This study aimed to explore the effect of eye-tracking technology-based visual scanning training on recovery from unilateral spatial neglect after stroke.
Method Article
This study aimed to explore the effect of eye-tracking technology-based visual scanning training on recovery from unilateral spatial neglect after stroke.
This study aimed to explore the effect of eye-tracking technology-based visual scanning training on recovery from unilateral spatial neglect after stroke. Stroke patients with unilateral spatial neglect (n = 48) from Beijing Bo'ai Hospital were recruited and randomly divided into an eye-tracking technology-based visual scanning training group (n = 24) and a conventional visual scanning training group (n = 24). The training regimen was 30 min/session, 1 session/day, and 5 days/week. The experimental group received visual scanning training via eye-tracking technology for 15 min and conventional unilateral spatial neglect training for 15 min. The control group received conventional unilateral spatial neglect training for 30 min. Both groups received conventional drug therapy and underwent conventional occupational rehabilitation.
The Behaviour Inattention Test-Conventional Group (BIT-C), the Catherine Bergego Scale (CBS), and the Modified Barthel Index (MBI) were used to assess recovery from unilateral spatial neglect and to evaluate activities of daily living (ADLs) before and after treatment. The Mini-Mental State Examination (MMSE) was used to assess cognitive function before and after treatment. The results suggested that eye-tracking technology-based visual scanning training is more effective than conventional training in terms of alleviating unilateral spatial neglect and reducing the severity of neglect in ADLs. However, compared with conventional training, eye-tracking technology-based visual scanning training did not significantly increase ADL or MMSE scores.
Unilateral neglect (USN) is one of the most common and severe cognitive disorders that occurs after a right-sided stroke. The prevalence of USN varies depending on assessment tools, duration of disease, and other factors, with the estimated prevalence reaching as high as 30%1. Patients with USN cannot respond well to sensory stimulation on the side contralateral to the injury, and the information obtained on this side cannot be effectively processed. USN seriously affects the recovery of a patient's overall function, prolongs the patient's hospital stay, and prevents the patient from engaging in good self-care. Patients with USN perform washing, dressing, and grooming of the face on only one side. USN is associated with the risk of easily bumping into objects on the ignored side when walking, which can cause injuries and falls, and the ability to perform activities of daily living (ADLs) is severely impaired. USN not only places a heavy and severe economic burden on patients and families but also results in considerable economic losses and corresponding social problems nationwide. Therefore, early detection and effective treatment are important ways to promote early recovery in patients with USN.
USN treatment can be classified as activity-based therapy or non-activity-based therapy2. Activity-based therapy focuses on improving skills through participation in activities to enhance an individual's functional ability. Examples of activity-based therapy include visual scanning or exploration training, smooth pursuit eye movement therapy, optokinetic stimulation, mental practice, mirror therapy, voluntary trunk rotation, and vestibular rehabilitation. Nonactivity-based interventions are designed to reduce structural damage to and dysfunction of the human body through the use of external agents such as prism glasses, somatosensory electrical stimulation, transcutaneous electrical nerve stimulation, and theta burst stimulation. Additionally, on the basis of a patient's awareness of USN and their degree of participation in therapy, USN rehabilitation can be classified as follows3: "top-down" interventions, which trigger a patient's awareness of his or her USN-related deficits and require the patient's active participation, including self-cues and visual scanning training; or "bottom-up" interventions, which include passive sensory stimulation, such as neck vibration and prism adaptation.
Visual scanning training is one of the standard treatment methods for USN. This training requires patients to actively pay attention to the training space of contralateral stimuli4. Furthermore, this training is activity-based and requires the active participation of patients to improve their skills and awareness of neglect. Previous studies have shown that visual scanning training can effectively alleviate USN, and this approach is widely used in clinical practice5,6. Visual scanning training usually involves searching for letters or pictures, drawing graphs, and reading sentences. Therapist feedback plays an important role in the training process. However, in conventional visual scanning training, the feedback provided by the therapist is mainly based on subjective judgment.
