Technology and Mental Health: State of the Art for Assessment and Treatment.

Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.

[1]  Philip D. Harvey,et al.  Validity of remote administration of the MATRICS Consensus Cognitive Battery for individuals with severe mental illness , 2021, Schizophrenia Research: Cognition.

[2]  Arno Hartholt,et al.  From Combat to COVID-19 – Managing the Impact of Trauma Using Virtual Reality , 2021 .

[3]  Philip D. Harvey,et al.  Self-reported social functioning and social cognition in schizophrenia and bipolar disorder: Using ecological momentary assessment to identify the origin of bias , 2021, Schizophrenia Research.

[4]  Philip D. Harvey,et al.  Real world sedentary behavior and activity levels in patients with schizophrenia and controls: An ecological momentary assessment study. , 2021, Mental health and physical activity.

[5]  Philip D. Harvey,et al.  Ecological momentary assessment as a measurement tool in depression trials. , 2021, Journal of psychiatric research.

[6]  H. Baumeister,et al.  Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data , 2021, Frontiers in Psychiatry.

[7]  M. Keshavan,et al.  Anomaly detection to predict relapse risk in schizophrenia , 2021, Translational Psychiatry.

[8]  T. Zhu,et al.  Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study , 2020, JMIR mHealth and uHealth.

[9]  Philip D. Harvey,et al.  Remote Ecological Momentary Testing of Learning and Memory in Adults With Serious Mental Illness. , 2020, Schizophrenia bulletin.

[10]  Andreas B. Neubauer,et al.  Digital phenotyping: towards replicable findings with comprehensive assessments and integrative models in bipolar disorders , 2020, International Journal of Bipolar Disorders.

[11]  H. Bender,et al.  Transforming pediatric neuropsychology through video-based teleneuropsychology: an innovative private practice model pre-COVID-19 , 2020, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[12]  J. Onnela,et al.  Smartphone sensing of social interactions in people with and without schizophrenia. , 2020, Journal of psychiatric research.

[13]  Hilary F Luderer,et al.  Real-world evidence for a prescription digital therapeutic to treat opioid use disorder , 2020, Current medical research and opinion.

[14]  W. Bickel,et al.  Safety and efficacy of a prescription digital therapeutic as an adjunct to buprenorphine for treatment of opioid use disorder , 2020, Current medical research and opinion.

[15]  Philip D. Harvey,et al.  Evaluation of a Novel Technology-Based Program Designed to Assess and Train Everyday Skills in Older Adults , 2020, Innovation in aging.

[16]  C. Dockweiler,et al.  Effectiveness of Smartphone-Based Cognitive Behavioral Therapy Among Patients With Major Depression: Systematic Review of Health Implications , 2020, JMIR mHealth and uHealth.

[17]  Albert A. Rizzo,et al.  Virtual Standardized Patients vs Academic Training for Learning Motivational Interviewing Skills in the US Department of Veterans Affairs and the US Military , 2020, JAMA network open.

[18]  Philip D. Harvey,et al.  Emotional determinants of life-space through GPS and ecological momentary assessment in schizophrenia: What gets people out of the house? , 2020, Schizophrenia Research.

[19]  N. Swerdlow,et al.  Memantine effects on auditory discrimination and training in schizophrenia patients , 2020, Neuropsychopharmacology.

[20]  D. Umbricht,et al.  Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative Symptoms , 2020, Frontiers in Psychiatry.

[21]  Philip D. Harvey,et al.  The Computerized Functional Skills Assessment and Training Program: Sensitivity to Global Cognitive Impairment, Correlations With Cognitive Abilities, and Factor Structure. , 2020, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[22]  A. Cohen,et al.  Geolocation as a Digital Phenotyping Measure of Negative Symptoms and Functional Outcome. , 2020, Schizophrenia bulletin.

[23]  Jonathan Rose,et al.  The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study , 2020, JMIR formative research.

