Cognition, emotion, and the central autonomic network

Autonomic Neuroscience, Journal Year: 2022, Volume and Issue: 238, P. 102948 - 102948

Published: Jan. 31, 2022

Language: Английский

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Heart rate variability (HRV) as a way to understand associations between the autonomic nervous system (ANS) and affective states: A critical review of the literature

International Journal of Psychophysiology, Journal Year: 2023, Volume and Issue: 192, P. 35 - 42

Published: Aug. 3, 2023

Evidence suggests affective disorders such as depression and bipolar disorder are characterised by dysregulated autonomic nervous system (ANS) activity. These findings suggest ANS dysregulation may be involved in the pathogenesis of disorders. Different states different activity patterns (i.e., an increase or decrease sympathetic parasympathetic activity). To understand how abnormalities development disorders, it is important to correlate with before their onset. Using heart rate variability (HRV) a tool measure activity, this review aimed look at associations between HRV non-clinical populations those without medical psychiatric disorders). Searches on PubMed Google Scholar were completed using following search terms: variability, system, state, mood emotion all possible combinations. All but one studies examined (N = 13), demonstrated significant affect HRV. Findings negative affect, encompassing both diffused longer-term experiences mood) well more focused short-term emotions), associated reduction measured through parameters known quantify (e.g., high frequency (HF)-HRV). measures typically linked appear populations. However, given complex possibly non-linear relationship further need clarify specificity these findings. Future should investigate potential utility biomarkers for monitoring changes early detection onset relapse patients

Language: Английский

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Publication guidelines for human heart rate and heart rate variability studies in psychophysiology—Part 1: Physiological underpinnings and foundations of measurement

Psychophysiology, Journal Year: 2024, Volume and Issue: 61(9)

Published: June 14, 2024

This Committee Report provides methodological, interpretive, and reporting guidance for researchers who use measures of heart rate (HR) variability (HRV) in psychophysiological research. We provide brief summaries best practices measuring HR HRV via electrocardiographic photoplethysmographic signals laboratory, field (ambulatory), brain-imaging contexts to address research questions incorporating HRV. The emphasizes evidence the strengths weaknesses different recording derivation methods Along with this guidance, reviews what is known about origin heartbeat its neural control, including factors that produce influence metrics. concludes checklists guide authors study design analysis considerations, as well on key methodological details characteristics samples under study. It expected rigorous transparent will strengthen inferences across many applications these metrics psychophysiology. prior Reports are several decades old. Since their appearance, technologies human cardiac vascular monitoring laboratory daily life (i.e., ambulatory) have greatly expanded. was prepared Society Psychophysiological Research updated interpretive summarize studies humans.

Language: Английский

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The Influence of Heart Rate Variability Biofeedback on Cardiac Regulation and Functional Brain Connectivity

Frontiers in Neuroscience, Journal Year: 2021, Volume and Issue: 15

Published: June 29, 2021

Heart rate variability (HRV) biofeedback has a beneficial impact on perceived stress and emotion regulation. However, its brain function is still unclear. In this study, we aimed to investigate the effect of an 8-week HRV-biofeedback intervention functional connectivity in healthy subjects.HRV was carried out five sessions per week, including four at home one our lab. A control group played jump'n'run games instead training. Functional magnetic resonance imaging conducted before after both groups. To compute resting state (RSFC), defined regions interest ventral medial prefrontal cortex (VMPFC) total 260 independent anatomical for network-based analysis. Changes RSFC VMPFC other were compared between Temporal changes HRV during recording correlated dynamic VMPFC.First, corroborated role cardiac autonomic We found that temporal connectivity, especially middle cingulate cortex, left insula, supplementary motor area, dorsal lateral regions. The showed drop heart by 5.2 beats/min increased SDNN as measure 8.6 ms (18%) intervention. mainly amygdala, when group. Network-based statistic had influence broad network regions.Our results show induced accompanied state.

