Search

Background: The oculomotor circuit spans many cortical and subcortical areas that have been implicated in psychiatric disease. This, combined with previous findings, suggests that eye tracking may be a useful method to investigate eating disorders. Therefore, this study aimed to assess oculomotor behaviors in youth with and without an eating disorder. Methods: Female youth with and without an eating disorder completed a structured task involving randomly interleaved pro-saccade (toward at a stimulus) and anti-saccade (away from stimulus) trials with video-based eye tracking. Differences in saccades (rapid eye movements between two points), eye blinks and pupil were examined. Results: Youth with an eating disorder (n = 65, Mage = 17.16 ± 3.5 years) were compared to healthy controls (HC; n = 65, Mage = 17.88 ± 4.3 years). The eating disorder group was composed of individuals with anorexia nervosa (n = 49), bulimia nervosa (n = 7) and other specified feeding or eating disorder (n = 9). The eating disorder group was further divided into two subgroups: individuals with a restrictive spectrum eating disorder (ED-R; n = 43) or a bulimic spectrum eating disorder (ED-BP; n = 22). In pro-saccade trials, the eating disorder group made significantly more fixation breaks than HCs (F(1,128) = 5.33, p = 0.023). The ED-BP group made the most anticipatory pro-saccades, followed by ED-R, then HCs (F(2,127) = 3.38, p = 0.037). Groups did not differ on rate of correct express or regular latency pro-saccades. In anti-saccade trials, groups only significantly differed on percentage of direction errors corrected (F(2, 127) = 4.554, p = 0.012). The eating disorder group had a significantly smaller baseline pupil size (F(2,127) = 3.60, p = 0.030) and slower pro-saccade dilation velocity (F(2,127) = 3.30, p = 0.040) compared to HCs. The ED-R group had the lowest blink probability during the intertrial interval (ITI), followed by ED-BP, with HCs having the highest ITI blink probability (F(2,125) = 3.63, p = 0.029). Conclusions: These results suggest that youth with an eating disorder may have different oculomotor behaviors during a structured eye tracking task. The oculomotor behavioral differences observed in this study presents an important step towards identifying neurobiological and cognitive contributions towards eating disorders. Plain English summary: Video based eye tracking is a promising method for studying differences between individuals with and without a psychiatric disease of interest. While some studies have explored oculomotor behaviors in individuals with an eating disorder, much remains unknown. The present study investigated saccades (fast eye movements between two points), eye blinks and pupil responses between female youth (aged 10–25 years) with and without an eating disorder during a pro-saccade (looking at a point) and anti-saccade (looking away from a point) eye tracking task. Individuals with an eating disorder made more pro-saccade guesses, had a smaller pupil size and blinked less before a trial started. In individuals with a restrictive type eating disorder (e.g., anorexia nervosa restrictive type), pupil responses may have a relationship with emotional dysregulation (poorly regulated emotional responses). Overall, this study represents an important step towards identifying oculomotor behavior differences in individuals with an eating disorder compared to controls. [ABSTRACT FROM AUTHOR]

Background: Adolescence and young adulthood is a high-risk period for the development of eating disorders. In recent years, there has been an increase in use of technology-based interventions (TBIs) for the treatment of eating disorders. The objective of this study was to determine the types of technology used for eating disorder treatment in youth and their effectiveness. Methods: A scoping review was conducted according to PRISMA-ScR guidelines. Four databases were searched. Eligible articles included: (1) a TBI (2) participants with a mean age between 10- and 25-years and meeting DSM-IV or DSM-5 criteria for any eating disorder and (3) qualitative or quantitative designs. Quantitative and qualitative studies were assessed for quality. Results: The search identified 1621 articles. After screening of titles and abstracts, 130 articles were read in full and assessed for eligibility by two raters. Forty-nine (29 quantitative and 20 qualitative, observational, or mixed methods studies) met inclusion criteria. Quality ratings indicated that 78% of quantitative studies had a low risk of bias and 22% had a moderate risk. Technologies reviewed in our study included videoconference therapy, mobile applications, and online self-help. We considered interventions used both within sessions with clinicians as well as those used in between sessions by patients alone. Fifteen of 18 (83%) quantitative studies found that TBIs reduce eating disorder symptomatology, with nine of those reporting medium-to-large effect sizes. Qualitative data was of high quality and suggested that virtual interventions are acceptable in this population. Conclusions: Although identified studies are of high quality, they are limited in number. More research is needed, particularly regarding videoconferencing and mobile applications. Nonetheless, TBIs show promise for the treatment of eating disorders in youth. Trial registration: Not applicable. Plain English summary: The use of virtual care to treat adolescents and young adults with eating disorders has increased in recent years. To better understand what types of technologies are being used in virtual care and these technologies' effectiveness, we systematically reviewed research studies that discussed the use of any technology to treat youth (which was defined as young people aged 25 years or under) with an eating disorder. We found 49 relevant studies. They revealed that videoconference therapy, mobile applications, and online self-help are most frequently used for virtual treatment. Of the 18 studies evaluating the effectiveness of these technologies, 15 found virtual care to be effective for reducing eating disorder symptoms. Studies describing patient experiences with these technologies, of which there were nine, suggested that patients overall were satisfied with receiving virtual care. Although these results are promising, research on virtual treatment is still lacking, especially on videoconferencing therapy and mobile applications. [ABSTRACT FROM AUTHOR]

Objective: Findings show virtual therapy (conducted using internet‐based videoconferencing techniques) to be a viable alternative to in‐person therapy for a variety of mental‐health problems. COVID‐19 social‐distancing imperatives required us to substitute virtual interventions for in‐person sessions routinely offered in our outpatient eating disorder (ED) program—and afforded us an opportunity to compare the two treatment formats for clinical efficacy. Methods: Using self‐report assessments, we compared outcomes in a historical sample of 49 adults with heterogeneous EDs (treated in‐person over 10–14 weeks in individual and group therapies) to those of 76 patients receiving comparable virtual treatments, at distance, during the COVID‐19 outbreak. Linear mixed models were used to study symptom changes over time and to test for differential effects of treatment modality. Results: Participants in both groups showed similar improvements on eating symptoms, levels of weight gain (in individuals in whom gain was indicated), and satisfaction with services. Discussion: Our results suggest that short‐term clinical outcomes with virtual and in‐person ED therapies are comparable, and point to potentials of virtual therapy for situations in which geographical distance or other barriers impede physical access to trained therapists or specialized treatments. [ABSTRACT FROM AUTHOR]