AI Article Synopsis

  • Cardiorespiratory signals, previously considered noise in fMRI research, are now recognized for their potential insights into brain function and health.
  • These signals, including heart rate variability and respiratory patterns, reflect the interaction between cardiovascular, respiratory, and neural systems that support brain activity.
  • Understanding these signals can improve fMRI data interpretation, highlighting the connections between heart, brain, and overall physiological health.

Article Abstract

Cardiorespiratory signals have long been treated as "noise" in functional magnetic resonance imaging (fMRI) research, with the goal of minimizing their impact to isolate neural activity. However, there is a growing recognition that these signals, once seen as confounding variables, provide valuable insights into brain function and overall health. This shift reflects the dynamic interaction between the cardiovascular, respiratory, and neural systems, which together support brain activity. In this review, we explore the role of cardiorespiratory dynamics-such as heart rate variability (HRV), respiratory sinus arrhythmia (RSA), and changes in blood flow, oxygenation, and carbon dioxide levels-embedded within fMRI signals. These physiological signals reflect critical aspects of neurovascular coupling and are influenced by factors such as physiological stress, breathing patterns, and age-related changes. We also discuss the complexities of distinguishing these signals from neuronal activity in fMRI data, given their significant contribution to signal variability and interactions with cerebrospinal fluid (CSF). Recognizing the influence of these cardiorespiratory dynamics is crucial for improving the interpretation of fMRI data, shedding light on heart-brain and respiratory-brain connections, and enhancing our understanding of circulation, oxygen delivery, and waste elimination within the brain.

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http://dx.doi.org/10.1016/j.neuroimage.2024.121000DOI Listing

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Article Synopsis
  • Cardiorespiratory signals, previously considered noise in fMRI research, are now recognized for their potential insights into brain function and health.
  • These signals, including heart rate variability and respiratory patterns, reflect the interaction between cardiovascular, respiratory, and neural systems that support brain activity.
  • Understanding these signals can improve fMRI data interpretation, highlighting the connections between heart, brain, and overall physiological health.
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