Research on General Brain Functions

Research Article
Open access

Research on General Brain Functions

Yuanxi Zhang 1*
  • 1 High School Attached to Northeast Normal University    
  • *corresponding author xuyuuuuu891109@gmail.com
Published on 12 December 2024 | https://doi.org/10.54254/2753-8818/2024.18229
TNS Vol.70
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-83558-771-3
ISBN (Online): 978-1-83558-772-0

Abstract

The human brain is a highly complex organ responsible for a wide range of essential functions, from cognitive processing to the regulation of physiological activities. This paper provides an overview of the brain’s unique capabilities, including higher cognitive functions, consciousness, and memory formation. Using neuroimaging and neurological studies, the essay explores how specific brain regions contribute to decision-making, self-awareness, and learning. Furthermore, a comparison between the brain and other organs highlights its role in behavior regulation and goal-oriented actions. The paper also discusses the evolutionary advantages conferred by the brain’s adaptability, intelligence, and creativity. Through a comprehensive review of existing literature, this study concludes that the brain’s unmatched abilities are fundamental to both human survival and cultural development.

Keywords:

Brain function, Higher cognition, Neuroimaging, Synaptic plasticity, Evolution

Zhang,Y. (2024). Research on General Brain Functions. Theoretical and Natural Science,70,56-61.
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1. Introduction

The human brain is the most complex organ in the body, governing everything from basic survival functions to higher cognitive processes. In recent years, advances in neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) have facilitated a more nuanced understanding of the distinct functions attributed to different brain regions, such as decision-making, memory, and consciousness. However, despite these advancements, many questions remain unanswered regarding the brain’s intricate mechanisms, particularly in how it adapts to new challenges and coordinates complex behaviors. This study aims to explore the brain’s unique functional capacities, focusing on higher cognition, self-awareness, and behavioral control, and how these capabilities distinguish it from other organs.

This paper addresses key questions: how does the brain perform higher cognitive functions, maintain self-awareness, and enable learning and memory? How does it compare with other organs in its ability to regulate behavior and adapt to environmental changes? To answer these questions, this research will review existing literature, focusing on neuroimaging findings and neurological studies that shed light on brain function.

By investigating these aspects, this research contributes to the broader understanding of brain functions, offering insights that could inform future applications in fields such as artificial intelligence and mental health treatment. Furthermore, it identifies gaps in current research and suggests future areas of exploration, especially in understanding brain plasticity and its role in cognitive and behavioral adaptability.

2. Unique Functions of the Brain

2.1. Higher cognitive functions

Because of the body’s complicated neural network, the brain is important for higher The human brain’s capacity for higher cognitive functions, such as decision-making, problem-solving, and abstract reasoning, is largely attributed to its vast and intricately connected neural network. The brain is estimated to contain approximately 86 billion neurons, each capable of forming thousands of synaptic connections with other neurons, resulting in an immensely complex and dynamic system for processing information [1]. This network allows for the simultaneous integration of sensory inputs and cognitive outputs, facilitating sophisticated behaviors and thought processes that set humans apart from other species.

Neuroimaging studies have revealed that specific brain regions are selectively activated during higher cognitive tasks, with the prefrontal cortex playing a particularly central role in executive functions like decision-making, attention regulation, and working memory [2]. The prefrontal cortex integrates information from various sensory modalities and uses this data to evaluate different options, enabling individuals to make informed choices. For instance, when choosing between different types of cereal in a grocery store, the prefrontal cortex evaluates factors such as price, nutritional value, brand preference, and taste to arrive at an optimal decision.

Additionally, research has shown that damage to the prefrontal cortex can impair decision-making abilities and lead to impulsive or irrational behavior, as seen in cases like the famous Phineas Gage incident, where a railroad worker survived a severe brain injury but experienced significant changes in personality and judgment [3]. This case highlights the importance of the prefrontal cortex in regulating complex cognitive tasks and maintaining behavioral control.

In addition to the classic Phineas Gage case, more recent studies involving patients with brain lesions provide further insight into how specific brain regions contribute to decision-making and goal-oriented behavior. For instance, patients with damage to the ventromedial prefrontal cortex (vmPFC) often exhibit impaired judgment and difficulty in making advantageous decisions, as shown in the Iowa Gambling Task. These patients tend to select immediate rewards despite long-term negative consequences, demonstrating the crucial role of the vmPFC in evaluating future outcomes and guiding goal-directed behavior [4]. Moreover, studies using functional magnetic resonance imaging (fMRI) have revealed that individuals with dysfunction in the dorsolateral prefrontal cortex (dlPFC) struggle with planning and adjusting behavior based on changing rules, further highlighting the prefrontal cortex’s involvement in executive control and flexible decision-making[5] .

