Medicine
Brain's hemispheres talk to each other through shared signals
Researchers discover how prefrontal cortex processing is connected across the brain.
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1 min read
In a groundbreaking study published in Nature Communications, researchers McDonnell ME et al. shed light on the intricate workings of the brain's prefrontal cortex. By investigating interactions between brain areas, the team aimed to tease apart global processing from local interactions.
The researchers employed a novel statistical approach called pCCA-FA to analyze trial-to-trial variability in neuronal activity during spatial memory tasks. This method allowed them to identify substantial shared variability among neurons within each population, which was found to be linked to an arousal process. Notably, this shared variability was also observed across populations.
The study's findings suggest that global cognitive processing is not solely confined to local networks but is instead modulated by brainwide signals, such as arousal. By leveraging multi-area recordings, the researchers were able to reveal aspects of brain function that would be hidden in single-area recordings.
As we contemplate the workings of our own brains, it becomes clear that the boundaries between individual areas are not as rigid as once thought. Instead, they exist within a complex web of interactions, with global processes influencing local ones. This discovery invites us to reconsider our understanding of brain function and its relationship to the world around us.
1 min read
In a fascinating study published in Nature communications, researchers shed light on how our brains process information. They discovered that brain functions involve two types of processing: local networks and modulation from other parts of the brain, such as arousal.
The researchers used a unique approach to understand these interactions. They recorded the activity of neurons in both hemispheres of the prefrontal cortex while monkeys performed a spatial memory task. By analyzing trial-to-trial variability in neuronal activity, they found that many neurons within each population shared patterns of activity with other populations. This suggests that there is more to our brains than meets the eye.
This discovery matters because it shows us how we can use recordings from different parts of the brain to better understand its functions. By uncovering these hidden aspects, we can gain a deeper understanding of how our brains work and potentially develop new ways to diagnose or treat cognitive disorders.
1 min read
In the mind of a monkey, memories of where it found food or shelter were stored in a special place called the prefrontal cortex. Scientists wanted to know how this part of the brain worked together with other parts to help it remember things.
Using special tools to record the activity of many neurons in the monkey's brain, researchers discovered that different groups of neurons in the prefrontal cortex talked to each other and also received messages from other parts of the brain. These messages were like a wake-up call, making the neurons work harder and more quickly. This shared signal was linked to how alert and focused the monkey was. By studying these connections, scientists can now learn more about how our own brains work together to help us remember things.
The people behind the work
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McDonnell ME et al.
Author
Published in Nature communications
Source: Nature communications
Sources & Verification
Every statement in this story is drawn from the facts below. Each is linked to a primary or reputable source — follow any citation to check it for yourself.
- Brain functions involve processing in local networks as well as modulation from brainwide signals, such as arousal. Nature communications
- Dissecting the contributions of populations of neurons to these functions requires knowledge of interactions between brain areas. Nature communications
- We investigated these interactions using dual hemisphere recordings of prefrontal cortex in monkeys performing a spatial memory task. Nature communications
- To tease apart global processing from local interactions, we applied a novel statistical approach called pCCA-FA (a combination of probabilistic canonical correlation analysis and factor analysis) to analyze trial-to-trial variability in neuronal activity. Nature communications
- We found substantial shared variability among neurons within each population, much of which was actually shared across populations and linked to an arousal process. Nature communications
- Our work presents a path by which we can leverage multi-area recordings to reveal aspects of brain functions that are hidden in single-area recordings. Nature communications
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