Published on in Vol 5, No 4 (2017): April

Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale

Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale

Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale

Journals

  1. Rao V, Sellers K, Wallace D, Lee M, Bijanzadeh M, Sani O, Yang Y, Shanechi M, Dawes H, Chang E. Direct Electrical Stimulation of Lateral Orbitofrontal Cortex Acutely Improves Mood in Individuals with Symptoms of Depression. Current Biology 2018;28(24):3893 View
  2. Van Vleet T, Stark-Inbar A, Merzenich M, Jordan J, Wallace D, Lee M, Dawes H, Chang E, Nahum M. Biases in processing of mood-congruent facial expressions in depression. Psychiatry Research 2019;275:143 View
  3. Schuster R, Kalthoff I, Walther A, Köhldorfer L, Partinger E, Berger T, Laireiter A. Effects, Adherence, and Therapists’ Perceptions of Web- and Mobile-Supported Group Therapy for Depression: Mixed-Methods Study. Journal of Medical Internet Research 2019;21(5):e11860 View
  4. Chung K, Jeon M, Park J, Lee S, Kim C, Park J, Guloksuz S. Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study. PLOS ONE 2018;13(6):e0199118 View
  5. Yang Y, Connolly A, Shanechi M. A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation. Journal of Neural Engineering 2018;15(6):066007 View
  6. Ventimiglia I, Van der Watt A, Kidd M, Seedat S. Association between trauma exposure and mood trajectories in patients with mood disorders. Journal of Affective Disorders 2020;262:237 View
  7. Tajirian T, Stergiopoulos V, Strudwick G, Sequeira L, Sanches M, Kemp J, Ramamoorthi K, Zhang T, Jankowicz D. The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey. Journal of Medical Internet Research 2020;22(7):e19274 View
  8. Sebold M, Spitta G, Gleich T, Dembler-Stamm T, Butler O, Zacharias K, Aydin S, Garbusow M, Rapp M, Schubert F, Buchert R, Gallinat J, Heinz A. Stressful life events are associated with striatal dopamine receptor availability in alcohol dependence. Journal of Neural Transmission 2019;126(9):1127 View
  9. Chernoff A, Balsom A, Gordon J. Psychological coping strategies associated with improved mental health in the context of infertility. Archives of Women's Mental Health 2021;24(1):73 View
  10. Chung K, Park J, Joung D, Jhung K. Response Time as an Implicit Self-Schema Indicator for Depression Among Undergraduate Students: Preliminary Findings From a Mobile App–Based Depression Assessment. JMIR mHealth and uHealth 2019;7(9):e14657 View
  11. Sani O, Yang Y, Lee M, Dawes H, Chang E, Shanechi M. Mood variations decoded from multi-site intracranial human brain activity. Nature Biotechnology 2018;36(10):954 View
  12. Kirkby L, Luongo F, Lee M, Nahum M, Van Vleet T, Rao V, Dawes H, Chang E, Sohal V. An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood. Cell 2018;175(6):1688 View
  13. Burchert S, Kerber A, Zimmermann J, Knaevelsrud C, Nater-Mewes R. Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening. PLOS ONE 2021;16(1):e0244955 View
  14. Afek A, Ben-Avraham R, Davidov A, Berezin Cohen N, Ben Yehuda A, Gilboa Y, Nahum M. Psychological Resilience, Mental Health, and Inhibitory Control Among Youth and Young Adults Under Stress. Frontiers in Psychiatry 2021;11 View
  15. Rabin J, Davidson B, Giacobbe P, Hamani C, Cohn M, Illes J, Lipsman N. Neuromodulation for major depressive disorder: innovative measures to capture efficacy and outcomes. The Lancet Psychiatry 2020;7(12):1075 View
  16. Soldevila-Domenech N, Forcano L, Boronat A, Lorenzo T, Piera I, Puig-Pijoan A, Mateus J, González de Echevarri Gómez J, Knezevic I, Soteras A, Fauria K, Pizarro N, Molinuevo J, de la Torre R. Effects of COVID-19 Home Confinement on Mental Health in Individuals with Increased Risk of Alzheimer’s Disease. Journal of Alzheimer's Disease 2021;79(3):1015 View
