Neuropsychologist Sofía Fonseca Moreno examines how heart rate variability (HRV) influences cognitive decline in old age.
Introduction
Life expectancy has increased, so the group of people over 60 years old has grown worldwide (World Health Organization, 2015), including Mexico. With increasing age, it is expected that various cognitive functions will 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 about 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 the mental abilities that allow us, human beings, to correctly interpret and manage information that comes from the environment. Adequate 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 neural tissue. This alters both brain function and cognitive performance.
Among the most common changes are difficulties in perceptual abilities, memory and learning, impairments in visuospatial and constructional skills, greater 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 (Ardilla, 2012).
These previously mentioned changes 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 decline 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, diagnostic criteria include the patient’s or an informant’s concern about changes in cognition relative to their previous state, the presence of impairments in cognitive functions, the preservation of functional independence, although 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 by age.
For example, as one ages, the heart experiences a decrease in heart rate and ventricular relaxation becomes slower. These cardiovascular alterations are also accompanied by structural and functional modifications at the brain level, as well as less efficient regulation of the autonomic nervous system, which plays a key role in the body’s physiological regulation (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 the deterioration of the cardiovascular system, thereby increasing the risk of chronic diseases such as arterial hypertension. Among these risk factors are progressive degeneration of the arteries and 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, which is 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 organism is to respond to different situations and higher 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 lower capacity of the organism to adapt and respond to different physiological stimuli (Almeida-Santos et al., 2016).
HRV can be measured using an electrocardiogram (ECG) or using a photoplethysmograph (PPG), which detects changes in 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).
It has been shown that high HRV is associated with greater psychological well-being, better emotional self-regulation, and a lower risk of physical and mental illnesses. In contrast, low HRV may indicate a less flexible organism, with a lower 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 communicate in turn with other structures, such as the amygdala and some 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 body.
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 they performed working memory tasks.
Their results showed positive correlations between HRV and the following brain areas: ventromedial prefrontal cortex, insula, and the amygdala-hippocampal complex, structures that help regulate the autonomic activity of the heart (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.
Because of this relationship between the brain and the heart, 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 control the heart properly. That is, since the heart and brain are closely connected, changes in one of these systems can directly influence the other.
In this sense, low HRV has been linked to 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 poorer language performance, and resting HRV levels have been shown to predict attentional performance.
- An association has also been reported between lower HRV and poorer executive function performance, as well as 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, although 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 show better control over memory and a greater ability to suppress unwanted memories.
In contrast, low HRV is associated with worse performance on verbal memory tasks, both short- and long-term. Regarding language, reduced HRV has been linked to lower language performance. With respect to attention, it has been evidenced that resting HRV predicts attentional performance, with lower HRV levels indicating poorer performance. Likewise, lower HRV has been associated with poorer performance in executive functions, visuospatial skills, and a greater decline 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 view of all the above, in the second part of this article we will delve into HRV biofeedback and how it works, providing evidence about its effects on improving cognitive functioning and ethical considerations.
If you are interested in learning more about HRV biofeedback in improving cognitive functioning, you can continue reading the second part of this article here.
Bibliografía
- 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). Neuropsicología del Envejecimiento Normal. Revista Neuropsicológica, Neuropsiquiátrica y Neurociencias, 12(1), 1–20.
- Aveleyra, E., & Ostrosky, F. (2007). Cambios neurofisiológicos, cognoscitivos y neuroendócrinos durante el envejecimiento. In M. Guevara, M. Hernández, N. Arteaga, & E. Olvera (Eds.), Aproximaciones al estudio de la funcionalidad cerebral y el comportamiento. 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). Deterioro cognoscitivo y factores asociados en adultos mayores en México. 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.
- Organización Mundial de la Salud, (OMS). (2015). Informe mundial sobre el envejecimiento y la salud.
- 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 the balance of the autonomic nervous system and of 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 lower 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 using an 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 single diagnostic marker.
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