ACE-D: Accelerating Cognition-guided Signatures to Enhance translation in Depression
Overview
This project is part of the National Institute of Health’s Individually Measured Phenotypes to Advance Computational Translation in Mental Health initiative, to develop a diagnosis and treatment tool for depressive disorders. Dr. Leanne Williams and her team aim to revolutionize depression treatment by creating personalized tools based on individual brain patterns. With a grant and a pool of 4,500 participants, we will use brain imaging, computer tests, and a smartphone app to identify unique cognitive biotypes for depression. Our goal is to develop a tool that can pinpoint specific types of depression and guide tailored treatment plans, potentially doubling the current success rate. This approach addresses the urgent need for better depression management, given its widespread impact and economic burden. Please see Stanford press release for more information.
Goals
A major obstacle to advancing precision psychiatry is the lack of individual-level measures suited to clinical decisions. We will optimize and validate a clinical signature measuring a cognitive phenotype linked to treatment non-response and disability in depression, enabling individualized prediction of risk and treatment selection.
Sign Up to Participate
Our study is currently recruiting adults with depression who are between the ages of 18-60.
ACE-D 2 is a research study examining the role of thinking and cognition in outcomes of
depression. Participation includes six assessments over the course of one year. You’ll
complete surveys and computer-based tasks, and use a smartphone app (if you have a
compatible phone).
If you are interested in participating in the study, please complete the following online
screening survey:
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Once we receive your completed screening survey, we’ll review it and reach out as soon as possible if you appear to be eligible. Thank you for your interest in our research!
Meet the Team
Leanne Williams, PhD
Principal Investigator, Stanford
Olusola Ajilore, MD, PhD
Principal Investigator, UIC
Trevor Hastie, PhD
Co-investigator, Stanford
Alex Leow, MD, PhD
Co-investigator, UIC
Jun Ma, MD, PhD
Principal Investigator, UIC
Laura Hack, MD, PhD
Co-Investigator, Stanford
Booil Jo, PhD
Co-investigator, Stanford
Ruth O'Hara, PhD
Co-Investigator, Stanford
Alan Schatzberg, MD
Co-investigator, Stanford
Peter Van Roessel, MD, PhD
Co-Investigator, Stanford
Lara Foland-Ross, PhD
Co-investigator, Stanford
Teddy Akiki, MD
Co-Investigator, Stanford
Erica Ma, MS, PA-c
Physician Assistant, Stanford
Rachel Hilton, PhD-c, PMHNP-BC
Nurse Practitioner, Stanford
Leyla Boyar
Clinical Res. Coordinator, Stanford
Isabelle Wydler
Clinical Res. Coordinator, Stanford
Andrea Ellsay
Research Data Analyst, Stanford
Hyun-Joon Yang
Research Data Analyst, Stanford
Funding
ACE-D is funded through an NIH initiative, Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH).
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Grant: U01MH136062