What is the LAMP consortium?
The LAMP consortium is the community of researchers, clinicians, patients, and developers around the world who use mindLAMP in various projects to advance the field of digital mental health.
The LAMP consortium is the community of researchers, clinicians, patients, and developers around the world who use mindLAMP in various projects to advance the field of digital mental health.
The goals of the LAMP consortium:
- To foster a community of researchers, clinicians, patients, and developers with the shared goal of improving real-time neuropsychiatric research
- To share innovative ideas, data pipelines, and protocol information
- To support mindLAMP-enabled neuropsychiatric research through webinars and forum conversations
If you don't see your site here or if you would like to collaborate on any project, please contact us.
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Featured Site - NIMHANS in Bangalore, IndiaThis month's featured site is the National Institute of Mental Health and Neurosciences in Bangalore, India. NIMHANS is the largest training center for mental health professionals in India and takes a multidisciplinary approach to mental illness from state-of-the-art clinical facilities to embracing technological innovation to improve access to care in the community. We have enjoyed collaborating with them as they use mindLAMP for several projects including relapse prediction in serious mental illness, supporting patients with substance abuse disorder, and monitoring treatment response in patients receiving transcranial magnetic stimulation.
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Resources for Consortium Researchers
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Interactive Help
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Partners
NIMHANS in Bangalore, India, is using mindLAMP for 1) Monitoring, personalizing, and predicting treatment response to non-invasive brain stimulation , 2) Supporting patients with substance abuse disorder, 3) Predicting relapse in SMI
Boston University is using mindLAMP for the assessment of cognition and context in young adults as well as individuals with Parkinson’s disease with the goal of improving clinical diagnosis and personalized interventions. Several studies are ongoing and new ones planned.
CSU Northridge is using mindLAMP to augment data collection for longitudinal studies of smartphone-related cognition and behavior to assess whether higher levels of automaticity (mindless, impulsive use) during the prior phone usage predict lower levels of present mood
Shanghai Mental Health leveraged mindLAMP’s open-source platform to create BrainSmart and investigate whether interactive technology is able to enhance cognitive function of patients at clinical risk for psychosis. Over 100 people are in the study.
The University of Ottawa is investigating the validity of mindLAMP in assessing cognition in individuals with a mental illness. While preliminary, their findings suggest that mindLAMP can be used to assess cognitive impairments in individuals with a mental illness.
BIDMC Anesthesiology is using mindLAMP to understand the feasibility of using electronic-based educational and assessment system around different anesthetic options available prior to surgery, patient engagement, and shared decision making within surgical teams.
BIDMC Neurology is using mindLAMP to investigate longitudinal changes in cognition among individuals with Parkinson's disease. Leveraging the ability to track cognitive changes recorded by the app, they hope to predict early warning signs of dementias