[24]  S. Potvin,et al.  Evidence on Virtual Reality–Based Therapies for Psychiatric Disorders: Meta-Review of Meta-Analyses , 2020, Journal of medical Internet research.

[25]  Karen L. Fortuna,et al.  Actionable health app evaluation: translating expert frameworks into objective metrics , 2020, npj Digital Medicine.

[26]  Michael F. Green,et al.  Online Social Cognition Training in Schizophrenia: A Double-Blind, Randomized, Controlled Multi-Site Clinical Trial. , 2020, Schizophrenia bulletin.

[27]  G. Alexopoulos,et al.  Targeting Cognitive Control Deficits With Neuroplasticity-Based Computerized Cognitive Remediation in Patients With Geriatric Major Depression: A Randomized, Double-Blind, Controlled Trial. , 2020, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[28]  A. Cohen,et al.  Digital phenotyping of negative symptoms: the relationship to clinician ratings. , 2020, Schizophrenia bulletin.

[29]  Sarah M. Scholl,et al.  Ecological momentary assessment of temptations and lapses in non-daily smokers , 2020, Psychopharmacology.

[30]  Maria V. Sanchez-Vives,et al.  Being the Victim of Intimate Partner Violence in Virtual Reality: First- Versus Third-Person Perspective , 2020, Frontiers in Psychology.

[31]  Vincent W. S. Tseng,et al.  Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks , 2020, JMIR mHealth and uHealth.

[32]  Gavin Doherty,et al.  The Design of Ecological Momentary Assessment Technologies , 2020, Interacting with Computers.

[33]  Ariel V. Dowling,et al.  Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs) , 2020, npj Digital Medicine.

[34]  I. Blanquer,et al.  ReMindCare, an app for daily clinical practice in patients with first episode psychosis: A pragmatic real‐world study protocol , 2020, Early intervention in psychiatry.

[35]  J. Miller,et al.  Augmenting Computerized Cognitive Training With Vortioxetine for Age-Related Cognitive Decline: A Randomized Controlled Trial. , 2020, The American journal of psychiatry.

[36]  N. Jacobson,et al.  Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors , 2020, Journal of medical Internet research.

[37]  Philip D. Harvey,et al.  Evaluation of the Efficacy of BI 425809 Pharmacotherapy in Patients with Schizophrenia Receiving Computerized Cognitive Training: Methodology for a Double-blind, Randomized, Parallel-group Trial , 2020, Clinical Drug Investigation.

[38]  Philip D. Harvey,et al.  GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study , 2019, npj Digital Medicine.

[39]  M. Fuller-Tyszkiewicz,et al.  Attrition and adherence in smartphone-delivered interventions for mental health problems: A systematic and meta-analytic review. , 2019, Journal of consulting and clinical psychology.

[40]  M. Bellani,et al.  The effects of cognitive remediation on cognitive abilities and real-world functioning among people with bipolar disorder: A systematic review. , 2019, Journal of affective disorders.

[41]  Per Carlbring,et al.  The efficacy of app‐supported smartphone interventions for mental health problems: a meta‐analysis of randomized controlled trials , 2019, World psychiatry : official journal of the World Psychiatric Association.

[42]  F. Matcham,et al.  Patient perspectives on the acceptability of mHealth technology for remote measurement and management of epilepsy: A qualitative analysis , 2019, Epilepsy & Behavior.

[43]  Mel Slater,et al.  An experimental study of a virtual reality counselling paradigm using embodied self-dialogue , 2019, Scientific Reports.

[44]  Patricia A. Areán,et al.  By the numbers: ratings and utilization of behavioral health mobile applications , 2019, npj Digital Medicine.

[45]  M. Mimura,et al.  Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis. , 2019, Journal of affective disorders.

[46]  K. Nuechterlein,et al.  Evaluation of a plasticity-based cognitive training program in schizophrenia: Results from the eCaesar trial , 2019, Schizophrenia Research.

