Publications

Filter by type:

(2026). Mood in the moment: A study protocol for embedding ecological momentary assessments into established longitudinal cohorts to examine depression in real time. BMJ Open.

Source Document

(2026). A foundation model for wearable movement data in mental health research. IEEE Journal of Biomedical and Health Informatics.

Source Document

(2026). The Therabot will see you now: Generative AI to scale precision evidence-based psychotherapy. Science.

Source Document

(2026). Exploratory continuous-time modeling (expct): Extracting dynamic features from irregularly spaced time series. Multivariate Behavioral Research.

Source Document

(2026). Feasibility and acceptability of a smartphone and wearable assessment protocol for adolescents with depression. Research on Child and Adolescent Psychopathology.

Source Document

(2026). LENS: LLM-enabled narrative synthesis for mental health by aligning multimodal sensing with language models. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).

Source Document

(2026). The dynamics of loneliness: Longitudinal associations of anhedonia and dampening in a clinical sample of depressed individuals. Journal of Affective Disorders.

Source Document

(2026). Dynamic bidirectional relationships between perceived stress and emotion regulation in emergency medical services clinicians engaging in regular substance use. npj Mental Health Research.

Source Document

(2026). The musculoskeletal tumor registry as a diagnosis-based registry: Rationale, development, and current status. Journal of the American Academy of Orthopaedic Surgeons.

(2026). A hierarchical Bayesian approach for predictive analytics of depression severity in medical students. Healthcare Analytics.

(2026). Who's at risk for emergent depression years later? Predictive modeling in a nine-year longitudinal cohort. BMC Psychiatry.

Source Document

(2026). Just in time or just a guess? Addressing challenges in validating prediction models based on longitudinal data. Advances in Methods and Practices in Psychological Science.

Source Document

(2026). Detecting eating disorders from social media content: What has been done and where do we go next?. International Journal of Eating Disorders.

Source Document

(2026). Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study. Addictive Behaviors.

Source Document

(2026). Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor data. Behaviour Research and Therapy.

Source Document

(2026). From innovation to implementation: Artificial intelligence in cognitive behaviour therapy training and supervision. Behaviour Research and Therapy.

Source Document

(2025). Associations between microaggressions, depression, anxiety, and alcohol use among Black young adults: Findings from a pilot study. Frontiers in Public Health.

Source Document

(2025). Evaluating the role of visit audio recordings in triadic dementia care: Study protocol. BMC Geriatrics.

Source Document

(2025). Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing. Proceedings of the Sixth Conference on Health, Inference, and Learning (CHIL 2025).

(2025). Fairness-Aware K-Means Clustering in Digital Mental Health for Higher Education Students: A Generalizable Framework for Equitable Clustering. JAMIA Open.

Source Document

(2025). A qualitative study investigating the role of humor in supporting recovery from addiction. Journal of Substance Use and Addiction Treatment.

Source Document

(2025). ChatGPT as therapy: A qualitative and network-based thematic profiling of shared experiences, attitudes, and beliefs on Reddit. Journal of Psychiatric Research.

Source Document

(2025). Passive sensing of behavioral markers of psychopathology: Introduction to the special issue. Journal of Psychopathology and Clinical Science.

Source Document

(2025). Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sample. BMC Psychiatry.

Source Document

(2025). Psychometric properties and validity of a mobile patient health questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adults. Psychological Assessment.

Source Document

(2025). From skepticism to support: Addressing clinician and patient concerns about AI in eating disorder care. International Journal of Eating Disorders.

Source Document

(2025). Response to letters about "Randomized trial of a generative AI chatbot for mental health treatment". New England Journal of Medicine – AI (NEJM AI).

Source Document

(2025). Co-designing a mobile application to reduce self-stigma for people with opioid use disorder during pregnancy and the postpartum period. Frontiers in Psychiatry.

Source Document

(2025). Datasets of smartphone modalities for depression assessment: A scoping review. IEEE Transactions on Affective Computing.

Source Document

(2025). Randomized trial of a generative AI chatbot for mental health treatment. New England Journal of Medicine – AI (NEJM AI).

Source Document

(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.

Source Document

(2025). 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.

Source Document

(2025). 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.

Source Document

(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.

Source Document

(2024). Eating Disorders Care and the Promises and Pitfalls of Artificial Intelligence. Missouri Medicine.

(2024). Beyond detection: Towards actionable sensing research in clinical mental healthcare. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

Source Document

(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.

Source Document

(2024). Changes to positive self-schemas after a positive imagery training are predicted by participant characteristics in a sample with elevated depressive symptoms. Cognitive Therapy and Research.

Source Document

(2024). Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorder. npj Mental Health Research.

