Evidence map›Paper›PMID 39847527›Full record

ArticleBrain : a journal of neurology2025

Cell-type-specific networks during hippocampal seizures at the micro- and macroscale.

Jiaoyang Wang, Jiaqing Yan, Donghong Li, Shipei He, Xiaonan Li, Yue Xing, Huanling Lai, Yue Gui, Nannan Zhang, Wenyao Huang and 1 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jiaoyang WangDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
Jiaqing YanCollege of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China.
Donghong LiDepartment of Neurology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China.
Shipei HeDepartment of Biochemistry and Molecular Biology, Guangxi Medical University, Nanning 530021, China.
Xiaonan LiDepartment of Neurology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China.
Yue XingDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
Huanling LaiDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
Yue GuiDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
Nannan ZhangDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
Wenyao HuangDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.
Xiaofeng YangDepartment of Neurology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.

Funding

China Association Against Epilepsy Research Fund CU-2023-039Guangzhou Municipal Science and Technology Bureau 202201011259National Natural Science Foundation of China 81671367National Natural Science Foundation of China 81790653National Natural Science Foundation of China 81971202National Natural Science Foundation of China XFY 8227149
6 · The paper itself

Abstract

Epilepsy is a network disorder, involving neural circuits at both the micro- and macroscales. While local excitatory-inhibitory imbalances are recognized as hallmarks at the microscale, the dynamic roles of distinct neuron types during seizures remain poorly understood. At the macroscale, interactions between key nodes within the epileptic network, such as the central median thalamic nucleus (CMT), are critical to the hippocampal epileptic process. However, the precise mechanisms underlying these interactions remain unclear. In this study, we investigated the microcircuit dynamics within the seizure onset zone and secondary spreading regions, along with the network connectivity between the hippocampus and CMT, using a 4-aminopyridine (4-AP)-induced hippocampal seizure model. Rats were allocated into three experimental groups. The first group used a 3D tetrode array to monitor hippocampal seizure activity and microcircuit dynamics, including seizure propagation, across the macroscale network. In the second group, a chemical lesion was induced in the CMT to assess its impact on hippocampal seizures. In the third group, chemogenetic techniques were used to selectively suppress pyramidal neurons in the CMT and observe changes in neural network connectivity between the CMT and hippocampus during seizures. Offline single-unit sorting was performed using KlustaKwik, and further analysis was conducted with CellExplorer. At seizure onset, the narrow interneurons exhibited increased firing rates, initiating recruitment of other neurons, followed by increased activity in pyramidal neurons. Wide interneurons subsequently showed heightened activity. Interneurons played a more prominent role in the microcircuit during seizures compared to baseline. The CMT exhibited characteristic seizure activity and decreased narrow interneuron activity, whereas the cortex did not display seizure activity during hippocampal seizures. Lesioning the CMT resulted in the loss of the tonic component of hippocampal seizures and reduced overall neuronal activity in the hippocampus. Selective suppression of CMT pyramidal neurons resulted in shortened hippocampal seizures while preserving the tonic component. Narrow interneuron activity remained unchanged, while pyramidal neuron and wide interneuron activity significantly decreased. Our findings underscore the critical role of interneurons in the micronetwork of the seizure onset zone and secondary spreading region. Narrow interneurons were particularly vital in seizure initiation, whereas wide interneurons may contribute to seizure termination within the onset zone but not in the secondary spreading region. Pyramidal neurons in the CMT influence hippocampal seizures by modulating both hippocampal pyramidal neurons and wide interneurons.

Indexed as

HippocampusNerve NetNeuronsSeizures4-AminopyridineAnimalsDisease Models, AnimalInterneuronsMalePyramidal CellsRatsRats, Sprague-Dawley4-Aminopyridinecentromedian thalamic nucleushippocampusnetworkseizure

Identifiers

PMID39847527
PMCPMC12493063

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.