Brain Connectivity Between Networks Implied in Inhibition and Cue-reactivity in Alcohol Use Disorder

NCT ID: NCT05843435

Last Updated: 2025-11-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

59 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-05-01

Study Completion Date

2025-10-31

Brief Summary

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Research about patients with alcohol use disorder has shown that task-related brain activation patterns as well as resting-state connectivity (measured with functional magnetic resonance imaging) change with clinical parameters such as the extent of craving and duration of abstinence during treatment. These brain activation alterations are related to treatment success. Although an imbalance between increased cue-reactivity and impaired counteracting inhibitory control processes are at the core of most neuropsychological conceptualizations of alcohol use disorder, the direct interaction between these two processes has not yet been investigated. Therefore, the investigators aim to study patients with alcohol use disorder in an ultra-high-field 7 Tesla magnetic resonance imaging scanner to identify fine-grained activation and connectivity patterns. The investigators would like to improve the knowledge of the interplay between the brain networks for inhibition and cue-reactivity, as well as to explore its influence on craving and treatment success. The investigators hypothesize that a more pronounced negative relationship between increased cue-reactivity and reduced inhibitory control processes in the brain is linked to higher craving and worse relapse probability.

Detailed Description

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Even if an imbalance between enhanced cue-reactivity and impaired opposing control processes is at the center of most neuroscientific conceptualizations of alcohol use disorder (AUD), these two processes are still rarely investigated in direct interaction.

Attempting to target both processes in one design, initial studies reported enhanced brain activation in anterior cingulate cortex (ACC) and ventrolateral prefrontal cortex (vlPFC), when control processes had to be carried out in the context of alcohol-related cues, and linked this altered brain activation to relapse risk. Hence, the proposed study will take advantage of the higher spatial resolution and signal-to-noise ratio of a 7 Tesla fMRI scanner to investigate more subtle effects and the involvement of subregions of vlPFC and ACC during alcohol-related inhibition.

Of special interest, particularly when it comes to explaining an imbalance between brain systems related to cue-reactivity and inhibitory control, are concurrent measures of functional brain connectivity. Aberrant resting-state functional connectivity in networks involved in reward prediction, motivation, salience attribution and executive control have been reported in AUD. Also, altered task-related connectivity was observed during cue-reactivity as well as during executive control. However, functional connectivity measures during a task combining both aspects are still missing. Therefore, this study examines the mutual interplay between cue-responsive regions and opposing inhibitory control networks. To this aim, task-related functional connectivity are measured in a specifically tailored experimental design allowing for the assessment of effects related to cue-reactivity, inhibition, as well as their interaction.

Besides, this study assesses whether possible interaction effects of task-related functional connectivity between cue-reactivity and inhibitory control vary with craving, change with prolonged abstinence or predicts drinking outcome.

Taken together, this study will deepen the understanding of the interplay between neuronal networks central to AUD, cue-reactivity and inhibitory control. The (im)balance between these processes is crucial for recently abstinent patients striving to control drinking habits and urges in an environment infused with alcohol-related cues. As such, markers capturing the interaction between these processes are of high conceptual and clinical relevance and might pave the way towards a potential biomarker indicating enhanced relapse risk.

Conditions

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Alcohol Use Disorder

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Alcohol Use Disorder/AUD

A group of 30 detoxified patients who are part of the specialized residential treatment program at the Clinic Suedhang in Kirchlindach in Switzerland.

Go-Nogo-task during functional magnetic resonance imaging

Intervention Type BEHAVIORAL

Go-Nogo-task (GNG) implemented as a mixed block- and event-related design paradigm for task-related functional resonance imaging. It is composed of six blocks, each containing an event-related inhibitory control GNG. There are two blocks with an alcohol-related GNG, two blocks with a neutral GNG, and two blocks with a mixed GNG paradigm. The blocks are presented in a counterbalanced fashion between the participants. Each block contains 125 Go-trials and 25 NoGo-trials (ratio 5:1), resulting in 150 trials per block with a block time of 5 minutes. Participants are instructed to press a button whenever a stimulus appears on the screen (Go-trial). The only exception to this rule is when the same stimulus appears twice (NoGo-trial). Stimulus material consists of 60 alcohol-related and 60 neutral pictures, presented in a pseudo-randomized order.

