Testing speech analysis to predict response to psychiatric treatments
Tests whether speech patterns predict response to TMS or Spravato in adults.
Plain-language title generated from the registry record
Registry title: Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions
Key facts
- Where
- New York and Sunnyvale, United StatesSee the 2 sites
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 68 years old?
Source: NCT06823024, who can take part
Where in United States
- Fermata HealthNew York, United StatesNo longer taking part
- Acacia ClinicsSunnyvale, United StatesNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Psyrin Inc.
- Trial code
- NCT06823024
- Record updated
- 18 March 2025
- Original description
This is a research study looking at whether the way people speak can help predict how well they'll respond to certain mental health treatments.Read full original descriptionShow less
An Observational, Prospective Study to Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions
This is a research study looking at whether the way people speak can help predict how well they'll respond to certain mental health treatments.
The Main Goal:
The researchers want to see if computer analysis of a person's speech patterns can predict whether they'll respond well to two specific treatments: TMS (Transcranial Magnetic Stimulation) and Spravato (a nasal spray medication). They're focusing on people with depression, bipolar disorder, OCD, anxiety, and PTSD.
How It Works:
200 people with these conditions will participate in the study.Participants will record themselves speaking for about 12 minutes, responding to six different prompts.They'll do these recordings before treatment starts, daily during treatment, right after treatment ends, and again four weeks later. Doctors will track how well people are doing using various questionnaires and rating scales The researchers will look for connections between speech patterns and treatment success. The study will last 12 months.
What Makes Someone a "Treatment Success":
The study considers treatment successful if a person's symptoms improve significantly (specifically, a 2-point or greater reduction on a clinical rating scale (called Clinical Global Impression) and stays improved during the follow-up period (4-weeks).
Why This Matters:
If successful, this research could lead to a simple, non-invasive way to help doctors predict which treatments might work best for different patients. This could help people get the most effective treatment more quickly and help healthcare providers use their resources more efficiently.
Safety Consideration The researchers will also check whether doing the speech assessments causes any distress to participants, making sure the evaluation process itself is safe and comfortable.
Inclusion: Outpatient status; Men and women aged 18-68 years; Capable and willing to provide informed consent; Able to adhere to the treatment schedule; Stable on medication for at least 2 months with no anticipated changes during the study period; Diagnosis of MDD, PTSD, or BD; Eligible for and scheduled to receive TMS or Spravato (esketamine) treatment to alleviate symptoms of MDD, PTSD, GAD, OCD or BD; Fluent in English; Access to a stable internet connection and an electronic device with a microphone for voice recording.
Exclusion: Use of any investigational drug within four weeks of the baseline visit; If participating in psychotherapy, the patient must have been in stable treatment for at least three months before study entry, with no anticipated changes in the frequency of therapeutic sessions or therapeutic focus during the TMS or Spravato treatment; Cognitive impairment that would interfere with study participation or data quality; Intoxication during speech assessments; Lack of fluency in English.