Researchers have identified a brain activity pattern that functions as an internal compass for navigation, which could enhance understanding of neurological diseases and improve navigational tech in robotics and AI.
A new study published in Nature Human Behaviour has identified a brain activity pattern that helps prevent us from getting lost.
Researchers at the University of Birmingham and Ludwig Maximilian University of Munich have for the first time been able to pinpoint the location of an internal neural compass which the human brain uses to orientate itself in space and navigate through the environment.
The research identifies finely tuned head direction signals within the brain. The results are comparable to neural codes identified in rodents and have implications for understanding diseases such as Parkinson’s and Alzheimer’s, where navigation and orientation are often impaired.
Challenges and Methods in Neural Activity Measurement
Measuring neural activity in humans while they are moving is challenging as most technologies available require participants to remain as still as possible. In this study, the researchers overcame this challenge by using mobile EEG devices and motion capture.
First author Dr Benjamin J. Griffiths said: “Keeping track of the direction you are heading in is pretty important. Even small errors in estimating where you are and which direction you are heading in can be disastrous. We know that animals such as birds, rats, and bats have neural circuitry that keeps them on track, but we know surprisingly little about how the human brain manages this out and about in the real world.”
Participant Experiments and Results
A group of 52 healthy participants took part in a series of motion-tracking experiments while their brain activity was recorded via scalp EEG. These enabled the researchers to monitor brain signals from the participants as they moved their heads to orientate themselves to cues on different computer monitors.
In a separate study, the researchers monitored signals from 10 participants who were already undergoing intercranial electrode monitoring for conditions such as epilepsy.
All the tasks prompted participants to move their heads, or sometimes just their eyes, and brain signals from these movements were recorded from EEG caps, which measure signals from the scalp, and the intracranial EEG (iEEG), which records data from the hippocampus and neighbouring regions.
After accounting for ‘confounds’ in the EEG recordings from factors such as muscle movement or position of the participant within the environment, the researchers were able to show a finely tuned directional signal, which could be detected just before physical changes in head direction among participants.
Dr Griffiths added: “Isolating these signals enables us to really focus on how the brain processes navigational information and how these signals work alongside other cues such as visual landmarks. Our approach has opened up new avenues for exploring these features, with implications for research into neurodegenerative diseases and even for improving navigational technologies in robotics and AI.”
In future work, the researchers plan to apply their learning to investigate how the brain navigates through time, to find out if similar neuronal activity is responsible for memory.
Reference: “Electrophysiological signatures of veridical head direction in humans” by Benjamin J. Griffiths, Thomas Schreiner, Julia K. Schaefer, Christian Vollmar, Elisabeth Kaufmann, Stefanie Quach, Jan Remi, Soheyl Noachtar and Tobias Staudigl, 6 May 2024, Nature Human Behaviour.
DOI: 10.1038/s41562-024-01872-1
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