How Your Brain Moves for a Cookie
Discover the amazing brain processes behind reaching for a cookie.
Gunnar Blohm, Douglas O. Cheyne, J. Douglas Crawford
― 5 min read
Table of Contents
- The Process of Movement
- Sensory Input
- Transforming Signals
- The Importance of Posture
- Effects of Arm Position
- Types of Motor Codes
- Extrinsic Codes
- Intrinsic Codes
- The Brain in Action
- Brain Areas Involved
- Looking for Evidence
- Findings from Studies
- Posture Matters
- Timing of Brain Activity
- What It Means for Us
- Everyday Movements
- Implications for Recovery
- Conclusion
- Original Source
When you reach for a cookie on the table, your brain performs a high-speed calculation. It takes in visual information, decides how to move your arm, and sends signals to the muscles to get the job done. But how exactly does the brain turn what you see into the precise movements of your muscles? That’s the mystery we will unpack here!
The Process of Movement
Sensory Input
First, let’s talk about sensory input. This is the information your brain gets from your eyes as you spot that delicious cookie. Your brain creates a mental picture of where the cookie is in relation to your body. This is the starting point of the whole process.
Transforming Signals
Once your brain knows where the cookie is, it needs to figure out how to get your hand there. This involves transforming the visual signals into commands that the muscles can understand. Imagine trying to give directions to a friend to find that cookie without ever saying the word "cookie". That’s what your brain is doing!
The Importance of Posture
You might be surprised to know that posture plays a crucial role in this process. Depending on how your arm is positioned, the brain needs to adjust its calculations. For instance, if your palm is facing up or down can change how your wrist moves as you point. So, if you’ve been caught reaching for a cookie while sitting on the couch versus standing at the kitchen counter, blame your posture if the cookie seems to be out of reach!
Effects of Arm Position
When the arm is in a specific position, like palm facing down, the brain sends commands that might be different from when the palm is facing up. This means that your brain is not just concerned about where the cookie is, but also how your arm needs to be positioned to grab it. It’s like trying to plug in your phone in a dark room; you need to feel around for the right angle!
Types of Motor Codes
When we talk about how the brain codes movement, we generally refer to two types: extrinsic and intrinsic codes.
Extrinsic Codes
Extrinsic coding is related to the external environment. It’s like telling someone to throw a ball in a straight line toward a target. The brain focuses on how far and in which direction that target is. If you’re trying to toss that ball to your friend, you’re thinking about the distance and direction, forgetting about how your arm is positioned.
Intrinsic Codes
On the other hand, intrinsic coding relates to the muscles themselves. It’s like when you tell your arm, “Hey, move this way!” based on how it feels. This is about the actual movements of the muscles and joints, thinking less about the distance to the cookie and more about how to get your fingers to wrap around it.
The Brain in Action
Brain Areas Involved
Several areas of the brain play a part in these calculations. Some are dedicated to processing Sensory Inputs, while others manage movement. They work together like an orchestra, with each part playing its own role in the symphony of movement.
Looking for Evidence
Scientists study people while they perform various tasks to find out how the brain does this. In experiments, people might point to different objects on a screen while lying inside a giant magnet (also known as MEG). This setup helps scientists track which areas of the brain light up during different movements.
Findings from Studies
Posture Matters
Researchers have found that posture significantly affects how the brain codes movements. Different arm positions can lead to different brain activity when planning a movement. So, if you’re planning to grab that cookie from a high shelf while standing on tiptoes, your brain is likely firing in a unique way compared to if you were simply sitting down.
Timing of Brain Activity
Another interesting finding is that the brain seems to activate intrinsic codes before extrinsic ones. This means that the brain may first decide how to move your muscles before figuring out the distance to the cookie. It’s like prepping your hands to catch the cookie before you even see it flying through the air!
What It Means for Us
Everyday Movements
Understanding how the brain processes movements can help us in everyday tasks. If you’re aware of how your posture affects your movements, you might find it easier to reach for that cookie or even throw a ball!
Implications for Recovery
This knowledge is also crucial for rehabilitation. People recovering from injuries can benefit from understanding how to adapt their movements. Therapists can tailor exercises to improve movement planning and execution, ensuring that patients are aware of how their body positioning affects their recovery.
Conclusion
So, the next time you reach for that cookie, remember that your brain is doing a lot of work behind the scenes. It’s processing visual information, considering your arm's posture, and transforming all of that into the perfect muscle commands. And it all happens in a matter of milliseconds! Who knew reaching for a snack could be so complex?
With all this knowledge, you might even feel a bit more graceful next time you stretch for that delicious treat. Just don’t forget to enjoy it afterward!
Title: MEG signals reveal arm posture coding and intrinsic movement plans in parietofrontal cortex
Abstract: Movement planning processes must account for body posture to accurately convert sensory signals into movement plans. While movement plans can be computed relative to the world (extrinsic), intrinsic muscle commands tuned for current limb posture are ultimately needed to execute spatially accurate movements. The whole-brain topology and dynamics of this process are largely unknown. Here, we use high spatiotemporal resolution magnetoencephalography (MEG) in humans combined with a Pro-/Anti-wrist pointing task with 2 opposing forearm postures to investigate this question. First, we computed cortical source activity in 16 previously identified bilateral cortical areas (Alikhanian, et al., Frontiers in Neuroscience 2013). We then contrasted oscillatory activity related to opposing wrist postures to find posture coding and test when and where extrinsic and intrinsic motor codes occurred. We found a distinct pair of overlapping networks coding for posture (predominantly in {gamma} band) vs. posture-specific movement plans ( and {beta}). Some areas (e.g., pIPS) only showed extrinsic motor coding, and others (e.g., AG) only showed intrinsic coding, but the majority showed both types of codes. In the latter case, intrinsic codes appeared slightly before extrinsic codes and persisted in parallel across different cortical areas. These findings are consistent with two cortical networks for 1) direct feed-forward sensorimotor transformations to intrinsic muscle coordinates (for rapid control) and 2) computations of extrinsic spatial coordinates, possibly for use in higher-level aspects of visually-guided action, such as spatial updating and internal performance monitoring. Significance statement / author summaryIt is thought that the brain incorporates posture into extrinsic spatial codes to compute intrinsic (muscle-centered) motor commands, but the whole-brain temporal dynamics of this process is unknown. Here we employed human magneto-encephalography (MEG) to track this process across 16 bilateral cortical sites. We identified two, largely overlapping subnetworks for posture-dependent intrinsic codes, and extrinsic spatial coding. Surprisingly, the direct transformation from sensorimotor coordinates to intrinsic commands preceded the appearance of extrinsic codes, suggesting that extrinsic motor codes are derived from intrinsic codes for higher-level cognitive purposes.
Authors: Gunnar Blohm, Douglas O. Cheyne, J. Douglas Crawford
Last Update: 2024-12-02 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.12.02.625906
Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.02.625906.full.pdf
Licence: https://creativecommons.org/licenses/by/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.