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The Brain: A Team of Networks at Work

Discover how different brain networks communicate in our daily lives.

Dian Lyu, Ram Adapa, Robin L. Carhart-Harris, Leor Roseman, Adrian M. Owen, Lorina Naci, David K. Menon, Emmanuel A. Stamatakis

― 6 min read


Brain Networks: A Hidden Brain Networks: A Hidden Symphony thoughts and actions. Explore how brain networks shape our
Table of Contents

The human brain is a complex organ that performs many functions simultaneously. Scientists study how different parts of the brain work together. One way to do this is by looking at brain networks. These networks are groups of brain areas that communicate with each other and are linked to specific functions, such as thinking, memory, and feeling.

What Are Brain Networks?

Brain networks are like a team of players working together to achieve a common goal. Each player, or brain area, has a specific role, but they must collaborate to function well. Some well-known networks include the Default Mode Network (DMN) and the Frontoparietal Control Network (FPCN). The DMN is more active when a person is at rest and daydreaming, while the FPCN kicks in when you’re doing tasks that require focus and effort.

Intrinsic Functional Connectivity Networks (ICNs)

Intrinsic Functional Connectivity Networks, or ICNs for short, represent the brain's natural activity patterns when a person is not engaged in a specific task. Scientists have identified several of these networks through various techniques, such as brain scans. They can visualize how different areas of the brain light up in response to internal thoughts and feelings.

The Default Mode Network (DMN)

The DMN includes several brain regions that become active when a person isn't focused on the outside world. Imagine it as a daydreaming zone where you think about the past and future or ponder about what to have for dinner. The DMN is quite active when we are lost in thought, making plans, or recalling memories.

The Frontoparietal Control Network (FPCN)

On the flip side, the FPCN is a bit like the brain’s task manager. This network lights up when a person is working on tasks that require concentration. It’s responsible for managing activities like solving math problems or remembering where you left your keys. When you need to focus, the FPCN ensures your brain doesn’t wander into daydream territory.

The Posterior Precuneus: A Convergence Zone

Now, imagine a busy intersection where the DMN and FPCN meet: welcome to the posterior precuneus (PCu). This spot is crucial for bridging the gap between our daydreaming and focused thoughts. The PCu is located towards the back of the brain and plays a critical role in how the DMN and FPCN interact.

Why Are These Interactions Important?

The connection between the DMN and FPCN highlights how the brain balances different functions. You wouldn’t want to be daydreaming while trying to solve a problem, right? This balance is crucial for effective cognitive function and overall mental health. When everything is working smoothly, thoughts flow freely between dreaming and concentrating.

Brain Activity and Altered States of Consciousness (ASC)

Sometimes, the brain’s regular functioning can shift, leading to altered states of consciousness, or ASCs. This can occur for various reasons, like consuming certain drugs or experiencing extreme fatigue. During these times, the usual patterns of brain activity can change, particularly in the DMN and FPCN.

The Role of Drugs in Brain Function

You might have heard of substances like psychedelics or anesthetics. These substances can bring about unique experiences that alter a person's state of consciousness. Interestingly, when people use these drugs, it can affect how the DMN and FPCN work together in the posterior precuneus.

Researching the Effects of Drugs

Studies have shown that drugs can diminish the usual strength of connections between brain networks. This means that during ASCs, the distinction between daydreaming and concentrating might become blurred. Scientists are keen on understanding how these changes occur and what they could mean for mental health.

The Importance of Repeated Studies

To get a clearer picture of how the brain works during altered states, researchers often use several datasets. These datasets are like a treasure trove of brain activity captured from different individuals under various conditions. By analyzing this wealth of information, scientists can spot patterns and trends that reveal more about our brains.

The Dorsal-Ventral Gradient

One interesting concept in brain research is the dorsal-ventral gradient found in the posterior precuneus. It’s like having a sliding scale that helps us understand how brain activity varies based on location within this area. This gradient can change when a person is in a normal conscious state or experiencing an altered state due to drugs.

