{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T06:35:29Z","timestamp":1772778929766,"version":"3.50.1"},"reference-count":178,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Dement."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Neuronal networks enable brain\u2019s information processing through a well-coordinated activity. Disruptions in this activity can impair key brain functions such as synaptic plasticity and long-term memory. Such dysfunctions are relevant to the cognitive deterioration in Alzheimer\u2019s disease (AD). Neuronal circuit alterations in AD are associated with amyloid-\u03b2 (A\u03b2) extracellular accumulation across multiple brain regions involved in cognitive regulation. Although several studies have analyzed network topology and examined anatomical, functional, and effective connectivity to understand their role in AD, the direct contribution of A\u03b2 to local neuronal network disturbances has not been investigated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We assessed the CA1 hippocampal network structure after acute exposure to A\u03b21-42 (30\u202fnM) using an\n                      <jats:italic>in vitro<\/jats:italic>\n                      multielectrode array approach. We analyzed neuronal spiking activity recordings, evaluated the frequency of spontaneous synchronized events, and assessed functional connectivity to elucidate the functional alterations in the network. We also elucidated the statistical features of network topology using Graph Theoretical analysis, small-world network properties, and network classification using the Estrada index approach.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>CA1 hippocampal neurons showed an average reduced firing frequency. However, some putative pyramidal neurons and interneurons increased their activity. These differences in activity are cell-type-specific, being the interneurons the cells that mainly reduce their firing in presence of A\u03b2. The number and magnitude of their functional links within the network were not different, but a synchronized firing pattern of different neurons was observed. These changes were associated with alterations to the network\u2019s topological structure, indicating the generation of highly connected nodes in the presence of A\u03b2.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      The main change in the reconfiguration of the CA1 hippocampal network induced by acute exposure to A\u03b2 involved the differential change in firing of different neurons, where the average reduction in firing was found, but some neurons increased their firing. This may constitute an adaptive mechanisms that compensate for neuronal connectivity and help maintain the level of activity. This is the first time the Estrada index has been used to elucidate alterations in the topological neuronal network in an\n                      <jats:italic>ex vivo<\/jats:italic>\n                      brain preparation, highlighting its greater sensitivity for detecting changes compared to other topological network analysis approaches.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/frdem.2026.1738954","type":"journal-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:29:38Z","timestamp":1772774978000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Amyloid-\u03b2 acute exposition affects the CA1 hippocampal network activity and its topological organization, evaluated with multielectrode arrays"],"prefix":"10.3389","volume":"5","author":[{"given":"David","family":"Alcantara-Gonzalez","sequence":"first","affiliation":[{"name":"Departamento de Neurobiolog\u00eda del Desarrollo y Neurofisiolog\u00eda, Instituto de Neurobiolog\u00eda, Universidad Nacional Aut\u00f3noma de M\u00e9xico","place":["Quer\u00e9taro, Mexico"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth","family":"Santiago","sequence":"additional","affiliation":[{"name":"Departamento de Neurobiolog\u00eda del Desarrollo y Neurofisiolog\u00eda, Instituto de Neurobiolog\u00eda, Universidad Nacional Aut\u00f3noma de M\u00e9xico","place":["Quer\u00e9taro, Mexico"]},{"name":"Laboratorio de Biolog\u00eda Computacional, Instituto Nacional de Enfermedades Respiratorias Ismael Cos\u00edo Villegas","place":["Mexico City, Mexico"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Pe\u00f1a-Ortega","sequence":"additional","affiliation":[{"name":"Departamento de Neurobiolog\u00eda del Desarrollo y Neurofisiolog\u00eda, Instituto de Neurobiolog\u00eda, Universidad Nacional Aut\u00f3noma de M\u00e9xico","place":["Quer\u00e9taro, Mexico"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,3,6]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1038\/81453","article-title":"Synaptic plasticity: taming the beast","volume":"3","author":"Abbott","year":"2000","journal-title":"Nat. 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