Amyloid β–dependent neuronal silencing through synaptic decoupling

Y Yonghai Zhang (Institute of Neuroscience, Technical University of Munich) H Hsing-Jung Chen-Engerer (Institute of Neuroscience, Technical University of Munich) K Kuan Zhang (Institute of Neuroscience, Technical University of Munich) B Benedikt Zott (Institute of Neuroscience, Technical University of Munich) Z Zsuzsanna Varga (Institute of Neuroscience, Technical University of Munich) Y Yang Chen X Xiaowei Chen H Hongbo Jia (Institute of Neuroscience, Technical University of Munich) B Bert Sakmann (Institute of Neuroscience, Technical University of Munich) I Israel Nelken (Institute of Neuroscience, Technical University of Munich) A Arthur Konnerth (Institute of Neuroscience, Technical University of Munich)

Abstract

Amyloid β (Aβ)-dependent circuit dysfunction in Alzheimer’s disease (AD) is determined by a puzzling mix of hyperactive and inactive (“silent”) brain neurons. Recent studies identified excessive glutamate accumulation as a key Aβ-dependent determinant of hyperactivity. The cellular mechanisms underlying neuronal silence depend on both Aβ and tau protein pathologies, with an unknown role of Aβ. Here, by using single-cell-initiated rabies virus (RV) tracing in mouse models of β-amyloidosis, we demonstrate that the presynaptic connectivity of silent, but not that of hyperactive, neurons is severely disrupted. Furthermore, silent neurons display a major spine loss and strongly suppressed synaptic activity. Thus, we suggest that synaptic decoupling is an Aβ-dependent cellular mechanism underlying progressive neuronal silencing and a critical factor for the cognitive impairments encountered in AD.

Article Details

Volume / Issue Vol. 122, Issue 35
Published September 02, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (11)

Y

Yonghai Zhang

Institute of Neuroscience, Technical University of Munich

H

Hsing-Jung Chen-Engerer

Institute of Neuroscience, Technical University of Munich

K

Kuan Zhang

Institute of Neuroscience, Technical University of Munich

B

Benedikt Zott

Institute of Neuroscience, Technical University of Munich

Z

Zsuzsanna Varga

Institute of Neuroscience, Technical University of Munich

Y

Yang Chen

X

Xiaowei Chen

H

Hongbo Jia

Institute of Neuroscience, Technical University of Munich

B

Bert Sakmann

Institute of Neuroscience, Technical University of Munich

I

Israel Nelken

Institute of Neuroscience, Technical University of Munich

A

Arthur Konnerth

Institute of Neuroscience, Technical University of Munich