Self-Similar Patterns

Researchers have observed self-similar patterns in how brain areas interact. Think of it as a family resemblance; different brain regions look a bit alike when it comes to how they function. This finding helps scientists identify how brain networks operate and how they might shift from one state to another.

Exploring Functional Connectivity (FC)

Functional connectivity (FC) is a term used to describe how different brain areas communicate with each other. If you think of brain networks as a chat room, then FC tells us how often different users (brain areas) are talking to each other. When people are in a normal conscious state, the chat flows smoothly. But during ASCs, the conversations can become disjointed.

Studying Diverse Drug Effects

Different drugs can have different effects on how brain networks function. For instance, psychedelics may create a more chaotic or unpredictable pattern in brain activity, while anesthetic drugs might lead to more uniform patterns. This variability is crucial because it can help scientists understand how drugs impact consciousness.

Why Does This Matter?

Understanding how brain networks behave under different influences is important for mental health and medicine. It can give insights into conditions like depression and anxiety and even help improve treatments for mental and neurological disorders.

The Complex World of Brain Signals

The brain doesn’t just have a single way of operating; it’s more like a variety show with different acts. Each act represents a different set of signals and functions within the brain. Recognizing this complexity is crucial for understanding what happens in our minds.

The Future of Brain Research

As brain imaging technologies continue to improve, scientists will be able to explore these brain networks in greater detail. Future research will likely focus on how we can better understand consciousness, cognition, and the interplay between different brain networks.

Conclusion: The Brain as a Team Player

In the end, thinking of the brain as a team of players is perhaps the best way to understand its functions. Different networks, like the DMN and FPCN, need to work together harmoniously to face the challenges of life. Whether dreaming or focusing, our brains are always in motion, responding to the challenges of the moment. So next time you catch yourself daydreaming or concentrating really hard, remember that a whole team is at work to make it happen!

Original Source

Title: Diminished functional gradient of the precuneus during altered states of consciousness

Abstract: The relationship between the default mode network (DMN) and task-positive networks, such as the frontoparietal control network (FPCN), is a prominent feature of functional connectivity (FC) in the human brain. This relationship is primarily anticorrelated at rest in healthy brains and is disrupted in altered states of consciousness. Although the DMN and FPCN seem to perform distinct and even opposing roles, they are anatomically adjacent and exhibit ambiguous boundaries. To test the hypothesis that the DMN-FPCN distinction manifests probabilistically rather than having absolute anatomical boundaries, we examined the differences in FC along the dorsal-ventral (d-v) axis in the posterior precuneus (PCu), which serves a convergence zone between the DMN and FPCN. Our findings indicate that the connectivity differences along this axis are continuous as characterized by linear slopes. Notably, these linear relationships (i.e., functional gradients of the precuneus/FGp) are present only within the territories of the DMN and FPCN, respectively associating with positive and negative slopes. Furthermore, the gradient is functionally relevant, as its spatial configurations change in specific ways in altered states of consciousness (ASC): the magnitude of FGp is similarly impaired across different types of ASC, while the spatial entropy of FGp differs between psychedelic and sedative states. These results suggest that the DMN and FPCN, while appearing distinct, may originate from a single, integrated mechanism. Significance StatementThis research provides new insights into the brains functional organization underlying human conscious states by examining the relationship between two large-scale networks: the default mode network (DMN) and the frontoparietal control network (FPCN). These networks, which are attuned to handle internal and external information respectively, are often viewed as oppositional. However, our findings indicate they form an integrated system with continuous connectivity. We identified the posterior precuneus as a key convergence point, revealing a gradient of connectivity between the two networks. This gradient flattens during altered states of consciousness induced by psychedelics or sedatives, showing a loss of functional differentiation between the DMN and FPCN.

Authors: Dian Lyu, Ram Adapa, Robin L. Carhart-Harris, Leor Roseman, Adrian M. Owen, Lorina Naci, David K. Menon, Emmanuel A. Stamatakis

Last Update: 2024-12-17 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.17.628862

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.17.628862.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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