Utilizing Instagram Data to Identify Usage Patterns Associated With Schizophrenia Spectrum Disorders.

Background and Objectives: Prior research has successfully identified linguistic and behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care for individuals with SSD. Given the popularity of image-based platforms, such as Instagram, investigating user generated image data could further strengthen associations between social media activity and behavioral health. Methods: We collected 11,947 Instagram posts across 68 participants (mean age = 23.6; 59% male) with schizophrenia spectrum disorders (SSD; n = 34) and healthy volunteers (HV; n = 34). We extracted image features including color composition, aspect ratio, and number of faces depicted. Additionally, we considered social connections and behavioral features. We explored differences in usage patterns between SSD and HV participants. Results: Individuals with SSD posted images with lower saturation (p = 0.033) and lower colorfulness (p = 0.005) compared to HVs, as well as images showing fewer faces on average (SSD = 1.5, HV = 2.4, p < 0.001). Further, individuals with SSD demonstrated a lower ratio of followers to following compared to HV participants (p = 0.025). Conclusion: Differences in uploaded images and user activity on Instagram were identified in individuals with SSD. These differences highlight potential digital biomarkers of SSD from Instagram data.

Treatment effect variability in brain stimulation across psychiatric disorders: A meta-analysis of variance.

Noninvasive brain stimulation methods such as transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) are promising add-on treatments for a number of psychiatric conditions. Yet, some of the initial excitement is wearing off. Randomized controlled trials (RCT) have found inconsistent results. This inconsistency is suspected to be the consequence of variation in treatment effects and solvable by identifying responders in RCTs and individualizing treatment. However, is there enough evidence from RCTs that patients respond differently to treatment? This question can be addressed by comparing the variability in the active stimulation group with the variability in the sham group. We searched MEDLINE/PubMed and included all double-blinded, sham-controlled RCTs and crossover trials that used TMS or tDCS in adults with a unipolar or bipolar depression, bipolar disorder, schizophrenia spectrum disorder, or obsessive compulsive disorder. In accordance with the PRISMA guidelines to ensure data quality and validity, we extracted a measure of variability of the primary outcome. A total of 130 studies with 5748 patients were considered in the analysis. We calculated variance-weighted variability ratios for each comparison of active stimulation vs sham and entered them into a random-effects model. We hypothesized that treatment effect variability in TMS or tDCS would be reflected by increased variability after active compared with sham stimulation, or in other words, a variability ratio greater than one. Across diagnoses, we found only a minimal increase in variability after active stimulation compared with sham that did not reach statistical significance (variability ratio = 1.03; 95% CI, 0.97, 1.08, P = 0.358). In conclusion, this study found little evidence for treatment effect variability in brain stimulation, suggesting that the need for personalized or stratified medicine is still an open question.

Google search activity in early psychosis: A qualitative analysis of internet search query content in first episode psychosis.

AIM: Manually explore the Google search queries of individuals with first episode psychosis prior to their first hospitalization, in effort to identify common themes and search interests during the period of emerging illness. METHODS: Individuals hospitalized for psychosis between December 2016 and September 2017 provided access to their Google archive data for manual qualitative evaluation of search content. Searches conducted during the 6-month time period prior to the participant's first hospitalization for psychosis were extracted and evaluated for search activity associated with mental health. RESULTS: Of 20 archives reviewed, 15 individuals (75%) searched for information classified by reviewers as related to mental health. Searches with content associated with delusions were found in 15 participant archives (75%). Searches related to negative symptoms including social withdrawal and decline in function were identified in 6 participant's search archives (30%). Four participants (20%) had searches that were associated with thought processes, and 2 participants (10%) searched for information on suicide. Four participants (20%) searched for information related to anxiety, whereas 3 participants (15%) had searches related to depressive symptoms. CONCLUSIONS: Individuals with early psychosis appear to be using the Internet for obtaining information about their early symptoms and experiences prior to their first contact with psychiatric care. Improving our understanding of the ways by which individuals with emerging psychosis search for information about their experiences online may help mental health clinicians tailor online resources in hopes of improving pathways to care and reducing the duration of untreated psychosis.

Using Digital Media Advertising in Early Psychosis Intervention.

OBJECTIVE: Identifying and engaging youth with early-stage psychotic disorders in order to facilitate timely treatment initiation remains a major public health challenge. Although advertisers routinely use the Internet to directly target consumers, limited efforts have focused on applying available technology to proactively encourage help-seeking in the mental health community. This study explores how one might take advantage of Google AdWords in order to reach prospective patients with early psychosis. METHODS: A landing page was developed with the primary goal of encouraging help-seeking individuals in New York City to contact their local early psychosis intervention clinic. In order to provide the best opportunity to reach the intended audience, Google AdWords was utilized to link more than 2,000 selected search terms to strategically placed landing page advertisements. The campaign ran for 14 weeks between April 11 and July 18, 2016 and had a total budget of $1,427. RESULTS: The ads appeared 191,313 times and were clicked on 4,350 times, at a per-click cost of $.33. Many users took additional help-seeking steps, including obtaining psychosis-specific information/education (44%), completing a psychosis self-screener (15%), and contacting the local early treatment program (1%). CONCLUSIONS: Digital ads appear to be a reasonable and cost-effective method to reach individuals who are searching for behavioral health information online. More research is needed to better understand the many complex steps between online search inquiries and making first clinical contact.