Clinical Neuropsychology: Open Access
Open Access

Behavioural neurobiology; Neural circuits; Neuroscience; Psychology

Introduction

Behavioural Neurobiology is a subfield of neuroscience that studies the relationship between behavior and biology at the molecular, cellular, systems, and behavioural levels. This field aims to understand how the brain control and perceive human behavior, how external stimuli influence behavior, and how changes in brain structure or function can impact behavior. The research in behavioural neurobiology uses different techniques, including behavior observation; electrophysiology, imaging, and pharmacology, to better understand the complex connections between brain function, behavior, and environmental factors. The work in this field has many practical applications, such as developing treatments for neurological disorders, understanding addiction, and improving our understanding of human cognition and decision-making [1].

Discussion

Applications of behavioural neurobiology

Behavioural neurobiology has helped us gain a deeper understanding of the association between the brain and behavior. This understanding is crucial as it allows us to better comprehend the causes of behavioural patterns in humans and animals. This understanding has led to a breakthrough in the study of various neurological diseases, as we have become better able to recognize malfunctioning circuits in the brain that cause behavioural problems [2]. Researchers are now using this understanding of behavioural neurobiology to develop new methodologies that aid in the diagnosis and treatment of neurological disorders such as Alzheimer's, Parkinson's, and schizophrenia.

One of the major achievements of behavioural neurobiology is that it offers insight into how stress affects the brain and the body. It helps us understand how stress affects the Hypothalamic-Pituitary-Adrenal (HPA) axis and initiates the stress response. The stress response is a set of physiological responses that are triggered by the release of hormones such as cortisol and adrenaline [3]. These hormones prepare the body for a "fight or flight" response in the presence of danger. However, prolonged stress can lead to various health problems such as cardiovascular diseases, depression, and anxiety. Scientists can now investigate how stress interacts with the brain, and how it affects behavior, memory, and cognition.

Understanding the impact of stress on the brain and behavior is vital in our modern society. In the current technologically advanced world, we are bombarded with situations that can be stressful for our mental and physical health. Furthermore, the high pressure that comes with modern life can make us feel stressed constantly [4]. With advances in behavioural neurobiology, we can better understand how stress affects our mental health and use this knowledge to develop effective treatments and therapies for stress-related disorders.

Another example of the importance of behavioural neurobiology is the study of mood disorders. Depression and anxiety are two of the most prevalent mental health disorders worldwide, and they result in significant economic and societal costs. The study of behavioural neurobiology has helped shed light on the underlying neural circuitry and molecular basis of these disorders [5]. With this knowledge, researchers are working to identify new drug targets that may help alleviate the symptoms of these disorders.

Results

The field of neurobiology has also helped us gain insight into how addiction affects the brain and behavior. Addiction is a chronic condition that affects the brain's reward system, leading to compulsive drug-seeking and use despite the negative consequences. Behavioural neurobiology studies have shown that the brain's reward system is altered in various ways in people who are addicted to drugs [6]. Researchers can use this understanding to develop more effective treatments for addiction, and to better understand the neural circuits and molecular mechanisms underlying drug addiction.

Behavioural neurobiology is also critical in the study of molecular mechanisms of learning and memory. Scientists have long been trying to understand how the brain forms memories and how these memories are stored. The past few decades have witnessed significant advancements in the study of molecular mechanisms of learning and memory [7]. Researchers are striving to understand how changes at the synaptic level, such as Long-Term Potentiation (LTP) and Long-Term Depression (LTD), result in the formation and storage of long-term memories.

The importance of understanding the molecular mechanisms of learning and memory lies in its potential for developing new treatments for memory-related diseases such as Alzheimer's disease. Alzheimer's is a progressive neurodegenerative disorder characterized by memory loss and other cognitive deficits [8]. Developing an understanding of the molecular mechanisms of learning and memory can help us develop new treatments that slow down or stop the progression of Alzheimer's disease.

Behavioural neurobiology has also contributed significantly to the development of Brain-Computer Interface systems (BCIs). BCIs are devices that allow direct communication between the brain and external devices such as computers or robotic limbs. They work by capturing and decoding the electrical signals generated by the brain and translating them into control signals that can be used to move objects or control a computer. BCIs have wide applications in various fields, including neuroscience, rehabilitation, and gaming [9].

For individuals who have lost the ability to control their limbs due to paralysis, BCIs give them a chance to regain some level of control over their lives. Researchers are developing new BCIs that can be used in the rehabilitation process and to help people with spinal cord injuries. The technology is still in its infancy, but with continued research in the field of behavioural neurobiology, the possibilities for BCIs are limitless [10].

Conclusion

The study of behavioural neurobiology is essential in today's world. It helps us understand how the brain and behavior are closely intertwined, and how the malfunctioning of brain circuits can lead to various neurological disorders. Advancements in this field have shed light.

Conflict of Interest

The author declares has no conflict of interest.

Acknowledgement

None

1. Cascino GD (1994)Epilepsy: contemporary perspectives on evaluation and treatment. Mayo Clinic Proc 69: 1199-1211.

Google Scholar, Crossref, Indexed at

2. Castrioto A, Lozano AM, Poon YY, Lang AE, Fallis M, et al. (2011) Ten-Year outcome of subthalamic stimulation in Parkinson disease: a Blinded evaluation. Arch Neurol 68: 1550-1556.

Google Scholar, Crossref, Indexed at

3. Chang BS, Lowenstein DH (2003) Epilepsy. N Engl J Med 349: 1257-1266.

Google Scholar, Crossref, Indexed at

4. Cif L, Biolsi B, Gavarini S, Saux A, Robles SG, et al. (2007) Antero-ventral internal pallidum stimulation improves behavioral disorders in Lesch-Nyhan disease. Mov Disord 22: 2126-2129.

Google Scholar, Crossref, Indexed at

5. De Lau LM, Breteler MM (2006) Epidemiology of Parkinson's disease. Lancet Neurol 5: 525-35.

Google Scholar, Crossref, Indexed at

6. Debru A (2006) The power of torpedo fish as a pathological model to the understanding of nervous transmission in Antiquity. C R Biol 329: 298-302.

Google Scholar, Crossref, Indexed at

7. Fisher R, van Emde Boas W, Blume W, Elger C, Genton P, et al. (2005) Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46: 470-472.

Google Scholar, Crossref, Indexed at

8. Friedman JH, Brown RG, Comella C, Garber CE, Krupp LB, et al. (2007) Fatigue in Parkinson's disease: a review. Mov Disord 22: 297-308.

Google Scholar, Crossref, Indexed at

9. Friedman JH, Friedman H (2001) Fatigue in Parkinson's disease: a nine-year follow up. Mov Disord 16: 1120-1122.

Google Scholar, Crossref, Indexed at

10. Friedman J, Friedman H (1993) Fatigue in Parkinson's disease. Neurology 43: 2016-2018.

Google Scholar, Crossref, Indexed at