The interaction between the prefrontal cortex and other brain areas, such as the parietal cortex and basal ganglia, further refines cognitive processing. Studies have shown that the prefrontal-parietal network is crucial for tasks that require sustained attention and complex problem-solving, while the basal ganglia are involved in habit formation and goal-directed behaviors [6]. This multi-layered network allows the brain to flexibly adapt to changing environments and efficiently carry out higher-order cognitive functions.

2.2. Consciousness and Self-Awareness

The human brain’s ability to establish both consciousness and self-awareness is one of its most complex and unique functions. Consciousness, in particular, involves the active integration of various brain processes, allowing for the continuous perception and interaction with the external environment. This requires the coordination of multiple brain regions, including the activation of the reticular formation and thalamo-cortical loops, which are critical for maintaining a state of wakefulness and awareness. Research has shown that the neural mechanisms underlying consciousness involve intraregionally distributed networks across the entire brain, capable of transmitting information between regions at millisecond speeds. This rapid communication enables the brain to process vast amounts of sensory and cognitive data in real-time, forming the foundation for conscious experience [7].

Self-awareness, a more specific aspect of consciousness, involves the brain’s ability to reflect on its own states and actions. This process is thought to rely heavily on the interaction between the prefrontal and parietal cortices. The prefrontal cortex, often associated with executive functions such as decision-making and planning, works in tandem with the parietal cortex to create a sense of self. These regions coordinate the evaluation of internal states, such as thoughts and emotions, enabling individuals to assess their actions and intentions. This complex interplay forms the basis of self-reflection, allowing for higher-order cognition like introspection and metacognition [7].

2.3. Learning and memory

Learning and memory are fundamental cognitive processes that are intricately linked to the brain's ability to modify its synaptic connections, a phenomenon known as synaptic plasticity. Synaptic plasticity refers to the brain’s capacity to strengthen or weaken synapses over time, based on activity levels, thereby forming the cellular basis for learning and storing new information. This dynamic process enables the brain to adapt to new experiences, environments, and information, making it essential for both short-term learning and long-term memory retention [8] .

A key brain region involved in memory formation is the hippocampus, which plays a critical role in converting short-term memories into long-term ones through a process called long-term potentiation (LTP). LTP is a long-lasting increase in signal transmission between neurons that results from their simultaneous activation, effectively “wiring” experiences into durable memories. The hippocampus integrates information from different sensory and cognitive systems to form coherent memories that can be retrieved later.

Furthermore, learning can occur through different types of conditioning. Classical conditioning, in which an individual learns to associate two stimuli, and instrumental conditioning, where behavior is shaped by rewards or punishments, are mediated by distinct neural circuits. These forms of conditioning illustrate the complexity and diversity of the brain’s learning pathways, showcasing how different brain regions and mechanisms work in concert to encode, store, and retrieve memories [9].

3. Comparison Between the Brain and Other Organs

3.1. Automatic regulation functions

While other organs, such as the heart and lungs, engage in necessary life-sustaining activities, their self-regulation is often restricted to predetermined chemical feedback loops. For instance, the heart maintains its rhythm through intrinsic pacemaker cells and responds to hormonal signals like adrenaline to regulate heart rate and contraction force [10]. The lungs operate through a similar feedback mechanism, adjusting respiratory rates based on carbon dioxide levels in the blood [11] .

By contrast, the autonomic nervous system (ANS) of the brain not only governs such physiological functions but can dynamically interact with environmental factors, allowing the body to adapt to external stimuli. The ANS consists of the sympathetic and parasympathetic nervous systems, which work in opposition to maintain homeostasis. When an individual is under stress, the sympathetic nervous system activates the “fight or flight” response, increasing heartbeat, elevating blood pressure, and diverting blood flow to essential muscles [12]. Conversely, the parasympathetic nervous system acts to restore balance by reducing heart rate, modulating breathing, and enhancing digestive functions once the stressor is removed [13] .

These dynamic regulatory functions demonstrate the brain’s superior capacity for adaptation compared to other organs, as it adjusts bodily processes not only based on internal needs but also in response to external environmental challenges.

3.2. Behavioral control and goal orientation

The brain exercises control over a wide range of behaviors, from simple reflexes to highly complex, goal-oriented actions. Unlike basic physiological reflexes, which are typically automatic and involuntary, goal-directed behaviors require the integration of multiple brain systems to evaluate options, make decisions, and execute plans. At the core of this system lies the cortico-basal ganglia-thalamic circuitry, which serves as the neural basis for goal-directed behavior. This circuit is crucial for controlling motivational and reward systems, ensuring that the brain selects behaviors that maximize long-term benefits and align with an individual’s goals [14].

