Search Results - "Jacobson, Nicholas C."

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Pillai, Arvind, Spathis, Dimitris, Nepal, Subigya, Collins, Amanda C, Mackin, Daniel M, Heinz, Michael V, Griffin, Tess Z, Jacobson, Nicholas C, Campbell, Andrew

AI Foundation Models for Wearable Movement Data in Mental Health Research

Ruan, Franklin Y., Zhang, Aiwei, Oh, Jenny Y., Jin, SouYoung, Jacobson, Nicholas C.

Changes to Positive Self-Schemas After a Positive Imagery Training are Predicted by Participant Characteristics in a Sample with Elevated Depressive Symptoms

Collins, Amanda C.^{Aff1, Aff2, Aff7, IDs10608024105443_cor1}, Price, George D.^{Aff1, Aff3}, Dainer-Best, Justin, Haddox, Dawson, Beevers, Christopher G., Jacobson, Nicholas C.^{Aff1, Aff2, Aff3, Aff6}

Digital Therapeutics in Child Psychiatry: Harnessing Technology to Treat Pediatric Mental Health

Gansner, Meredith^Aff3, Jacobson, Nicholas C.^Aff4, Marsch, Lisa A.^Aff4, Kulman, Randy^Aff5

Christakis, Dimitri A., editor^Aff1, Hale, Lauren, editor^Aff2

MoodCapture: Depression Detection Using In-the-Wild Smartphone Images

Nepal, Subigya, Pillai, Arvind, Wang, Weichen, Griffin, Tess, Collins, Amanda C., Heinz, Michael, Lekkas, Damien, Mirjafari, Shayan, Nemesure, Matthew, Price, George, Jacobson, Nicholas C., Campbell, Andrew T.

A template and tutorial for preregistering studies using passive smartphone measures

Langener, Anna M.^{Aff1, Aff2, Aff22, IDs13428024024745_cor1}, Siepe, Björn S., Elsherif, Mahmoud, Niemeijer, Koen, Andresen, Pia K., Akre, Samir, Bringmann, Laura F.^{Aff2, Aff8}, Cohen, Zachary D., Choukas, Nathaniel R., Drexl, Konstantin, Fassi, Luisa, Green, James, Hoffmann, Tabea^{Aff13, Aff14}, Jagesar, Raj R., Kas, Martien J. H., Kurten, Sebastian^{Aff11, Aff15}, Schoedel, Ramona^{Aff16, Aff17}, Stulp, Gert, Turner, Georgia, Jacobson, Nicholas C.^{Aff18, Aff19, Aff20, Aff21}

Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment

Bryan, Anastasia C., Heinz, Michael V.^{Aff1, Aff2, IDs44174023001504_cor2}, Salzhauer, Abigail J., Price, George D.^{Aff1, Aff3}, Tlachac, M. L.^{Aff5, Aff6}, Jacobson, Nicholas C.^{Aff1, Aff2, Aff3, Aff4}

Evaluating a mobile app’s effects on depression and anxiety in medication-treated opioid use disorder

Heinz, Michael V.^{Aff1, Aff2, IDs44184024000867_cor1}, Lekkas, Damien^{Aff1, Aff3}, Abreu, Veronica, Lee, Camilla, Marsch, Lisa A.^{Aff1, Aff2, Aff4}, Jacobson, Nicholas C.^{Aff1, Aff2, Aff3, Aff4}

Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning

Lekkas, Damien^{Aff1, Aff2, IDs41598024702820_cor1}, Jacobson, Nicholas C.^{Aff1, Aff2, Aff3, Aff4}

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

Heinz, Michael V. ^{a, b, ⁎}, Price, George D. ^c, Singh, Avijit ^c, Bhattacharya, Sukanya ^c, Chen, Ching-Hua ^e, Asyyed, Asma ^g, Does, Monique B. ^f, Hassanpour, Saeed ^{a, d}, Hichborn, Emily ^a, Kotz, David ^{a, h}, Lambert-Harris, Chantal A. ^a, Li, Zhiguo ^e, McLeman, Bethany ^a, Mishra, Varun ^{i, j}, Stanger, Catherine ^a, Subramaniam, Geetha ^k, Wu, Weiyi ^{a, d}, Campbell, Cynthia I. ^{f, l, m}, Marsch, Lisa A. ^a, Jacobson, Nicholas C. ^{a, d}

Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents

Klein, Robert J.^{Aff1, Aff2, Aff3, Aff7, IDs10578024016826_cor1}, Lekkas, Damien^{Aff1, Aff4}, Nguyen, Nhi D., Jacobson, Nicholas C.^{Aff1, Aff5, Aff6}

Anhedonia in flux: Understanding the associations of emotion regulation and anxiety with anhedonia dynamics in a sample with major depressive disorder

Gallagher, Michael R. ^{a, b, ⁎}, Collins, Amanda C. ^{c, d}, Lekkas, Damien ^{c, e}, Nemesure, Matthew D. ^f, Griffin, Tess Z. ^c, Price, George D. ^{c, e}, Heinz, Michael V. ^{c, g}, Pillai, Arvind ^h, Nepal, Subigya ^h, Mackin, Daniel M. ^{c, d}, Campbell, Andrew T. ^{c, h}, Winer, E. Samuel ⁱ, Jacobson, Nicholas C. ^{c, d, g, h}

Mobile phone–based interventions for mental health show promise of effectiveness, but what does the evidence tell us about what needs to come next?

Jacobson, Nicholas C, Areán, Patricia, Schueller, Stephen M

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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

Kline, Emily A., Lekkas, Damien, Bryan, Anastasia, Nemesure, Matthew D., Griffin, Tess Z, Collins, Amanda C., Price, George D., Heinz, Michael V., Nepal, Subigya, Pillai, Arvind, Campbell, Andrew T., Jacobson, Nicholas C.

A large-scale observational comparison of antidepressants and their effects

Heinz, Michael V. ^{a, e, f, ⁎}, Yom-Tov, Elad ^{c, d}, Mackin, Daniel M. ^{a, e, f}, Matsumura, Rina ^a, Jacobson, Nicholas C. ^{a, b, e, f}

From mood to use: Using ecological momentary assessments to examine how anhedonia and depressed mood impact cannabis use in a depressed sample

Collins, Amanda C., Lekkas, Damien, Struble, Cara A., Trudeau, Brianna M., Jewett, Abi D., Griffin, Tess Z, Nemesure, Matthew D., Price, George D., Heinz, Michael V., Nepal, Subigya, Pillai, Arvind, Mackin, Daniel M., Campbell, Andrew T., Budney, Alan J., Jacobson, Nicholas C.

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Reliability (or lack thereof) of smartphone ecological momentary assessment of visual dot probe attention bias toward threat indices

Zainal, Nur Hani, Jacobson, Nicholas C.

Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sample

Price, George D., Heinz, Michael V., Collins, Amanda C., Jacobson, Nicholas C.