Publications with LAMP

Citing the LAMP Platform

If you use the LAMP Platform in your projects or publications, please cite the latest release at the time of publication using the DOI below. (This image will automatically always display only the latest version's DOI.)

2025

Designing smartphone-based cognitive assessments for schizophrenia: Perspectives from a multisite study

mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations from Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation

Is digital alliance associated with engagement & outcomes in guided digital interventions? An analysis of data from two studies

Bridging Science and Hope: integrating and Communicating Lived experience in Accelerating Medicines Partnership® Schizophrenia Program

2024

Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study

Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial

The Digital Clinic: Testing the Feasibility of an Innovative Digital Mental Health Care Delivery Model Designed to Increase Access to Care

The Digital Navigator: Standardizing Human Technology Support in App-Integrated Clinical Care

Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample

Applying continuous-time models to ecological momentary assessments: A practical introduction to the method and demonstration with clinical data

2023

Classifying and clustering mood disorder patients using smartphone data from a feasibility study

Implementing Technologies to Enhance Coordinated Specialty Care Framework: Implementation Outcomes From a Development and Usability Study

The impact of guided versus supportive coaching on mental health app engagement and clinical outcomes

Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research.

Monitoring sleep using smartphone data in a population of college students

Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

Increasing the value of digital phenotyping through reducing missingness: a retrospective review and analysis of prior studies

Smartphone app engagement and clinical outcomes in a hybrid clinic

Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study

An exploratory analysis of the effect size of the mobile mental health Application, mindLAMP

2022

Digital Futures in Mind: Reflecting on Technological Experiments in Mental Health & Crisis

Usable Data Visualization for Digital Biomarkers: An Analysis of Usability, Data Sharing, and Clinician Contact. Digital Biomarkers

Digital phenotyping correlations in larger mental health samples: analysis and replication

The Appalachia Mind Health Initiative (AMHI): a pragmatic randomized clinical trial of adjunctive internet-based cognitive behavior therapy for treating major depressive disorder among primary care patients

Longitudinal symptom changes and association with home time in people with schizophrenia: An observational digital phenotyping study

Piloting Smartphone Digital Phenotyping to Understand Problematic Internet Use in an Adolescent and Young Adult Sample

Global Collaboration Around Digital Mental Health: The LAMP Consortium

Exploring the Neuropsychiatric Sequalae of Perceived COVID-19 Exposure in College Students: A Pilot Digital Phenotyping Study

Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study

2021

Cross cultural and global uses of a digital mental health app: results of focus groups with clinicians, patients and family members in India and the United States

Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia

Digital Phenotyping for Spinal Cord Injury: Smartphone-based monitors for clinical utility.

Smartphone-Based Neuropsychological Assessment in Parkinson’s Disease: Feasibility, Validity, and Contextually Driven Variability in Cognition

Enhancing attention and memory of individuals at clinical high risk for psychosis with mHealth technology

Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness: Longitudinal Observational Study

Smartphone Health Assessment for Relapse Prevention (SHARP): a digital solution toward global mental health

Technology Enabled Clinical Care (TECC): Protocol for a Prospective Longitudinal Cohort Study of Smartphone-Augmented Mental Health Treatment

2020

Multiple uses of app instead of using multiple apps – a case for rethinking the digital health technology toolbox

A pilot study using ecological momentary assessment via smartphone application to identify adolescent problematic internet use

Patient Innovation in Investigating the Effects of Environmental Pollution in Schizophrenia: Case Report of Digital Phenotyping Beyond Apps

Feasibility and correlations of smartphone meta‐data toward dynamic understanding of depression and suicide risk in schizophrenia.

2019

Assessing the potential of longitudinal smartphone based cognitive assessment in schizophrenia: A naturalistic pilot study.

Using a Smartphone App to Identify Clinically Relevant Behavior Trends via Symptom Report, Cognition Scores, and Exercise Levels: A Case Series

Actionable digital phenotyping: a framework for the delivery of just-in-time and longitudinal interventions in clinical healthcare

Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach