{"id":44,"date":"2020-05-27T16:09:51","date_gmt":"2020-05-27T16:09:51","guid":{"rendered":"https:\/\/geiselmed.dartmouth.edu\/jacobsonlab\/?page_id=44"},"modified":"2025-06-30T17:26:18","modified_gmt":"2025-06-30T17:26:18","slug":"publications","status":"publish","type":"page","link":"https:\/\/geiselmed.dartmouth.edu\/jacobsonlab\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
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\u00a02025<\/a>\u00a0\u2022\u00a02024<\/a> \u2022\u00a02023<\/a> \u2022\u00a02022<\/a> \u2022 2021<\/a> \u2022 2020<\/a> \u2022 2019<\/a> \u2022 2018<\/a> \u2022 2017<\/a> \u2022 2016<\/a> \u2022 2015<\/a> \u2022 2014<\/a> \u2022 2013<\/a> \u2022 <\/strong>2011<\/strong><\/a><\/span><\/p>\n

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122<\/span><\/p>\n<\/td>\n

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<\/a>Tlachac, M.L., Heinz, M.V.,* Bryan, A.C.,* LaPreay, A., Dimas, G.L., Zhao, T., Jacobson, N.C.<\/strong>, & Ogden, S.S. (2025, in press). Datasets of smartphone modalities for depression assessment: A scoping review. IEEE Transactions on Affective Computing<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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121<\/span><\/p>\n<\/td>\n

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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.<\/u><\/strong> (2025, in press). Randomized trial of a generative AI chatbot for mental health treatment. New England Journal of Medicine \u2013 AI (NEJM AI).<\/em>\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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120<\/span><\/p>\n<\/td>\n

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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.<\/u><\/strong> (2025). 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<\/em>, 173<\/em>, 209685. https:\/\/doi.org\/10.1016\/j.josat.2025.209685<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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119<\/span><\/p>\n<\/td>\n

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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.<\/u><\/strong> (2025, in press). 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<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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118<\/span><\/p>\n<\/td>\n

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Collins, A.C.,* Price, G.D.,* Moreno, V.A.,* Mackin, D.M.,* Oh, J.Y.,* Heinz, M.V.,* & Jacobson, N.C.<\/u><\/strong> (2025, in press). 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.<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

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117<\/span><\/p>\n<\/td>\n

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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.<\/u><\/strong> (2025). 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<\/em>, 27\u201336. https:\/\/doi.org\/10.1016\/j.jad.2024.11.059<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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116<\/span><\/p>\n<\/td>\n

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<\/a>Fitzsimmons-Craft, E.E., & Jacobson, N.C.<\/u><\/strong> (2024). Eating Disorders Care and the Promises and Pitfalls of Artificial Intelligence. Missouri Medicine<\/em>, 121<\/em>(5), 345\u2013349<\/span><\/p>\n<\/td>\n<\/tr>\n

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115<\/span><\/p>\n<\/td>\n

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Adler, D.A., Yang, Y., Viranda, T., Xu, X., Mohr, D.C., Van Meter, A.R., Tartaglia, J. C., Jacobson, N.C.<\/strong>, Wang, F., Estrin, D., & Choudhury, T. (2024). Beyond detection: Towards actionable sensing research in clinical mental healthcare. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies<\/em>, 8<\/em>(4), 160, 1\u201333. https:\/\/doi.org\/10.1145\/3699755<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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114<\/span><\/p>\n<\/td>\n

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Nepal, S., Pillai, A., Campbell, W., Massachi, T., Heinz, M.V.,* Kunwar, A., Choi, E.S., Xu, O., Kuc, J., Huckins, J., Holden, J., Preum, S. M., Depp, C., Jacobson, N.C.<\/strong>, Czerwinski, M., & Granholm, E. (In press, 2024). MindScape study: Integrating LLM and behavioral sensing for personalized AI-driven journaling experiences. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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113<\/span><\/p>\n<\/td>\n

Collins, A.C.,* Price, G.D.,* Dainer-Best, J., Haddox, D.,* Beevers, C.G., & Jacobson, N.C.<\/u><\/strong> (in press). Changes to positive self-schemas after a positive imagery training are predicted by participant characteristics in a sample with elevated depressive symptoms.\u00a0Cognitive Therapy and Research.<\/em><\/span><\/td>\n<\/tr>\n
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112<\/span><\/p>\n<\/td>\n

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Heinz, M.V.,* Lekkas, D.,* Abreu, V.,* Lee, C.,* Marsch, L.A., & Jacobson, N.C.<\/u><\/strong> (In press, 2024). Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorder. Nature Partner Journal (npj) Mental Health Research.<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

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111<\/span><\/p>\n<\/td>\n

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Lekkas, D.,* & Jacobson, N.C.<\/u><\/strong> (In press). Breaking the Silence: Leveraging Social Interaction Data to Identify High-Risk Suicide Users Online Using Network Analysis and Machine Learning. Scientific Reports<\/em>. https:\/\/doi.org\/10.31234\/osf.io\/m6h4x<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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110<\/span><\/p>\n<\/td>\n

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Heinz, M.V.,* Yom-Tov, E., Mackin, D.M.,* Matsumura, R.,* & Jacobson, N. C.<\/u><\/strong> (2024). A large-scale observational comparison of antidepressants and their effects. Journal of Psychiatric Research<\/em>. https:\/\/doi.org\/10.1016\/j.jpsychires.2024.08.001<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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109<\/span><\/p>\n<\/td>\n

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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.,*\u00a0 Nepal, S., Pillai, A., Mackin, D.M.,* Campbell, A.T., Budney, A.J., & Jacobson, N.C.<\/u><\/strong> (In press, 2024).\u00a0From mood to use: Using ecological momentary assessments to examine how anhedonia and depressed mood impact cannabis use in a depressed sample.\u00a0Psychiatry Research<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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108<\/span><\/p>\n<\/td>\n

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Kline, E.A.,* Lekkas, D.,* Bryan, A.,* Nemesure, M.D.,* Griffin, T.Z.,* Collins, A.C.,* Price, G.D.,*\u00a0 Heinz, M.V.,* Nepal, S., Pillai, A., Campbell, A.T., & Jacobson, N.C.<\/u><\/strong> (In press, 2024). The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults.\u00a0Journal of Affective Disorders<\/em>.\u00a0https:\/\/doi.org\/10.1016\/j.jad.2024.07.104<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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107<\/span><\/p>\n<\/td>\n

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Collins, A.C.,* Bhattacharya, S.,* Oh, J.Y.,* Salzhauer, A.,* Taylor, C.T., Wolitzky-Taylor, K., Aupperle, R.L., Budney, A.J., & Jacobson, N.C.<\/u> <\/b>(In press, 2024). Inclusion of individuals with lived experiences in the development of a digital intervention for co-occurring depression and cannabis use. JMIR Formative Research<\/i>.
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106<\/span><\/p>\n<\/td>\n