[47]  Philip D. Harvey,et al.  Training engagement, baseline cognitive functioning, and cognitive gains with computerized cognitive training: A cross-diagnostic study , 2019, Schizophrenia Research: Cognition.

[48]  Jennifer C. Goldsack,et al.  Digital Medicine: A Primer on Measurement , 2019, Digital Biomarkers.

[49]  P. Vineis,et al.  ExpoApp: An integrated system to assess multiple personal environmental exposures. , 2019, Environment international.

[50]  John Torous,et al.  Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach , 2019, Journal of Technology in Behavioral Science.

[51]  Simon Harper,et al.  Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review , 2019, J. Am. Medical Informatics Assoc..

[52]  Emily Huang,et al.  Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data , 2019, Sensors.

[53]  Cuntai Guan,et al.  Actigraphy studies and clinical and biobehavioural correlates in schizophrenia: a systematic review , 2019, Journal of neural transmission.

[54]  Gregory P. Strauss,et al.  A Comprehensive Review of Psychophysiological Applications for Ecological Momentary Assessment in Psychiatric Populations , 2019, Psychological assessment.

[55]  J. Sneed,et al.  Computerized cognitive training in young adults with depressive symptoms: Effects on mood, cognition, and everyday functioning. , 2019, Journal of affective disorders.

[56]  John S Brownstein,et al.  Using Twitter to Detect Psychological Characteristics of Self-Identified Persons With Autism Spectrum Disorder: A Feasibility Study , 2019, JMIR mHealth and uHealth.

[57]  J. Galanko,et al.  Initial Assessment of a Comprehensive Digital Smoking Cessation Program That Incorporates a Mobile App, Breath Sensor, and Coaching: Cohort Study , 2019, JMIR mHealth and uHealth.

[58]  Philip D. Harvey,et al.  Guanfacine Augmentation of a Combined Intervention of Computerized Cognitive Remediation Therapy and Social Skills Training for Schizotypal Personality Disorder. , 2019, The American journal of psychiatry.

[59]  D. Gerstorf,et al.  The Role of General and Daily Control Beliefs for Affective Stressor-Reactivity Across Adulthood and Old Age , 2019, The journals of gerontology. Series B, Psychological sciences and social sciences.

[60]  Shubhankar Sarda,et al.  Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study , 2019, JMIR mHealth and uHealth.

[61]  N. Swerdlow,et al.  Targeted cognitive training improves auditory and verbal outcomes among treatment refractory schizophrenia patients mandated to residential care , 2018, Schizophrenia Research.

[62]  J. Lindenmayer,et al.  Does social cognition training augment response to computer-assisted cognitive remediation for schizophrenia? , 2018, Schizophrenia Research.

[63]  T. Insel,et al.  Digital phenotyping: a global tool for psychiatry , 2018, World psychiatry : official journal of the World Psychiatric Association.

[64]  C. Andrade,et al.  Therapeutic effects of mobile-based text message reminders for medication adherence in bipolar I disorder: Are they maintained after intervention cessation? , 2018, Journal of psychiatric research.

[65]  P. Dagum Digital biomarkers of cognitive function , 2018, npj Digital Medicine.

[66]  Tandra T. Allen,et al.  Neural mechanisms of behavioral change in young adults with high‐functioning autism receiving virtual reality social cognition training: A pilot study , 2018, Autism research : official journal of the International Society for Autism Research.

[67]  Albert A. Rizzo,et al.  Using Virtual Interactive Training Agents (ViTA) with Adults with Autism and Other Developmental Disabilities , 2018, Journal of autism and developmental disorders.

[68]  J. Torous,et al.  A Hierarchical Framework for Evaluation and Informed Decision Making Regarding Smartphone Apps for Clinical Care. , 2018, Psychiatric services.

