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A Hidden Brain Signal Can Predict Alzheimer's Years Before Diagnosis
- MEG-based study found beta-wave bursts shorter in those who later developed Alzheimer's.
- Researchers say beta-wave patterns could serve as an early biomarker for cognitive decline.
- The team used a closer analytical technique instead of averaging MEG readings.
- The study involved 85 patients with mild cognitive impairment across institutions.
- Researchers aim to model brain mechanisms to test potential therapies.
- The study supports viewing beta-wave activity shifts as an early progression marker.
- Reading MEG data with beta bursts may reveal inhibitory control deficits linked to decline.
- The research is published in Imaging Neuroscience and described as a major step forward.
- Group plans to explore generation mechanisms with computational models.
- Noninvasive MEG could become a predictive tool years before Alzheimer's diagnosis.
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