Aarthi Padmanabhan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Randomized Controlled Trial

Positron Emission Tomography

Depressive Symptoms

Top Venues

Journal of medical Internet research

JMIR research protocols

JMIR formative research

This page only lists publications with an associated author ORCID identifier.

Publications

Emily Peake, Ian Miller, Jessica E Flannery, Lang Chen, Jessica I Lake, Aarthi Padmanabhan
Preliminary Efficacy of a Digital Intervention for Adolescent Depression: Randomized Controlled Trial. Journal of medical Internet research 26 (2024)
Emily Peake, Ian Miller, Jessica E Flannery, Lang Chen, Jessica I Lake, Aarthi Padmanabhan
Preliminary Efficacy of a Digital Intervention for Adolescent Depression: Randomized Controlled Trial. Journal of medical Internet research 26 (2024)
Emily Peake, Ian Miller, Jessica E Flannery, Lang Chen, Jessica I Lake, Aarthi Padmanabhan
Preliminary Efficacy of a Digital Intervention for Adolescent Depression: Randomized Controlled Trial. Journal of medical Internet research 26 (2024)
Emily Peake, Ian Miller, Jessica E Flannery, Lang Chen, Jessica I Lake, Aarthi Padmanabhan
Preliminary Efficacy of a Digital Intervention for Adolescent Depression: Randomized Controlled Trial. Journal of medical Internet research 26 (2024)
Ian Miller, Emily Peake, Gabriel Strauss, Elise Vierra, Xin Koepsell, Brandon Shalchi, Aarthi Padmanabhan, Jessica I Lake
Self-Guided Digital Intervention for Depression in Adolescents: Feasibility and Preliminary Efficacy Study. JMIR formative research 7 (2023)
Daniella J Furman, Shana A Hall, Claudia Avina, Vera N Kulikov, Jessica I Lake, Aarthi Padmanabhan
Assessing the Efficacy and Safety of a Digital Therapeutic for Symptoms of Depression in Adolescents: Protocol for a Randomized Controlled Trial. JMIR research protocols 12 (2023)
Daniel Arthur Abrams, Aarthi Padmanabhan, Tianwen Chen, Paola Odriozola, Amanda E Baker, John Kochalka, Jennifer M Phillips, Vinod Menon
Impaired voice processing in reward and salience circuits predicts social communication in children with autism. eLife 8 (2019)