[69]  J. Torous,et al.  Bridging the dichotomy of actual versus aspirational digital health , 2018, World psychiatry : official journal of the World Psychiatric Association.

[70]  Jacques P Arrieux,et al.  A Comparison of Four Computerized Neurocognitive Assessment Tools to a Traditional Neuropsychological Test Battery in Service Members with and without Mild Traumatic Brain Injury , 2018, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[71]  Ambuj Tewari,et al.  Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support , 2017, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[72]  Mary C. Whitton,et al.  A Survey of Presence and Related Concepts , 2017, ACM Comput. Surv..

[73]  Albert A. Rizzo,et al.  Is clinical virtual reality ready for primetime? , 2017, Neuropsychology.

[74]  Patrick C. Staples,et al.  A comparison of passive and active estimates of sleep in a cohort with schizophrenia , 2017, npj Schizophrenia.

[75]  John Torous,et al.  The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials , 2017, World psychiatry : official journal of the World Psychiatric Association.

[76]  J. Onnela,et al.  High Potential But Limited Evidence: Using Voice Data From Smartphones to Monitor and Diagnose Mood Disorders , 2017, Psychiatric rehabilitation journal.

[77]  D. Jeste,et al.  Compensatory cognitive training for people with severe mental illnesses in supported employment: A randomized controlled trial , 2017, Schizophrenia Research.

[78]  John Torous,et al.  Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials. , 2017, Journal of affective disorders.

[79]  Matthew K Nock,et al.  Examination of Real-Time Fluctuations in Suicidal Ideation and Its Risk Factors: Results From Two Ecological Momentary Assessment Studies , 2017, Journal of abnormal psychology.

[80]  Stéphane Bouchard,et al.  Virtual reality compared with in vivo exposure in the treatment of social anxiety disorder: A three-arm randomised controlled trial , 2017, British Journal of Psychiatry.

[81]  Philip D. Harvey,et al.  Validation of the tablet-administered Brief Assessment of Cognition (BAC App) , 2017, Schizophrenia Research.

[82]  N. Swerdlow,et al.  124. Experimental Medicine Approaches to Leveraging Auditory Information Processing Neuroplasticity Toward Therapeutic Development in Schizophrenia , 2017 .

[83]  W. Cole,et al.  A review of the validity of computerized neurocognitive assessment tools in mild traumatic brain injury assessment , 2017, Concussion.

[84]  Konrad Paul Kording,et al.  Distributed under Creative Commons Cc-by 4.0 the Relationship between Mobile Phone Location Sensor Data and Depressive Symptom Severity , 2022 .

[85]  S. Vinogradov,et al.  Engagement with the auditory processing system during targeted auditory cognitive training mediates changes in cognitive outcomes in individuals with schizophrenia. , 2016, Neuropsychology.

[86]  Philip D. Harvey,et al.  Validation of a Computerized test of Functional Capacity , 2016, Schizophrenia Research.

[87]  D. Ben-Zeev,et al.  mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge , 2016, JMIR mental health.

[88]  J. Bardram,et al.  Voice analysis as an objective state marker in bipolar disorder , 2016, Translational psychiatry.

[89]  Jukka-Pekka Onnela,et al.  Inferring mobility measures from GPS traces with missing data. , 2016, Biostatistics.

[90]  T. Kaemmerer,et al.  Oral adaptation of the Trail Making Test: A practical review , 2016, Applied neuropsychology. Adult.

[91]  G. Dunn,et al.  Virtual reality in the treatment of persecutory delusions: randomised controlled experimental study testing how to reduce delusional conviction , 2016, British Journal of Psychiatry.

[92]  Lori Wozney,et al.  A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression , 2016, PloS one.

[93]  N. Swerdlow,et al.  Effects of acute memantine administration on MATRICS Consensus Cognitive Battery performance in psychosis: Testing an experimental medicine strategy , 2016, Psychopharmacology.

