This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3343) Depression and Mood Disorders; Suicide Prevention (1384) Linguistics, Comprehension, and Learning (52)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28244, first published .
Behavioral Activation and Depression Symptomatology: Longitudinal Assessment of Linguistic Indicators in Text-Based Therapy Sessions

Behavioral Activation and Depression Symptomatology: Longitudinal Assessment of Linguistic Indicators in Text-Based Therapy Sessions

Behavioral Activation and Depression Symptomatology: Longitudinal Assessment of Linguistic Indicators in Text-Based Therapy Sessions

Authors of this article:

Hannah A Burkhardt1 Author Orcid Image ;   George S Alexopoulos2 Author Orcid Image ;   Michael D Pullmann3 Author Orcid Image ;   Thomas D Hull4 Author Orcid Image ;   Patricia A Areán3 Author Orcid Image ;   Trevor Cohen1 Author Orcid Image
Article Authors Cited by (21) Tweetations (5) Metrics

Journals

  1. Crema C, Attardi G, Sartiano D, Redolfi A. Natural language processing in clinical neuroscience and psychiatry: A review. Frontiers in Psychiatry 2022;13 View
  2. Miner A, Fleming S, Haque A, Fries J, Althoff T, Wilfley D, Agras W, Milstein A, Hancock J, Asch S, Stirman S, Arnow B, Shah N. A computational approach to measure the linguistic characteristics of psychotherapy timing, responsiveness, and consistency. npj Mental Health Research 2022;1(1) View
  3. Akcaoglu M, Ozcan M, Dogan S. What Keeps Teachers Engaged during Professional Development? The Role of Interest Development. Education Sciences 2023;13(2):188 View
  4. Leo A, Schuelke M, Hunt D, Metzler J, Miller J, Areán P, Armbrecht M, Cheng A. A Digital Mental Health Intervention in an Orthopedic Setting for Patients With Symptoms of Depression and/or Anxiety: Feasibility Prospective Cohort Study. JMIR Formative Research 2022;6(2):e34889 View
  5. Yang C, Zhang X, Chen Y, Li Y, Yu S, Zhao B, Wang T, Luo L, Gao S. Emotion-dependent language featuring depression. Journal of Behavior Therapy and Experimental Psychiatry 2023;81:101883 View
  6. Corbin L, Griner E, Seyedi S, Jiang Z, Roberts K, Boazak M, Bahrami Rad A, Clifford G, Cotes R. A comparison of linguistic patterns between individuals with current major depressive disorder, past major depressive disorder, and controls in a virtual, psychiatric research interview. Journal of Affective Disorders Reports 2023;14:100645 View
  7. Seyedi S, Griner E, Corbin L, Jiang Z, Roberts K, Iacobelli L, Milloy A, Boazak M, Bahrami Rad A, Abbasi A, Cotes R, Clifford G. Using HIPAA (Health Insurance Portability and Accountability Act)–Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study. JMIR Mental Health 2023;10:e48517 View
  8. Malgaroli M, Hull T, Zech J, Althoff T. Natural language processing for mental health interventions: a systematic review and research framework. Translational Psychiatry 2023;13(1) View
  9. Nook E. The Promise of Affective Language for Identifying and Intervening on Psychopathology. Affective Science 2023;4(3):517 View
  10. Zolnoori M, Zolnour A, Topaz M. ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia. Artificial Intelligence in Medicine 2023;143:102624 View
  11. Alexopoulos G. Artificial Intelligence in Geriatric Psychiatry Through the Lens of Contemporary Philosophy. The American Journal of Geriatric Psychiatry 2024;32(3):293 View
  12. Aizenstein H, Moore R, Vahia I, Ciarleglio A. Deep Learning and Geriatric Mental Health. The American Journal of Geriatric Psychiatry 2024;32(3):270 View
  13. Schmidt V, Treml J, Linde K, Peterhänsel C, Kersting A. Association between patients’ word use and symptom reduction in an internet-based cognitive behavioral intervention for prolonged grief symptoms: A secondary analysis of a randomized controlled trial. Current Psychology 2024;43(18):16489 View
  14. Malgaroli M, Hull T, Calderon A, Simon N. Linguistic markers of anxiety and depression in Somatic Symptom and Related Disorders: Observational study of a digital intervention. Journal of Affective Disorders 2024;352:133 View
  15. Trifu R, Nemeș B, Herta D, Bodea-Hategan C, Talaș D, Coman H. Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure. Frontiers in Psychology 2024;15 View
  16. Alexopoulos G. Artificial Intelligence and the Sense of Self of Older Adults: A Philosophy of Science Perspective. The American Journal of Geriatric Psychiatry 2024;32(6):657 View
  17. Laricheva M, Liu Y, Shi E, Wu A. Scoping review on natural language processing applications in counselling and psychotherapy. British Journal of Psychology 2024 View
  18. Allen K, Rodriguez S, Hayani L, Rothenberger S, Moses-Kolko E, Simhan H, Krishnamurti T. Digital phenotyping of depression during pregnancy using self-report data. Journal of Affective Disorders 2024;364:231 View
  19. Peipert A, Rutter L, Howard J, Lorenzo-Luaces L. Self-Guided Behavioral Activation Using an Online Single-Session Intervention: Content and Lexical Analyses of Activity Scheduling. Behavior Therapy 2024 View
  20. Alemán Acuña R, Pereira Montiel E, Torres Silva E, Montoya Arenas D. Procesamiento de lenguaje natural en la Salud Mental: Revisión de alcance. Revista Iberoamericana de Psicología 2024;17(2):11 View

Books/Policy Documents

  1. Xie W, Luan L, Zhu Y, Bart Y, Ostadabbas S. Pattern Recognition. View