Neuronal synchrony abnormalities associated with subclinical epileptiform activity in early-onset Alzheimer’s disease
| Autor: | Kamalini G Ranasinghe, Kiwamu Kudo, Leighton Hinkley, Alexander Beagle, Hannah Lerner, Danielle Mizuiri, Anne Findlay, Bruce L Miller, Joel H Kramer, Maria Luisa Gorno-Tempini, Gil D Rabinovici, Katherine P Rankin, Paul A Garcia, Heidi E Kirsch, Keith Vossel, Srikantan S Nagarajan |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
magnetoencephalography
Aging network hyperexcitability epileptiform activity in Alzheimer’s disease neuronal synchrony Neurodegenerative Alzheimer's Disease Medical and Health Sciences Clinical Research Alzheimer Disease Acquired Cognitive Impairment epileptiform activity in Alzheimer's disease 2.1 Biological and endogenous factors Humans Cognitive Dysfunction Aetiology screening and diagnosis Epilepsy Neurology & Neurosurgery Psychology and Cognitive Sciences Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) Brain Magnetoencephalography Electroencephalography Brain Disorders 4.1 Discovery and preclinical testing of markers and technologies Detection nervous system imaginary coherence Neurological Biomedical Imaging Dementia Original Article Neurology (clinical) Nerve Net |
| Zdroj: | Brain Brain : a journal of neurology, vol 145, iss 2 |
| Popis: | Since the first demonstrations of network hyperexcitability in scientific models of Alzheimer’s disease, a growing body of clinical studies have identified subclinical epileptiform activity and associated cognitive decline in patients with Alzheimer’s disease. An obvious problem presented in these studies is lack of sensitive measures to detect and quantify network hyperexcitability in human subjects. In this study we examined whether altered neuronal synchrony can be a surrogate marker to quantify network hyperexcitability in patients with Alzheimer’s disease. Using magnetoencephalography (MEG) at rest, we studied 30 Alzheimer’s disease patients without subclinical epileptiform activity, 20 Alzheimer’s disease patients with subclinical epileptiform activity and 35 age-matched controls. Presence of subclinical epileptiform activity was assessed in patients with Alzheimer’s disease by long-term video-EEG and a 1-h resting MEG with simultaneous EEG. Using the resting-state source-space reconstructed MEG signal, in patients and controls we computed the global imaginary coherence in alpha (8–12 Hz) and delta–theta (2–8 Hz) oscillatory frequencies. We found that Alzheimer’s disease patients with subclinical epileptiform activity have greater reductions in alpha imaginary coherence and greater enhancements in delta–theta imaginary coherence than Alzheimer’s disease patients without subclinical epileptiform activity, and that these changes can distinguish between Alzheimer’s disease patients with subclinical epileptiform activity and Alzheimer’s disease patients without subclinical epileptiform activity with high accuracy. Finally, a principal component regression analysis showed that the variance of frequency-specific neuronal synchrony predicts longitudinal changes in Mini-Mental State Examination in patients and controls. Our results demonstrate that quantitative neurophysiological measures are sensitive biomarkers of network hyperexcitability and can be used to improve diagnosis and to select appropriate patients for the right therapy in the next-generation clinical trials. The current results provide an integrative framework for investigating network hyperexcitability and network dysfunction together with cognitive and clinical correlates in patients with Alzheimer’s disease. |
| Databáze: | OpenAIRE |
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