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Gyorda, J.A.,* Lekkas, D.,* & Jacobson, N.C.<\/u><\/strong> (In press, 2024). Detecting longitudinal trends between passively-collected phone use and anxiety among college students. Digital Biomarkers<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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105<\/span><\/p>\n<\/td>\n

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Langener, A.M.,* Siepe, B.S., Elsherif, M., Niemeijer, K., Andresen, P.K., Akre, S., Bringmann, L.F., Cohen, Z.D., Choukas, N.R., Drexl, K., Fassi, L., Green, J., Hoffmann, T., Jagesar, R.R., Kas, M.J.H., Kurten, S., Schoedel, R., Stulp, G., Turner, G., & Jacobson, N.C.<\/u><\/strong> (In press, 2024). A template and tutorial for preregistering studies using passive smartphone measures. Behavior Research Methods.<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

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104<\/span><\/p>\n<\/td>\n

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Nepal, S., Pillai, A., Wang, W., Griffin, T.,* Collins, A.,* Heinz, M.,* Lekkas, D.,* Mirjafari, S., Nemesure, M.,* Price, G.,* Jacobson, N.,<\/strong> & Campbell, A.T. (2024). MoodCapture: Depression detection using in-the-wild smartphone images. CHI<\/em>. https:\/\/doi.org\/10.1145\/3613904.3642680<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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103<\/span><\/p>\n<\/td>\n

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Price, G.D.,* Collins, A.C.,* Mackin, D.M.,* Heinz, M.V.,* & Jacobson, N.C.<\/u><\/strong>. (2024, In press). 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<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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102<\/span><\/p>\n<\/td>\n

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Nepal, S., Pillai, A., Campbell, W., Massachi, T., Choi, E. S., Xu, X., Kuc, J., Huckins, J. F., Holden, J., Depp, C., Jacobson, N.C.<\/strong>, Czerwinski, M. P., Granholm, E., & Campbell, A.T. (2024). Contextual AI journaling: Integrating LLM and time series behavioral sensing technology to promote self-reflection and well-being using the MindScape app. CHI<\/em>. https:\/\/doi.org\/10.1145\/3613905.3650767<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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101<\/span><\/p>\n<\/td>\n

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Dorris, H.,* Oh, J.Y.,* & Jacobson, N.C. <\/u><\/b>(2024). Wearable Movement Data as a Potential Digital Biomarker for Chronic Pain: An Investigation Using Deep Learning. Physical Activity and Health Journal<\/i>. https:\/\/doi.org\/10.5334\/paah.329<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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100<\/span><\/p>\n<\/td>\n

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Lekkas, D.,* Yom-Tov, E., Heinz, M.V.,* Gyorda, J.A.,* Nguyen, T., Barr, P.J., & Jacobson, N.C.<\/u><\/strong> (2024). The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens. Computers in Human Behavior<\/em>. https:\/\/doi.org\/10.1016\/j.chb.2024.108267<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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99<\/span><\/p>\n<\/td>\n

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Klein, R.J.,* Lekkas, D.,* Nguyen, N.D.,* & Jacobson, N.C.<\/u><\/strong> (2024). Comparing transdiagnostic risk factors: Predicting emergence of significant depressive, anxiety, and substance abuse symptoms among juvenile delinquents. Child Psychiatry & Human Development<\/em>. https:\/\/doi.org\/10.1007\/s10578-024-01682-6<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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98<\/span><\/p>\n<\/td>\n

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Langener, A.M.,* Stulp, G., Jacobson, N.C.<\/strong> Costanzo, A., Jagesar, R.R., Kas, M.J. & Bringmann, L.F. (2024). It\u2019s all about timing: Exploring different temporal resolutions for analyzing digital phenotyping data. Advances in Methods and Practices in Psychological Science (AMPPS).<\/em> https:\/\/doi.org\/10.1177\/25152459231202677<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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97<\/span><\/p>\n<\/td>\n

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Price, G.D.,* Heinz, M.V.,* Collins, A.C.*, & Jacobson, N.C.<\/u><\/strong> (2024). Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sample. Psychiatry Research<\/em>. https:\/\/doi.org\/10.1016\/j.psychres.2023.115693<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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96<\/span><\/p>\n<\/td>\n

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Bryan, A.C.,* Heinz, M.V.,* Salzhauer, A.J.*, Price, G.D.,* Tlachac, M.L., & Jacobson, N.C.<\/u><\/strong> (In press, 2024). Behind the screen: A narrative review of advancements in mobile and wearable passive sensing for mental health assessment. Biomedical Materials and Devices<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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95<\/span><\/p>\n<\/td>\n

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Deisenhofer, A.-K., Barkham, M., Beierl, E.T., Schwartz, B., Aafjes-van Doorn, K., Beevers, C.G., Berwian, I.M., Blackwell, S.E., Bockting, C.L., Brakemeier, E.-L., Brown, G., Buckman, J.E.J., Castonguay, L.G., Cusack, C.E., Dalgleish, T., de Jong, K., Delgadillo, J., DeRubeis, R.J., Driessen, E., Ehrenreich-May, J., Fisher, A., Fried, E.I., Fritz, J., Furukawa, T.A., Gillan, C.M., G\u00f3mez Penedo, J.M., Hitchcock, P.F., Hofmann, S.G., Hollon, S.D., Jacobson, N.C.<\/strong>, Karlin, D.R., Lee, C.T., Levinson, C.A., Lorenzo-Luaces, L., McDanal, R., Moggia, D., Ng, M.Y., Norris, L.A., Patel, V., Piccirillo, M.L., Pilling, S., Rubel, J.A., Salazar-de-Pablo, G., Schleider, J.L., Schnurr, P.P., Schueller, S.M., Siegle, G.J., Uher, R., Watkins, E., Webb, C.A., Wiltsey Stirman, S., Wynants, L., Youn, S.J., Zilcha-Mano, S., Lutz, W., & Cohen, Z.D. (2024). Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward. Behaviour Research and Therapy<\/em>. https:\/\/doi.org\/10.1016\/j.brat.2023.104443<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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94<\/span><\/p>\n<\/td>\n

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<\/a><\/a>Pillai, A., Nepal, S., Wang, W., Nemesure, M.D.,* Heinz, M.V.,* Price, G.,* Lekkas, D.,* Collins, A.C.,* Griffin, T.Z.,* Buck, B., Preum, S.M., Cohen, T., Jacobson, N.C.<\/strong>, Ben-Zeev, D., & Campbell, A.T. (2023). Investigating generalizability of speech-based suicidal ideation detection using mobile phones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7<\/em>(4). https:\/\/doi.org\/10.1145\/3631452<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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93<\/span><\/p>\n<\/td>\n

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Price, G.D.,* Heinz, M.V.,* Song, S.H.,* Nemesure, M.,* & Jacobson, N.C.<\/u> <\/b>(2023). Using Digital Phenotyping to Capture Depression Symptom Variability: Detecting Naturalistic Variability in Depression Across One Year Using Passively-Collected Wearable Movement and Sleep Data. Translational Psychiatry. <\/i>https:\/\/doi.org\/10.1038\/s41398-023-02669-y<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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92<\/span><\/p>\n<\/td>\n