In this circuit, the prefrontal cortex plays a pivotal role in decision-making, evaluating different behavioral strategies based on potential outcomes. The basal ganglia are responsible for the acquisition of reward and punishment-based learning, which guides behavior through reinforcement learning. Finally, the thalamus acts as a relay station, transmitting information between cortical and subcortical structures to help coordinate actions [15]. This multilayered system allows for the rapid adaptation of behavior to changes in the environment, ensuring that appropriate responses can be generated even in complex, dynamic situations.

For example, when an individual sets a long-term goal, such as preparing for a marathon, the brain must manage not only the physical demands of training but also the psychological and motivational challenges. The prefrontal cortex evaluates progress and makes adjustments to the training plan, while the basal ganglia reinforce positive behaviors, such as consistent running, through reward mechanisms. This coordination allows the individual to stay focused on long-term goals despite short-term difficulties [16]. The adaptability of this system enables the brain to respond to a wide array of challenges, ensuring that goal-oriented behavior is efficiently executed.

4. Evolutionary Advantages Conferred by the Brain

4.1. Rapid adaptation and learning ability

The brain’s remarkable adaptability is largely attributed to the plasticity of its neural networks. Neural plasticity allows the brain to rewire its connections and even alter gene expression at the molecular level in response to environmental demands, enabling rapid adaptation to new situations and challenges [17]. This dynamic capability facilitates not only learning but also recovery from injury and the ability to acquire new skills. As Kolb and Whishaw pointed out, plasticity is essential for adapting to changing environments, as it permits neuronal connectivity to be restructured to meet the demands of novel tasks[17].

Furthermore, neuroimaging studies provide evidence that the brain continuously reshapes itself at a functional level to enhance task performance. Raichle and Mintun demonstrated that brain regions involved in task execution can increase their efficiency when presented with new or repeated tasks, showcasing the brain's capacity for ongoing functional adaptation [18]. This capacity for rapid learning and reorganization underscores the brain’s unparalleled ability to respond to both internal and external changes, ensuring optimal performance in ever-changing environments.

4.2. Intelligence and creativity

The brain’s capacity for intelligence and creativity is deeply rooted in its ability to solve complex problems and generate innovative ideas. This process is supported by the integration of information from various sensory channels, predominantly facilitated by the prefrontal and parietal cortices. These regions work together to develop new cognitive strategies and solutions, making them fundamental to both logical reasoning and creative thinking [19]. Intelligence and creativity in the brain are not isolated phenomena but rather emerge from the brain’s ability to synthesize vast amounts of information and apply it to novel situations.

For instance, research involving artists and musicians has demonstrated that creative thinking involves the interaction of different brain regions, particularly the prefrontal cortex, which is responsible for planning and decision-making, and the parietal cortex, which facilitates the integration of sensory input[20]. During the creation of a work of art or a musical composition, the prefrontal cortex evaluates various artistic or musical possibilities, while the parietal cortex processes visual and auditory information to guide the creative output. This coordination allows individuals to produce innovative and aesthetically pleasing results, demonstrating how the brain harnesses intelligence and creativity in real-world tasks.

The brain’s problem-solving capabilities are not limited to simple tasks but extend to driving technological innovation and cultural advancements. These cognitive processes are key drivers of human evolution, as they enable humans to adapt to new environments, overcome challenges, and improve the tools and technologies that define modern society. It is through this continual process of innovation and adaptation that human intelligence and creativity have become powerful forces in shaping both biological and societal progress [21].

5. Conclusion

The human brain is a highly sophisticated organ with the remarkable capacity to undertake intricate cognitive operations, regulate physiological processes, and adapt to novel challenges. This paper examines the interconnections between the brain’s higher cognitive functions, consciousness, self-awareness, learning, memory, and behavioral control. The research addressed the key questions raised in the introduction, namely how the brain governs complex tasks such as decision-making and creativity, and how it regulates physiological functions and adapts to new environments. Through a review of neuroimaging studies and neurological research, the paper concludes that the brain’s superior adaptability and problem-solving capabilities arise from the dynamic interaction between different brain regions, including the prefrontal cortex, basal ganglia, and hippocampus.