In recent years, eye-tracking technology, which is a simple and reliable technology that involves accurate measurements as well as real-time tracking and analysis of subjects' eye movements, has been widely used in the fields of ophthalmology, neurology, and other fields. The use of this technology has led to new ideas and new methods for the exploration of cognitive rehabilitation strategies.
Eye-tracking technology has been widely applied in stroke rehabilitation for identifying cognitive disorders7,8, assessing attention and language comprehension deficits9, detecting emotional changes10,11, and providing feedback on intervention efficacy12. Eye tracking-based tasks can improve executive dysfunction13, balance14, and movement disorders, among other conditions15. Eye tracking-based tasks serve as a feasible tool for evaluating and ameliorating stroke-related dysfunctions, which are unrestricted by conditions such as limb impairments, demonstrating significant application value. Eye tracking-based tasks have also been used to assess USN after stroke in previous studies16,17,18. Visual scanning training based on eye tracking can provide feedback to rehabilitation therapists and patients by providing information such as fixation points on the screen, thus helping therapists and patients adjust visual scanning training methods and strategies. Therefore, eye-tracking technology can be effective for mitigating USN. The present study aimed to explore the effect of eye-tracking technology-based visual scanning training on USN.
This single-blind randomized controlled trial was approved by the Ethics Committee of the China Rehabilitation Research Center (2003-042-01) and registered with the Chinese Clinical Trials Registry (ChiCTR2300074202). This was a single-blinded study, in which the assessor was blinded. The study required informed consent, so the participants were aware of their group assignment. To randomize and provide correct intervention measures, the personnel assigning random numbers and implementing interventions were aware of the group assignment. Although this study was single-blind, some procedures were undertaken to minimize bias arising from the lack of double-blinding. For example, the data statisticians were blinded, and all the researchers executed the study according to standard operating procedures (SOPs), which reduced performance bias.
1. Participants
2. Randomization and allocation
3. Intervention
4. Assessment
5. Statistics
We recruited 48 patients from June 2024 to December 2024, all of whom ultimately completed the study. No patients experienced any adverse events during the trial.
The average ages of the patients in the EG and the CG were 55.96 ± 11.667 and 58.29 ± 13.470 years (P > 0.05), respectively. No significant differences in age, sex, education level, type of injury, course of disease, affected side, dextromanuality, MMSE score, MBI score, BIT-C score, or CBS score were noted(P > 0.05), as shown in Table 1.
The Mann-Whitney U test results revealed that there was no significant difference in the MMSE scores between the two groups before treatment (P > 0.05, r = 0.055, Z = -0.382, 95% CI = -11.700-11.900). The Wilcoxon signed-rank test results revealed that after treatment, the MMSE scores of the two groups significantly increased (P < 0.01, r = -0.474, Z = -3.279, 95% CI = -12.700-4.600; P < 0.01, r = -0.473, Z = -3.173, 95% CI = -9.900-4.600). Furthermore, the Mann-Whitney U test results also revealed that there was no significant difference between the two groups after treatment (P > 0.05, r = -0.015, Z = -0.104, 95% CI = -14.800-11.700), as shown in Table 2.
The independent samples t-test results revealed that there was no significant difference in the MBI score between the two groups before treatment (P > 0.05, Cohen's d = -0.007, t = -0.023, 95% CI = -14.919-14.586). The results of paired t tests revealed that after treatment, the MBI scores of the two groups were not significantly different (P > 0.05, Cohen's d = -0.401, t = -1.962, 95% CI = -15.150-0.400; P > 0.05, Cohen's d = -0.375, t = -1.839, 95% CI = -15.139-0.889). However, the independent samples t-test results revealed that there was no significant difference between the two groups after treatment (P > 0.05, Cohen's d = 0.003, t = 0.011, 95% CI = -15.295-15.461), as shown in Table 3.
The Mann-Whitney U test results revealed that there was no significant difference in BIT-C scores between the two groups before treatment (P > 0.05, r = -0.024, Z = -0.166, 95% CI = -37.800-47.800). After treatment, the BIT-C scores of the two groups significantly increased (P < 0.01, r = -0.619, Z = -4.287, 95% CI = -51.800-2.300; P < 0.01, r = -0.580, Z = -4.017, 95% CI = -28.700-0.000). A significant difference in the BIT-C score was noted between the two groups after treatment (P < 0.01, r = -0.822, Z = -3.197, 95% CI = 0.100-40.700), such that the BIT-C score of the EG was better than that of the CG (Table 4).
