Various teams at the National Institute of Mental Health and Neurosciences are using LAMP to advance mental health research and care. Projects including using LAMP to monitor, personalize, and predict treatment response to non-invasive brain stimulation techniques like TMS. Other projects including using LAMP to support patients with substance abuse disorder. Future projects will involve use of LAMP to help predict relapse in serious mental illness.

The objective of our research using the mindLAMP app is to understand how one’s internal and contextual experience shapes cognitive function from moment to moment. Our current work involves smartphone assessment of cognition and context in young adults as well as individuals with Parkinson’s disease. Our hope is through digital phenotyping we can determine how patterns of fluctuation can help improve clinical diagnosis and point us towards personalized and precision interventions.

In our Social Psychology in Everyday Life Lab at CSU Northridge, we used mindLAMP to augment our data collection for longitudinal studies of smartphone-related cognition and behavior. We programmed mindLAMP to deliver regular ecological momentary assessment measures, including brief surveys capturing the intentionality/automaticity of the user's prior smartphone usage and their current mood, life satisfaction, and context. We also attempted to capture some basic cognitive constructs using mindLAMP’s built-in attention and memory assessment games, like the n-back test. Our intention is to assess whether higher levels of automaticity (mindless, impulsive use) during the prior phone usage predict lower levels of present-moment mood. We’d also like to assess the influence of context, such the user’s location, the presence of others, and the duration and content of their smartphone uses on automaticity and well-being. Ultimately, we hope this research helps us better understand the relationship between smartphone users and their devices and assess whether well-being can be enhanced by implementing interventions for more intentional use.

Shanghai Mental Health leveraged LAMP’s open-source platform to create BrainSmart. BrainSmart is an app with similar capabilities as LAMP, including customizable games and surveys that can be used to engage patients. Shanghai Mental Health used BrainSmart in a study that investigated whether interactive technology is feasible way to enhance cognitive function of patients at clinical risk for psychosis. The prevalence of smartphones, paired with high reports of regular app use, suggest that engaging technology may be an avenue for building on cognitive capabilities.

Our study investigates the validity of mindLAMP, a smartphone application for both Apple and Android phones, in assessing cognition in individuals with a mental illness. While preliminary, our findings suggest that mindLAMP can be used to assess cognitive impairments in individuals with a mental illness. As a novel tool, mindLAMP has the potential to enable dynamic, scalable, and longitudinal assessment of cognition in research and clinical setting.

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The goal of the study is to help to understand the different anesthetic options available prior to surgery, increase patient engagement and encourage shared decision making with their surgical team... Our MAC Decision Aid research is being conducted using a smartphone app  LAMP platform, created by a multidisciplinary team at Beth Israel Deaconess Medical Center for research without commercial involvement. Subjects who consented for the study are taught how to download and use the app. They are asked to complete pre-survey, read about monitored anesthesia care and then complete post-survey. Preliminary data (10 patients of 100) demonstrates that an electronic based educational and assessment system is feasible.

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