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Zainal, H. & Jacobson, N.C.<\/u><\/strong> Reliability (or Lack Thereof) of Smartphone-Delivered Visual Dot Probe Attention Bias Indices (2023), Journal of Behavior Therapy and Experimental Psychiatry<\/em>.https:\/\/doi.org\/10.1016\/j.jbtep.2023.101918<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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91<\/span><\/p>\n<\/td>\n

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Lekkas, D.,* & Jacobson, N.C.<\/u><\/strong> (2023). The Hidden Depths of Suicidal Discourse: Network Analysis and Natural Language Processing Unmask Uncensored Expression. Digital Health<\/em>. https:\/\/doi.org\/10.1177\/20552076231210714<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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90<\/span><\/p>\n<\/td>\n

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Scodari, B.T.,* Chacko, S.,* Masumura, R.,* & Jacobson, N.C.<\/u><\/strong> (2023). Using Machine Learning to Forecast Depressive Symptom Changes Among Subclinical Depressed Patients Receiving Stepped-Care Delivery or Usual Care. Journal of Affective Disorders<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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89<\/span><\/p>\n<\/td>\n

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Lekkas, D.,* Gyorda, J.* & Jacobson, N.C.<\/u><\/strong> (2023). Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms. Behaviour Research and Therapy<\/em>.<\/span><\/p>\n<\/td>\n<\/tr>\n

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88<\/span><\/p>\n<\/td>\n

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Nemesure, M.D.,* Collins, A.C.,* Price, G.,* Griffin, T.Z.,* Pillai, A., Nepal, S., Heinz, M.V.,* Lekkas, D.,* Campbell, A.T., & Jacobson, N.C.<\/u><\/strong> (2023). 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. <\/em>https:\/\/doi.org\/10.31234\/osf.io\/pf4kc<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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87<\/span><\/p>\n<\/td>\n

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Collins, A.C.*, Price, G.*, Woodworth, R.J., & Jacobson, N.C.<\/u><\/strong> (2023). Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach. Journal of Positive Psychology.<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

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86<\/span><\/p>\n<\/td>\n

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Teepe, G.W.,* Lukic, Y.X., Kleim, B., Jacobson, N.C.<\/strong><\/span>, Schneider, F., Santhanam, P., Fleisch, E., & Kowatsch, T. (2023). Development of a digital biomarker and intervention for subclinical depression: Study protocol for a longitudinal waitlist control study. BMC Psychology, 11<\/em>, 186. https:\/\/doi.org\/10.1186\/s40359-023-01215-1<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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85<\/span><\/p>\n<\/td>\n

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Klein, R.J.,* Gyorda, J.A.,* Lekkas, D.,* & Jacobson, N.C.<\/u><\/strong> (2023). Dysregulated emotion and trying substances in childhood: Insights from a large nationally representative cohort study. Substance Use and Misuse.<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

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84<\/span><\/p>\n<\/td>\n

Campbell, C.I., Chen, C.-H., Adams, S.R., Asyyed, A., Athale, N.R., Does, M.B., Hassanpour, S., Hichborn, E., Jackson-Morris, M., Jacobson, N.C.<\/span>,<\/strong> Jones, H.K., Kotz, D., Lambert-Harris, C.A., Li, Z., McLeman, B., Mishra, V., Stanger, C., Subramaniam, G., Wu, W., Zegers, C., & Marsch, L.A. (2023). Patient Engagement in Multi-Modal Digital Phenotyping for Opioid Use Disorder. Journal of Medical Internet Research (JMIR).<\/em><\/span><\/td>\n<\/tr>\n
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83<\/span><\/p>\n<\/td>\n

Heinz, M.V.*, Bhattacharya, S.*, Trudeau, B.*, Quist, R.*, Song, S.H*, Lee, C.M.*, & Jacobson, N.C.<\/u><\/strong> (2023). Testing Domain Knowledge and Risk of Bias of a Large Scale General A.I. Model in Mental Health. Digital Health<\/em>.<\/span><\/td>\n<\/tr>\n
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82<\/span><\/p>\n<\/td>\n

Wang, B.,* Nemesure, M.D.,* Park, C.,* Price, G.D.,* Heinz, M.V.* &\u00a0Jacobson N.C.<\/u>\u00a0<\/b>(2023). Leveraging Deep Learning Models to Understand the Daily Experience of Anxiety in Teenagers over the Course of a Year. Journal of Affective Disorders, 329<\/i>, 293-299. https:\/\/doi.org\/10.1016\/j.jad.2023.02.084<\/a><\/span><\/td>\n<\/tr>\n
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81<\/span><\/p>\n<\/td>\n

Gyorda, J.A.*, Lekkas, D.*, Price, G.*, & Jacobson, N.C.<\/u><\/strong> (2023). Evaluating the impact of mask mandates and political party on mental health search behavior in the United States during the COVID-19 pandemic: A generalized additive mixed model framework. Journal of Medical Internet Research (JMIR)<\/em>. https:\/\/doi.org\/10.2196\/40308<\/a><\/span><\/td>\n<\/tr>\n
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80<\/span><\/p>\n<\/td>\n

<\/a>Greenberg, J.L., Phillips, K.A., Hoeppner, S.S., Jacobson, N.C.<\/strong><\/span>, Fang, A., & Wilhelm S. (2022). Mechanisms of Cognitive Behavioral Therapy vs. Supportive Psychotherapy in Body Dysmorphic Disorder: An Exploratory Mediation Analysis. Behaviour Research and Therapy<\/em>. https:\/\/doi.org\/10.1016\/j.brat.2022.104251<\/a><\/span><\/td>\n<\/tr>\n
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79<\/span><\/p>\n<\/td>\n

Jacobson, N.C.<\/u><\/strong>, Funk, B. & Abdullah, S. (2022). Editorial: Leveraging Technology for Comprehensive Mental Health Assessment: Pairing Quantitative Models with Passively Collected Sensor Data. Frontiers in Psychology<\/em>. https:\/\/doi.org\/10.3389\/fpsyg.2022.1126971<\/a><\/span><\/td>\n<\/tr>\n
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78<\/span><\/p>\n<\/td>\n

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Jacobson, N.C.,<\/u>\u00a0<\/b>Erickson, T., Quach, C.M., & Singh, N.B. (2022). Low Emotion Differentiation as a Transdiagnostic Risk Factor: Idiographic and Nomothetic Measurements Predicting Anxiety, Depression, and Personality Pathology. Cognitive Therapy and Research. <\/i>http:\/\/dx.doi.org\/10.1007\/s10608-022-10347-4<\/a><\/span><\/div>\n<\/td>\n<\/tr>\n
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77<\/span><\/p>\n<\/td>\n

Nemesure, M.D.*, Park, C.*, Morris, R., Chan, W. Fitzsimmons-Craft, E.E., Rackoff, C.G., Fowler, L., Taylor, C.B., & Jacobson, N.C.<\/u><\/strong> (2022). Evaluating Change in Body Image Concerns Following a Single Session Digital Intervention. Body Image<\/em>, 44<\/em>, 64-68. <\/em>https:\/\/doi.org\/10.1016\/j.bodyim.2022.11.007<\/a><\/span><\/td>\n<\/tr>\n
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76<\/span><\/p>\n<\/td>\n

