Building a Computational Model of Auditory Hallucinations (CLARITY WP1)

September 14, 2026 updated by: King's College London

Building a Computational Model of the Role of Excitation/Inhibition (E/I) Balance in Auditory Hallucinations Using Electroencephalography (EEG) and Magnetic Resonance Imaging (MRI): a Case-control Study

Some people hear voices or sounds that other people cannot hear; these are called auditory hallucinations. The study aims to understand what is happening in the brain when this occurs and will use brain scans to learn more. Greater understanding should help develop better treatments in the future.

Study Overview

Detailed Description

Psychotic disorders, including schizophrenia and bipolar disorder with psychotic features, are severe mental health conditions that significantly diminish quality of life and place a substantial economic burden on society. In England, the total societal cost of schizophrenia is estimated at £11.8 billion per year, with the public sector bearing approximately £7.2 billion of this cost. People with lived experience of psychosis (PWLEP) may experience a range of symptoms, including positive symptoms such as hallucinations and delusions, negative symptoms such as affective flattening, and cognitive impairments, including difficulties with attention, memory and executive function.

Auditory hallucinations, a common and disruptive symptom of psychotic disorders, are typically experienced as hearing voices and occur in approximately 75% of PWLEP. These voices are often intrusive and may be critical, threatening, or commanding, and can be associated with an increased risk of suicide. Whilst antipsychotic treatments, which primarily act through dopamine receptor antagonism, can be effective, they are often associated with significant side effects, and the response to antipsychotic treatment is insufficient in around 40% of patients. There is therefore an urgent need to better understand the mechanisms underlying auditory hallucinations to identify more effective treatment targets and develop novel therapies that act through mechanisms other than dopamine receptor antagonism.

A key avenue for understanding auditory hallucinations is examining disruptions in excitatory-inhibitory (E/I) balance, a fundamental mechanism in neural processing. Post-mortem and in vivo electrophysiological studies implicate dysregulated cortical microcircuits in psychosis, where excitatory pyramidal cells (signalling using glutamate) and inhibitory interneurons (signalling using gamma-aminobutyric acid or 'GABA') regulate neural activity. Interactions between these cells generate synchronised neural oscillations across different frequency bands, from low (delta, theta, alpha) to high (beta, gamma) frequencies. These oscillations, which are crucial for coordinating neural activity and supporting cognitive and perceptual function, can also serve as a measure of E/I balance and be assessed in humans using electroencephalography (EEG).

Previous studies have shown that resting-state cortical theta and gamma oscillations are increased, whilst beta oscillations and evoked gamma are reduced in people with psychosis, indicating altered E/I balance in the cortex. Dynamic causal modelling (DCM) is a validated computational technique for inferring E/I imbalance in both rodent models and humans, allowing a more precise estimate of E/I balance in the human brain to be obtained. Applying DCM to EEG and functional magnetic resonance imaging (fMRI) paradigms-including resting-state recordings, mismatch negativity (MMN), and the 40-Hz auditory steady-state response (ASSR)-has previously shown that pyramidal neuron disinhibition in the auditory cortex (primary auditory cortex and related regions) was associated with auditory perceptual symptoms, serving as a measure of hallucinations.

These findings have been demonstrated in those with chronic psychosis. The investigators now propose to measure E/I early in the presentation of a psychotic disorder to show whether this pathophysiology is related to symptoms demonstrated close to the onset of illness.

The aim of this study is to create a computational model of auditory hallucinations using cortical E/I balance in individuals with a psychotic disorder.

Primary Objective:

The principal research objective is to understand differences in brain signalling, specifically in E/I balance in those with auditory hallucinations using a computational model based on EEG measures such as ASSR relative to healthy volunteers without auditory hallucinations, and whether such measures predict changes in auditory hallucination over time.

Secondary Objectives:

The secondary research objectives include testing if levels of brain and blood substances and genetics are related to brain E/I balance in those with auditory hallucinations and healthy controls.

Study Type

Observational

Enrollment (Estimated)

146

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

PWLEP: people with auditory perceptual alterations able to get to the study site in London.

Controls: people without psychosis or auditory perceptual alterations able to get to the study site in London.

