• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
  • HSE University
  • News
  • Russian Research Team Gains Deeper Insight into the Workings of the Human Brain during Group Problem Solving

Russian Research Team Gains Deeper Insight into the Workings of the Human Brain during Group Problem Solving

Russian Research Team Gains Deeper Insight into the Workings of the Human Brain during Group Problem Solving

© iStock

A team of Russian researchers with the participation of a leading researcher at HSE University, Ekaterina Pechenkova, found that during group problem solving the components of the social brain are co-activated, but they do not increase their coupling during cooperation as would be suggested for a holistic network. The study was published in Frontiers in Human Neuroscience.

Social neuroscience studies examine the ‘social brain’, a hypothetical network of different areas of the brain responsible for interacting with other people.

In this science, the brain of a person is most often studied while the person observes interactions between others without taking part in them themselves. This is due to the complexity of conducting experiments with active communication. Modern equipment for studying the brain is not adapted to situations in which a person can freely move and talk during the scanning process.

Meanwhile, in experiments with passive observation of others, it is possible to detect only individual components of the social brain. It is not possible to view the network as a whole as it functions.

In order to better understand the network, researchers must be able to observe subjects as they engage in tasks that are more complex and closer to those they encounter in real life—such as group problem solving.

One such study was carried out by a team of Russian scientists from institutions including the Research Institute of Neuropsychology of Speech and Writing (Moscow) and the Federal Center of Treatment and Rehabilitation of the Russian Ministry of Health. The study involved 24 teams of 3 people, who were recruited from among Moscow players of the ‘What? Where? When?’ quiz game. In the study, participants had to solve Raven-like matrix problems both in small groups and individually.

The study lasted four hours and consisted of two parts that each contained 60 problems. When solving the problems as a group, each team completed both a practice session in a classroom and a scanning session, in which one subject was placed in an MRI scanner while their two teammates sat next to them on each side. Group and individual tasks alternated. The individual task was solved only by one team member, who was in the MRI machine in the second part of the experiment. The participants had about 40 seconds to solve each matrix. On average, teams solved 44 out of 60 problems correctly, while those working individually solved only 34 problems.

The study showed that when solving problems as a group, as opposed to individually, the social brain components described in the literature are additionally co-activated but not synchronized. In other words, they do not form a holistic, jointly working system. However, a readjustment occurs in the interaction between the brain’s basic networks: the researchers observed a decreasing connectivity between the language and the salience networks in the group vs. individual activity conditions. The scientists have yet to figure out why these particular networks are reconfigured during social interaction.

The components of the social brain include areas such as the medial prefrontal cortex, the pole of the temporal lobe, the temporoparietal junction, the precuneus, and other areas. Studies confirm that these zones are co-activated when various social stimuli are presented, such as photographs or descriptions of how people interact with others.

In addition, when people work together, structures of the so-called ‘default’ mode network became more involved. This observation may support the fact that it is easier to solve problems in a group setting, because less personal cognitive effort is required.

‘Another explanation is that the default network is by no means passive and provides the processes necessary for cooperative communication,’ says HSE researcher Ekaterina Pechenkova, one of the study authors. ‘These supposed functions of the zones involved in the default network include, first of all, the ability to mentalize, or to understand that other people have thoughts and experiences, as well as to reflect on their own thoughts and feelings.’

The study involving players of the quiz game ‘What? Where? When?’ allowed the researchers to examine the work of the brain during social interaction from a different perspective, and it also demonstrates the possibility of using more complex problems that are closer to those encountered in real life activities for neuroscientific experiments.

See also:

Smoking Habit Affects Response to False Feedback

A team of scientists at HSE University, in collaboration with the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, studied how people respond to deception when under stress and cognitive load. The study revealed that smoking habits interfere with performance on cognitive tasks involving memory and attention and impairs a person’s ability to detect deception. The study findings have been published in Frontiers in Neuroscience.