Yom-Tov, E., Lekkas, D.*, Heinz, M.V.*, Nguyen, T., Barr, P.J., & Jacobson, N.C.<\/u><\/strong> (2022). 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<\/em>. https:\/\/doi.org\/10.1016\/j.jpsychires.2022.11.024<\/a><\/span><\/td>\n<\/tr>\n
\n

75<\/span><\/p>\n<\/td>\n

Klein R.J.,* Rapaport, R.,* Gyorda, J.A., Jacobson, N.C.<\/strong><\/span> & Robinson, M.D. (2022). Second-to-Second Affective Responses to Images Correspond with Affective Reactivity, Variability, and Instability in Daily Life. Experimental Psychology<\/em>.<\/span><\/td>\n<\/tr>\n
\n

74<\/span><\/p>\n<\/td>\n

Anderson, M.A., Budney, A.J., Jacobson, N.C.<\/strong><\/span>, Nahum-Shani, I., & Stanger. (2022). End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping with Cannabis Cravings: Formative Study. JMIR Formative Research<\/em>. https:\/\/doi.org\/10.2196\/40139<\/a><\/span><\/td>\n<\/tr>\n
\n

73<\/span><\/p>\n<\/td>\n

Lekkas, D.*, Gyorda, J.A.*, Moen, E.L., & Jacobson, N.C.<\/span><\/strong> (2022). Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning. PLOS One<\/em>.<\/span><\/td>\n<\/tr>\n
\n

72<\/span><\/p>\n<\/td>\n

Gyorda, J.A.*, Nemesure, M.*, Price G.*, & Jacobson, N.C.<\/u><\/strong> (2022). Applying Ensemble Machine Learning Models to Predict Individual Response to a Digitally Delivered Worry Postponement Intervention. Journal of Affective Disorders. <\/em>https:\/\/doi.org\/10.1016\/j.jad.2022.09.112<\/a><\/span><\/td>\n<\/tr>\n
\n

71<\/span><\/p>\n<\/td>\n

Jacobson, N.C.<\/u><\/strong>, Arean, P., & Schueller, S.M. (2022). Mobile-phone based interventions for mental health show promise of effectiveness, but what does the evidence tell us about what needs to come next? PLOS Digital Health<\/em>.<\/span><\/td>\n<\/tr>\n
\n

70<\/span><\/p>\n<\/td>\n

Lekkas, D.*, Gyorda, J.A.*, & Jacobson, N.C. <\/u><\/strong>(2022). The Temporal Dynamics of Physical Activity-Mediated Emotional Regulation in Adolescents with Anorexia Nervosa and Healthy Controls: Investigating the Impact of Physical Activity on Self-Report Emotion with Wearable Technology and Lag-Ensemble Machine Learning. European Eating Disorders Review<\/em>. https:\/\/doi.org\/10.1002\/erv.2949<\/a><\/span><\/td>\n<\/tr>\n
\n

69<\/span><\/p>\n<\/td>\n

Price, G.D.*, Heinz, M.V.*, Zhao, D.*, Nemesure, M.*, Ruan, F.*, & Jacobson, N.C.<\/u><\/strong> (2022). An Unsupervised Machine Learning Approach Using Passive Movement Data to Understand Depression and Schizophrenia. Journal of Affective Disorders. <\/em>https:\/\/doi.org\/10.1016\/j.jad.2022.08.013<\/a><\/span><\/td>\n<\/tr>\n
\n

68<\/span><\/p>\n<\/td>\n

Price, G.D.,* Heinz, M.V.,* Nemesure, M.D.,* McFadden, J.,* Jacobson, N.C.<\/u><\/strong> (2022). Predicting Symptom Response and Engagement in a Digital Intervention Among Individuals with Schizophrenia and Related Psychoses. Frontiers in Psychiatry<\/em>. https:\/\/doi.org\/10.3389\/fpsyt.2022.807116<\/a><\/span><\/td>\n<\/tr>\n
\n

