Scientists from the University of Sydney and Fudan University have unearthed human brain signals traversing the outer layer of neural tissue, which spontaneously organize into patterns resembling swirling spirals.
The study, released in the latest issue of Nature Human Behaviour, suggests that these pervasive spirals, detected as brain signals on the cortex during periods of rest and cognitive tasks, play a crucial role in orchestrating brain activity and cognitive functions.
Associate Professor Pulin Gong, the senior author from the School of Physics in the Faculty of Science, highlighted the potential of this finding to propel the development of highly advanced computing systems, drawing inspiration from the intricate mechanisms of the human brain. This breakthrough paves the way for novel avenues of comprehension regarding the inner workings of the brain, offering valuable insights into the fundamental operations of the human mind. By exploring the roles these spirals play, it may aid medical researchers in gaining a deeper understanding of brain disorders like dementia and their impact on cognitive function.
Associate Professor Gong, a member of the Complex Systems research group in Physics, emphasized the potential of unravelling the connection between these spirals and cognitive processing. He expressed that such insights could greatly enhance our comprehension of the dynamic nature and functionalities of the brain.
“These intricate spiral patterns showcase intricate and complex dynamics as they traverse the brain’s surface, revolving around central points referred to as phase singularities,” Prof. Gong explained.
“Similar to the way vortices behave in turbulence, these spirals engage in intricate interactions that play a vital role in organizing the intricate activities within the brain.
“The intricate interactions among multiple co-existing spirals enable neural computations to occur in a distributed and parallel manner, resulting in remarkable computational efficiency.”
Yiben Xu, the lead author of the study and a PhD student from the School of Physics, highlighted that the placement of these spirals on the cortex provides them with the potential to connect activities in various sections or networks of the brain, effectively serving as bridges of communication. Additionally, many of these spirals are sufficiently large to span across multiple networks.
The cortex, or the cerebral cortex, constitutes the outermost layer of the brain and plays a pivotal role in numerous intricate cognitive functions such as perception, memory, attention, language, and consciousness.
Xu pointed out that a notable characteristic of these brain spirals is their tendency to emerge precisely at the boundaries that delineate distinct functional networks within the brain.
“Through their rotational motion, they effectively coordinate the flow of activity between these networks.
“Our research findings demonstrate that these interacting brain spirals facilitate the flexible reconfiguration of brain activity during tasks related to natural language processing and working memory. Remarkably, they achieve this by dynamically altering their rotational directions.”
The scientists collected their findings by conducting functional magnetic resonance imaging (fMRI) brain scans on a group of 100 young adults. They analyzed the data using adapted methodologies employed to decipher intricate wave patterns observed in turbulence.
Traditionally, neuroscience has primarily focused on studying the interactions between individual neurons to unravel the workings of the brain. However, there is an emerging field of science that delves into broader processes occurring within the brain, aiming to shed light on its enigmatic complexities. This approach seeks to explore larger-scale phenomena and unveil new insights into the mysteries of the brain.
Prof. Gong noted that as we unravel the mysteries surrounding brain activity and delve into the mechanisms that govern its coordination, we are edging closer to fully unlocking the potential for understanding cognition and brain function.
