneous oscillations and functional coupling in resting brain networks captured with magnetoencephalography 96%
- Pre-stimulus Activity Mediates Event-Related Theta Synchronization and Alpha Desynchronization During Memory Formation in Healthy Aging 96%
- The Physiological Component of the BOLD Signal: Impact of Age and Heart Rate Variability Biofeedback Training 96%
Similar papers in this journal
- Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood 96%
- Right-lateralized fronto-parietal network and phasic alertness in healthy aging 95%
- Electrophysiological resting-state signatures link polygenic scores to general intelligence 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.