Spatio‐spectral relationships between pathological neural dynamics and cognitive impairment along the Alzheimer's disease spectrum. Issue 1 (31st May 2021)

• Record Type: Journal Article
• 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.
• Is Part Of: Alzheimer's & dementia. Volume 13:Issue 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-05-31
• Subjects: neural oscillations -- neuropsychology -- resting‐state magnetoencephalography; Alzheimer's disease -- Periodicals; Alzheimer's disease -- Diagnosis -- Periodicals; Dementia -- Periodicals; Dementia -- Diagnosis -- Periodicals; 616.831
• DOI: 10.1002/dad2.12200
• Languages: English
• ISSNs: 2352-8729

Abstract

Abstract: 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.