Source Document

(2024). Breaking the Silence: Leveraging Social Interaction Data to Identify High-Risk Suicide Users Online Using Network Analysis and Machine Learning. Scientific Reports.

Source Document

(2024). A large-scale observational comparison of antidepressants and their effects. Journal of Psychiatric Research.

Source Document

(2024). From mood to use: Using ecological momentary assessments to examine how anhedonia and depressed mood impact cannabis use in a depressed sample. Psychiatry Research.

Source Document

(2024). The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults. Journal of Affective Disorders.

Source Document

(2024). Inclusion of individuals with lived experiences in the development of a digital intervention for co-occurring depression and cannabis use. JMIR Formative Research.

Source Document

(2024). Detecting longitudinal trends between passively-collected phone use and anxiety among college students. Digital Biomarkers.

Source Document

(2024). A template and tutorial for preregistering studies using passive smartphone measures. Behavior Research Methods.

Source Document

(2024). MoodCapture: Depression detection using in-the-wild smartphone images. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI 2024).

Source Document

(2024). 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.

Source Document

(2024). 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.

PDF Source Document

(2024). Contextual AI journaling: Integrating LLM and time series behavioral sensing technology to promote self-reflection and well-being using the MindScape app. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI 2024).

Source Document

(2024). Wearable Movement Data as a Potential Digital Biomarker for Chronic Pain: An Investigation Using Deep Learning. Physical Activity and Health Journal.

Source Document

(2024). The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens. Computers in Human Behavior.

Source Document

(2024). Comparing transdiagnostic risk factors: Predicting emergence of significant depressive, anxiety, and substance abuse symptoms among juvenile delinquents. Child Psychiatry & Human Development.

Source Document

(2024). It's all about timing: Exploring different temporal resolutions for analyzing digital phenotyping data. Advances in Methods and Practices in Psychological Science (AMPPS).

Source Document

(2024). Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward. Behav Res Ther.

PDF Source Document

(2023). Detecting Major Depressive Disorder Presence Using Passively-Collected Wearable Movement Data in a Nationally-Representative Sample. Psychiatry Research.

PDF Source Document

(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.

PDF

(2023). Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(4).

PDF Source Document

(2023). The Hidden Depths of Suicidal Discourse: Network Analysis and Natural Language Processing Unmask Uncensored Expression. Digital Health.

PDF Source Document

(2023). Using Machine Learning to Forecast Depressive Symptom Changes Among Subclinical Depressed Patients Receiving Stepped-Care Delivery or Usual Care. Journal of Affective Disorders.

PDF Source Document

(2023). Behind the Screen: A Narrative Review of Advancements in Mobile and Wearable Passive Sensing for Mental Health Assessment. Biomedical Materials and Devices.

PDF

(2023). Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach. Journal of Positive Psychology.

PDF Source Document

(2023). Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms. Behaviour Research and Therapy.

PDF Source Document

(2023). Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study. Substance Use and Misuse.

PDF Source Document

(2023). Development of a digital biomarker and intervention for subclinical depression: Study protocol for a longitudinal waitlist control study. BMC Psychology.

PDF Source Document

(2023). Patient Engagement in Multi-Modal Digital Phenotyping for Opioid Use Disorder. Journal of Medical Internet Research (JMIR).

PDF Source Document

(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, 293-299.

PDF Source Document

(2023). Testing Domain Knowledge and Risk of Bias of a Large Scale General A.I. Model in Mental Health. Digital Health.

PDF Source Document

(2023). Second-to-Second Affective Responses to Images Correspond With Affective Reactivity, Variability, and Instability in Daily Life. Experimental Psychology.

PDF Source Document

(2023). Reliability (or Lack Thereof) of Smartphone-Delivered Visual Dot Probe Attention Bias Indices. Journal of Behavior Therapy and Experimental Psychiatry.

PDF Source Document

(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).

Source Document

(2023). 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.

PDF Source Document

(2023). Applying Ensemble Machine Learning Models to Predict Individual Response to a Digitally Delivered Worry Postponement Intervention. Journal of Affective Disorders.

PDF Source Document

(2022). End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping With Cannabis Cravings: Formative Study. JMIR Formative Research.

PDF Source Document

(2022). Evaluating Change in Body Image Concerns Following a Single Session Digital Intervention. Body Image.

PDF Source Document

(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.

PDF Source Document

(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.

PDF Source Document

(2022). An Unsupervised Machine Learning Approach Using Passive Movement Data to Understand Depression and Schizophrenia. Vol 316, Pages 132-139.

PDF Source Document

(2022). A Psychological Flexibility Perspective on Well-Being: Emotional Reactivity, Adaptive Choices, and Daily Experiences. Emotion.