Description

Inclusion Criteria:

PWLEP:

  1. Age 16-65 years.
  2. A score of at least 3 on the state section of the Auditory Perceptual Trait and State scale (APTS).
  3. If using an antipsychotic drug, participants must be on a stable dose of any medication during the baseline measures.
  4. Sufficient understanding of the nature of the study and any hazards of participating in it, or suitable consultee who can understand this and provide an opinion of what the participant's wishes would be if the participant does not have capacity, if appropriate to do so.
  5. Ability to communicate satisfactorily with the investigator and to participate in, and comply with the requirements of, the entire study.
  6. Capacity to give written consent to participate after reading the information and consent form and after having the opportunity to discuss the study with the investigators or their delegates, or suitable consultee who can understand this and provide an opinion of what the participant's wishes would be if the participant does not have capacity, if appropriate to do so.

Healthy controls:

  1. Age 16-65 years.
  2. Sufficient understanding of the nature of the study and any hazards of participating in it, or suitable consultee who can understand this and provide an opinion of what the participant's wishes would be if the participant does not have capacity, if appropriate to do so.
  3. Ability to communicate satisfactorily with the investigator and to participate in, and comply with the requirements of, the entire study.
  4. Capacity to give written consent to participate after reading the information and consent form and after having the opportunity to discuss the study with the investigators or their delegates, or suitable consultee who can understand this and provide an opinion of what the participant's wishes would be if the participant does not have capacity, if appropriate to do so.

Exclusion Criteria:

PWLEP:

  1. Clinically relevant abnormal history, or laboratory values at the pre-study screening assessment or participation in other research studies that could interfere with the objectives of the study or the safety of the participant, as deemed significant for a study researcher.
  2. Impaired endocrine, cardiac, pulmonary, thyroid, haematological, hepatic, respiratory, neurological, immunological or renal function, or other major disease (e.g. cancer) deemed clinically significant at the time of the study.
  3. Recent history (i.e. in the last 12 months) of epilepsy or seizures.
  4. Homicidal ideation or intent, as judged by a researcher; suicidal ideation, with some intent to act, or suicidal behaviour, as judged by a researcher.
  5. History of drug or alcohol dependence (except for caffeine and nicotine and mild/moderate cannabis dependence) in the 3 months before study start.
  6. Likelihood that the participant will not comply with the requirements of the protocol.
  7. Contraindication to MRI, EEG or other study procedures (for example history of metal implants or metal pieces entering the body that cannot be removed safely, severe claustrophobia, allergy or skin sensitivity to EEG electrode gel).
  8. Any other condition or disability that would make participation in the study procedures not possible (for example severe vision or hearing impairment).

Healthy controls:

As above, and also:

1. No relevant family history of schizophrenia and psychosis (as judged relevant by a study researcher).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
People with lived experience of psychosis (PWLEP)
Age 16-65 years with experience of auditory perceptual alterations as measured by validated scale and able to consent to the study. On stable dose of antipsychotic medication if using. No recent history of epilepsy or seizure within last 12 months.
Control
Age 16-65 years with no relevant family history of schizophrenia and psychosis (as judged relevant by a study researcher) and able to consent to study. No recent history of epilepsy or seizure within last 12 months.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
E/I balance determined using the computational model based on the 40-Hz auditory steady-state response (ASSR) EEG response.
Time Frame: Baseline
Computational model will be created after study end, using EEG data acquired at the baseline study visit.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mismatch Negativity (MMN): E/I balance determined using MMN amplitude and latency measured using EEG.
Time Frame: Baseline
Baseline
Relationship between E/I balance and auditory perceptual symptom severity, assessed using the Auditory Perceptual Trait and State Scale.
Time Frame: Baseline
Baseline
EEG Resting-State Activity: Power across frequency bands (delta, theta, alpha, beta, gamma) during resting-state EEG.
Time Frame: Baseline
Baseline
Auditory Oddball P300: Amplitude of the P300 event-related potential in response to an auditory oddball, measured using EEG.
Time Frame: Baseline
Baseline
fMRI Resting-State Connectivity
Time Frame: Baseline
E/I balance determined using functional connectivity between key brain regions (e.g., auditory cortex, prefrontal cortex) assessed by resting-state fMRI.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

August 1, 2030

Study Completion (Estimated)

August 1, 2030

Study Registration Dates

First Submitted

September 8, 2026

First Submitted That Met QC Criteria

September 14, 2026

First Posted (Actual)

September 15, 2026

Study Record Updates

Last Update Posted (Actual)

September 15, 2026

Last Update Submitted That Met QC Criteria

September 14, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Collected anonymised data may be shared with other researchers within and outside the UK as per open science agreements from the funder Wellcome.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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