67<\/span><\/p>\n<\/td>\n

Klein, R. J.,* Jacobson, N.C.<\/strong><\/span> & Robinson, M.D. (2022). A Psychological Flexibility Perspective on Well-Being Emotional Reactivity, Adaptive Choices, and Daily Experiences. Emotion<\/em>.<\/span><\/td>\n<\/tr>\n
66<\/span><\/td>\nJacobson, N.C.<\/u><\/strong> & Feng, B.Y.* (2022). Digital Phenotyping of Generalized Anxiety Disorder: Using Artificial Intelligence to Accurately Predict Symptom Severity Using Wearable Sensors in Daily Life. Translational Psychiatry. <\/em><\/span><\/td>\n<\/tr>\n
65<\/span><\/td>\nNemesure, M.D.*, Streltzov, N., Schommer, L.M. Lekkas, D.*, Jacobson, N.C.<\/strong><\/span> & Bujarski, K.A. (2022). Predictive Modeling of Suicidal Ideation in Patients with Epilepsy. Epilepsia<\/em>.<\/span><\/td>\n<\/tr>\n
64<\/span><\/td>\nGreenberg JL, Jacobson NC<\/strong><\/span>, Hoeppner SS, Bernstein EE, Snorrason I, Schwartzberg A, Steketee G, Phillips KA, Wilhelm S. (2022). Early Response to Cognitive Behavioral Therapy for Body Dysmorphic Disorder as a Predictor of Outcomes. Journal of Psychiatric Research<\/em>.<\/span><\/td>\n<\/tr>\n
63<\/span><\/td>\nZarate, D., Stavropoulos, V., Ball, M., de Sena Collier, G., Jacobson, N.C.<\/u><\/strong>(2022). Exploring the Digital Footprint of Depression: A PRISMA Systematic Literature Review of the Empirical Evidence. BMC Psychiatry.<\/em><\/span><\/td>\n<\/tr>\n
62<\/span><\/td>\nMarsch, L. A. Chen, C., Adams, S.R., Asyyed, A., Does, M. B. Hassanpour, S., Hichborn, E., Jackson-Morris, M., Jacobson, N.C.<\/span>,<\/strong> Jones, H.K., Kotz, D., Lambert-Harris, CA., Li, Z., McLeman, B., Mishra, V., Stanger, C., Subramaniam, G., Wu, W., and Campbell, C.I. (2022). The feasibility and utility of harnessing digital health to understand clinical trajectories in medication treatment for Opioid Use Disorder: D-TECT Study Design and Methodological Considerations. Frontiers in Psychiatry<\/em>. https:\/\/doi.org\/10.3389\/fpsyt.2022.871916<\/a><\/span><\/td>\n<\/tr>\n
61<\/span><\/td>\nHart, A., Rais, D., Prestele, E. & Jacobson, N.C.<\/u><\/strong> (2022). Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment. Journal of Medical Internet Research (JMIR).<\/em>https:\/\/doi.org\/10.2196\/34015<\/a><\/span><\/td>\n<\/tr>\n
60<\/span><\/td>\nKlein, R.J.,* Gyorda, J.A.*, & Jacobson, N.C<\/u><\/strong>. (2022). Anxiety, depression, and substance experimentation in childhood. PLOS One<\/em>. https:\/\/doi.org\/10.1371\/journal.pone.0265239<\/a><\/span><\/td>\n<\/tr>\n
59<\/span><\/td>\nHeinz, M.V.*, Price, G.*, Ruan, F.*, Klein, R.J.*, Nemesure, M.*, Lopez, A.,* & Jacobson, N.C<\/u><\/strong>. (2022). 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. <\/em>https:\/\/doi.org\/10.1001\/jamanetworkopen.2022.5403<\/a><\/span><\/td>\n<\/tr>\n
58<\/span><\/td>\nKlein, R.J.,* Nguyen, N.,* Gyorda, J.A.*, & Jacobson, N.C<\/u><\/strong>. (2022) Adolescent emotion regulation and future psychopathology: A prospective transdiagnostic analysis. Journal of Research on Adolescence<\/em>. https:\/\/doi.org\/10.1111\/jora.12743<\/a><\/span><\/td>\n<\/tr>\n
57<\/span><\/td>\nJacobson, N.C.<\/u><\/strong>,<\/u> Chen, W.*, Huang, R.* (2022) Standalone Apps for Anxiety and Depression Show Promising Early Efficacy: A Commentary on Meta-Analytic Results. Meta-Psychology. <\/em>doi:https:\/\/doi.org\/10.31234\/osf.io\/v48w9<\/a><\/span><\/td>\n<\/tr>\n
56<\/span><\/td>\nFitzsimmons-Craft, E.E., Chan, W.S., Smith, A.C., Firebaugh, M., Fowler, L.A., DePietro, B., Topooco, N., Wilfley, D.E., Taylor, C.B., & Jacobson, N.C.<\/u><\/strong>(2022). Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial. International<\/em> Journal of Eating Disorders. <\/em>https:\/\/doi.org\/10.1002\/eat.23662<\/a><\/span><\/td>\n<\/tr>\n
55<\/span><\/td>\nChan, W.W., Fitzsimmons-Craft, E.E., Smith, A.C., Firebaugh, M., Fowler, L.A., DePietro, B.; Topooco, N., Taylor, C.B., & Jacobson, N.C.<\/u><\/strong> (2022). Challenges in Designing a Mental Health Prevention Chatbot: Lessons Learned from the Field. Journal of Medical Internet Research (JMIR)<\/em>. https:\/\/doi.org\/10.2196\/28003<\/a><\/span><\/td>\n<\/tr>\n
54<\/span><\/td>\n<\/a>Jacobson, N. C. <\/u><\/strong>& Bhattacharya, S.* (2021). Digital Biomarkers of Anxiety Disorder Symptom Changes Personalized Deep Learning Models Using Smartphone Sensors Accurately Predict Anxiety Symptoms from Ecological Momentary Assessments. <\/em>Behaviour Research and Therapy<\/em>. https:\/\/doi.org\/10.1016\/j.brat.2021.104013<\/a><\/span><\/td>\n<\/tr>\n
53<\/span><\/td>\nLekkas, D.*, Gyorda, J.A.*, Price, G.D.*,Wortzman, Z.*, & Jacobso<\/u>n, N.<\/u><\/strong>C<\/strong>.<\/u> (<\/u>2021). The Language of the Times: Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior across the United States. Journal of Medical Internet Research (JMIR)<\/em>. https:\/\/doi.org\/10.2196\/32731<\/a><\/span><\/td>\n<\/tr>\n
52<\/span><\/td>\nOllier, J., Neff, S., Dworschak, C., Sejdiji, A., Santhanam, P., Keller, R., Xiao, G., Asisof, A., R\u00fcegger, D., B\u00e9rub\u00e9, C., Hilfiker, L., Neff, J., Yao, J., Alattas, A., Varela-Mato, V., Pitkethly, A., Dolores Vara, M., Herrero, R., M\u00aa Ba\u00f1os, R., Parada, C., Sundaram Agatheswaran, R., Villalobos, V., Clare Keller, O., Sze Chan, W., Mishra, V., Jacobson, N.C.<\/strong><\/span>, Stanger, C., He, X., Von Wyl, V., Weidt, S., Haug, S., Patrick Schaub, M., Kleim, B., Barth, J., M. Witt, C., Scholz, U., Fleisch, E., von Wangenheim, F., Tudor Car, L., M\u00fcller-Riemenschneider, F., Hauser-Ulrich, S., N\u00fa\u00f1ez Asomoza, A., Salamanca-Sanabria, A., Louise Mair, J., & Kowatsch, T., (2021) Elena+ Care for COVID-19, A Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol. Frontiers in Public Health<\/em>. https:\/\/doi.org\/10.3389\/fpubh.2021.625640<\/a><\/span><\/td>\n<\/tr>\n
