By Dr Alexis Estelle Whitton

Preprints

Holmes G; Tang B; Gupta S; Venkatesh S; Christensen H; Whitton AE, 2024, Applications of Large Language Models in the Field of Suicide Prevention: A Scoping Review (Preprint), http://dx.doi.org/10.2196/preprints.63126

Zheng WY; Shvetcov A; Slade A; Jenkins Z; Hoon L; Whitton A; Logothetis R; Ravindra S; Kurniawan S; Gupta S; Huckvale K; Stech E; Agarwal A; Kupper JF; Cameron S; Rosenberg J; Manoglou N; Senadeera M; Venkatesh S; Mouzakis K; Vasa R; Christensen H; Newby JM, 2024, Recruiting young people for digital mental health trials: lessons learned (Preprint), http://dx.doi.org/10.2196/preprints.60413

Pizzagalli D; Whitton A; Treadway M; Rutherford A; Kumar P; Ironside M; Kaiser R; Ren B; Dan R, 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

Shvetcov A; Kupper JF; Zheng W-Y; Slade A; Han J; Whitton A; Spoelma M; Hoon L; Mouzakis K; Vasa R; Gupta S; Venkatesh S; Newby J; Christensen H, 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

Subotic-Kerry M; Borchard T; Parker B; Li S; Choi J; Long E; Batterham P; Whitton A; Gokiert A; Spencer L; O’Dea B, 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

Shvetcov A; Whitton A; Kasturi S; Zheng W-Y; Beames J; Ibrahim O; Han J; Hoon L; Mouzakis K; Gupta S; Venkatesh S; Christensen H; Newby J, 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

Pizzagalli D; Whitton A; Kumar P; Treadway M; Rutherford A; Ironside M; Foti D; Fitzmaurice G; Du F, 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

Huckvale K; Hoon L; Stech E; Newby J; Zheng W-Y; Han J; Vasa R; Gupta S; Barnett S; Senadeera M; Cameron S; Kurniawan S; Agarwal A; Kupper JF; Asbury J; Willie D; Grant A; Cutler H; Parkinson B; Ahumada-Canale A; Beames J; Logothetis R; Bautista M; Rosenberg J; Shvetcov A; Quinn T; Mackinnon A; Rana S; Tran T; Rosenbaum S; Mouzakis K; Werner-Seidler A; Whitton A; Venkatesh S; Christensen H, 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

Pechtel P; Belleau EL; Kaiser R; Whitton AE; Beltzer M; Clegg R; Goer F; Vitaliano G; Teicher MH; Pizzagalli DA, Stress and Reward: A Multimodal Assessment of Resilience after Childhood Sexual Abuse, http://dx.doi.org/10.2139/ssrn.4090307

Beames J; Han J; Shvetcov A; Zheng W; Slade A; Ibrahim O; Rosenberg J; O’Dea B; Kasturi S; Hoon L; Whitton A; Christensen H; Newby JM, 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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