Contribution to a conference proceedings/Contribution to a book

DZNE-2026-00345

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology.

Emery, B. A. (First author)DZNE* ; Khanzada, S.DZNE* ; Hu, X.DZNE* ; Maggi, M. A. ; Bisti, S. ; Amin, H. (Last author)DZNE*

2025
IEEE

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Please use a persistent id in citations: doi:10.1109/EMBC58623.2025.11253272

Abstract: Alzheimer's disease (AD), a progressive neurodegenerative disorder, is projected to affect over 130 million people globally by 2050. While extensive efforts have focused on targeting molecular hallmarks such as amyloid-beta (Aβ) plaques and tau pathology, network-level dysfunction remains a critical but underexplored component of AD progression. Disruptions in hippocampal-cortical (HC) circuit activity emerge early in AD, compromising memory processing and cognitive functions. Characterizing these disruptions requires high-resolution platforms capable of capturing network-wide spatiotemporal dynamics. To address this, we implemented a high-density microelectrode array (HD-MEA) biosensor to assess large-scale electrophysiological activity in ex vivo hippocampal slices from well-established APPNL and APPNL-G-F mouse models. Our approach quantifies hippocampal oscillatory disturbances and examines their modulation by saffron, a natural compound with reported neuroprotective properties. Results indicate that hippocampal network activity is progressively impaired in APPNL-G-F mice, particularly in sharp-wave ripple (SWR) and multi-unit activity (MUA) patterns. The HD-MEA platform provides a scalable tool for investigating AD-associated network dysfunctions and exploring potential modulatory interventions.

Keyword(s): Alzheimer Disease: physiopathology (MeSH) ; Hippocampus: physiopathology (MeSH) ; Hippocampus: pathology (MeSH) ; Animals (MeSH) ; Mice (MeSH) ; Mice, Transgenic (MeSH) ; Disease Models, Animal (MeSH) ; Microelectrodes (MeSH) ; Electrophysiology: methods (MeSH) ; Nerve Net: physiopathology (MeSH) ; Humans (MeSH)

Note: Missing Journal: Annu Int Conf IEEE Eng Med Biol Soc = 2375-7477 (import from CrossRef Conference, PubMed, , Journals: pub.dzne.de)

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Contributing Institute(s):

1. Biohybrid Neuroelectronics (BIONICS) (AG Amin)

Research Program(s):

1. 351 - Brain Function (POF4-351) (POF4-351)

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