Distinct manifestations of excitatory-inhibitory imbalance associated with amyloid-β and tau in patients with Alzheimer’s disease

A growing body of evidence shows that epileptic activity is frequently observed in patients with Alzheimer's disease (AD), implicating underlying excitatory-inhibitory imbalance. The distinction of whether the AD-epileptic phenotype represents a subset of patients or an underdiagnosed manifestation holds major therapeutic implications. Here, we quantified the excitatory-inhibitory imbalance in AD patients using magnetoencephalography and examined the relationships to AD pathophysiology-amyloid-beta and tau, and to epileptic activity. We used two metrics to quantify regional excitatory-inhibitory imbalance distinguishing between local hyperexcitability (Neural excitability, quantified by regional aperiodic spectral slope) and aberrant long-range synaptic input integration (Neural fragility, quantified by regional linear dynamic instability). We found that amyloid-beta correlated with higher neural fragility and higher neural excitability, while tau and hypometabolism uniquely correlated with higher neural excitability. Importantly, the AD-epileptic phenotype showed a distinctive increase in neural fragility. Our findings demonstrate that AD pathophysiology is associated with diverse mechanisms of excitatory-inhibitory imbalance and that AD-epileptic phenotype represents a distinct group of patients with greater impairments in long-range synaptic input integration.

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Publication Details

Journal
Nature Communications
Published
2025-08-26
DOI
https://doi.org/10.1038/s41467-025-62798-4
Citations
5
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
7.36

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article

Distinct manifestations of excitatory-inhibitory imbalance associated with amyloid-β and tau in patients with Alzheimer’s disease

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Nature Communications
Epilepsy research and treatment
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article

Distinct manifestations of excitatory-inhibitory imbalance associated with amyloid-β and tau in patients with Alzheimer’s disease

Claire Yballa, Kiwamu Kudo, Srikantan S. Nagarajan, Heidi E. Kirsch, Bruce L. Miller, Kamalini G. Ranasinghe, Gil Dan Rabinovici, William J. Jagust, Keith Vossel, Katherine P. Rankin, Joel H. Kramer, Paul A. Garcia, Faatimah Syed
article en
5 citations

Abstract

A growing body of evidence shows that epileptic activity is frequently observed in patients with Alzheimer's disease (AD), implicating underlying excitatory-inhibitory imbalance. The distinction of whether the AD-epileptic phenotype represents a subset of patients or an underdiagnosed manifestation holds major therapeutic implications. Here, we quantified the excitatory-inhibitory imbalance in AD patients using magnetoencephalography and examined the relationships to AD pathophysiology-amyloid-beta and tau, and to epileptic activity. We used two metrics to quantify regional excitatory-inhibitory imbalance distinguishing between local hyperexcitability (Neural excitability, quantified by regional aperiodic spectral slope) and aberrant long-range synaptic input integration (Neural fragility, quantified by regional linear dynamic instability). We found that amyloid-beta correlated with higher neural fragility and higher neural excitability, while tau and hypometabolism uniquely correlated with higher neural excitability. Importantly, the AD-epileptic phenotype showed a distinctive increase in neural fragility. Our findings demonstrate that AD pathophysiology is associated with diverse mechanisms of excitatory-inhibitory imbalance and that AD-epileptic phenotype represents a distinct group of patients with greater impairments in long-range synaptic input integration.

Nature CommunicationsVol. 16(1)
Berkeley College (US), University of California, Los Angeles (US), University of California, San Francisco (US), University of California System (US), University Memory and Aging Center (US), University of California, Berkeley (US)
Alzheimer's Association, Larry L. Hillblom Foundation, National Institutes of Health
Openalex Percentile: Top 3%
Epilepsy research and treatment
7.36
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