  17. Suddell S, Müller-Glodde M, Lumsden J, Looi C, Granger K, Barnett J, Robinson O, Munafò M, Penton-Voak I. Emotional bias training as a treatment for anxiety and depression: evidence from experimental medicine studies in healthy and medicated samples. Psychological Medicine 2023;53(3):696 View
  18. Sinvani R, Fogel-Grinvald H, Afek A, Ben-Avraham R, Davidov A, Cohen N, Ben Yehuda A, Nahum M, Gilboa Y. Ecological Momentary Mood, Resilience, and Mental Health Status as Predictors of Quality of Life Among Young Adults Under Stress: A Structural Equation Modeling Analysis. Frontiers in Psychiatry 2021;12 View
  19. Schueller S, Neary M, Lai J, Epstein D. Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study. JMIR Mental Health 2021;8(8):e29368 View
  20. Dabit S, Quraishi S, Jordan J, Biagianti B. Improving social functioning in people with schizophrenia-spectrum disorders via mobile experimental interventions: Results from the CLIMB pilot trial.. Schizophrenia Research: Cognition 2021;26:100211 View
  21. Pal Attia T, Crepeau D, Kremen V, Nasseri M, Guragain H, Steele S, Sladky V, Nejedly P, Mivalt F, Herron J, Stead M, Denison T, Worrell G, Brinkmann B. Epilepsy Personal Assistant Device—A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation. Frontiers in Neurology 2021;12 View
  22. Balzekas I, Sladky V, Nejedly P, Brinkmann B, Crepeau D, Mivalt F, Gregg N, Pal Attia T, Marks V, Wheeler L, Riccelli T, Staab J, Lundstrom B, Miller K, Van Gompel J, Kremen V, Croarkin P, Worrell G. Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies. Frontiers in Human Neuroscience 2021;15 View
  23. Goss A, Cataldo J, Collins S. Feasibility of Virtual Reality for Mental Health in Long-Term Care in Rural Populations. Journal of Aging and Long-Term Care 2022:1 View
  24. Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415 View
  25. Oetzmann C, White K, Ivan A, Julie J, Leightley D, Lavelle G, Lamers F, Siddi S, Annas P, Garcia S, Haro J, Mohr D, Penninx B, Simblett S, Wykes T, Narayan V, Hotopf M, Matcham F. Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. npj Digital Medicine 2022;5(1) View
  26. Goss A, Cataldo J, Collins S. Feasibility of Virtual Reality for Mental Health in Long-Term Care in Rural Populations. Journal of Aging and Long-Term Care 2022:1 View
  27. de Hemptinne C, Chen W, Racine C, Seritan A, Miller A, Yaroshinsky M, Wang S, Gilron R, Little S, Bledsoe I, San Luciano M, Katz M, Chang E, Dawes H, Ostrem J, Starr P. Prefrontal Physiomarkers of Anxiety and Depression in Parkinson’s Disease. Frontiers in Neuroscience 2021;15 View
  28. Smrke U, Mlakar I, Lin S, Musil B, Plohl N. Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review. JMIR Mental Health 2021;8(12):e30439 View
  29. Jafarlou S, Lai J, Azimi I, Mousavi Z, Labbaf S, Jain R, Dutt N, Borelli J, Rahmani A. Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study. JMIR Formative Research 2023;7:e39425 View
  30. Gaither R, Ranney M, Peachey A, Burock J, Rogers J, Bucci L, Beaudoin F. A feasibility study of low‐dose ketamine for acute management of suicidal ideation. Journal of the American College of Emergency Physicians Open 2022;3(4) View
  31. Ding Y, Liu J, Zhang X, Yang Z. Dynamic Tracking of State Anxiety via Multi-Modal Data and Machine Learning. Frontiers in Psychiatry 2022;13 View