Resting-state functional magnetic resonance imaging

Intervention Type OTHER

An fMRI (multiband-echo-planar imaging) blood oxygenated level dependent (BOLD) protocol is run during 6 minutes of rest. This protocol allows the assessment of connectivity measures at rest, which can be compared to connectivity changes during the GNG task.

Healthy Controls/HC

A group of 30 age- and gender-matched healthy control subjects who are recruited via advertisement in social media or local newspaper.

Go-Nogo-task during functional magnetic resonance imaging

Intervention Type BEHAVIORAL

Go-Nogo-task (GNG) implemented as a mixed block- and event-related design paradigm for task-related functional resonance imaging. It is composed of six blocks, each containing an event-related inhibitory control GNG. There are two blocks with an alcohol-related GNG, two blocks with a neutral GNG, and two blocks with a mixed GNG paradigm. The blocks are presented in a counterbalanced fashion between the participants. Each block contains 125 Go-trials and 25 NoGo-trials (ratio 5:1), resulting in 150 trials per block with a block time of 5 minutes. Participants are instructed to press a button whenever a stimulus appears on the screen (Go-trial). The only exception to this rule is when the same stimulus appears twice (NoGo-trial). Stimulus material consists of 60 alcohol-related and 60 neutral pictures, presented in a pseudo-randomized order.

Resting-state functional magnetic resonance imaging

Intervention Type OTHER

An fMRI (multiband-echo-planar imaging) blood oxygenated level dependent (BOLD) protocol is run during 6 minutes of rest. This protocol allows the assessment of connectivity measures at rest, which can be compared to connectivity changes during the GNG task.

Interventions

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Go-Nogo-task during functional magnetic resonance imaging

Go-Nogo-task (GNG) implemented as a mixed block- and event-related design paradigm for task-related functional resonance imaging. It is composed of six blocks, each containing an event-related inhibitory control GNG. There are two blocks with an alcohol-related GNG, two blocks with a neutral GNG, and two blocks with a mixed GNG paradigm. The blocks are presented in a counterbalanced fashion between the participants. Each block contains 125 Go-trials and 25 NoGo-trials (ratio 5:1), resulting in 150 trials per block with a block time of 5 minutes. Participants are instructed to press a button whenever a stimulus appears on the screen (Go-trial). The only exception to this rule is when the same stimulus appears twice (NoGo-trial). Stimulus material consists of 60 alcohol-related and 60 neutral pictures, presented in a pseudo-randomized order.

Intervention Type BEHAVIORAL

Resting-state functional magnetic resonance imaging

An fMRI (multiband-echo-planar imaging) blood oxygenated level dependent (BOLD) protocol is run during 6 minutes of rest. This protocol allows the assessment of connectivity measures at rest, which can be compared to connectivity changes during the GNG task.

Intervention Type OTHER

Other Intervention Names

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Siemens Terra 7T

Eligibility Criteria

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Inclusion Criteria

* Abstained from alcohol for at least 4 weeks prior to fMRI measurement (AUD only)
* Diagnosis of AUD according to ICD-11 (AUD only)
* Written informed consent
* Mother tongue German (or Swiss German)
* Right-handedness
* AUDIT ≤ 7 (HC only)
* AUD-S \< 2 (HC only)
* BSCL GSI ≤ 63 (T-value, HC only)
* DUDIT \< 7 (HC only)

Exclusion Criteria

* Other main psychiatric diagnosis than AUD (comorbidity allowed, but AUD has to be considered the main diagnosis, AUD only)
* Neurocognitive problems
* Current medical conditions excluding participation (e.g. acute infectious disease)
* Inability to understand the participant information
* Contraindication to Magnetic Resonance Imaging (e.g. metallic objects, pregnancy, claustrophobia)
* History of alcohol and other substance use disorder (HC only)
* Being staff or student of the project leader and other persons involved in the project
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Clinic Suedhang

UNKNOWN

Sponsor Role collaborator

University of Bern

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Matthias Grieder, PhD

Role: PRINCIPAL_INVESTIGATOR

University Hospital for Psychiatry and Psychotherapy Bern

Locations

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University Hospital for Psychiatry and Psychotherapy Bern

Bern, , Switzerland

Site Status

Countries

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Switzerland

Other Identifiers

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2023-00736

Identifier Type: -

Identifier Source: org_study_id

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