4.7 Article

Spatially resolved neural slowing predicts impairment and amyloid burden in Alzheimer's disease

期刊

BRAIN
卷 145, 期 6, 页码 2177-2189

出版社

OXFORD UNIV PRESS
DOI: 10.1093/brain/awab430

关键词

magnetoencephalography; mild cognitive impairment; neural oscillations; spontaneous activity

资金

  1. National Institutes of Health [R01-MH116782-S1, R01-MH118013-S1, F31-AG055332, F32NS119375]
  2. Fremont Area Alzheimer's Fund (FAAF)

向作者/读者索取更多资源

The study reveals a pathological slowing of neuronal activity in patients on the Alzheimer's disease spectrum, which is associated with proteinopathy and cognitive outcomes. The findings introduce a new metric to describe this slowing and validate its clinical utility. Additionally, the study shows a spatially overlapping effect of the slowing phenomenon in patients on the Alzheimer's disease spectrum, and links it to regional amyloid-beta accumulation and cognitive function.
An extensive electrophysiological literature has proposed a pathological 'slowing' of neuronal activity in patients on the Alzheimer's disease spectrum. Supported by numerous studies reporting increases in low-frequency and decreases in high-frequency neural oscillations, this pattern has been suggested as a stable biomarker with potential clinical utility. However, no spatially resolved metric of such slowing exists, stymieing efforts to understand its relation to proteinopathy and clinical outcomes. Further, the assumption that this slowing is occurring in spatially overlapping populations of neurons has not been empirically validated. In the current study, we collected cross-sectional resting state measures of neuronal activity using magnetoencephalography from 38 biomarker-confirmed patients on the Alzheimer's disease spectrum and 20 cognitively normal biomarker-negative older adults. From these data, we compute and validate a new metric of spatially resolved oscillatory deviations from healthy ageing for each patient on the Alzheimer's disease spectrum. Using this Pathological Oscillatory Slowing Index, we show that patients on the Alzheimer's disease spectrum exhibit robust neuronal slowing across a network of temporal, parietal, cerebellar and prefrontal cortices. This slowing effect is shown to be directly relevant to clinical outcomes, as oscillatory slowing in temporal and parietal cortices significantly predicted both general (i.e. Montreal Cognitive Assessment scores) and domain-specific (i.e. attention, language and processing speed) cognitive function. Further, regional amyloid-beta accumulation, as measured by quantitative F-18 florbetapir PET, robustly predicted the magnitude of this pathological neural slowing effect, and the strength of this relationship between amyloid-beta burden and neural slowing also predicted attentional impairments across patients. These findings provide empirical support for a spatially overlapping effect of oscillatory neural slowing in biomarker-confirmed patients on the Alzheimer's disease spectrum, and link this effect to both regional proteinopathy and cognitive outcomes in a spatially resolved manner. The Pathological Oscillatory Slowing Index also represents a novel metric that is of potentially high utility across a number of clinical neuroimaging applications, as oscillatory slowing has also been extensively documented in other patient populations, most notably Parkinson's disease, with divergent spectral and spatial features.

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