PDF Source Document

(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.

PDF Source Document

(2022). Digital Phenotyping of Generalized Anxiety Disorder: Using Artificial Intelligence to Accurately Predict Symptom Severity Using Wearable Sensors in Daily Life. Translational Psychiatry.

PDF Source Document

(2022). Predicting Symptom Response and Engagement in a Digital Intervention Among Individuals with Schizophrenia and Related Psychoses. Frontiers in Psychiatry.

PDF Source Document

(2022). Predictive Modeling of Suicidal Ideation in Patients with Epilepsy. Epilepsia.

PDF Source Document

(2022). Exploring the Digital Footprint of Depression: A PRISMA Systematic Literature Review of the Empirical Evidence. BMC Psychiatry.

(2022). Early Response to Cognitive Behavioral Therapy for Body Dysmorphic Disorder as a Predictor of Outcomes. Journal of Psychiatric Research.

(2022). Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment. Journal of Medical Internet Research (JMIR).

PDF Source Document

(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.

PDF Source Document

(2022). Low Emotion Differentiation as a Transdiagnostic Risk Factor: Idiographic and Nomothetic Measurements Predicting Anxiety, Depression, and Personality Pathology. Cognitive Therapy and Research.

PDF Source Document

(2022). Editorial: Leveraging Technology for Comprehensive Mental Health Assessment: Pairing Quantitative Models with Passively Collected Sensor Data. Frontiers in Psychology.

PDF Source Document

(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.

PDF Source Document

(2022). Adolescent emotion regulation and future psychopathology: A prospective transdiagnostic analysis. Journal of Research on Adolescence.

PDF Source Document

(2022). Standalone Apps for Anxiety and Depression Show Promising Early Efficacy: A Commentary on Meta-Analytic Results. Meta-Psychology.

PDF Source Document

(2022). Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial. International Journal of Eating Disorders.

PDF Source Document

(2022). Mechanisms of Cognitive Behavioral Therapy vs. Supportive Psychotherapy in Body Dysmorphic Disorder: An Exploratory Mediation Analysis. Behaviour Research and Therapy.

Source Document

(2022). Challenges in Designing a Mental Health Prevention Chatbot: Lessons Learned from the Field. Journal of Medical Internet Research.

PDF Source Document

(2021). Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments. Behaviour Research and Therapy.

PDF Source Document

(2021). Anxiety, depression, and substance experimentation in childhood. PLOS One.

PDF Source Document

(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).

(2021). Elena+ Care for COVID-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol. Frontiers in Public Health.

PDF Source Document

(2021). Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom. Computers in Human Behavior.

PDF Source Document

(2021). The Application of Machine Learning to Online Mindfulness Intervention Data: A Primer and Empirical Example in Compliance Assessment. Mindfulness.

PDF Source Document

(2021). Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review. Journal of Medical Internet Research (JMIR).

PDF Source Document

(2021). Integration of Discrete and Global Structures of Affect Across Three Large Samples: Specific Emotions Within-Persons and Global Affect Between-Persons. Emotion.

PDF

(2021). Predicting Acute Suicidal Ideation on Instagram Using Ensemble Machine Learning Models. Internet Interventions.

PDF Source Document

(2021). Using Artificial Intelligence and Longitudinal Location Data to Differentiate Persons who Develop Posttraumatic Stress Disorder Following Childhood Trauma. Scientific Reports.

PDF Source Document

(2021). A Randomized Controlled Feasibility Trial of Internet-Delivered Guided Self-Help for Generalized Anxiety Disorder (GAD) Among University Students in India. Psychotherapy.

PDF Source Document

(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).

PDF Source Document

(2021). Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation. Journal of Affective Disorders Reports.

PDF Source Document

(2021). Initial Evaluation of Domain-Specific Episodic Future Thinking on Delay Discounting and Cannabis Use. Experimental and Clinical Psychopharmacology.

PDF Source Document

(2021). Emotion network density is a potential clinical marker for anxiety and depression: Comparison of ecological momentary assessment and daily diary. British Journal of Clinical Psychology.

PDF Source Document

(2021). Deep Learning Paired with Wearable Passive Sensing Data Predicts Deterioration in Anxiety Disorder Symptoms across 17-18 Years. Journal of Affective Disorders.

PDF Source Document

(2020). Predictive Modeling of Psychiatric Illness using Electronic Medical Records and a Novel Machine Learning Approach with Artificial Intelligence. Scientific Reports.

PDF Source Document

(2020). Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol. Contemporary Clinical Trials.

PDF Source Document

(2020). Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from A Transdiagnostic Randomized Controlled Trial. Psychiatry Research.

PDF Source Document

(2020). Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings. Journal of Medical Internet Research (JMIR).

