Publications

From mood to use: Using ecological momentary assessments to examine how anhedonia and depressed mood impact cannabis use in a depressed sample
Amanda C. Collins, Damien Lekkas, Cara A. Struble, Brianna M. Trudeau, Abi D. Jewett, Tess Z Griffin, Matthew D. Nemesure, George D. Price, Michael V. Heinz, Subigya Nepal, Arvind Pillai, Daniel M. Mackin, Andrew T. Campbell, Alan T. Budney, Nicholas C. Jacobson
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Evaluating a mobile app’s effects on depression and anxiety in medication-treated opioid use disorder
Michael V. Heinz, Damien Lekkas, Veronica Abreu, Camilla Lee, Lisa A. Marsch, Nicholas C. Jacobson
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Detecting longitudinal trends between passively collected phone use and anxiety among college students
Joseph A. Gyorda, Damien Lekkas, Nicholas C. Jacobson
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Breaking the silence: Leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning
Damien Lekkas, Nicholas C. Jacobson
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Anhedonia in flux: Understanding the associations of emotion regulation and anxiety with anhedonia dynamics in a sample with major depressive disorder
Michael R. Gallagher, Amanda C. Collins, Damien Lekkas, Matthew D. Nemesure, Tess Z Griffin, George D. Price, Michael V. Heinz, Arvind Pillai, Subigya Nepal, Daniel M. Mackin, Andrew T. Campbell, E. Samuel Winer, Nicholas C. Jacobson
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The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults
Emily A. Kline, Damien Lekkas, Anastasia Bryan, Matthew D. Nemesure, Tess Z Griffin, Amanda C. Collins, George D. Price, Michael V. Heinz, Subigya Nepal, Arvind Pillai, Andrew T. Campbell, Nicholas C. Jacobson
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Comparing transdiagnostic risk factors: Predicting emergence of significant depressive, anxiety, and substance abuse symptoms among juvenile delinquents
Robert J. Klein, Damien Lekkas, Nhi D. Nguyen, Nicholas C. Jacobson
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The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens
Damien Lekkas, Elad Yom-Tov, Michael V. Heinz, Joseph A. Gyorda, Theresa Nguyen, Paul J. Barr, Nicholas C. Jacobson
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Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorder.
Matthew D. Nemesure, Amanda C. Collins, George D. Price, Tess Z Griffin, Arvind Pillai, Subigya K. Nepal, Michael V. Heinz, Damien Lekkas, Andrew T. Campbell, Nicholas C. Jacobson
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The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression
Damien Lekkas, Nicholas C. Jacobson
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Dysregulated emotion and trying substances in childhood: Insights from a large nationally representative cohort study
Robert J. Klein, Joseph A. Gyorda, Damien Lekkas, Nicholas C. Jacobson
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Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms
Damien Lekkas, Joseph A. Gyorda, George D. Price, Nicholas C. Jacobson
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Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning
Damien Lekkas, Joseph A. Gyorda, Erika L. Moen, Nicholas C. Jacobson
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Digitally filling the access gap in mental health care: An investigation of the association between rurality and online engagement with validated self-report screens across the United States
Elad Yom-Tov, Damien Lekkas, Michael V. Heinz, Theresa Nguyen, Paul J. Barr, Nicholas C. Jacobson
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Predictive modeling of suicidal ideation in patients with epilepsy
Matthew D. Nemesure, Nicholas Streltzov, Lindsay M. Shommer, Damien Lekkas, Nicholas C. Jacobson, Krzysztof A. Bujarski
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A machine learning investigation into the temporal dynamics of physical activity‐mediated emotional regulation in adolescents with anorexia nervosa and healthy controls
Damien Lekkas, Joseph A. Gyorda, Nicholas C. Jacobson
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Evaluating the impact of mask mandates and political party affiliation on mental health internet search behavior in the United States during the COVID-19 pandemic: Generalized additive mixed model framework
Joseph A. Gyorda, Damien Lekkas, George D. Price, Nicholas C. Jacobson
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Using the COVID-19 pandemic to assess the influence of news affect on online mental health-related search behavior across the United States: Integrated sentiment analysis and the circumplex model of affect
Damien Lekkas, Joseph A. Gyorda, George D. Price, Zoe Wortzman, Nicholas C. Jacobson
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Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom
Damien Lekkas, George D. Price, Nicholas C. Jacobson
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The application of machine learning to online mindfulness intervention data: A primer and empirical example in compliance assessment
Damien Lekkas, George D. Price, Jason McFadden, Nicholas C. Jacobson
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Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Damien Lekkas, Robert J. Klein, Nicholas C. Jacobson
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Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation
Elad Yom-Tov, Damien Lekkas, Nicholas C. Jacobson
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Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma
Damien Lekkas, Nicholas C. Jacobson
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Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years
Nicholas C. Jacobson, Damien Lekkas, Raphael Huang, Natalie Thomas
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Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort
Nicholas C. Jacobson, Elad Yom-Tov, Damien Lekkas, Michael V. Heinz, Lili Liu, Paul J. Barr
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Flattening the mental health curve: COVID-19 stay-at-home orders are associated with alterations in mental health search behavior in the United States
Nicholas C. Jacobson, Damien Lekkas, George D. Price, Michael V. Heinz, Minkeun Song, A. James O'Malley, Paul J. Barr
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