Neuropsychologist Sofía Fonseca Moreno analyzes how heart rate variability (HRV) influences cognitive decline in old age.
Introduction
The life expectancy has increased, so the group of people over 60 years old has grown worldwide (World Health Organization (WHO), 2015), including Mexico. With increasing age, it is expected that various cognitive functions begin to decline. However, that decline can be severe enough to compromise the quality of life of those who suffer from it (Aveleyra & Ostrosky, 2007; Forte et al., 2019; Mejía-Arango et al., 2007).
Given this situation, it is important to know interventions that promote healthy cognitive aging, such as heart rate variability (HRV) biofeedback, an intervention based on scientific evidence (Moss, 2004).
Cognitive functions and aging
What are cognitive functions?
The cognitive functions have been defined as those mental abilities that allow us, human beings, to correctly interpret and manage information coming from the environment. A proper cognitive functioning is essential, since it enables us to perform all our activities of daily living (ADLs) optimally, such as reading, driving, writing, speaking, reasoning, planning, etc. Some of these cognitive functions are attention, memory, language, and executive functions (Aveleyra & Ostrosky, 2007; Forte et al., 2019).
Cognitive changes associated with aging
During aging various changes occur, such as deterioration of certain brain structures and loss of nervous tissue. This modifies both brain functioning and cognitive performance.
Among the most common changes are difficulties in perceptual skills, memory and learning, alterations in visuospatial and constructional skills, increased difficulty incorporating new information, and a slowing of motor responses. Changes in language and verbal processes may also occur, although in some cases these functions show some resistance to decline and can even improve in advanced age (Ardila, 2012).
These changes mentioned above are considered normal. However, when they progress enough to affect a person’s quality of life and daily functioning (Forte et al., 2019), they may be related to cognitive impairment that is no longer part of normal aging, such as mild cognitive impairment (MCI) (Aveleyra & Ostrosky, 2007).
What is mild cognitive impairment (MCI)?
Mild cognitive impairment is a condition characterized by the presence of a significant decline in one or more cognitive functions, but that does not substantially interfere with the person’s functional autonomy (American Psychiatric Association, 1994).
According to the National Institute on Aging and the Alzheimer’s Association, the diagnostic criteria include concern by the patient or an informant about changes in cognition relative to prior status, the presence of cognitive impairments, the preservation of functional independence, albeit with greater slowness or errors, and the absence of clinical signs indicating dementia (Albert et al., 2011; McKhann et al., 2011). Although it is not a type of dementia, MCI does represent an important warning sign, since the probability of progression from mild cognitive impairment to dementia is estimated between 10% and 15% (Albert et al., 2011).
Heart rate variability and aging
The changes in cognitive functions that occur during aging do not occur in isolation, but are related to other physiological processes that are also affected with age.
For example, as one ages, the heart experiences a decrease in heartbeat frequency and ventricular relaxation is slower. These cardiovascular alterations are also accompanied by structural and functional changes at the brain level, as well as less efficient regulation of the autonomic nervous system, which plays a key role in the physiological regulation of the organism (Bozkurt et al., 2016). In this context, an association has been observed between the state of the autonomic nervous system and cognitive performance in older adults (Shaffer & Venner, 2013).
With aging, various factors contribute to cardiovascular system deterioration, thereby increasing the risk of chronic diseases such as arterial hypertension. Among these risk factors are progressive arterial degeneration and the accumulation of fat in the vascular walls, which reduce the internal diameter of blood vessels and hinder adequate blood flow. In particular, hypertension in the older adult population is a highly prevalent condition at this stage of life and is associated with a higher risk of cognitive decline and neurodegenerative diseases (Almeida-Santos et al., 2016).
What is HRV?
Heart rate variability (HRV) is an indicator of autonomic nervous system regulation, responsible for controlling involuntary functions such as breathing, digestion and heart rate. HRV is a phenomenon of the cardiac cycle defined as the variation in time in milliseconds between consecutive heartbeats and is a signal of how well the autonomic nervous system functions. This measure indicates how flexible and adaptable the body is to respond to different situations, and greater variability indicates better regulation (Acharya et al., 2006; Thayer et al., 2012).
Global autonomic regulation of the heart decreases with aging, which causes a progressive reduction in heart rate variability, thus reflecting a reduced capacity of the organism to adapt and respond to different physiological stimuli (Almeida-Santos et al., 2016).
HRV can be measured by electrocardiogram (ECG) or using a photoplethysmograph (PPG), which detects changes in blood pulse volume. From these heart rate measurements, it is possible to analyze heart rate variability (HRV) using different analyses, such as time-domain or frequency-domain analysis (Acharya et al., 2006).
