Socially anxious people are better at detecting subtle signs of anger

A new study published in Behaviour Research and Therapy suggests that people with high social anxiety are more accurate at recognizing subtle angry expressions compared to people with low social anxiety. The researchers found that individuals who scored high on social anxiety tests showed stronger brain responses when viewing low-intensity dynamic angry faces. These responses occurred during later stages of processing, which may reflect increased cognitive effort to interpret socially ambiguous cues.

Social anxiety is a condition marked by intense fear of being judged or negatively evaluated by others. People with social anxiety often worry excessively about embarrassing themselves in social situations and may avoid activities like public speaking, meeting new people, or even making eye contact. These fears go beyond shyness and can interfere with daily life. One feature of social anxiety is a heightened sensitivity to social threats, especially in the form of disapproval, rejection, or criticism.

Facial expressions, particularly those signaling anger, play an important role in how people navigate social interactions. For individuals with social anxiety, angry faces can be especially unsettling, even when the expressions are ambiguous or subtle. This tendency to interpret neutral or low-intensity expressions as threatening may contribute to the anxiety and avoidance behaviors often seen in social anxiety.

Most previous studies examining how people with social anxiety process facial expressions have used static images. While these images offer control and consistency, they do not reflect the way emotions are expressed in everyday life. Real expressions unfold over time and carry movement cues that can change how they are perceived. Dynamic expressions are thought to provide more realistic social information.

The research team, led by Jing Yuan from Hebei University in China, wanted to understand how people with high and low levels of social anxiety respond to dynamic angry facial expressions. They were especially interested in how the brain reacts to expressions of different intensity, from very subtle signs of anger to more obvious ones. To investigate this, they recorded participants’ brain activity while they viewed facial expressions and made judgments about them.

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The researchers recruited 48 undergraduate students from Hebei University. All participants were between the ages of 17 and 23 and had no history of mental illness. They were grouped into either a high social anxiety group or a low social anxiety group based on their scores on the Liebowitz Social Anxiety Scale. The final sample included 23 students in the high anxiety group and 22 in the low anxiety group.

Participants viewed short video clips showing faces that gradually changed from a neutral expression to a mildly or moderately angry one. The expressions were presented at six intensity levels: 15%, 21%, 27%, 33%, 39%, and 45%. These percentages reflect the degree of visible anger in the facial expression. Participants were asked to press a key to indicate whether they thought the expression was angry or neutral. The researchers measured how accurate they were and how quickly they responded.

At the same time, the researchers recorded brain activity using electroencephalography, or EEG. EEG detects electrical signals in the brain using sensors placed on the scalp. The team focused on event-related potentials (ERPs), which are brain responses that occur at specific times after a stimulus appears. Different ERP components occur at different times and reflect different types of mental processing.

The researchers looked at four ERP components:

• P1, which occurs about 100 milliseconds after a stimulus and reflects early attention.
• P2, which occurs a little later and reflects deeper engagement with the stimulus.
• P3, which occurs around 300 milliseconds and is thought to reflect conscious evaluation and decision-making.
• LPP, or late positive potential, which lasts for several hundred milliseconds and is linked to emotional and cognitive elaboration.

By comparing these components between the high and low anxiety groups, the researchers could see how brain responses differed during the recognition of dynamic angry expressions.

Behaviorally, the high social anxiety group was more accurate at recognizing angry expressions than the low social anxiety group, especially at the lower intensity levels. In both groups, people were faster and more accurate at recognizing high-intensity anger compared to low-intensity anger. But the individuals with higher anxiety showed a particular advantage in detecting subtle signs of anger.

When the researchers looked at the brain data, they found no significant differences between the two groups in the early ERP components, P1 and P2. This suggests that both groups paid similar early attention to the facial expressions, regardless of intensity.

However, the groups did differ in the later components. The high social anxiety group showed greater P3 and LPP amplitudes than the low anxiety group when viewing expressions at the lower intensity levels (15%, 21%, 27%, and 33%). These differences were not seen at the higher intensity levels (39% and 45%).

Larger P3 and LPP responses in the high anxiety group suggest that these individuals engaged in more cognitive processing when faced with ambiguous emotional signals. This increased brain activity may reflect a tendency to interpret subtle expressions of anger as more threatening, or a need to scrutinize the expression more thoroughly.

The results support the idea that people with social anxiety are more sensitive to social threat cues, even when those cues are subtle. But rather than detecting threat earlier, as some studies with static images have suggested, this study found that differences appeared during later stages of processing. The findings suggest that socially anxious individuals may spend more effort trying to interpret unclear emotional signals, especially when they suspect the possibility of disapproval or rejection.

As with all research, there are limitations to consider. First, the participants were college students who scored high on a social anxiety scale but were not diagnosed with a clinical anxiety disorder. Results might differ in a clinical population. Second, the sample was predominantly female, which could influence emotion recognition patterns. Women tend to be better at interpreting facial expressions, so future research should include more balanced gender representation.

Despite these limitations, the study highlights the importance of using realistic, dynamic expressions in research on social anxiety. Many interventions aimed at reducing social anxiety rely on training people to shift their attention away from threatening cues. Incorporating dynamic facial expressions into these training programs could improve their effectiveness by more closely mimicking real-world social interactions.

The study, “Recognition of dynamic angry expressions in socially anxious individuals: An ERP study,” was authored by Jing Yuan, Yuchen Zhang, Chenwei Zhao, Zejun Liu, and Xiaoping Yin.