Innovative Brainwave Test Detects Memory Decline Years Before Alzheimer's Diagnosis

A groundbreaking, simple brainwave test developed at the University of Bath offers a promising method for identifying early signs of memory impairment associated with Alzheimer's disease long before clinical symptoms appear. This innovative approach, known as the Fastball EEG test, involves non-invasive measurement of electrical brain activity while individuals view a stream of images. Remarkably, this passive test can be administered at home, outside of clinical settings, making early screening more accessible and scalable.

The study, published in the journal Brain Communications, involved researchers from the University of Bath and the University of Bristol. They found that Fastball could reliably detect memory problems in people with Mild Cognitive Impairment (MCI)—a condition that often precedes Alzheimer's. The test results showed reduced memory-related responses even in those who later progressed to full-blown dementia, indicating its potential as an early diagnostic tool.

Unlike traditional memory assessments, which require active participation and can be subjective, Fastball measures automatic brain responses, providing an objective indicator of cognitive health. The test's ease of use means it could be integrated into general practice, memory clinics, or home monitoring, enabling earlier intervention.

With recent advances in Alzheimer's treatments like donanemab and lecanemab, early diagnosis has become more critical than ever. These drugs are most effective when administered in the disease's initial stages. Yet, in England, about one-third of individuals with dementia remain undiagnosed, delaying access to vital treatment, support, and research opportunities.

Dr. George Stothart, a leading researcher, emphasized the significance of this development: "Current diagnostic tools often miss the early stages of Alzheimer's. Fastball provides a quick, objective, and low-cost means to detect memory decline much earlier."

The test assesses the brain's automatic responses to images without requiring active recall, making it suitable for widespread use. Key findings include its ability to detect early memory issues in at-risk populations and its effectiveness in real-world, remote settings. This represents a significant advance in efforts to diagnose Alzheimer's at its earliest, most treatable stages.

Overall, this innovative brainwave test has the potential to revolutionize early detection of Alzheimer's, providing a practical, accessible tool to identify cognitive decline years before symptoms become apparent, ultimately opening new avenues for intervention and care.