'Neurotechnologies Are Already Helping Individuals with Language Disorders'

On November 4-6, as part of Inventing the Future International Symposium hosted by the National Centre RUSSIA, the HSE Centre for Language and Brain facilitated a discussion titled 'Evolution of the Brain: How Does the World Change Us?' Researchers from the country's leading universities, along with health professionals and neuroscience popularisers, discussed specific aspects of human brain function.

‘Scientists Work to Make This World a Better Place’

Federico Gallo is a Research Fellow at the Centre for Cognition and Decision Making of the HSE Institute for Cognitive Research. In 2023, he won the Award for Special Achievements in Career and Public Life Among Foreign Alumni of HSE University. In this interview, Federico discusses how he entered science and why he chose to stay, and shares a secret to effective protection against cognitive decline in old age.

'Science Is Akin to Creativity, as It Requires Constantly Generating Ideas'

Olga Buivolova investigates post-stroke language impairments and aims to ensure that scientific breakthroughs reach those who need them. In this interview with the HSE Young Scientists project, she spoke about the unique Russian Aphasia Test and helping people with aphasia, and about her place of power in Skhodnensky district.

Neuroscientists from HSE University Learn to Predict Human Behaviour by Their Facial Expressions

Researchers at the Institute for Cognitive Neuroscience at HSE University are using automatic emotion recognition technologies to study charitable behaviour. In an experiment, scientists presented 45 participants with photographs of dogs in need and invited them to make donations to support these animals. Emotional reactions to the images were determined through facial activity using the FaceReader program. It turned out that the stronger the participants felt sadness and anger, the more money they were willing to donate to charity funds, regardless of their personal financial well-being. The study was published in the journal Heliyon.

Spelling Sensitivity in Russian Speakers Develops by Early Adolescence

Scientists at the RAS Institute of Higher Nervous Activity and Neurophysiology and HSE University have uncovered how the foundations of literacy develop in the brain. To achieve this, they compared error recognition processes across three age groups: children aged 8 to 10, early adolescents aged 11 to 14, and adults. The experiment revealed that a child's sensitivity to spelling errors first emerges in primary school and continues to develop well into the teenage years, at least until age 14. Before that age, children are less adept at recognising misspelled words compared to older teenagers and adults. The study findings have beenpublished in Scientific Reports .

Meditation Can Cause Increased Tension in the Body

Researchers at the HSE Centre for Bioelectric Interfaces have studied how physiological parameters change in individuals who start practicing meditation. It turns out that when novices learn meditation, they do not experience relaxation but tend towards increased physical tension instead. This may be the reason why many beginners give up on practicing meditation. The study findings have been published in Scientific Reports.

Processing Temporal Information Requires Brain Activation

HSE scientists used magnetoencephalography and magnetic resonance imaging to study how people store and process temporal and spatial information in their working memory. The experiment has demonstrated that dealing with temporal information is more challenging for the brain than handling spatial information. The brain expends more resources when processing temporal data and needs to employ additional coding using 'spatial' cues. The paper has been published in the Journal of Cognitive Neuroscience.

Neuroscientists Inflict 'Damage' on Computational Model of Human Brain

An international team of researchers, including neuroscientists at HSE University, has developed a computational model for simulating semantic dementia, a severe neurodegenerative condition that progressively deprives patients of their ability to comprehend the meaning of words. The neural network model represents processes occurring in the brain regions critical for language function. The results indicate that initially, the patient's brain forgets the meanings of object-related words, followed by action-related words. Additionally, the degradation of white matter tends to produce more severe language impairments than the decay of grey matter. The study findings have been published in Scientific Reports.

New Method Enables Dyslexia Detection within Minutes

HSE scientists have developed a novel method for detecting dyslexia in primary school students. It relies on a combination of machine learning algorithms, technology for recording eye movements during reading, and demographic data. The new method enables more accurate and faster detection of reading disorders, even at early stages, compared to traditional diagnostic assessments. The results have been published in PLOS ONE.