In terms of higher cognition, it was demonstrated that the prefrontal cortex plays a pivotal role in decision-making and problem-solving by integrating information from various sensory channels. Similarly, the paper explored the brain’s plasticity, highlighting how synaptic connections allow for learning and memory formation. The research also showcased the brain’s ability to regulate behavior through the cortico-basal ganglia-thalamic circuitry, driving goal-directed behavior and ensuring survival in changing environments.

Despite the insights gained, this paper has several limitations. The scope of this research focused primarily on neuroimaging and behavioral studies, leaving out molecular and genetic aspects of brain function. Future research could delve deeper into how genetic variations influence cognitive functions and explore potential therapeutic applications, especially in neurodegenerative diseases.

In conclusion, the brain’s unparalleled adaptability and cognitive capabilities make it a central force in human evolution and societal progress. Future research should aim to better understand the molecular underpinnings of these processes and explore ways to harness the brain’s plasticity for treatment and enhancement of cognitive functions.


References

[1]. Kandel, E. R., Schwartz, J. H., & Jessell, T. M. (2000). Principles of neural science (4th ed.). McGraw-Hill.

[2]. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24(1), 167-202. https://doi.org/10.1146/annurev.neuro.24.1.167

[3]. Damasio, H., Grabowski, T., Frank, R., Galaburda, A. M., & Damasio, A. R. (1994). The return of Phineas Gage: Clues about the brain from the skull of a famous patient. Science, 264(5162), 1102-1105. https://doi.org/10.1126/science.8178168

[4]. Bechara, A., Damasio, H., & Damasio, A. R. (2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex, 10(3), 295-307. https://doi.org/10.1093/cercor/10.3.295

[5]. Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004). Inhibition and the right inferior frontal cortex: One decade on. Trends in Cognitive Sciences, 8(4), 170-177. https://doi.org/10.1016/j.tics.2004.02.010

[6]. Alexander, G. E., & Crutcher, M. D. (1990). Neural representations of the target (goal) of visually guided arm movements in three motor areas of the monkey. Journal of Neurophysiology, 64(1), 164-178. https://doi.org/10.1152/jn.1990.64.1.164

[7]. Friston, K. J., & Price, C. J. (2001). Generative models, brain function, and neuroimaging. Scandinavian Journal of Psychology, 42(3), 167-177. https://doi.org/10.1111/1467-9450.00228

[8]. Kandel, E. R., Schwartz, J. H., & Jessell, T. M. (2014). Principles of Neural Science (5th ed.). McGraw-Hill.

[9]. Kolb, B., & Whishaw, I. Q. (2015). An Introduction to Brain and Behavior (5th ed.). Worth Publishers.

[10]. Guyton, A. C., & Hall, J. E. (2016). Textbook of Medical Physiology (13th ed.). Elsevier.

[11]. West, J. B. (2012). Respiratory Physiology: The Essentials (9th ed.). Lippincott Williams & Wilkins.

[12]. McCorry, L. K. (2007). Physiology of the autonomic nervous system. American Journal of Pharmaceutical Education, 71(4), 78. https://doi.org/10.5688/aj710478

[13]. Berntson, G. G., Cacioppo, J. T., & Quigley, K. S. (1994). Autonomic determinism: The modes of autonomic control, the doctrine of autonomic space, and the laws of autonomic constraint. Psychological Review, 101(4), 713-728. https://doi.org/10.1037/0033-295X.101.4.713

[14]. Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986). Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience, 9, 357-381. https://doi.org/10.1146/annurev.ne.09.030186.002041

[15]. Haber, S. N. (2003). The primate basal ganglia: Parallel and integrative networks. Journal of Chemical Neuroanatomy, 26(4), 317-330. https://doi.org/10.1016/j.jchemneu.2003.10.003

[16]. Schultz, W. (2006). Behavioral theories and the neurophysiology of reward. Annual Review of Psychology, 57, 87-115. https://doi.org/10.1146/annurev.psych.56.091103.070229

[17]. Kolb, B., & Whishaw, I. Q. (1998). Brain plasticity and behavior. Annual Review of Psychology, 49(1), 43-64. https://doi.org/10.1146/annurev.psych.49.1.43

[18]. Raichle, M. E., & Mintun, M. A. (2006). Brain work and brain imaging. Annual Review of Neuroscience, 29, 449-476. https://doi.org/10.1146/annurev.neuro.29.051605.112819

[19]. Dehaene, S., & Changeux, J. P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70(2), 200-227. https://doi.org/10.1016/j.neuron.2011.03.020

[20]. Limb, C. J., & Braun, A. R. (2008). Neural substrates of spontaneous musical performance: An FMRI study of jazz improvisation. PLoS One, 3(2), e1679. https://doi.org/10.1371/journal.pone.0001679

[21]. Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin, 136(5), 822-848. https://doi.org/10.1037/a0019749


Cite this article

Zhang,Y. (2024). Research on General Brain Functions. Theoretical and Natural Science,70,56-61.

