Bibliography

Publications

Peer-reviewed articles, book chapters, software, and presentations.
For a continuously updated list, see Google Scholar or ORCID.

Section A

Peer-Reviewed Articles

2026
Lampe, E. W., Collins, A. C., Lee, A., Enbar-Salo, N., Griffin, T. Z., Pillai, A., Heinz, M. V., Lekkas, D., Nemesure, M. D., Mackin, D. M., Nepal, S., Campbell, A. T., & Jacobson, N. C.
Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor data. Behaviour Research and Therapy, 187, 104700.
DOI
2025
Collins, A. C., Lekkas, D., Heinz, M. V., Annor, J., Ruan, F., & Jacobson, N. C.
ChatGPT as therapy: A qualitative and network-based thematic profiling of shared experiences, attitudes, and beliefs on Reddit. Journal of Psychiatric Research, 191, 277–284.
DOI
2024
Kline, E. A., Lekkas, D., Bryan, A. C., Nemesure, M. D., Griffin, T. Z., Collins, A. C., Price, G. D., Heinz, M. V., Oh, J. Y., Pillai, A., Nepal, S., Mackin, D. M., Campbell, A. T., & Jacobson, N. C.
The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults. Journal of Affective Disorders, 367, 478–487.
DOI
2024
Nepal, S., Pillai, A., Heinz, M. V., Griffin, T. Z., Collins, A. C., Lekkas, D., Nemesure, M. D., Price, G. D., Mackin, D. M., Campbell, A. T., & Jacobson, N. C.
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(3), 122:1–122:32.
DOI
2025
Haddox, D., Mackin, D., Griffin, T., Heinz, M. V., Nemesure, M. D., Collins, A. C., Price, G. D., Lekkas, D., Pillai, A., Nepal, S., Campbell, A. T., & Jacobson, N. C.
Psychometric properties and validity of a mobile patient health questionnaire-9 (mPHQ-9) for ecological momentary assessment in depressed adults. Psychological Assessment.
DOI
2025
Heinz, M. V., Mackin, D. M., Trudeau, B. M., Wang, Y., Salzhauer, A. J., Griffin, T. Z., & Jacobson, N. C.
Response to Letters about “Randomized Trial of a Generative AI Chatbot for Mental Health Treatment.” NEJM AI, 2(9), AIp2500680.
DOI
2025
Lekkas, D., Collins, A. C., Heinz, M. V., Griffin, T. Z., Pillai, A., Nepal, S. K., Mackin, D. M., Campbell, A. T., & Jacobson, N. C.
Acute suicidal ideation in context: Highlighting sentiment-based markers through the diary entries of a clinically depressed sample. BMC Psychiatry, 25(1), 650.
DOI
2025
Heinz, M. V., Price, G. D., Singh, A., Bhattacharya, S., Chen, C.-H., Asyyed, A., Does, M. B., Hassanpour, S., Hichborn, E., Kotz, D., Lambert-Harris, C. A., Li, Z., McLeman, B., Mishra, V., Stanger, C., Subramaniam, G., Wu, W., Campbell, C. I., Marsch, L. A., & Jacobson, N. C.
A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder. Journal of Substance Use and Addiction Treatment, 173, 209685.
DOI
2025
Collins, A. C., Price, G. D., Moreno, V. A., Mackin, D. M., Oh, J. Y., Heinz, M. V., & Jacobson, N. C.
A comparison of objective and subjective measures of physical activity, sedentary and sleep behaviors between persons with and without depressive symptoms. Journal of Affective Disorders, 375, 22–26.
DOI
2025
Heinz, M. V., Mackin, D. M., Trudeau, B. M., Bhattacharya, S., Wang, Y., Banta, H. A., Jewett, A. D., Salzhauer, A. J., Griffin, T. Z., & Jacobson, N. C.
Randomized Trial of a Generative AI Chatbot for Mental Health Treatment. NEJM AI, 2(4), AIoa2400802.
DOI
2025
Gallagher, M. R., Collins, A. C., Lekkas, D., Nemesure, M. D., Griffin, T. Z., Price, G. D., Heinz, M. V., Pillai, A., Nepal, S., Mackin, D. M., Campbell, A. T., Winer, E. S., & Jacobson, N. C.
Anhedonia in flux: Understanding the associations of emotion regulation and anxiety with anhedonia dynamics in a sample with major depressive disorder. Journal of Affective Disorders, 372, 27–36.
DOI
2025
Pillai, A., Spathis, D., Nepal, S., Collins, A. C., Mackin, D. M., Heinz, M. V., Griffin, T. Z., Jacobson, N. C., & Campbell, A.
Beyond Prompting: Time2Lang — Bridging Time-Series Foundation Models and Large Language Models for Health Sensing. Proceedings of CHIL 2025, PMLR 287, 268–288.
