Active Mental Health Psychology & Behaviour

The Neurocognitive Mechanisms of Repetitive Negative Thoughts

In plain English

AI plain-English summary

People who ruminate—dwelling on the same anxious or depressing thoughts over and over—may be trapped by three distinct brain processes that scientists can now test and potentially retrain. This matters because repetitive negative thoughts (RNTs) are a core driver of anxiety and depression, yet current treatments often fail because no one knows exactly which neural mechanisms *cause* the rumination. The researchers will test three candidate processes: how the brain adapts to changing situations, how easily it slips into rigid habits, and how automatic avoidance responses take over. They will temporarily tweak these processes in healthy volunteers—using ultrasound, magnetic pulses, pupil-based biofeedback, and cognitive training—to see whether changing a specific brain computation actually reduces RNTs. If the work succeeds, it will identify which neural levers to pull for treatment. That could lead to targeted therapies—for example, a brief ultrasound session or a tailored cognitive exercise—that short-circuit rumination before it spirals into full-blown depression or anxiety disorder. The project also includes a larger translational study and will produce educational resources for clinicians and patients. For now, the research is fundamental: it aims to establish causation, not just correlation, in the brain circuits that keep people stuck in negative thought loops.

View original technical description
Repetitive negative thoughts (RNTs) are a risk factor for the development and maintenance of anxiety and depression and are the target of treatments for these disorders. The neurocognitive mechanisms that produce RNTs are not well understood. While a number of processes have been associated with them it is not clear: 1\. Whether the identified neural systems are necessary to perform the cognitive computations associated with RNT 2\. Whether changes in the neurocognitive computations are sufficient to produce meaningful changes in RNT This application will address these questions for three candidate neurocognitive processes; the ability to adapt learning to volatility, the tendency to develop habits, the expression of automatic avoidance tendencies. A series of experimental studies will be conducted in non-clinical human participants, including those selected to have higher levels of RNT. Neurocognitive processes will be modulated using transcranial ultrasound stimulation, transcranial magnetic stimulation, pupil-based biofeedback and a cognitive training intervention. Behavioural, neuroimaging, cognitive and symptomatic outcomes will be analysed using reinforcement learning models. The translational role of these processes will be tested in a larger study. Educational and best practice resources will be co-produced with PPIEP members. This application will provide evidence of the causal neurocognitive mechanisms of RNTs.

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Researchers

Edward Watkins (EPMC Awardee)Hanna Smyth (EPMC Awardee)Jacinta O'Shea (EPMC Awardee)Lilian Weber (EPMC Awardee)Michael Browning (EPMC Awardee)Nicole Wenderoth (EPMC Awardee)Rafal Bogacz (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Understanding the mechanisms driving the reduction of repetitive negative thought
Developing more accessible evidence-based psychological treatments for pathological worry and rumination in generalised anxiety and depressive disorders.
Understanding Repetitive Negative Thinking as a Pathway to Building Resilience in Young People
Do negative thoughts increase risk for dementia? A translational study of Cognitive Debt
Maladaptive thinking patterns in depression

Original classification

Applying neuroscience to understand symptoms in anxiety, depression & psychosis

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.