What the study found
Patients with anxiety disorders showed distinct eye movement patterns compared with people with depressive disorders and healthy controls. These patterns were called hyper-scanning during free viewing and hyper-pursuit during smooth pursuit.
Why the authors say this matters
The authors conclude that these eye movement patterns may serve as measurable behavioural markers for distinguishing anxiety disorders from other affective disorders. They also suggest that eye-tracking is a promising behavioural method for mechanism-informed differentiation across affective disorders.
What the researchers tested
The researchers recorded eye movements in 91 patients with anxiety disorders, 118 with depressive disorders and 98 healthy controls. Participants completed three tasks: viewing neutral images freely, a smooth-pursuit task, and a fixation-stability task. The team then used principal component analysis to derive latent eye movement dimensions and tested group differences, links with symptom severity and classification performance.
What worked and what didn't
Compared with both the depression group and healthy controls, the anxiety group showed hyper-scanning during free viewing, marked by increased saccade frequency and path length. They also showed hyper-pursuit during smooth pursuit, with increased velocity gain, fewer intrusive saccades and more catch-up saccades. Principal component analysis identified six latent components, and three of them showed robust group differences: active visual exploration, pupillary arousal and smooth-pursuit control.
What to keep in mind
The abstract does not describe detailed limitations beyond the study scope and the available tasks. The classification result was stronger for anxiety versus healthy controls and depression versus healthy controls than for anxiety versus depression.
Key points
- Anxiety disorders were linked to hyper-scanning during free viewing and hyper-pursuit during smooth pursuit.
- The study compared 91 anxiety patients, 118 depression patients and 98 healthy controls.
- Three tasks were used: free viewing of neutral stimuli, smooth pursuit and fixation stability.
- Six latent eye movement components were identified, with three showing robust group differences.
- Machine learning classification was weaker for anxiety versus depression than for the other comparisons.
Disclosure
- Research title:
- Anxiety disorders show hyper-scanning and hyper-pursuit eye movements
- Authors:
- D Zhang, Y C Li, Lihua Xu, Yangyang Xu, Xu Liu, Wensi Zheng, Yawen Hong, JinYang Zhao, Yanyan Wei, Huiru Cui, HaiChun Liu, Tianhong Zhang, Yì Wáng
- Institutions:
- Shanghai Jiao Tong University, Shanghai Mental Health Center, Children's Hospital of Fudan University, Tianjin haihe hospital
- Publication date:
- 2026-04-27
- OpenAlex record:
- View
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