Spatio‐spectral relationships between pathological neural dynamics and cognitive impairment along the Alzheimer's disease spectrum

Introduction Numerous studies have described aberrant patterns of rhythmic neural activity in patients along the Alzheimer's disease (AD) spectrum, yet the relationships between these pathological features and cognitive decline are uncertain. Methods We acquired magnetoencephalography (MEG) dat...

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Published in:Alzheimer's & dementia : diagnosis, assessment & disease monitoring assessment & disease monitoring, 2021, Vol.13 (1), p.e12200-n/a
Main Authors: Wiesman, Alex I., Murman, Daniel L., May, Pamela E., Schantell, Mikki, Losh, Rebecca A., Johnson, Hallie J., Willet, Madelyn P., Eastman, Jacob A., Christopher‐Hayes, Nicholas J., Knott, Nichole L., Houseman, Lisa L., Wolfson, Sara L., Losh, Kathryn L., Johnson, Craig M., Wilson, Tony W.
Format: Article
Language:English
Subjects:
Activities of daily living
Alzheimer's disease
Biomarkers
Cognitive ability
Dementia
Demographics
Executive function
Informed consent
Memory
neural oscillations
Neuroimaging
Neuropsychology
Older people
Pathology
Patients
Questionnaires
resting‐state magnetoencephalography
Tomography
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Summary:Introduction Numerous studies have described aberrant patterns of rhythmic neural activity in patients along the Alzheimer's disease (AD) spectrum, yet the relationships between these pathological features and cognitive decline are uncertain. Methods We acquired magnetoencephalography (MEG) data from 38 amyloid‐PET biomarker‐confirmed patients on the AD spectrum and a comparison group of biomarker‐negative cognitively normal (CN) healthy adults, alongside an extensive neuropsychological battery. Results By modeling whole‐brain rhythmic neural activity with an extensive neuropsychological profile in patients on the AD spectrum, we show that the spectral and spatial features of deviations from healthy adults in neural population‐level activity inform their relevance to domain‐specific neurocognitive declines. Discussion Regional oscillatory activity represents a sensitive metric of neuronal pathology in patients on the AD spectrum. By considering not only the spatial, but also the spectral, definitions of cortical neuronal activity, we show that domain‐specific cognitive declines can be better modeled in these individuals.
ISSN:2352-8729
2352-8729
DOI:10.1002/dad2.12200