Summary: Researchers suggest understanding fluctuations in brain networks may reveal how some people are able to learn new tasks more quickly.
Communication between different areas of our brain increases when we are faced with a difficult task. Understanding these fluctuating patterns could reveal why some people learn new tasks more quickly.
For the past 100 years, scientists have understood that different areas of the brain serve unique purposes. Only recently have they realized that the organization isn’t static. Rather than having strictly defined routes of communication between different areas, the level of coordination between different parts of the brain seems to ebb and flow.
Now, by analyzing the brains of a large number of people at rest or carrying out complex tasks, researchers at Stanford University have learned that the integration between those brain regions also fluctuates. When the brain is more integrated people do better on complex tasks. The research was published in Neuron.
“The brain is stunning in its complexity and I feel like, in a way, we’ve been able to describe some of its beauty in this story,” said study lead author Mac Shine, a postdoctoral researcher in the lab of Russell Poldrack, a professor of psychology “We’ve been able to say, ‘Here’s this underlying structure that you would never have guessed was there, that might help us explain the mystery of why the brain is organized in the way that it is.’”
Brain connections at rest and at work
In a three-part project, the researchers used open source data from the Human Connectome Project to examine how separate areas of the brain coordinate their activity over time, both while people are at rest and while they are attempting a challenging mental task. They then tested a potential neurobiological mechanism to explain these findings.
For the resting state condition, the researchers used a novel analysis technique to examine functional magnetic resonance imaging (fMRI) data – which shows in real time which areas of the brain are active – of people who weren’t doing any particular task. The analysis estimates the amount of blood flow in pairs of brain regions and then uses the mathematics of graph theory to summarize the way that the whole network of the brain is organized. They found that even without any intentional stimulation, the brain network fluctuates between periods of higher and lower coordinated blood flow in the different areas of the brain.
To determine whether these fluctuations were relevant for the function of the brain, the researchers used fMRI data from people who had successfully performed a challenging memory test.
The researchers found that the brains of participants were more integrated while working on this complicated task than they were during quiet rest. Scientists have previously shown that the brain is inherently dynamic but further statistical analysis in this study revealed that the brain was most interconnected in people who performed the test fastest and with the greatest accuracy.
“My background is in cognitive psychology and cognitive neuroscience, and stories about how the brain works that don’t relate back to behavior don’t really do much for me,” said co-author Poldrack. “But this research shows these really clear relationships between how the brain is functioning at a network level and how the person’s actually performing on these psychological tasks.”
Amplifying brain interconnectedness
As a final step in their study, the researchers measured pupil size to try and tease out how the brain coordinates this change in connectivity. Pupil size is an indirect measure of the activity of a small region in the brainstem called the locus coeruleus that is thought to amplify or mute signals across the entire brain. Up to a certain point, increases in pupil size likely indicate greater amplification of strong signals and greater muting of weak signals across the brain.
The researchers found that pupil size roughly tracked with changes in brain connectivity during rest, in that larger pupils were associated with greater connectedness. This suggests that the noradrenaline coming from the locus coeruleus might be what drives the brain to become more integrated during highly complicated cognitive tasks, allowing a person to perform well on that task.
The value of curiosity-driven science
The researchers plan to further investigate the connection between neural gain and integration in the brain. They also want to figure out how universal these findings are to other behaviors, such as attention and memory. This research may also eventually help us better understand cognitive disorders, such as Alzheimer’s disease or Parkinson’s disease, but Shine stressed that this was a curiosity-driven investigation, fueled by the passion to simply know more about the brain.
“I think we were really lucky here, in that we had an exploratory question that bore fruit,” said Shine. “Now, we’re in a position where we can ask new questions that will hopefully help us to make progress in understanding the brain.”
Additional authors of the paper, titled “The Dynamics of Functional Brain Networks: Integrated Network States During Cognitive Task Performance,” include Patrick G. Bissett, Oluwasanmi Koyejo, Krzysztof J. Gorgolewski and Craig A. Moodie of Stanford, along with Peter T. Bell of the University of Queensland and Joshua H. Balsters of ETH Zurich.
Funding: This work was supported by Stanford Bio-X, the Stanford Neurosciences Institute, the National Health and Medical Research Council, and the National Institute on Drug Abuse.
Source: Taylor Kubota – Stanford
Image Source: This NeuroscienceNews.com image is credited to Mac Shine.
Original Research: Abstract for “The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance” by James M. Shine, Patrick G. Bissett, Peter T. Bell, Oluwasanmi Koyejo, Joshua H. Balsters, Krzysztof J. Gorgolewski, Craig A. Moodie, and Russell A. Poldrack in Neuron. Published online September 29 2016 doi:10.1016/j.neuron.2016.09.018
[cbtabs][cbtab title=”MLA”]Stanford. “How a Fluctuating Brain Network May Make Us Better Thinkers.” NeuroscienceNews. NeuroscienceNews, 30 September 2016.
<https://neurosciencenews.com/thinking-brain-network-fluctuations-5165/>.[/cbtab][cbtab title=”APA”]Stanford. (2016, September 30). How a Fluctuating Brain Network May Make Us Better Thinkers. NeuroscienceNews. Retrieved September 30, 2016 from https://neurosciencenews.com/thinking-brain-network-fluctuations-5165/[/cbtab][cbtab title=”Chicago”]Stanford. “How a Fluctuating Brain Network May Make Us Better Thinkers.” https://neurosciencenews.com/thinking-brain-network-fluctuations-5165/ (accessed September 30, 2016).[/cbtab][/cbtabs]
The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance
•The human brain network traverses segregated and integrated states over time
•Integrated states enable fast, effective performance on an N-back task
•Integrated states track with fluctuations in pupil diameter
•Cognitive performance relates to the dynamic reorganization of brain architecture
Higher brain function relies upon the ability to flexibly integrate information across specialized communities of brain regions; however, it is unclear how this mechanism manifests over time. In this study, we used time-resolved network analysis of fMRI data to demonstrate that the human brain traverses between functional states that maximize either segregation into tight-knit communities or integration across otherwise disparate neural regions. Integrated states enable faster and more accurate performance on a cognitive task, and are associated with dilations in pupil diameter, suggesting that ascending neuromodulatory systems may govern the transition between these alternative modes of brain function. Together, our results confirm a direct link between cognitive performance and the dynamic reorganization of the network structure of the brain.
“The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance” by James M. Shine, Patrick G. Bissett, Peter T. Bell, Oluwasanmi Koyejo, Joshua H. Balsters, Krzysztof J. Gorgolewski, Craig A. Moodie, and Russell A. Poldrack in Neuron. Published online September 29 2016 doi:10.1016/j.neuron.2016.09.018