Title:Neural Oscillation Disorder in the Hippocampal CA1 Region of Different
Alzheimer's Disease Mice
Volume: 20
Issue: 5
Author(s): Weiming Yuan, Weijia Zhi, Lizhen Ma, Xiangjun Hu, Qian Wang, Yong Zou*Lifeng Wang*
Affiliation:
- Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850,
China
- Graduate Collaborative Training Base of Academy of Military Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing, 100850,
China
Keywords:
Alzheimer's disease, hippocampus, neural rhythmic oscillation, local field potentials, theta-gamma phase-amplitude coupling, neurodegenerative disease.
Abstract:
Background: Alzheimer's disease (AD) is a well-known neurodegenerative disease that
gradually induces neural network dysfunction and progressive memory deficits. Neural network activity
is represented by rhythmic oscillations that influence local field potentials (LFPs). However,
changes in hippocampal neural rhythmic oscillations in the early stage of AD remain largely unexplored.
Objective: This study investigated neural rhythmic oscillations in 3-month-old APP/PS1 and 5x-
FAD mice to assess early neural connectivity in AD.
Methods: LFPs were recorded from the hippocampal CA1 region with implanted microelectrode arrays
while the mice were in the awake resting stage. Welch fast Fourier transforms, continuous
wavelet transforms, and phase-amplitude coupling analyses were used to compute the power density
of different frequency bands and phase-amplitude modulation indices in the LFPs.
Results: Our results showed impaired theta, low gamma, and high gamma frequency band power
in APP/PS1 and 5xFAD mice during the awake resting stage. AD mice also showed decreased delta,
alpha, and beta frequency band power. Impaired theta-low gamma and theta-high gamma phaseamplitude
coupling were observed in 5xFAD mice.
Conclusion: This study revealed neural network activity differences in oscillation power and
cross-frequency coupling in the early stage of AD, providing a new perspective for developing biomarkers
for early AD diagnosis.