Evidence shows that high HRV is associated with greater psychological well-being, better emotional self-regulation, and lower risk of physical and mental illnesses. In contrast, low HRV may indicate a less flexible organism, with reduced capacity to adapt to demanding or stressful situations (Acharya et al., 2006; Moss, 2004).
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Relationship between the cerebral cortex, HRV and cognitive functions
Some brain structures participate in the regulation of heart rate and HRV. Specifically, some areas of the brain, such as the medial and orbital prefrontal cortex, help modulate heart rate through the vagus nerve (Williams et al., 2019).
These brain regions in turn communicate with other structures, such as the amygdala and certain brainstem nuclei, which together regulate heart activity (Gianaros et al., 2004). This means that HRV not only reflects the state of the cardiovascular system, but also the degree of control the brain has over the organism.
A study demonstrating the relationship between heart rate variability (HRV) and the prefrontal cortex is Gianaros (2004), which aimed to characterize the functional relationship between regional brain activation and autonomic cardiac activity.
Using positron emission tomography they estimated blood flow in some regions and obtained an index of HRV as an indicator of autonomic cardiac activity in 93 adults, aged 50 to 70 years, while performing working memory tasks.
Their results showed positive correlations between HRV and the following brain areas: ventromedial prefrontal cortex, insula and amygdalo-hippocampal complex, structures that help regulate the heart’s autonomic activity (Gianaros et al., 2004).
This demonstrates that, when the brain (especially areas that regulate emotions and cognition, such as the prefrontal cortex) is more active during cognitive tasks, there is also better regulation of the heart, which supports the idea of a functional connection between the brain and the heart.
Due to this brain–heart relationship, consequently, when there is a problem in this regulatory system, the blood flow to these brain areas can be affected, which reduces their capacity to properly control the heart. That is, given that the heart and the brain are closely connected, changes in one of these systems can directly influence the other.
In this sense, low HRV has been associated with poorer performance in various cognitive functions:
- For example, it has been found that lower HRV is associated with worse performance in both short- and long-term verbal memory.
- Likewise, reduced HRV has been linked to lower language performance, and resting HRV levels have been shown to predict attentional performance.
- An association has also been reported between lower HRV and poorer performance in executive functions, as well as in visuospatial skills.
- Additionally, individuals with low HRV have shown poorer performance and greater decline in processing speed.
However, these findings should be interpreted with caution, since there is also evidence, albeit to a lesser extent, that does not confirm these associations, which suggests that more research is needed to clarify the nature of this relationship. (Forte et al., 2019; Thayer et al., 2012).
According to scientific evidence, it has been shown that people with higher HRV levels exhibit better control over memory and a greater ability to suppress unwanted memories.
In contrast, low HRV is associated with poorer performance on verbal memory tasks, both short- and long-term. Regarding language, it has been observed that reduced HRV is linked to lower language performance. Concerning attention, it has been shown that resting HRV predicts attentional performance, with lower HRV levels indicating poorer performance. Likewise, lower HRV has been related to lower performance in executive functions, visuospatial skills and a greater decrease in processing speed (Forte et al., 2019).
These findings support the idea that HRV is not only a marker of cardiovascular health, but could also be an indicator of cognitive functioning.
Conclusion
In light of all the above, in the second part of this article we will delve into HRV biofeedback and how it works, providing evidence on its effects on improving cognitive functioning and ethical considerations.
If you are interested in learning more about HRV biofeedback for improving cognitive functioning, you can continue reading the second part of this article here.
Bibliography
- Acharya, U. R., Joseph, K. P., Kannathal, N., Lim, C. M., & Suri, J. S. (2006). Heart rate variability: A review. Medical and Biological Engineering and Computing, 44(12), 1031–1051. https://doi.org/10.1007/s11517-006-0119-0
- Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., Snyder, P. J., Carrillo, M. C., Thies, B., & Phelps, C. H. (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s and Dementia, 7(3), 270–279. https://doi.org/10.1016/j.jalz.2011.03.008
- Almeida-Santos, M. A., Barreto-Filho, J. A., Oliveira, J. L. M., Reis, F. P., da Cunha Oliveira, C. C., & Sousa, A. C. S. (2016). Aging, heart rate variability and patterns of autonomic regulation of the heart. Archives of Gerontology and Geriatrics, 63, 1–8. https://doi.org/10.1016/J.ARCHGER.2015.11.011,
- American Psychiatric Association. (1994). DSM-IV: Diagnostic and statistical manual of mental disorders (APA (ed.); 4th ed.).