PMLR
2025
Jasser, M. T., Ferland, T., Bocian, T., Goff, M., Gauch, A., Heinz, M. V., Joffrey, E., Morse, R., Albert, D., Frankovich, J., Madan, J. C., & Jasser, M.
Acute Onset Neuropsychiatric Conditions in Children and Adolescents following SARS-CoV-2 Infection: A Case Series. Developmental Neuroscience, 47(4), 316–330.
DOI
2025
Price, G. D., Collins, A. C., Mackin, D. M., Heinz, M. V., & Jacobson, N. C.
Use of passively collected actigraphy data to detect individual depressive symptoms in a clinical subpopulation and a general population. Journal of Psychopathology and Clinical Science, 134(1), 31–40.
DOI
2025
Tlachac, M., Heinz, M. V., Bryan, A. C., LaPreay, A., Dimas, G. L., Zhao, T., Jacobson, N. C., & Ogden, S. S.
Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review. IEEE Transactions on Affective Computing, 1–20.
DOI
2025
Collins, A. C., Lekkas, D., Nemesure, M. D., Griffin, T. Z., Price, G. D., Pillai, A., Nepal, S., Heinz, M. V., Campbell, A. T., & Jacobson, N. C.
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorder. Journal of Psychopathology and Clinical Science, 134(5), 488–502.
DOI
2024
Bryan, A. C.*, Heinz, M. V.*, Salzhauer, A. J., Price, G. D., Tlachac, M. L., & Jacobson, N. C.
Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices, 2(2), 778–810. (*Co-first author)
DOI
2024
Collins, A. C., Lekkas, D., Struble, C. A., Trudeau, B. M., Jewett, A. D., Griffin, T. Z., Nemesure, M. D., Price, G. D., Heinz, M. V., Nepal, S., Pillai, A., Mackin, D. M., Campbell, A. T., Budney, A. J., & Jacobson, N. C.
From mood to use: Using ecological momentary assessments to examine how anhedonia and depressed mood impact cannabis use in a depressed sample. Psychiatry Research, 339, 116110.
DOI
2024
Heinz, M. V., Lekkas, D., Abreu, V., Lee, C., Marsch, L. A., & Jacobson, N. C.
Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorder. npj Mental Health Research, 3(1), 43.
DOI
2024
Heinz, M. V., Yom-Tov, E., Mackin, D. M., Matsumura, R., & Jacobson, N. C.
A large-scale observational comparison of antidepressants and their effects. Journal of Psychiatric Research, 178, 219–224.
DOI
2024
Lekkas, D., Yom-Tov, E., Heinz, M. V., Gyorda, J. A., Nguyen, T., Barr, P. J., & Jacobson, N. C.
The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens. Computers in Human Behavior, 157, 108267.
DOI
2024
Nemesure, M. D., Collins, A. C., Price, G. D., Griffin, T. Z., Pillai, A., Nepal, S., Heinz, M. V., Lekkas, D., Campbell, A. T., & Jacobson, N. C.
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorder. Journal of Psychopathology and Clinical Science, 133(2), 155–166.
DOI
2024
Nepal, S., Pillai, A., Wang, W., Griffin, T., Collins, A. C., Heinz, M. V., Lekkas, D., Mirjafari, S., Nemesure, M., Price, G., Jacobson, N., & Campbell, A.
MoodCapture: Depression Detection using In-the-Wild Smartphone Images. CHI 2024, 1–18.
DOI
2024
Pillai, A., Nepal, S. K., Wang, W., Nemesure, M., Heinz, M. V., Price, G., Lekkas, D., Collins, A. C., Griffin, T., Buck, B., Preum, S. M., Cohen, T., Jacobson, N. C., Ben-Zeev, D., & Campbell, A.
Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. Proceedings of the ACM IMWUT, 7(4), 174:1–174:38.
DOI
2024
Price, G. D., Heinz, M. V., Collins, A. C., & Jacobson, N. C.
Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sample. Psychiatry Research, 332, 115693.
DOI
2024
Tlachac, M., & Heinz, M. V.
Mental Health and Mobile Communication Profiles of Crowdsourced Participants. IEEE Journal of Biomedical and Health Informatics, 28(12), 7683–7692.
DOI
2024
Tlachac, M., Heinz, M. V., Reisch, M., & Ogden, S. S.
Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. Proceedings of the ACM IMWUT, 8(1), 19:1–19:28.
DOI
2023
Heinz, M. V., Bhattacharya, S., Trudeau, B., Quist, R., Song, S. H., Lee, C. M., & Jacobson, N. C.
