# Innovative Approaches to Eating Disorders Treatment:
## 3 Results  
### Articles Description  
The search and screening process is summarized in Figure 1. Initially, 228 articles were identified across five databases: 44 in Scopus, 23 in PsyNet, 60 in Web of Science, 29 in PubMed, and 72 in EBSCOhost. After eliminating duplicates and irrelevant records,73 articles remained. The selection process involved reviewing titles, abstracts, and full texts. Following the title and abstract screening, 21 articles were retained. A thorough full-text review led to the exclusion of 13 more articles: four did not use VR, two lacked empirical data, three were conference papers, and four were unrelated to ED treatment. The final sample comprised eight articles. All the included articles focus on the treatment of ED using VR, with participants either diagnosed with EDs or healthy individuals selected based on personal characteristics that pose a risk for the onset or maintenance of EDs. One of the articles included two separate studies [28]. Therefore, the following analysis is based on the nine studies rather than the eight articles included in the review. Among the studies, four involved multiple sessions, while five were single-session interventions. Table 2 presents a detailed summary of the articles included in this review. Figure 1: PRISMA flowchart overview of the article selection process. Note: n = number, VR = virtual reality. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Author** & **Sample** & **Method** & **Measures** & **Main Findings** \\ \hline [PERSON] et al. [29] & 23 AN, Mean age (SD): 15.30 (1.29), 100\% Female & All participants underwent a single session of ABMT intervention in VR. & BD, CFF, NF & Significant post-intervention reductions in BD and time spent fitting on weight-related areas (CFT). \\ \hline  & Study 1: 20 high weight/shape & Study 1: Single session of ABMT intervention in VR. & Study 1: BD, FGW, HRV & Study 1: No significant changes in pre- and post-VR exposure. \\ [PERSON] et al. [28] & 100\% Female & Study 2: Five sessions: one educational and four VR separate owner with average body shape. & Study 2: Arousal, BD, FGW, HRV, Salivary cortisol & Study 2: Significant reduction in FGW post-VR but no session-to-session differences. \\ \hline  & VR-ICT 8 BED, Non-VR-ICT 7 BED, & Participants were randomly assigned to a & & Significant decrease in FC over time in all groups, but no significant differences in behavioral outcomes between groups. \\ [PERSON] et al. [30] & VR-BEM - 11 BED, Non-VR-RT-ham & 6-week training course with 3-month & FC, UA, LAT, Last latency & & Significant decrease in FC over time in all groups, but no significant differences in behavioral outcomes between groups. \\  & +’, 9 BED, 91.4\% Female, 8.6\% Male & Follow-up. & & \\ \hline  & 31 BED, Mean age (SD): 36.26 & Participants underwent a 2-week & & No modulatory effect of HCS observed by VR-based ICT with UCSS applied to the & No modulatory effect of HCS observed by VR-based ICT with UCSS applied to the & Significant reduction in EP psychopathology \\ [PERSON] et al. [31] & (13.37), 77.42\% Female, 22.85\% Male & right dorsolateral prefrontal cortex. & Impulsivity, TFEQ, RT & & \\ \hline  & & Participants completed four blocks of & & Both the NW-AB and W-AB groups required \\ Meshberger-Annweiler & 58 Healthy, Mean age (GD): 24.83 & VR-based ABMT in one session. Pre-AB & & achieving a more balanced focus. The NW-AB group also needed for blocks to decrease their \\ et al. [32] & (6.64), 100\% Female & CFT and NF measures used to categorize participants into W-AB and NW-AB groups. & UA, CFT, NF & group no needed for blocks to decrease their \\  & & participants into W-AB and NW-AB & & N bias, while the W-AB group required there \\  & & groups. & & blocks to reduce NF bias, followed by an \\ \hline  & & NW-AB: 13 Healthy, Mean age (SD): & & increase in NF during the fourth block. \\  & & 25 (1.72) & & \\ [PERSON] et al. [33] & No-AB: 28 Healthy, Mean age (SD): & All participants underwent a single session of ABMT in VR, split into groups based on pre-AB measures.