People with excessive smartphone habits show distinct neural responses to social exclusion

Individuals who exhibit excessive smartphone use display distinct brain activity patterns when experiencing social exclusion. A small study published in Computers in Human Behavior indicates that this heightened neural sensitivity could play a role in the persistence of screen-related behavioral addictions. The research highlights specific emotional and cognitive vulnerabilities that accompany heavy smartphone reliance.

The psychological boundaries between habit and addiction are a subject of ongoing debate among mental health professionals. Behavioral addictions often arise from a combination of underlying personal traits, heightened responses to external cues, and impaired cognitive control. Researchers refer to these intersecting factors to understand how people develop compulsive routines over time. In the context of smartphones, many applications are designed specifically to facilitate digital social interaction and constant connectivity.

When a person feels left out of these digital interactions, they may experience a form of emotional distress that resembles physical pain. Social exclusion is a recognized psychological stressor that triggers strong biobehavioral responses. People who struggle with emotional regulation might rely on their devices to manage this distress or to maintain a false sense of belonging. The fear of missing out, or FOMO, is a related concept that describes the persistent anxiety of being absent from rewarding social events.

A research team led by psychiatrist Robert C. Wolf at Heidelberg University in Germany set out to observe the brain activity of people who use their phones excessively. The investigators focused on the socio-cognitive aspects of smartphone habits, an area that receives less attention than reward-seeking behaviors. They wanted to see how the brains of frequent users react to being socially excluded compared to people with average phone habits.

The investigators recruited 41 young adults between the ages of 18 and 30 for this small study. To divide the participants into two groups, the researchers administered a standardized questionnaire that measures excessive smartphone use. This diagnostic tool assesses behaviors like withdrawal symptoms, building a tolerance to screen time, and how much phone habits interfere with daily life. Based on the scores, 23 participants were placed in the excessive use group, and 18 were assigned to the control group.

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Before brain scanning, all participants completed additional surveys to measure their levels of depression, social phobia, and fear of missing out. The researchers then used functional magnetic resonance imaging, or fMRI, to observe blood flow in the participants’ brains. This advanced imaging technique allows scientists to see which areas of the brain are most active during specific cognitive tasks.

While inside the scanner, the participants played a virtual ball-tossing game called Cyberball. The researchers told the participants that they were playing online with two other real human volunteers. To make the scenario more convincing, the game started with a loading screen stating a network connection was being established. The interface also displayed artificial intelligence-generated portrait photos of the supposed co-players.

In reality, the other players were controlled by a computer program designed to manipulate the participant’s social experience. The game was divided into different structured phases. During the inclusion phase, the computer-controlled players threw the ball to the human participant regularly. During the exclusion phase, the computer players only passed the ball back and forth to each other, leaving the human participant out of the game entirely.

The brain scans revealed marked differences between the two groups during these simulated social interactions. When comparing the exclusion phase to the inclusion phase, the excessive smartphone use group showed heightened activity in the right middle cingulate cortex. This region of the brain is known to be heavily involved in processing pain, including the emotional sting of social rejection. The heightened activation suggests that people who use their phones excessively might have an altered threshold for social pain.

This brain activation also extended into the right superior frontal cortex. This area is traditionally associated with complex cognitive functions, executive control, and decision-making. The simultaneous activation of these areas implies an intense emotional and cognitive reaction to being left out of the group activity.

Conversely, the control group displayed increased activity in a different part of the brain during the exclusion phase. These individuals showed higher activation in the left superior parietal cortex. This specific brain region helps manage working memory and integrates various streams of sensory information. The findings indicate that average smartphone users process social exclusion using different neural pathways than heavy users.

The behavioral survey results aligned closely with the brain imaging data. Participants in the excessive use group scored substantially higher on the fear of missing out scale than those in the control group. The excessive use group also reported higher levels of functional impairment in their daily routines due to their screen habits.

The researchers then looked for mathematical relationships between the survey scores and the localized brain scan data. In the excessive use group, the level of activity in the left superior parietal cortex positively correlated with their functional impairment scores. The investigators also mapped the overall brain activity patterns to known neurotransmitter networks to see which chemical messengers were at work.

They found that dopamine and serotonin pathways were highly active during the social exclusion phase for both groups. These specific chemicals help regulate mood, reward processing, and pain perception in the human nervous system. The involvement of these neurotransmitters confirms that the virtual game successfully induced a genuine feeling of social distress across the entire study sample.

Because this was an observational cross-sectional study, causality cannot be firmly established. It is not possible to say whether excessive smartphone use causes heightened sensitivity to social exclusion, or if a pre-existing emotional sensitivity drives people to use their phones more often. The sample size was also limited, which means the results should be treated as preliminary until replicated in larger populations.

The experimental setup itself presented some methodological limitations. Several participants suspected that they were playing against a computer program rather than real people. This awareness might have dampened the emotional impact of the social exclusion exercise for those specific individuals. Additionally, screening for underlying psychiatric conditions relied entirely on self-reported surveys rather than in-depth clinical evaluations by a mental health professional.

Future investigations will need to track participants over longer periods of time to see how smartphone habits and social sensitivities develop sequentially. Experimental designs that involve periods of enforced smartphone restriction could help clarify how social pain and digital habits influence one another. These longitudinal approaches could provide a better understanding of how people use digital networks to manage their basic human need for connection and belonging.

The study, “Neural correlates of social exclusion in individuals with excessive smartphone use,” was authored by Gudrun M. Henemann, Mike M. Schmitgen, Sophie H. Haage, Jakob P. Rosero, Patrick Bach, Nadine D. Wolf, Julian Koenig, and Robert C. Wolf.