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Volume title: Proceedings of the 4th International Conference on Biological Engineering and Medical Science

ISBN:978-1-83558-771-3(Print) / 978-1-83558-772-0(Online)
Editor:Alan Wang
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Conference date: 25 October 2024
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Volume number: Vol.70
ISSN:2753-8818(Print) / 2753-8826(Online)

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References

[1]. Kandel, E. R., Schwartz, J. H., & Jessell, T. M. (2000). Principles of neural science (4th ed.). McGraw-Hill.

[2]. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24(1), 167-202. https://doi.org/10.1146/annurev.neuro.24.1.167

[3]. Damasio, H., Grabowski, T., Frank, R., Galaburda, A. M., & Damasio, A. R. (1994). The return of Phineas Gage: Clues about the brain from the skull of a famous patient. Science, 264(5162), 1102-1105. https://doi.org/10.1126/science.8178168

[4]. Bechara, A., Damasio, H., & Damasio, A. R. (2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex, 10(3), 295-307. https://doi.org/10.1093/cercor/10.3.295

[5]. Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004). Inhibition and the right inferior frontal cortex: One decade on. Trends in Cognitive Sciences, 8(4), 170-177. https://doi.org/10.1016/j.tics.2004.02.010

[6]. Alexander, G. E., & Crutcher, M. D. (1990). Neural representations of the target (goal) of visually guided arm movements in three motor areas of the monkey. Journal of Neurophysiology, 64(1), 164-178. https://doi.org/10.1152/jn.1990.64.1.164

[7]. Friston, K. J., & Price, C. J. (2001). Generative models, brain function, and neuroimaging. Scandinavian Journal of Psychology, 42(3), 167-177. https://doi.org/10.1111/1467-9450.00228

[8]. Kandel, E. R., Schwartz, J. H., & Jessell, T. M. (2014). Principles of Neural Science (5th ed.). McGraw-Hill.

[9]. Kolb, B., & Whishaw, I. Q. (2015). An Introduction to Brain and Behavior (5th ed.). Worth Publishers.

[10]. Guyton, A. C., & Hall, J. E. (2016). Textbook of Medical Physiology (13th ed.). Elsevier.

[11]. West, J. B. (2012). Respiratory Physiology: The Essentials (9th ed.). Lippincott Williams & Wilkins.

[12]. McCorry, L. K. (2007). Physiology of the autonomic nervous system. American Journal of Pharmaceutical Education, 71(4), 78. https://doi.org/10.5688/aj710478

[13]. Berntson, G. G., Cacioppo, J. T., & Quigley, K. S. (1994). Autonomic determinism: The modes of autonomic control, the doctrine of autonomic space, and the laws of autonomic constraint. Psychological Review, 101(4), 713-728. https://doi.org/10.1037/0033-295X.101.4.713

[14]. Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986). Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience, 9, 357-381. https://doi.org/10.1146/annurev.ne.09.030186.002041

[15]. Haber, S. N. (2003). The primate basal ganglia: Parallel and integrative networks. Journal of Chemical Neuroanatomy, 26(4), 317-330. https://doi.org/10.1016/j.jchemneu.2003.10.003

[16]. Schultz, W. (2006). Behavioral theories and the neurophysiology of reward. Annual Review of Psychology, 57, 87-115. https://doi.org/10.1146/annurev.psych.56.091103.070229

[17]. Kolb, B., & Whishaw, I. Q. (1998). Brain plasticity and behavior. Annual Review of Psychology, 49(1), 43-64. https://doi.org/10.1146/annurev.psych.49.1.43

[18]. Raichle, M. E., & Mintun, M. A. (2006). Brain work and brain imaging. Annual Review of Neuroscience, 29, 449-476. https://doi.org/10.1146/annurev.neuro.29.051605.112819

[19]. Dehaene, S., & Changeux, J. P. (2011). Experimental and theoretical approaches to conscious processing. Neuron, 70(2), 200-227. https://doi.org/10.1016/j.neuron.2011.03.020

[20]. Limb, C. J., & Braun, A. R. (2008). Neural substrates of spontaneous musical performance: An FMRI study of jazz improvisation. PLoS One, 3(2), e1679. https://doi.org/10.1371/journal.pone.0001679

[21]. Dietrich, A., & Kanso, R. (2010). A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin, 136(5), 822-848. https://doi.org/10.1037/a0019749