The Mann-Whitney U test results revealed that there was no significant difference in CBS scores between the two groups before treatment (P > 0.05, r = -0.125, Z = -0.866, 95% CI = -16.014-9.885). After treatment, the CBS scores of the two groups significantly increased (P < 0.01, r = -0.606, Z = -4.201, 95% CI = 0.3014-18.249; P < 0.01, r = -0.607, Z = -4.206, 95% CI = -0.014-14.611). Significant differences in CBS scores were noted between the two groups after treatment (P < 0.01, r = -0.461, Z = -3.197, 95% CI = -19.267-11.628), such that the CBS score of the EG was better than that of the CG (Table 5).

Figure 1: Recruitment flow chart. A total of 48 subjects were recruited. EG: experimental group; CG: control group. Please click here to view a larger version of this figure.

Figure 2: Visual scanning training based on eye-tracking technology. (A) Insect shoot-down task. (B) Fruit cutting training. (C) Shopping training. (D) Reading training. The target circles in the four small figures are the "gaze circles." Please click here to view a larger version of this figure.
Table 1: Subject characteristics. EG: experimental group; CG: control group; LV: lateral ventricles; BG: basal ganglia; CR: corona radiata; MMSE: Mini-Mental State Examination; MBI: Modified Barthel Index; BIT-C: Behavioural Inattention Test-Conventional subtests; CBS: Catherine Bergego Scale; P values obtained with a two-sided permutation test. Please click here to download this Table.
Table 2: Results of the MMSE. EG: experimental group; CG: control group; MMSE: Mini-Mental State Examination; P values were obtained with a two-sided permutation test. Please click here to download this Table.
Table 3: Results of the MBI. EG: experimental group; CG: control group; MBI: modified Barthel index; P values were obtained with a two-sided permutation test. Please click here to download this Table.
Table 4: Results of the BIT-C. EG: Experimental group; CG: Control group; BIT-C: Behavioural Inattention Test-Conventional subtests; P values obtained with a two-sided permutation test. Please click here to download this Table.
Table 5: Results of the CBS. EG: experimental group; CG: control group; CBS: Catherine Bergego Scale; P values were obtained with a two-sided permutation test. Please click here to download this Table.
Supplementary File 1: Sample size calculation. Please click here to download this File.
The results of this study revealed that USN was effectively alleviated in both the EG and CG when the traditional evaluation method or the ADL evaluation method was used. After 4 weeks of treatment, the BIT-C score of the EG was significantly higher than that of the CG. The BIT-C score of the EG improved to normal. The BIT-C score of the CG also improved, but the results revealed that the patients still had hemineglect disorders. According to the CBS results, although hemineglect disorders were ameliorated in both groups, after 4 weeks of treatment, the EG exhibited improvement from moderate to mild impairment, and the CG still exhibited moderate impairment. This study revealed that eye-tracking technology-based visual scanning training is superior to conventional visual scanning training for patients with hemineglect.
In eye-tracking technology-based visual scanning training, therapists can objectively understand a patient's eye fixation point and saccade trajectory according to the eye movement trajectory feedback on the screen and further observe whether the patient has repeated searches on the right side, whether the eye line crosses the midline in the scanning, and the specific eye movement range to adjust the intensity of visual scanning training. For example, changing the distance between the target stimulus and the midline, which is based on more objective and appropriate language cue guidance, prompts and provides feedback according to a patient's performance; scientifically guides the patient's rehabilitation training; and helps the patient gradually and effectively relieve their hemineglect. In addition, the feedback of the eye movement trajectory on the screen is also visual and provides cues for patients with USN. Patients with good cognition can adjust their visual search strategy according to their eye movement trajectory. For example, during or after training, patients can remind themselves to pay more attention to the neglected places in the training or the next training according to the eye movement trajectory formed in the visual search task. In this process, patients can also gradually increase their awareness of USN and gradually develop a self-management strategy for USN.