51<\/span><\/td>\nLekkas, D.*, Price, G.* & Jacobson, N.C.<\/u> <\/strong>(2021). Using Smartphone App Use and Lagged-Ensemble Machine Learning for the Prediction of Work Fatigue and Boredom. Computers in Human Behavior. <\/em>https:\/\/doi.org\/10.1016\/j.chb.2021.107029<\/a><\/span><\/td>\n<\/tr>\n
50<\/span><\/td>\nLekkas, D.*, Price, G.*, McFadden, J.* & Jacobson, N. C.<\/u><\/strong> (2021). The Application of Machine Learning to Online Mindfulness Intervention Data: A Primer and Empirical Example in Compliance Assessment. Mindfulness. <\/em>https:\/\/doi.org\/10.1007\/s12671-021-01723-4<\/a><\/span><\/td>\n<\/tr>\n
49<\/span><\/td>\nTeepe, G.W., Fonseca, A.D., Kleim, B., Jacobson, N.C.<\/strong><\/span>, Sanabria, A.S., Car, L.T, Fleisch, E., & Kowatsch, T. (2021). Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review. Journal of Medical Internet Research (JMIR)<\/em>. https:\/\/doi.org\/10.2196\/29412<\/a><\/span><\/td>\n<\/tr>\n
48<\/span><\/td>\nLekkas, D.*, Klein, R. J.*, & Jacobson, N.C.<\/u><\/strong> (2021). Predicting Acute Suicidal Ideation on Instagram Using Ensemble Machine Learning Models. Internet Interventions<\/em>. https:\/\/doi.org\/10.1016\/j.invent.2021.100424<\/a><\/span><\/td>\n<\/tr>\n
47<\/span><\/td>\nJacobson, N.C.,<\/u><\/strong> Evey, K.J., Wright, A.G.C, & Newman, M.G. (2021). Integration of Discrete and Global Structures of Affect Across Three Large Samples: Specific Emotions Within-Persons and Global Affect Between-Persons. Emotion<\/em>. https:\/\/doi.org\/10.1037\/emo0001022<\/a><\/span><\/td>\n<\/tr>\n
46<\/span><\/td>\nNewman, M. G., Kanuri, N., Rackoff, G., Jacobson, N.C.<\/span>,<\/strong> Jones, M., & Taylor, C. B. (2021). A Randomized Controlled Feasibility Trial of Internet-Delivered Guided Self-Help for Generalized Anxiety Disorder (GAD) Among University Students in India. Psychotherapy, 58, <\/em>591-601. https:\/\/doi.org\/10.1037\/pst0000383<\/a><\/span><\/td>\n<\/tr>\n
45<\/span><\/td>\nLekkas, D.* & Jacobson, N.C.<\/u><\/strong> (2021). Using Artificial Intelligence and Longitudinal Location Data to Differentiate Persons who Develop Posttraumatic Stress Disorder Following Childhood Trauma. Scientific Reports, 11. <\/em>https:\/\/doi.org\/10.1038\/s41598-021-89768-2<\/a><\/span><\/td>\n<\/tr>\n
44<\/span><\/td>\nMack, D., DaSilva, A., Rogers, C., Hedlund, E. L., Murphy, E. I., Vojdanovski, V., Plomp, J., Wang, W., Nepal, S., Holtzheimer, P.E., Wagner, D.D., Jacobson, N.C.<\/strong><\/span>, Meyer, M.L., Campbell, A.T., & Huckins, J. F. (2021). Mental Health and Behavior of College Students in the COVID-19 Pandemic: A Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study - Part II. Journal of Medical Internet Research (JMIR). <\/em>https:\/\/doi.org\/10.2196\/28892<\/a><\/span><\/td>\n<\/tr>\n
43<\/span><\/td>\nYom-Tov, E., Lekkas, D.*, & Jacobson, N. C.<\/u><\/strong>. (2021). Association of COVID19-induced Anosmia and Ageusia with Depression and Suicidal Ideation. Journal of Affective Disorders Reports<\/em>. https:\/\/doi.org\/10.1016\/j.jadr.2021.100156<\/a><\/span><\/td>\n<\/tr>\n
42<\/span><\/td>\nSofis, M.J., Lemley, S.M., Jacobson, N.C<\/strong>.<\/span>, & Budney, A.J. (2021). Initial Evaluation of Domain-Specific Episodic Future Thinking on Delay Discounting and Cannabis Use. Experimental and Clinical Psychopharmacology<\/em>. https:\/\/doi.org\/10.1037\/pha0000501<\/a><\/span><\/td>\n<\/tr>\n
41<\/span><\/td>\nShin, K., Newman, M.G., & Jacobson, N.C.<\/u><\/strong> (2021). Emotion Network Density as a Potential Clinical Marker: Comparison of Ecological Momentary Assessment and Daily Diary. British Journal of Clinical Psychology.<\/em> https:\/\/doi.org\/10.1111\/bjc.12295<\/a><\/span><\/td>\n<\/tr>\n
40<\/span><\/td>\nFitzsimmons-Craft, E.E., Taylor, C.B., Newman, M.G., Zainal, N.H., Rojas-Ashe, E., Lipson, S.K., Firebaugh, M., Ceglarek, P., Topooco, N., Jacobson, N.C.<\/strong><\/span>, Graham, A.K., Kim, H.M., Eisenberg, D., & Wilfley, D.E. (2021). Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol. Contemporary Clinical Trials<\/em>. https:\/\/doi.org\/10.1016\/j.cct.2021.106320<\/a><\/span><\/td>\n<\/tr>\n
39<\/span><\/td>\nBarr, P.J., Ryan, J, & Jacobson, N.C.<\/u><\/strong> (2021). Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings. Journal of Medical Internet Research (JMIR)<\/em>.https:\/\/doi.org\/10.2196\/20545<\/a><\/span><\/td>\n<\/tr>\n
38<\/span><\/td>\nJacobson, N.C<\/u><\/strong>.,<\/u> Lekkas, D.*, Huang, R.*, & Thomas, N.* (2021). Deep Learning Paired with Wearable Passive Sensing Data Predicts Deterioration in Anxiety Disorder Symptoms across 17-18 Years. Journal of Affective Disorders, 282, <\/em>104-111. https:\/\/doi.org\/10.1016\/j.jad.2020.12.086<\/a><\/span><\/td>\n<\/tr>\n
37<\/span><\/td>\nNemesure, M.D*, Heinz, M.V.*, Huang, R.* & Jacobson, N.C.<\/u><\/strong> (2021). Predictive Modeling of Psychiatric Illness using Electronic Medical Records and a Novel Machine Learning Approach with Artificial Intelligence. Scientific Reports. <\/em>https:\/\/doi.org\/10.1038\/s41598-021-81368-4<\/a><\/span><\/td>\n<\/tr>\n
36<\/span><\/td>\nJacobson, N.C<\/u><\/strong>.<\/strong> & Nemesure, M.D.* (2021). Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from A Transdiagnostic Randomized Controlled Trial. Psychiatry Research<\/em>. https:\/\/doi.org\/10.1016\/j.psychres.2020.113618<\/a><\/span><\/td>\n<\/tr>\n
35<\/span><\/td>\n<\/a>Meyer, N., Joyce, D. W., Karr, C., Dijk, D.J., Jacobson, N.C.<\/strong><\/span> & MacCabe, J. (2020). The Temporal Dynamics of Sleep Disturbance and Psychopathology in Psychosis: A Digital Sampling Study. Psychological Medicine. <\/em>https:\/\/doi.org\/10.1017\/S0033291720004857<\/em><\/a><\/span><\/td>\n<\/tr>\n