Testing domain knowledge and risk of bias of a large-scale general AI model in mental health. Digital Health, 9, 20552076231170499.
DOI
2023
Price, G. D., Heinz, M. V., Song, S. H., Nemesure, M. D., & Jacobson, N. C.
Using digital phenotyping to capture depression symptom variability: Detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data. Translational Psychiatry, 13(1), 381.
DOI
2023
Tlachac, M. L., Reisch, M., & Heinz, M. V.
Mobile Communication Log Time Series to Detect Depressive Symptoms. IEEE EMBC 2023, 1–4.
DOI
2023
Wald, E. R., Eickhoff, J., Flood, G. E., Heinz, M. V., Liu, D., Agrawal, A., Morse, R. P., Raney, V. M., Veerapandiyan, A., & Madan, J. C.
Estimate of the incidence of PANDAS and PANS in 3 primary care populations. Frontiers in Pediatrics, 11.
DOI
2023
Wang, B., Nemesure, M. D., Park, C., Price, G. D., Heinz, M. V., & Jacobson, N. C.
Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a year. Journal of Affective Disorders, 329, 293–299.
DOI
2023
Yom-Tov, E., Lekkas, D., Heinz, M. V., Nguyen, T., Barr, P. J., & Jacobson, N. C.
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. Journal of Psychiatric Research, 157, 112–118.
DOI
2022
Heinz, M. V., Price, G. D., Ruan, F., Klein, R. J., Nemesure, M., Lopez, A., & Jacobson, N. C.
Association of Selective Serotonin Reuptake Inhibitor Use With Abnormal Physical Movement Patterns as Detected Using a Piezoelectric Accelerometer and Deep Learning in a Nationally Representative Sample of Noninstitutionalized Persons in the US. JAMA Network Open, 5(4), e225403.
DOI
2022
Jacobson, N. C., Yom-Tov, E., Lekkas, D., Heinz, M. V., Liu, L., & Barr, P. J.
Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation. Journal of Psychiatric Research, 145, 276–283.
DOI
2022
Price, G. D., Heinz, M. V., Nemesure, M. D., McFadden, J., & Jacobson, N. C.
Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychoses. Frontiers in Psychiatry, 13.
DOI
2022
Price, G. D., Heinz, M. V., Zhao, D., Nemesure, M., Ruan, F., & Jacobson, N. C.
An unsupervised machine learning approach using passive movement data to understand depression and schizophrenia. Journal of Affective Disorders, 316, 132–139.
DOI
2021
Nemesure, M. D., Heinz, M. V., Huang, R., & Jacobson, N. C.
Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence. Scientific Reports, 11(1), 1980.
DOI
2020
Jacobson, N. C., Lekkas, D., Price, G., Heinz, M. V., Song, M., O'Malley, A. J., & Barr, P. J.
Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders Are Associated With Alterations in Mental Health Search Behavior in the United States. JMIR Mental Health, 7(6), e19347.
DOI
2019
Meng, X., Heinz, M. V., Ganoe, C. H., Sieberg, R. T., Cheung, Y. Y., & Hassanpour, S.
Understanding Urgency in Radiology Reporting: Identifying Associations Between Clinical Findings in Radiology Reports and Their Prompt Communication to Referring Physicians. MEDINFO 2019 (pp. 1546–1547), IOS Press.
DOI
Section B

Book Chapters

2022
Heinz, M. V., Price, G., Song, S., Bhattacharya, S., & Jacobson, N. C.
Passive Sensing and Generalized Anxiety Disorder. In I. C. Passos, F. D. Rabelo-da-Ponte, & F. Kapczinski (Eds.), Digital Mental Health — A Practitioner's Guide. Springer Nature.
2022
Heinz, M. V., Thomas, N. X., Nguyen, N. D., Griffin, T. Z., & Jacobson, N. C.
Technological advances in clinical assessment. In G. J. G. Asmundson (Ed.), Comprehensive Clinical Psychology (2nd ed., pp. 301–320). Elsevier. ISBN 9780128222324.
Section C

Software & Applications

2023
Heinz, M. V., & Jacobson, N. C.
Open Source Web Platform for Phone Verification and Study Randomization. Available via GitHub.
2022
Heinz, M. V., Haslett, W., Zhou, K., Quist, R., & Jacobson, N. C.
Web Platform for Collecting Manually Curated Data for AI-driven Therapist.
2014–present
Heinz, M. V., & Antosh, R.
QuidPro — A Collaborative Q&A Bank for Medical Education. quidpro.net