The effective alleviation of USN in the EG may also be related to the fact that eye-tracking technology-based visual scanning training can more effectively improve eye movement among individuals with USN. In typical visual behaviours, eye movements and spatial attention are closely related, and the spatial bias of eye movements (search and gaze) may represent a typical hallmark of USN22. Although they visually search for static stimuli, patients with left USN rarely find targets in the left lateral region23. In the visual search task, patients with USN are characterized not only by the omission of visual targets but also by more general search performance deficits, such as unsystematic search patterns and irregular eye movement patterns24,25. Studies have shown that eye-tracking-based assessment methods have good reliability and validity for identifying unilateral neglect16,17,18. Studies have also shown that conventional visual scanning training cannot directly alleviate hemineglect disorders but rather encourages patients' eye and head movements to form a compensation strategy, thereby reducing hemineglect26. Compared with conventional visual scanning training, eye-tracking technology-based visual scanning training can help therapists and patients guide visual scanning training according to objective eye movement information, which may be more effective in terms of improving the spatial bias of eye movements and thus improving the ability to notice the neglected side.
The effective reduction in USN observed in the EG may also be related to the fact that eye-tracking training can improve patients' perceptual bias through visual feedback. Neglect may be associated primarily with impaired lateral spatial attention (i.e., the input phase) or with a patient's inability to respond to presented stimuli (i.e., the output phase). Perceptual and response biases are used to represent input-related and output-related biases, respectively27,28. Studies have shown that conventional visual scanning training has a stronger moderating effect on response bias, and training methods that can improve both perception and response bias are more effective than conventional visual scanning training. Most patients have a combination of the two types of bias. The visual feedback information provided in eye-tracking technology-based visual scanning training can reduce a patient's perceptual bias and simultaneously adjust their perceptual bias and response bias, which may contribute to reductions in their ability to hemineglect symptoms. To verify this, a discriminative assessment method for both types of bias could be added to the assessment in subsequent studies.
Compared with conventional visual scanning, eye-tracking technology-based visual scanning training provides objective eye movement information to therapists and patients, helps therapists scientifically guide patient training, and further reduces patients' eye movement spatial bias while improving their perceptual ability, self-awareness, and self-management awareness of half neglect. Thus, patients can effectively improve their general condition using eye-tracking technology-based visual scanning training.
The results of this study (Table 2) also suggest that the 4-week treatment improved the cognitive function of the patients in both groups, but the difference between the groups was not significant. Cognitive function involves dimensions such as orientation, computation, language, execution, and visuospatial ability, whereas the visual scanning training in this study focused on semilateral neglect and involved attention, reactions, reading, and object recognition. This may explain why there was no significant difference in cognitive function between the two groups after 4 weeks of treatment. The improvement in cognitive function in the two groups may be related to the natural recovery of the disease course and other factors.
In this study, the symptoms of hemineglect in daily life were effectively alleviated. However,the 4-week treatment did not improve the ADL abilities of the patients in either group (Table 3). This lack of improvement may be attributed to motor function limitations, global cognitive function, and insufficient intervention duration. The results of this study are consistent with those of previous studies, indicating that routine visual scanning training can reverse visual-related neglect impairment but cannot restore all the functional and activity limitations related to neglect (such as ADL abilities and cognitive function) by alleviating neglect impairment in visual exploration and reading4,29.
A limitation of this study is that the neurological mechanisms, such as the difference in cortical activation between visual scanning training with and without eye movement feedback, were not explored to further explain the rehabilitation effect and elucidate the central mechanism involved. Another limitation is that this study adopted a single-blind design and did not implement blinding for the interventionists. Although all the researchers executed the study according to SOPs, performance bias may still exist.
The authors declare that the research was conducted in the absence of any commercial or financial relationship that could be construed as a potential conflict of interest.
This study was supported by the Project of China Rehabilitation Research Center (number: 2023ZX-Q10) and Investigator-Initiated Trials of China Rehabilitation Research Center (number:2025IIT-04).
| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Cognitive rehabilitation training system based on eye tracking technology | Beijing Litech Technology Co., LTD | JZ-RZ-20USD | EG training: Visual scanning training based on eye tracking technology |
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