Overview
Toward a Computationally-Informed, Personalized Treatment for Hallucinations
Status:
Recruiting
Recruiting
Trial end date:
2022-03-01
2022-03-01
Target enrollment:
0
0
Participant gender:
All
All
Summary
Auditory hallucinations are among the most distressing aspects of psychotic illness, and between 10 and 30% of people with hallucinations do not respond to antipsychotic medications. The authors have used computational modeling of behavior to link brain activity to development of auditory hallucinations in the hope of guiding new treatment development. The proposed studies take the first step toward individualized treatment approaches to hallucinations by attempting causal, pharmacological manipulation of relevant model parameters underlying these phenomena.Phase:
Early Phase 1Accepts Healthy Volunteers?
NoDetails
Lead Sponsor:
Yale UniversityCollaborator:
National Institute of Mental Health (NIMH)Treatments:
Butylscopolammonium Bromide
Physostigmine
Salicylates
Scopolamine
Criteria
Inclusion Criteria:- Age 18-65
- English speaking
- Right handedness
- Diagnosed with schizophrenia schizoaffective, schizophreniform, schizotypal, or brief
psychotic disorder
- History of auditory verbal hallucinations occurring at least weekly
Exclusion Criteria:
- Current substance dependence or active use as determined by drug test.
- Any neurological, medical or developmental problem that is known to impair cognition
significantly
- Contraindications for MR scanning including metallic implants of any kind, pacemakers
and history of accidents with metal, claustrophobia
- History of seizures
- History of violence
- History of suicide
- Pregnancy (determined by urine pregnancy test)
- Concurrent participation in any other intervention study
- History of urinary retention
- History of delirium
- Current use of any cholinergic or anticholinergic medication
- History of asthma, diabetes, and cardiovascular disease
- Evidence of cardiovascular disease on EKG
- Individuals who have been on dopamine-2 antagonists for less than 6 months (to limit
risk of EPS)