  32. Ben-Dor Cohen M, Maeir A, Eldar E, Nahum M. Everyday Cognitive Control and Emotion Dysregulation in Young Adults With and Without ADHD: An Ecological Momentary Assessment Study. Journal of Attention Disorders 2023;27(5):539 View
  33. Baker K, Johnston P, Yamamoto N, Pegna A. Event-Related Potentials Index Prediction Error Signalling During Perceptual Processing of Emotional Facial Expressions. Brain Topography 2023;36(3):419 View
  34. Yitzhak N, Shimony O, Oved N, Bonne O, Nahum M. Less inhibited and more depressed? The puzzling association between mood, inhibitory control and depressive symptoms. Comprehensive Psychiatry 2023;124:152386 View
  35. Nissen M, Barrios Campo N, Flaucher M, Jaeger K, Titzmann A, Blunck D, Fasching P, Engelhardt V, Eskofier B, Leutheuser H. Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digital Medicine 2023;6(1) View
  36. Nahum M, Sinvani R, Afek A, Ben Avraham R, Jordan J, Ben Shachar M, Ben Yehuda A, Berezin Cohen N, Davidov A, Gilboa Y. Inhibitory control and mood in relation to psychological resilience: an ecological momentary assessment study. Scientific Reports 2023;13(1) View
  37. Lan Y, Helbich M. Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories. International Journal of Health Geographics 2023;22(1) View
  38. Cao D, Liu Q, Zhang J, Li J, Jiang T. State-specific modulation of mood using intracranial electrical stimulation of the orbitofrontal cortex. Brain Stimulation 2023;16(4):1112 View
  39. Ben-Dor Cohen M, Nahum M, Traub Bar-Ilan R, Eldar E, Maeir A. Coping with emotional dysregulation among young adults with ADHD: A mixed-method study of self-awareness and strategies in daily life. Neuropsychological Rehabilitation 2024;34(8):1161 View
  40. Laban G, Kappas A, Morrison V, Cross E. Building Long-Term Human–Robot Relationships: Examining Disclosure, Perception and Well-Being Across Time. International Journal of Social Robotics 2024;16(5):1 View
  41. Jackson A, Cohen J, Phensy A, Chang E, Dawes H, Sohal V. Amygdala-hippocampus somatostatin interneuron beta-synchrony underlies a cross-species biomarker of emotional state. Neuron 2024;112(7):1182 View
  42. Yang H, Yang L, Chen W, Zeng Y, Zhang Y, Tang Y, Zeng H, Yang D, Qu Y, Hu Y, Liu D, Song J, Fang F, Valdimarsdóttir U, Li Q, Song H. Association of pre-existing depression and anxiety with Omicron variant infection. Molecular Psychiatry 2024;29(11):3422 View
  43. Oganesian L, Shanechi M. Brain–computer interfaces for neuropsychiatric disorders. Nature Reviews Bioengineering 2024;2(8):653 View
  44. Reen J, Chan G, Orji R. iCare: Insights from the Evaluation of an App for Managing Stress Among Working-Class Indian Women. International Journal of Human–Computer Interaction 2024:1 View
  45. Odenigbo I, Alslaity A, Chan G, Orji R. AR Dancee: An Augmented Reality-Based Mobile Persuasive Intervention for Promoting Physical Activity Through Dancing. International Journal of Human–Computer Interaction 2024:1 View
  46. Mlakar I, Arioz U, Smrke U, Plohl N, Šafran V, Rojc M. An End-to-End framework for extracting observable cues of depression from diary recordings. Expert Systems with Applications 2024;257:125025 View
  47. Benrimoh D, Azeez A, Batail J, Xiao X, Buchanan D, Bandeira I, Geoly A, Keynan Y, Kratter I, Williams N. Early differences in lassitude predicts outcomes in Stanford Neuromodulation Therapy for difficult to treat depression. npj Mental Health Research 2024;3(1) View

Books/Policy Documents

  1. Mitra P. Psychotherapy in Later Life. View
  2. Worrell G, Brinkmann B, Lundstrom B, Stead M. Epilepsy. View
  3. Sani O, Yang Y, Shanechi M. Handbook of Neuroengineering. View
  4. Sani O, Yang Y, Shanechi M. Handbook of Neuroengineering. View