- Ardila, A. (2012). Neuropsychology of Normal Aging. Revista Neuropsicológica, Neuropsiquiátrica y Neurociencias, 12(1), 1–20.
- Aveleyra, E., & Ostrosky, F. (2007). Neurophysiological, cognitive and neuroendocrine changes during aging. In M. Guevara, M. Hernández, N. Arteaga, & E. Olvera (Eds.), Approaches to the study of brain functionality and behavior. Universidad de Guadalajara.
- Bozkurt, B., Aguilar, D., Deswal, A., Dunbar, S. B., Francis, G. S., Horwich, T., Jessup, M., Kosiborod, M., Pritchett, A. M., Ramasubbu, K., Rosendorff, C., & Yancy, C. (2016). Contributory Risk and Management of Comorbidities of Hypertension, Obesity, Diabetes Mellitus, Hyperlipidemia, and Metabolic Syndrome in Chronic Heart Failure: A Scientific Statement from the American Heart Association. Circulation, 134(23), e535–e578. https://doi.org/10.1161/CIR.0000000000000450/ASSET/004E3C84-43FF-4483-B2CA-1F9E42AA3DC6/ASSETS/GRAPHIC/E535FIG05.JPEG
- Forte, G., Favieri, F., & Casagrande, M. (2019). Heart rate variability and cognitive function: A systematic review. Frontiers in Neuroscience, 13(JUL), 710. https://doi.org/10.3389/FNINS.2019.00710/BIBTEX
- Gianaros, P. J., Van Der Veen, F. M., & Jennings, J. R. (2004). Regional cerebral blood flow correlates with heart period and high-frequency heart period variability during working-memory tasks: Implications for the cortical and subcortical regulation of cardiac autonomic activity. Psychophysiology, 41(4), 521–530. https://doi.org/10.1111/1469-8986.2004.00179.x
- McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., Mohs, R. C., Morris, J. C., Rossor, M. N., Scheltens, P., Carrillo, M. C., Thies, B., Weintraub, S., & Phelps, C. H. (2011). The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s and Dementia, 7(3), 263–269. https://doi.org/10.1016/j.jalz.2011.03.005
- Mejía-Arango, S., Miguel-Jaimes, A., Villa, A., Ruiz-Arregui, L., & Gutiérrez-Robledo, L. M. (2007). Cognitive impairment and associated factors in older adults in Mexico. Salud Pública de México, 49(S4), 475–481.
- Moss, D. (2004). Heart rate variability and biofeedback. Psychophysiology Today: The Magazine for Mind-Body Medicine, 1, 4–11.
- World Health Organization (WHO). (2015). World report on aging and health.
- Shaffer, F., & Venner, J. (2013). Heart Rate Variability Anatomy and Physiology. Biofeedback, 41(1), 13–25. https://doi.org/10.5298/1081-5937-41.1.05
- Thayer, J. F., Åhs, F., Fredrikson, M., Sollers, J. J., & Wager, T. D. (2012). A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neuroscience and Biobehavioral Reviews, 36(2), 747–756. https://doi.org/10.1016/J.NEUBIOREV.2011.11.009
- Williams, P. G., Cribbet, M. R., Tinajero, R., Rau, H. K., Thayer, J. F., & Suchy, Y. (2019). The association between individual differences in executive functioning and resting high-frequency heart rate variability. Biological Psychology, 148, 107772. https://doi.org/10.1016/J.BIOPSYCHO.2019.107772
Frequently asked questions about heart rate variability (HRV)
1. What is heart rate variability (HRV)?
HRV is the fluctuation in the interval between heartbeats. It is an indicator of autonomic nervous system balance and the body’s ability to adapt to stress.
2. Why is HRV important in older adults?
Low HRV is associated with poorer overall health and a higher risk of cognitive decline, as it reflects a reduced capacity for physiological and emotional self-regulation.
3. Which cognitive functions are affected by low HRV?
Mainly attention, working memory, processing speed and executive functions.
4. How is HRV measured in clinical settings?
It can be measured by electrocardiogram or portable devices with heart rate sensors, using heart rhythm analysis tools.
5. Is there a relationship between HRV and neurodegenerative diseases such as Alzheimer’s?
Yes, several studies suggest that low HRV may be associated with a higher risk of mild cognitive impairment and Alzheimer’s disease, although it is not a unique diagnostic marker.
If you enjoyed this blog post about heart rate variability (HRV) and its relationship with cognitive decline, you will likely be interested in these NeuronUP articles:
“This article has been translated. Link to the original article in Spanish:”
La variabilidad de la frecuencia cardíaca (VFC) y su relación con el deterioro cognitivo
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