[94]  W. Ling,et al.  Long-term outcomes after randomization to buprenorphine/naloxone versus methadone in a multi-site trial. , 2016, Addiction.

[95]  C. Depp,et al.  Social behavior, interaction appraisals, and suicidal ideation in schizophrenia: The dangers of being alone , 2016, Schizophrenia Research.

[96]  Danielle A Schlosser,et al.  Intensive Auditory Cognitive Training Improves Verbal Memory in Adolescents and Young Adults at Clinical High Risk for Psychosis. , 2016, Schizophrenia bulletin.

[97]  Pasco Fearon,et al.  Embodying self-compassion within virtual reality and its effects on patients with depression , 2016, BJPsych open.

[98]  O. Wolkowitz,et al.  Neuroscience-informed auditory training in schizophrenia: A final report of the effects on cognition and serum brain-derived neurotrophic factor , 2015, Schizophrenia Research: Cognition.

[99]  Anne Corbett,et al.  The Effect of an Online Cognitive Training Package in Healthy Older Adults: An Online Randomized Controlled Trial. , 2015, Journal of the American Medical Directors Association.

[100]  Richard Emsley,et al.  Modafinil combined with cognitive training: Pharmacological augmentation of cognitive training in schizophrenia , 2015, European Neuropsychopharmacology.

[101]  Konrad Paul Kording,et al.  Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study , 2015, Journal of medical Internet research.

[102]  Susan M. Kaiser,et al.  Cognitive Enhancement Treatment for People With Mental Illness Who Do Not Respond to Supported Employment: A Randomized Controlled Trial. , 2015, The American journal of psychiatry.

[103]  Albert Rizzo,et al.  Virtual Reality Exposure for PTSD Due to Military Combat and Terrorist Attacks , 2015, Journal of Contemporary Psychotherapy.

[104]  Fredric D Wolinsky,et al.  The Effect of Cognitive Speed of Processing Training on the Development of Additional IADL Difficulties and the Reduction of Depressive Symptoms , 2015, Journal of aging and health.

[105]  S. Fecteau,et al.  The Use of Virtual Reality in Craving Assessment and Cue-Exposure Therapy in Substance Use Disorders , 2014, Front. Hum. Neurosci..

[106]  P. Bordnick,et al.  A pilot study examining the efficacy of virtual-reality based relapse prevention among alcohol-dependent veterans with traumatic brain injury , 2014 .

[107]  B. Bradley,et al.  A randomized, double-blind evaluation of D-cycloserine or alprazolam combined with virtual reality exposure therapy for posttraumatic stress disorder in Iraq and Afghanistan War veterans. , 2014, The American journal of psychiatry.

[108]  Donald Hedeker,et al.  Momentary assessment of affect, physical feeling states, and physical activity in children. , 2014, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[109]  Philip D. Harvey,et al.  Cognitive remediation in schizophrenia: efficacy and effectiveness in patients with early versus long‐term course of illness , 2014, Early intervention in psychiatry.

[110]  George W Rebok,et al.  Ten‐Year Effects of the Advanced Cognitive Training for Independent and Vital Elderly Cognitive Training Trial on Cognition and Everyday Functioning in Older Adults , 2014, Journal of the American Geriatrics Society.

[111]  J. Prochaska,et al.  Psychotherapy in 2022: A Delphi poll on its future. , 2013 .

[112]  C. Depp,et al.  A Pilot Study of Mood Ratings Captured by Mobile Phone Versus Paper-and-Pencil Mood Charts in Bipolar Disorder , 2012, Journal of dual diagnosis.

[113]  C. Depp,et al.  Real-time predictors of suicidal ideation: Mobile assessment of hospitalized depressed patients , 2012, Psychiatry Research.

[114]  Vyv Huddy,et al.  A Meta-Analysis of Cognitive Remediation for Schizophrenia: Methodology and Effect Sizes , 2012 .

