The Challenge Of Cannabis Use Disorder
Cannabis use disorder (CUD) affects an estimated 33 million people worldwide. While cannabis is often perceived as less harmful than other substances, many individuals struggle with intense cravings that can drive compulsive use, relapse, and impaired functioning. Current treatment options for CUD remain limited, and relapse rates are high. Researchers are now looking at innovative brain-based tools, such as fMRI neurofeedback, to provide new strategies for managing cravings.
What Is fMRI Neurofeedback
Functional magnetic resonance imaging (fMRI) is a brain scan that detects changes in activity in real time. Neurofeedback uses this information to allow people to see their own brain activity and learn to regulate it. Unlike traditional therapy, which focuses on thoughts and behaviors, fMRI neurofeedback trains the brain directly by giving participants feedback on what is happening inside their neural circuits. In substance use research, certain brain regions like the anterior cingulate cortex (ACC) show heightened activity when exposed to drug cues. By using neurofeedback, participants may be able to learn how to dampen this hyperactivity, thereby reducing the intensity of cravings.
The CannChange Study Protocol
A team of researchers in Australia has launched CannChange, a feasibility study testing fMRI neurofeedback for cannabis use disorder. The study focuses on people with moderate-to-severe CUD and explores whether participants can use feedback to change how their brains respond during craving episodes. The central idea is twofold: to increase ACC activity when individuals attempt to control cravings, and to decrease ACC reactivity when they are exposed to cannabis cues. By practicing this regulation during neurofeedback sessions, participants may develop better control over the brain pathways that fuel addictive behaviors.
Why This Matters For Treatment
Traditional approaches to CUD, such as counseling or pharmacological options, often have limited effectiveness. Neurofeedback represents a different pathway—one that targets the brain’s reward and control systems directly. If this method proves feasible, it could become a valuable add-on to therapy, giving patients a tangible way to retrain their own brain responses. This approach also aligns with a broader movement in psychiatry toward precision medicine. Instead of using one-size-fits-all strategies, fMRI neurofeedback allows clinicians to tailor interventions based on how an individual’s brain reacts to specific triggers.
Potential Limitations And Future Steps
It is important to note that CannChange is a feasibility study, meaning it will not answer whether the treatment works at scale. Instead, it will examine whether the protocol is practical, safe, and worth testing in larger clinical trials. Questions remain about accessibility, since fMRI requires expensive equipment and highly trained staff. However, the study could pave the way for more affordable brain-based tools in the future, such as EEG-based neurofeedback, which uses scalp sensors rather than MRI scanners. If fMRI studies can identify the most critical brain pathways involved in craving, more portable and cost-effective neurofeedback methods might follow.
Looking Ahead
The CannChange study is still in early stages, but it reflects a growing interest in interventional psychiatry approaches that harness brain science to tackle complex mental health challenges. For individuals struggling with cannabis cravings, fMRI neurofeedback could represent a new way forward—one that turns brain scans into active treatment tools rather than just diagnostic images. As researchers continue to investigate, the hope is that neurofeedback will one day become a practical part of treatment plans, helping patients retrain their own neural responses and achieve lasting recovery.
References
Murphy E, Poudel G, Ganesan S, Suo C, Manning V, Beyer E, Clemente A, Moffat BA, Zalesky A, Lorenzetti V. Real-time fMRI-based neurofeedback to restore brain function in substance use disorders: A systematic review of the literature. Neuroscience & Biobehavioral Reviews. 2024; https://www.sciencedirect.com/science/article/pii/S0149763424003348?via%3Dihub
Sehl H, Terrett G, Greenwood LM, Kowalczyk M, Thomson H, Poudel G, Manning V, Lorenzetti V. Patterns of brain function associated with cannabis cue-reactivity in regular cannabis users: a systematic review of fMRI studies. Psychopharmacology (Berl). https://link.springer.com/article/10.1007/s00213-021-05973-x