ClinicalTrials.Veeva

Menu

Brain Imaging in Early Psychosis

The Washington University logo

The Washington University

Status

Unknown

Conditions

Mental Health Issue (E.G., Depression, Psychosis, Personality Disorder, Substance Abuse)

Treatments

Device: MRI scan
Behavioral: Mental Health Assessments and Computerized Cognitive Test

Study type

Observational

Funder types

Other

Identifiers

NCT03932188
201904060

Details and patient eligibility

About

This study assesses brain connectivity and function of individuals ages 13-25 at a prodromal or early stage of a psychotic disorder. Participation involves approximately 3 hours of MRI scanning and up to 6 hours of behavioral testing at Washington University School of Medicine's campus.

Full description

Schizophrenia is a devastating illness inflicting about 1% of the population worldwide. Symptoms of schizophrenia include paranoia, hallucinations, and disorganized behaviors, and is associated with lifelong occupational and social disability. It typically develops in adolescence or early adulthood, which are particularly formative periods in life when major educational, vocational, and social life changes occur, and then the brain undergoes a rearrangement of critical neural circuits. The "prodrome" is the period before the onset of a psychotic disorder, like schizophrenia. Prodromal youth often have significant emotional distress and social withdrawal, and family members may observe a concerning change in behavior or school or work performance. Identifying those at clinical high risk for a psychotic disorder is important, as early intervention can improve symptoms and functioning, and could prevent the eventual development of a psychotic disorder. This study will focus on individuals aged 13-25 years who have met criteria for a psychosis-risk syndrome (or attenuated psychosis syndrome) or are at a very early stage (first 3 years after diagnosis) of a psychotic disorder, such as schizophrenia or schizoaffective disorder. Involvement will be either 2 or 3 partial days at Washington University and will involve approximately 3 hours of MRI scanning and up to 6 hours of behavioral testing. Additionally, the investigators will study the effect of genetics on the patterns of brain connectivity in various psychiatric populations. DNA will be collected non-invasively from saliva and stored and processed in Washington University facilities.

Enrollment

20 estimated patients

Sex

All

Ages

13 to 25 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Male or female between the ages of 13 and 25
  • Meet diagnostic criteria for a prodromal syndrome or early psychosis by either meeting: 1) criteria for psychosis-risk on the structured assessment of psychosis-risk syndrome, or 2) meeting criteria for a psychotic disorder on the SCID diagnostic interview only within the last 3 years.
  • Understand and sign an informed consent (or assent form for minors) document in English

Exclusion criteria

  • IQ of 70 or under
  • Past or current history of clinically significant central nervous system disorder that may contribute to psychotic symptoms or confound their assessment
  • Pregnancy
  • The diagnostic symptoms are clearly caused by an Axis I disorder, including substance use disorders, as judged by the evaluating clinician.

Trial design

20 participants in 2 patient groups

Control
Description:
Individuals between 13-25 years old that do not meet criteria for any prodromal syndrome, any current or past psychotic disorder, or Cluster A personality disorder diagnosis
Treatment:
Device: MRI scan
Behavioral: Mental Health Assessments and Computerized Cognitive Test
Prodromal/Early psychosis
Description:
Individuals between 13-25 years old that meet diagnostic criteria for a prodromal syndrome or early psychosis
Treatment:
Device: MRI scan
Behavioral: Mental Health Assessments and Computerized Cognitive Test

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems