ORCID as entered in ROS

Select Publications
2025, Sensory prediction errors predict motor prediction errors, http://dx.doi.org/10.1101/2025.03.16.643175
,2025, The feasibility of collecting and linking multimodal data for digital mental health research: A pilot observational study involving digital phenotyping and genetics data (Preprint), http://dx.doi.org/10.2196/preprints.71377
,2024, Needs and expectations for the myNewWayTM blended digital and face-to-face psychotherapy model of care for depression and anxiety (Part 1): People with lived and living experience co-design study. (Preprint), http://dx.doi.org/10.2196/preprints.69499
,2024, Needs and expectations for the myNewWayTM blended digital and face-to-face psychotherapy model of care for depression and anxiety (Part 2): Mental health professional co-design study (Preprint), http://dx.doi.org/10.2196/preprints.68789
,2024, Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review (Preprint), http://dx.doi.org/10.2196/preprints.63126
,2024, Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial (Preprint), http://dx.doi.org/10.2196/preprints.60413
,2023, Brain-based graph-theoretical predictive modeling to map the trajectory of transdiagnostic symptoms of anhedonia, impulsivity, and hypomania from the human functional connectome., http://dx.doi.org/10.21203/rs.3.rs-3168186/v1
,2023, Passive sensing data predicts stress in university students: A supervised machine learning method for digital phenotyping, http://dx.doi.org/10.1101/2023.07.29.23293375
,2023, While they wait: A cross-sectional survey on wait times for mental health treatment for anxiety and depression for Australian adolescents, http://dx.doi.org/10.1101/2023.08.21.23294348
,2022, Machine learning identifies a COVID-19-specific phenotype in university students using a mental health app, http://dx.doi.org/10.1101/2022.12.07.22283234
,2022, Distinct profiles of anhedonia and reward processing and their prospective associations with quality of life among individuals with mood disorders, http://dx.doi.org/10.21203/rs.3.rs-2247153/v1
,2022, Protocol for a bandit-based response adaptive trial to evaluate the effectiveness of brief self-guided digital interventions for reducing psychological distress in university students: The Vibe Up Study, http://dx.doi.org/10.1101/2022.12.05.22283129
,Stress and Reward: A Multimodal Assessment of Resilience after Childhood Sexual Abuse, http://dx.doi.org/10.2139/ssrn.4090307
,Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review, http://dx.doi.org/10.2139/ssrn.4798261
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