Language: Английский

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Heart rate variability in relation to cognition and behavior in neurodegenerative diseases: A systematic review and meta-analysis

Ageing Research Reviews, Journal Year: 2021, Volume and Issue: 73, P. 101539 - 101539

Published: Dec. 6, 2021

Neurodegenerative diseases, which frequently present with neuropsychiatric symptoms related to prefrontal cortical dysfunction, can alter the integrity of neural networks involved in central autonomic nervous system regulation, is proposed be indexed by heart rate variability (HRV). We systematically reviewed characteristics, methodology and outcomes 27 studies HRV relation measures cognition behavior neurodegenerative conditions, assessed strength this relationship, cross-sectionally, across 18 studies. A significant, moderate effect was observed (r = 0.25), such that higher better cognitive behavioral scores, not influenced mean age or status. There no evidence small-study effects but we could rule out publication bias, other factors may have contributed heterogeneity between Our findings support proposal a marker self-regulatory processes further research on association needed alongside neuroimaging methods.

Language: Английский

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Heart rate variability for medical decision support systems: A review

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 145, P. 105407 - 105407

Published: March 23, 2022

Language: Английский

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The neuroscience of emotional disorders

Handbook of clinical neurology, Journal Year: 2021, Volume and Issue: unknown, P. 1 - 26

Published: Jan. 1, 2021

Language: Английский

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The effects of noninvasive brain stimulation on heart rate and heart rate variability: A systematic review and meta‐analysis

Journal of Neuroscience Research, Journal Year: 2022, Volume and Issue: 100(9), P. 1664 - 1694

Published: May 17, 2022

Abstract Noninvasive brain stimulation (NIBS) techniques such as transcranial magnetic and direct current are widely used to test the involvement of specific cortical regions in various domains cognition emotion. Despite capability causal directions, this approach has been only sparsely examine regulation autonomic nervous system (ANS) functions heart rate (HR) variability (HRV) models regard. In preregistered (PROSPERO) systematic review meta‐analysis, we aimed investigate, based on meta‐regression, whether NIBS represents an effective method for modulating HR HRV measures, evaluate ANS is modulated by mechanisms affected NIBS. Here have adhered PRISMA guidelines. a series four meta‐analyses, total 131 effect sizes from 35 sham‐controlled trials were analyzed using robust variance estimation random‐effects meta‐regression technique. was found effectively modulate with small medium sizes. Moderator analyses yielded significant differences effects between distinct areas. Our results show that promising tool investigate ANS, which may add existing imaging animal study literature. Future research needed identify further factors size effects. As many studies reviewed be at high risk bias, recommend methods reduce potential bias design conduct future studies.

Language: Английский

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Cardiac interoception in patients accessing secondary mental health services: A transdiagnostic study

Autonomic Neuroscience, Journal Year: 2023, Volume and Issue: 245, P. 103072 - 103072

Published: Jan. 13, 2023

Language: Английский

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Cardiorespiratory Dynamics in the Brain: Review on the Significance of Cardiovascular and Respiratory Correlates in functional MRI signal

NeuroImage, Journal Year: 2025, Volume and Issue: 306, P. 121000 - 121000

Published: Jan. 1, 2025

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 confounding variables, provide valuable insights into brain function and overall health. This shift reflects dynamic interaction between cardiovascular, respiratory, systems, which together support In this review, we explore role cardiorespiratory dynamics-such heart rate variability (HRV), respiratory sinus arrhythmia (RSA), changes blood flow, oxygenation, carbon dioxide levels-embedded within fMRI signals. These physiological reflect critical aspects neurovascular coupling are influenced by factors such stress, breathing patterns, age-related changes. We also discuss complexities distinguishing from neuronal activity data, given significant contribution signal interactions cerebrospinal fluid (CSF). Recognizing influence dynamics crucial for improving interpretation shedding light on heart-brain respiratory-brain connections, enhancing our understanding circulation, oxygen delivery, waste elimination brain.

Language: Английский

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