Mouse Amygdala Kindling Data for Fenfluramine and Sigma-1 Modulation Studies
by Heidrun Potschka·Updated 1mo ago
236.2 KB8files
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Description
Experimental data from a mouse amygdala kindling model investigating the Sigma-1 chaperone protein and antiseizure medication fenfluramine. The dataset, authored by Heidrun Potschka and last updated in April 2026, contains raw measurements for seizure thresholds, severity, duration, progression, and behavioral outcomes. Each row corresponds to a different animal, with data organized into Excel sheets by experimental procedure.
Use Cases
Analyzing the effects of Sigma-1 positive allosteric modulator E1R on seizure thresholds and kindling acquisition.
Evaluating the disease-modifying potential of pharmacological interventions based on seizure severity and duration metrics.
Comparing the influence of genetic Sigma-1 deficiency versus pharmacological antagonism (NE-100) on seizure development.
Assessing behavioral outcomes and tolerability of test compounds using open field and saccharin preference tests.
Strengths
Data is structured by experimental procedure (e.g., genetic modulation, kindling progression, behavioral tests) for clear analysis.
Includes raw data used to generate figures for a published study, supporting reproducibility.
Released under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for certain statistical methods.
The dataset is small at 236.2 KB, indicating a limited experimental scope.
Provenance
Source
figshare
Collection Method
Data generated from controlled laboratory experiments using the mouse amygdala kindling paradigm.
Time Range
Experimental timeframe not specified in metadata.
Freshness
Last updated 2026-04-27 13:29:08; freshness should be verified.
Geography
Laboratory-based; geographic origin not specified.
Data is provided in XLSX format, requiring software capable of reading Excel files.