[115]  JoAnn Difede,et al.  Development and early evaluation of the Virtual Iraq/Afghanistan exposure therapy system for combat‐related PTSD , 2010, Annals of the New York Academy of Sciences.

[116]  S. Silverstein,et al.  Please Scroll down for Article Journal of Clinical and Experimental Neuropsychology a Comparative Study of the Matrics and Integneuro Cognitive Assessment Batteries , 2022 .

[117]  Kristine Yaffe,et al.  A Cognitive Training Program Based on Principles of Brain Plasticity: Results from the Improvement in Memory with Plasticity‐based Adaptive Cognitive Training (IMPACT) Study , 2009, Journal of the American Geriatrics Society.

[118]  Adriana M. Seelye,et al.  Status of computerized cognitive testing in aging: A systematic review , 2008, Alzheimer's & Dementia.

[119]  A. Rizzo,et al.  Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: a meta-analysis. , 2008, Journal of behavior therapy and experimental psychiatry.

[120]  Haiyi Xie,et al.  A randomized controlled trial of cognitive remediation among inpatients with persistent mental illness. , 2008, Psychiatric services.

[121]  E. Twamley,et al.  A meta-analysis of cognitive remediation in schizophrenia. , 2007, The American journal of psychiatry.

[122]  Michael F. Green,et al.  Neurocognitive effects of antipsychotic medications in patients with chronic schizophrenia in the CATIE Trial. , 2007, Archives of general psychiatry.

[123]  R. Baños,et al.  Virtual reality exposure in the treatment of panic disorder and agoraphobia: A controlled study , 2007 .

[124]  S. McGurk,et al.  Cognitive training for supported employment: 2-3 year outcomes of a randomized controlled trial. , 2007, The American journal of psychiatry.

[125]  D. Hedeker,et al.  The Time-Varying Influences of Peer and Family Support on Adolescent Daily Positive and Negative Affect , 2006, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.

[126]  T. Kamarck,et al.  Psychosocial stress and cardiovascular risk: what is the role of daily experience? , 2005, Journal of personality.

[127]  Philip D. Harvey,et al.  The Brief Assessment of Cognition in Schizophrenia: reliability, sensitivity, and comparison with a standard neurocognitive battery , 2004, Schizophrenia Research.

[128]  Steven Kerr,et al.  The AS interactive project: single-user and collaborative virtual environments for people with high-functioning autistic spectrum disorders , 2003, Comput. Animat. Virtual Worlds.

[129]  H. Hoffman,et al.  Effectiveness of Virtual Reality–Based Pain Control With Multiple Treatments , 2001, The Clinical journal of pain.

[130]  S. Shiffman,et al.  A comparison of coping assessed by ecological momentary assessment and retrospective recall. , 1998, Journal of personality and social psychology.

[131]  Mel Slater,et al.  A Framework for Immersive Virtual Environments (FIVE): Speculations on the Role of Presence in Virtual Environments , 1997, Presence: Teleoperators & Virtual Environments.

[132]  Mark B. Powers,et al.  Virtual reality exposure therapy for anxiety and related disorders: A meta-analysis of randomized controlled trials. , 2019, Journal of anxiety disorders.

[133]  Mark B. Powers,et al.  Recent advances in virtual reality therapy for anxiety and related disorders: Introduction to the special issue. , 2019, Journal of Anxiety Disorders.

[134]  Danielle A Schlosser,et al.  Neuroplasticity-based auditory training via laptop computer improves cognition in young individuals with recent onset schizophrenia. , 2015, Schizophrenia bulletin.

[135]  N. Swerdlow Beyond Antipsychotics: Pharmacologically-Augmented Cognitive Therapies (PACTs) for Schizophrenia , 2012, Neuropsychopharmacology.

[136]  J. Simoni,et al.  Oral Adherence Monitoring Using a Breath Test to Supplement Highly Active Antiretroviral Therapy , 2012, AIDS and Behavior.