Back

Temporal Dynamics of High-Frequency Oscillations in Alzheimer's Disease: A Longitudinal Study in hAPP-J20 Mice

Liao, K.-Y.; Han, X.; Chen, W.-Y.; Hsin, Y.-L.; Liu, W.

2025-12-13 neuroscience
10.64898/2025.12.10.693578 bioRxiv
Show abstract

Alzheimers disease (AD) is characterized by progressive cognitive decline and increased seizure susceptibility; yet both the mechanistic and temporal links between AD and epileptogenesis remain poorly defined. In this study, we conducted a longitudinal analysis of epileptogenesis in relation to AD pathology using hAPP-J20 transgenic mice aged 9 to 27 weeks, encompassing the AD conversion phase. Wireless electroencephalography (EEG) was employed to monitor hippocampal high-frequency oscillations (HFOs), including ripples (80-200 Hz) and fast ripples (250-600 Hz), in conjunction with histological, behavioral, and neurophysiological assessments to characterize underlying neural circuit alterations. We identified three distinct epileptogenic stages in transgenic mice: (1) 9-15 weeks: emerging memory deficits, increased excitatory/inhibitory (E/I) neuron ratio, mossy fiber sprouting, and peak seizure-related mortality, alongside the initial emergence of pathological HFOs; (2) 15-21 weeks: a pronounced escalation of pathological HFO activity and persistent network hyperexcitability preceding detectable amyloid plaque deposition, indicating rapid epileptogenic progression; (3) 21-27 weeks: stabilization of HFO activity despite continued progression of amyloid accumulation, suggesting a plateau in epileptogenic remodeling amid advancing Alzheimers pathology. These findings indicate that neuronal hyperexcitability precedes amyloid plaque deposition and likely contributes to disease progression, highlighting a critical early window for therapeutic intervention in AD. Moreover, pathological HFOs hold promise as electrophysiological biomarkers of early circuit dysfunction and represent a promising target for modifying the course of AD. O_FIG O_LINKSMALLFIG WIDTH=146 HEIGHT=200 SRC="FIGDIR/small/693578v2_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@2e4a24org.highwire.dtl.DTLVardef@1059f53org.highwire.dtl.DTLVardef@1f1d57org.highwire.dtl.DTLVardef@bf3cde_HPS_FORMAT_FIGEXP M_FIG C_FIG Figure abstractThis study examines the temporal dynamics of epileptogenic activity and amyloid pathology in hAPP-J20 transgenic mice, a model of Alzheimers disease (AD). Top: Illustration of pre-plaque and post-plaque stages in hAPP-J20 mice, depicting neural network alterations, amyloid plaque deposition, and electrophysiological changes. The top panel shows the transition from a pre-plaque to a post-plaque state, where early hippocampal activity is stable and amyloid plaques are absent. As pathology advances, the network exhibits progressive hyperexcitability, characterized by increased pathological HFOs (ripple-IEDs, fast ripples), neuronal loss, NPY sprouting, and amyloid plaque formation. Bottom: The progression of key biomarkers and disease hallmarks, comparing hAPP-J20 transgenic (Tg) mice with non-transgenic (nTg) controls. The bottom panel quantifies biomarker progression over time, revealing that CaMK2+/PV (C/P) imbalance emerges first, followed by a peak in pathological HFOs incident rate (patho-ripple, fast ripple rate), and finally, amyloid beta plaque (A{beta} plaque). These findings establish a temporal relationship between early network hyperactivity and amyloid accumulation, underscoring the importance of targeting neural hyperexcitability as a therapeutic strategy to mitigate AD progression.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.