34<\/span><\/td>\nJacobson, N.C.<\/u><\/strong>,<\/u> Yom-Tov, E., Lekkas, D.*, Heinz, M.*, Liu, L.*, Barr, P.J. (2020). 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. Journal of Psychiatric Research<\/em>. https:\/\/doi.org\/10.1016\/j.jpsychires.2020.11.010<\/a><\/span><\/td>\n<\/tr>\n
33<\/span><\/td>\nDosovitsky, G., Pineda, B., Chang, C., Jacobson, N.C.<\/strong><\/span> & Bunge, E.L. (2020). Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage. JMIR Formative Research, 4, e17065<\/em>. https:\/\/doi.org\/10.2196\/17065<\/a><\/span><\/td>\n<\/tr>\n
32<\/span><\/td>\nNewman, M. G., Jacobson, N.C<\/strong>.<\/span>, Rackoff, G. N., Jones, M., & Taylor, C. B. (2020). A randomized controlled trial of a smartphone-based application for the treatment of anxiety. Psychotherapy Research. <\/em>https:\/\/doi.org\/10.1080\/10503307.2020.1790688<\/a><\/span><\/td>\n<\/tr>\n
31<\/span><\/td>\nSofis, M. J., Pike, C.K, Jacobson, N.C.<\/strong><\/span>, Liu, L.*, Budney, A.J., Borodovsky, J.T. (2020). Sifting Through the Weeds: Differential Relationships Between Cannabis Use Frequency Measures and Delay Discounting. Addictive Behaviors<\/em>. https:\/\/doi.org\/10.1016\/j.addbeh.2020.106573<\/a><\/span><\/td>\n<\/tr>\n
30<\/span><\/td>\nJacobson, N.C.<\/u><\/strong> & Chung, Y.J.* (2020). Passive Sensing of Prediction of Moment-to-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample using Smartphones. Sensors, 20, <\/em>3572. http:\/\/dx.doi.org\/10.3390\/s20123572<\/a><\/span><\/td>\n<\/tr>\n
29<\/span><\/td>\nNelson, B.W., Low, C., Jacobson, N.C.<\/strong><\/span>, Are\u00e1n, P., Torous, J., & Allen, N.B.(2020). Guidelines for Wrist-Worn Consumer Wearables Assessment of Heart Rate in Biobehavioral Research. npj Digital Medicine, 3<\/em>, 90. <\/em>https:\/\/doi.org\/10.1038\/s41746-020-0297-4<\/a><\/span><\/td>\n<\/tr>\n
28<\/span><\/td>\nJacobson, N.C.<\/u><\/strong>,<\/u> Lekkas, D.*, Price, G.P.*, Heinz, M.V.*, Song, M.*, O\u2019Malley, A.J. & Barr, P.J. (2020). 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,<\/em> 7<\/em>, e19347. http:\/\/dx.doi.org\/10.2196\/19347<\/a><\/span><\/td>\n<\/tr>\n
27<\/span><\/td>\nLord, K.A.*, Jacobson, N.C.<\/span>, <\/strong>Suvak, M., & Newman, M.G. (2020). Social Criticism Moderates the Relationship Between Anxiety and Depression 10 Years Later. Journal of Affective Disorders, 1<\/em>, 15-22. http:\/\/dx.doi.org\/10.1016\/j.jad.2020.05.030<\/a><\/span><\/td>\n<\/tr>\n
26<\/span><\/td>\nJacobson, N.C.<\/u><\/strong>,<\/u> Summers B., & Wilhelm, S. (2020). Digital Biomarkers of Social Anxiety Symptom Severity: Digital Phenotyping using Passive Smartphone Sensors. Journal of Medical Internet Research (JMIR), 22<\/em>, e16875.<\/em> http:\/\/dx.doi.org\/10.2196\/16875<\/a><\/span><\/td>\n<\/tr>\n
25<\/span><\/td>\nJacobson, N.C.<\/u><\/strong> Bentley, K.H., Walton, A., Wang, S.B., Fortgang, R.G., Millner, A.J. Coombs, G.C., Rodman, A.M., Coppersmith, D.D.L. (2020). Ethical Dilemmas Created by Mobile Health and Machine Learning within Research in Psychiatry. Bulletin of the World Health Organization, 98, <\/em>270-276. http:\/\/dx.doi.org\/10.2471\/BLT.19.237107<\/a><\/span><\/td>\n<\/tr>\n
24<\/span><\/td>\nWilhelm, S., Weingarden, H., Ladis, I. Braddick, V., Shin, J. & Jacobson, N.C.<\/u><\/strong>(2020). Cognitive Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy<\/em>, 1, 1-14. http:\/\/dx.doi.org\/10.1016\/j.beth.2019.08.001<\/a><\/span><\/td>\n<\/tr>\n
23<\/span><\/td>\n<\/a>Jacobson, N.C.<\/u><\/strong> & O'Cleirigh, C.M. (2019). Objective Digital Phenotypes of Worry Severity, Pain Severity, and Pain Chronicity in Persons Living with HIV. The<\/em> British Journal of Psychiatry.<\/em>http:\/\/dx.doi.org\/10.1192\/bjp.2019.168<\/a><\/span><\/td>\n<\/tr>\n
22<\/span><\/td>\nJacobson, N.C.,<\/u><\/strong> Weingarden, H., & Wilhelm, S. (2019). Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous and Mental Disease, 207<\/em>, 893-896. http:\/\/dx.doi.org\/10.1097\/NMD.0000000000001042<\/a><\/span><\/td>\n<\/tr>\n
21<\/span><\/td>\nJacobson, N.C.<\/u><\/strong>,<\/u> Weingarden, H., & Wilhelm, S. (2019). Digital Biomarkers of Mood Disorders and Symptom Change. Nature Partner Journal (npj): Digital Medicine, 2,<\/em> 1-2. http:\/\/dx.doi.org\/10.1038\/s41746-019-0078-0<\/a><\/span><\/td>\n<\/tr>\n
20<\/span><\/td>\nNewman, M G., Jacobson, N.C.<\/span>,<\/strong> Zainal, N.H., Shin, K.E., Szkodny, L.E., Sliwinski, M.J. (2019). The effects of worry in daily life: An ecological momentary assessment study supporting the tenets of the Contrast Avoidance Model. Clinical Psychological Science<\/em>, 7<\/em>, 794-810.<\/em>http:\/\/dx.doi.org\/10.1177\/2167702619827019<\/a><\/span><\/td>\n<\/tr>\n
19<\/span><\/td>\nJacobson, N.C.,<\/u><\/strong> Chow, S.M., & Newman, M.G. (2019). The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing optimal measurement and modeling intervals in intensive longitudinal data. Behavior Research Methods, 51, <\/em>295-315. <\/em>http:\/\/dx.doi.org\/10.3758\/s13428-018-1101-0<\/a><\/span><\/td>\n<\/tr>\n
18<\/span><\/td>\n<\/a>Jacobson, N.C.<\/u><\/strong> & Roche, M.J. (2018). Current evolutionary adaptiveness of anxiety: Extreme phenotypes of anxiety predict increased fertility across multiple generations. Journal of Psychiatric Research, 106, <\/em>82-90.<\/em>http:\/\/dx.doi.org\/10.1016\/j.jpsychires.2018.10.002<\/a><\/span><\/td>\n<\/tr>\n
17<\/span><\/td>\nRoche, M.J., Jacobson, N.C.<\/span>,<\/strong> & Phillips. J. (2018). Expanding the validity of the Level of Personality Functioning Scale Observer-Report and Self-Report versions across psychodynamic and interpersonal paradigms. Journal of Personality Assessment<\/em>, 100<\/em>, 571-580. http:\/\/dx.doi.org\/10.1080\/00223891.2018.1475394<\/a><\/span><\/td>\n<\/tr>\n
