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

Methods and New Tools in Mental Health Research (454) Visualization in eHealth (58) Anxiety and Stress Disorders (1053) Depression and Mood Disorders; Suicide Prevention (1363) Eating Disorders (78) Substance Abuse (419)

Published on in Vol 7, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16919, first published .
Web-Based Graphic Representation of the Life Course of Mental Health: Cross-Sectional Study Across the Spectrum of Mood, Anxiety, Eating, and Substance Use Disorders

Web-Based Graphic Representation of the Life Course of Mental Health: Cross-Sectional Study Across the Spectrum of Mood, Anxiety, Eating, and Substance Use Disorders

Web-Based Graphic Representation of the Life Course of Mental Health: Cross-Sectional Study Across the Spectrum of Mood, Anxiety, Eating, and Substance Use Disorders

Authors of this article:

Robin Leora Aupperle1, 2 Author Orcid Image ;   Martin P Paulus1, 2 Author Orcid Image ;   Rayus Kuplicki1 Author Orcid Image ;   James Touthang1 Author Orcid Image ;   Teresa Victor1 Author Orcid Image ;   Hung-Wen Yeh3 Author Orcid Image ;   Tulsa 1000 Investigators Tulsa 1000 Investigators1 ;   Sahib S Khalsa1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (10) Metrics

Journals

  1. DeVille D, Kuplicki R, Stewart J, Aupperle R, Bodurka J, Cha Y, Feinstein J, Savitz J, Victor T, Paulus M, Khalsa S. Diminished responses to bodily threat and blunted interoception in suicide attempters. eLife 2020;9 View
  2. Lapidus R, Puhl M, Kuplicki R, Stewart J, Paulus M, Rhudy J, Feinstein J, Khalsa S, Vickers K. Heightened affective response to perturbation of respiratory but not pain signals in eating, mood, and anxiety disorders. PLOS ONE 2020;15(7):e0235346 View
  3. Smith R, Kuplicki R, Feinstein J, Forthman K, Stewart J, Paulus M, Khalsa S, Gershman S. A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders. PLOS Computational Biology 2020;16(12):e1008484 View
  4. White E, Kuplicki R, Stewart J, Kirlic N, Yeh H, Paulus M, Aupperle R. Latent variables for region of interest activation during the monetary incentive delay task. NeuroImage 2021;230:117796 View
  5. May A, Burrows K, Figueroa-Hall L, Kirlic N, White E, Smith R, Ekhtiari H, Paulus M, Savitz J, Stewart J. Sex differences in circulating inflammatory mediators as a function of substance use disorder. Drug and Alcohol Dependence 2021;221:108610 View
  6. Smith R, Kirlic N, Stewart J, Touthang J, Kuplicki R, McDermott T, Taylor S, Khalsa S, Paulus M, Aupperle R. Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample. Scientific Reports 2021;11(1) View
  7. Maine P, Mostert S. Young adults’ experiences of social media usage for health-related information. African Journal for Physical Activity and Health Sciences (AJPHES) 2023;29(1):1 View
  8. Choquette E, Forthman K, Kirlic N, Stewart J, Cannon M, Akeman E, McMillan N, Mesker M, Tarrasch M, Kuplicki R, Paulus M, Aupperle R. Impulsivity, trauma history, and interoceptive awareness contribute to completion of a criminal diversion substance use treatment program for women. Frontiers in Psychology 2024;15 View