PDF Source Document

(2020). The Temporal Dynamics of Sleep Disturbance and Psychopathology in Psychosis: A Digital Sampling Study. Journal of Medical Internet Research (JMIR): Formative Research.

PDF Project

(2020). Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage. Journal of Medical Internet Research (JMIR): Formative Research.

PDF Project Source Document

(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.

PDF Project Source Document

(2020). Sifting Through the Weeds: Differential Relationships Between Cannabis Use Frequency Measures and Delay Discounting. Addictive Behaviors.

(2020). A randomized controlled trial of a smartphone-based application for the treatment of anxiety. Psychotherapy Research.

PDF Source Document

(2020). Passive Sensing of Prediction of Moment-to-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample using Smartphones. Sensors.

PDF Project Source Document

(2020). Guidelines for Wrist-Worn Consumer Wearables Assessment of Heart Rate in Biobehavioral Research. npj Digital Medicine.

PDF Project

(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.

PDF Project Source Document

(2020). Social Criticism Moderates the Relationship Between Anxiety and Depression 10 Years Later. Journal of Affective Disorders.

PDF Source Document

(2020). Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping using Passive Smartphone Sensors. Journal of Medicial Internet Research (JMIR).

PDF

(2020). Ethical dilemmas posed by mobile health and machine learning in psychiatry research. Bulletin of the World Health Organization.

PDF Source Document

(2019). Cognitive-Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy.

PDF Source Document

(2019). Objective Digital Phenotypes of Worry Severity, Pain Severity, and Pain Chronicity in Persons Living with HIV. The British Journal of Psychiatry.

PDF Project Source Document

(2019). Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous and Mental Disease.

PDF Source Document

(2019). Digital biomarkers of mood disorders and symptom change. Nature Partner Journal (npj) Digital Medicine.

PDF Code Dataset Project Source Document

(2018). The Effects of Worry in Daily Life: An Ecological Momentary Assessment Study Supporting the Tenets of the Contrast Avoidance Model. Clinical Psychological Science.

PDF Source Document

(2018). Current evolutionary adaptiveness of anxiety: Extreme phenotypes of anxiety predict increased fertility across multiple generations. Journal of Psychiatric Research.

PDF Source Document

(2018). The Differential Time-Varying Effect Model (DTVEM): A Tool for Diagnosing and Modeling Time Lags in Intensive Longitudinal Data. Behavior Research Methods.

PDF Project Source Document

(2018). Relaxation-induced anxiety: Effects of peak and trajectories of change on treatment outcome for generalized anxiety disorder. Psychotherapy Research.

PDF Project Source Document

(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.

PDF Source Document

(2018). Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling.

PDF Project Source Document

(2018). Elections have consequences for student mental health: An accidental daily diary study. Psychological Reports.

PDF Project Source Document

(2017). Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies. Psychological Bulletin.

PDF Source Document

(2017). A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders.

PDF Project Source Document

(2017). Perceived emotional social support in bereaved spouses mediates the relationship between anxiety and depression. Journal of Affective Disorders.

PDF Source Document

(2017). Teaching strategies for personality assessment at the undergraduate level. Journal of Personality Assessment.

PDF Source Document

(2016). Current evolutionary adaptiveness of psychiatric disorders: Fertility rates, parent−child relationship quality, and psychiatric disorders across the lifespan. Journal of Abnormal Psychology.

PDF Source Document

(2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM–5 alternative model of personality disorders. Journal of Abnormal Psychology.

PDF Project Source Document

(2016). Perceptions of close and group relationships mediate the relationship between anxiety and depression over a decade later. Depression and Anxiety.

PDF Source Document

(2016). Interpersonal problems predict differential response to cognitive versus behavioral treatment in a randomized controlled trial. Behavior Therapy.

PDF Source Document

(2016). Clinical feedback about empirically supported treatments for obsessive-compulsive disorder. Behavior Therapy.

PDF Source Document

(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.

PDF Source Document

(2014). Interpersonal and emotion-focused processing psychotherapy for generalized anxiety disorder. International Handbook of Anxiety Disorders: Theory, Research and Practice, Volume II.

PDF

(2014). Generalized anxiety disorder. Gabbard’s Treatments of Psychiatric Disorders, 5th Edition.

PDF

(2014). Avoidance mediates the relationship between anxiety and depression over a decade later. Journal of Anxiety Disorders.

PDF Source Document

(2013). Deficits of encoding in hypnosis: A result of altered state of awareness. American Journal of Clinical Hypnosis.

PDF Source Document

(2011). The effects of encoding under hypnosis and post-hypnotic suggestion on academic performance. American Journal of Clinical Hypnosis.

PDF Source Document