16<\/span><\/td>\nJi, L., Chow, S.M., Schermerhorn, A.C., Jacobson, N.C.<\/strong><\/span> & Cummings, M. (2018). Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling<\/em>, 25<\/em>, 715-736. http:\/\/dx.doi.org\/10.1080\/10705511.2017.1417046<\/a><\/span><\/td>\n<\/tr>\n
15<\/span><\/td>\nRoche, M.J. & Jacobson, N.C.<\/u><\/strong> (2018). Elections have consequences for student mental health: An accidental daily diary study. Psychological Reports. 122, <\/em>451\u2013464. http:\/\/dx.doi.org\/10.1177\/0033294118767365<\/a><\/span><\/td>\n<\/tr>\n
14<\/span><\/td>\nNewman, M.G., LaFreniere, L.S., & Jacobson, N.C.<\/u> <\/strong>(2018). Relaxation-induced anxiety: Effects of peak and trajectories of change on treatment outcome for generalized anxiety disorder. Psychotherapy Research, 68, <\/em>616-629. http:\/\/dx.doi.org\/10.1080\/10503307.2016.1253891<\/a><\/span><\/td>\n<\/tr>\n
13<\/span><\/td>\n<\/a>Jacobson, N.C.<\/u><\/strong> & Newman. M.G. (2017). Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies. Psychological Bulletin, 143, <\/em>1155-1200. <\/em>http:\/\/dx.doi.org\/10.1037\/bul0000111<\/a> (Winner of the<\/strong> College of the Liberal Arts Raymond Lombra Graduate Student Award for the Excellence in Research in the Social Sciences, Pennsylvania State University; Winner Best Research Paper Award in Psychology, Pennsylvania State University).<\/strong><\/span><\/td>\n<\/tr>\n
12<\/span><\/td>\nFrank, B., Jacobson, N.C.<\/span>, <\/strong>Hurley, L. & McKay, D (2017). <\/strong>A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders, 51, <\/em>39-46.http:\/\/dx.doi.org\/10.1016\/j.janxdis.2017.09.002<\/a><\/span><\/td>\n<\/tr>\n
11<\/span><\/td>\nJacobson, N.C.,<\/u><\/strong> Lord, K.A.*, & Newman, M.G. (2017). Perceived emotional social support in bereaved spouses mediates the relationship between anxiety and depression. Journal of Affective Disorders, 211, <\/em>83-91.http:\/\/dx.doi.org\/10.1016\/j.jad.2017.01.011<\/a><\/span><\/td>\n<\/tr>\n
10<\/span><\/td>\nRoche, M.J., Jacobson, N.C.<\/strong><\/span>, & Roche, C.A. (2017). Teaching strategies for personality assessment at the undergraduate level. Journal of Personality Assessment<\/em>, 99<\/em>, 117-125. http:\/\/dx.doi.org\/10.1080\/00223891.2016.1147450<\/a><\/span><\/td>\n<\/tr>\n
9<\/span><\/td>\n<\/a>Jacobson, N.C.<\/u><\/strong> (2016). Current evolutionary adaptiveness of psychiatric disorders: Fertility rates, parent\u2212child relationship quality, and psychiatric disorders across the lifespan. Journal of Abnormal Psychology<\/em>, 125<\/em>, 824-839. http:\/\/dx.doi.org\/10.1037\/abn0000185<\/a><\/span><\/td>\n<\/tr>\n
8<\/span><\/td>\nNewman, M.G., Jacobson, N.C.<\/span>,<\/strong> Erickson, T.M., & Fisher, A.J. (2016). Interpersonal problems predict differential response to cognitive versus behavioral treatment in a randomized controlled trial. Behavior Therapy, 48, <\/em>56-68. http:\/\/dx.doi.org\/10.1016\/j.beth.2016.05.005<\/a><\/span><\/td>\n<\/tr>\n
7<\/span><\/td>\nRoche, M.J., Jacobson, N.C.<\/span>,<\/strong> & Pincus, A.L. (2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM\u20135 alternative model of personality disorders. Journal of Abnormal Psychology<\/em>, 125<\/em>, 1090-1102. http:\/\/dx.doi.org\/10.1037\/abn0000177<\/a><\/span><\/td>\n<\/tr>\n
6<\/span><\/td>\nJacobson, N.C.,<\/u><\/strong> Newman, M.G., & Goldfried, M.R. (2016). Clinical feedback about empirically supported treatments for obsessive-compulsive disorder. Behavior Therapy<\/em>, 47<\/em>, 75-90. http:\/\/dx.doi.org\/10.1016\/j.beth.2015.09.003<\/a><\/span><\/td>\n<\/tr>\n
5<\/span><\/td>\nJacobson, N<\/u><\/strong>. C.<\/strong><\/u> & Newman, M.G. (2016). Perceptions of close and group relationships mediate the relationship between anxiety and depression over a decade later. Depression and Anxiety<\/em>, 33<\/em>, 66-74.<\/em>http:\/\/dx.doi.org\/10.1002\/da.22402<\/a><\/span><\/td>\n<\/tr>\n
4<\/span><\/td>\n<\/a>Newman, M.G., Castonguay, L.G., Jacobson, N.C.<\/strong><\/span> & Moore, G. (2015). Adult attachment as a moderator of treatment outcome for GAD: Comparison between CBT plus supportive listening and CBT plus interpersonal and emotional processing therapy. Journal of Consulting and Clinical Psychology<\/em>, 83<\/em>, 915-925. <\/em>http:\/\/dx.doi.org\/10.1037\/a0039359<\/a><\/span><\/td>\n<\/tr>\n
3<\/span><\/td>\n<\/a>Jacobson, N.C.,<\/u><\/strong> & Newman, M.G. (2014). Avoidance mediates the relationship between anxiety and depression over a decade later. Journal of Anxiety Disorders,<\/em> 28<\/em>, 437-445. http:\/\/dx.doi.org\/10.1016\/j.janxdis.2014.03.007<\/a><\/span><\/td>\n<\/tr>\n
2<\/span><\/td>\n<\/a>Jacobson, N.C.,<\/u><\/strong> Kramer, S.L., Tharp, A.G., Harmon, K.A., Cejas, G.P., & Costa, S.C. (2013). Deficits of encoding in hypnosis: A result of altered state of awareness. American Journal of Clinical Hypnosis<\/em>, 55<\/em>, 360-369. http:\/\/dx.doi.org\/10.1080\/00029157.2012.696286<\/a><\/span><\/td>\n<\/tr>\n
1<\/span><\/td>\n<\/a>Jacobson, N<\/u><\/strong>.C.<\/strong><\/u> Kramer, S., Tharp, A., Costa, S., & Hawley, P. (2011). The effects of encoding under hypnosis and post-hypnotic suggestion on academic performance. American Journal of Clinical Hypnosis, 53, <\/em>247-254. http:\/\/dx.doi.org\/10.1080\/00029157.2011.10404354<\/a>\u00a0 (Winner: Clark L. Hull Award for Scientific Excellence in Writing on Experimental Hypnosis from the American Journal of Clinical Hypnosis).<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

\u00a02025\u00a0\u2022\u00a02024 \u2022\u00a02023 \u2022\u00a02022 \u2022 2021 \u2022 2020 \u2022 2019 \u2022 2018 \u2022 2017 \u2022 2016 \u2022 2015 \u2022 2014 \u2022 2013 \u2022 2011     122 Tlachac, M.L., Heinz, M.V.,* Bryan, A.C.,* LaPreay, A., Dimas, G.L., Zhao, T., Jacobson, N.C., & Ogden, S.S. (2025, in press). Datasets of smartphone modalities [\u2026] <\/p>\n

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