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To facilitate comprehensive and systematic studies in this filed, we have developed the <jats:italic>Neurological Disease Animal Model Database<\/jats:italic> (ND\u2010AMD), accessible at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/www.uc-med.net\/NDAMD\">https:\/\/www.uc\u2010med.net\/NDAMD<\/jats:ext-link>. This database is signed around the central theme of \u201cBig Data \u2010 Neurological Diseases \u2010 Animal Models \u2010 Mechanism Research,\u201d integrating large\u2010scale, multi\u2010dimensional, and multi\u2010scale data to facilitate in\u2010depth analyses. ND\u2010AMD serves as a resource for panoramic studies, enabling comparative and mechanistic research across diverse experimental conditions, species, and disease models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p>Data were systematically retrieved from PubMed, Web of Science, and other relevant databases using Boolean search strategies with standardized MeSH terms and keywords. The collected data were curated and integrated into a structured SQL\u2010based framework, ensuring consistency through automated validation checks and manual verification. Heterogeneity and sensitivity analyses were conducted using Cochran's Q test and the <jats:italic>I<\/jats:italic><jats:sup>2<\/jats:sup> statistic to assess variability across studies. Statistical workflows were implemented in Python (SciPy, Pandas, NumPy) to support multi\u2010scale data integration, trend analysis, and model validation. Additionally, a text co\u2010occurrence network analysis was performed using Natural Language Processing (TF\u2010IDF and word embeddings) to identify key conceptual linkages and semantic structures across studies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>ND\u2010AMD integrates data from 483 animal models of neurological diseases, covering eight disease categories, 21 specific diseases, 13 species, and 152 strains. The database provides a comprehensive repository of experimental and phenotypic data, covering behavioral, physiological, biochemical, molecular pathology, immunological, and imaging characteristics. Additionally, it incorporates application\u2010oriented data, such as drug evaluation outcomes. To enhance data accessibility and facilitate in\u2010depth analysis, ND\u2010AMD features three custom\u2010developed online tools: <jats:italic>Model Frequency Analysis, Comparative Phenotypic Analysis, and Bibliometric Analysis,<\/jats:italic> enabling systematic comparison and trend identification across models and experimental conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The centralized feature of ND\u2010AMD enables comparative analysis across different animal models, strains, and experimental conditions. It helps capture intricate interactions between biological systems at different levels, ranging from molecular mechanisms to cellular processes, neural networks, and behavioral outcomes. These models play a vital role as tools in replicating pathological conditions of neurological diseases. By offering users convenient, efficient, and intuitive access to data, ND\u2010AMD enables researchers to identify patterns, trends, and potential therapeutic targets that may not be apparent in individual studies.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cns.70411","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T02:50:24Z","timestamp":1747277424000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>ND<\/scp>\u2010<scp>AMD<\/scp>: A Web\u2010Based Database for Animal Models of Neurological Disease With Analysis Tools"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5874-8263","authenticated-orcid":false,"given":"Yue","family":"Wu","sequence":"first","affiliation":[{"name":"Institute of Laboratory Animal Sciences, CAMS &amp; PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College) Ministry of Education  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Li","sequence":"additional","affiliation":[{"name":"Nutshell Therapeutics (Shanghai) co., Ltd  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi\u2010Tong","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Laboratory Animal Sciences, CAMS &amp; PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College) Ministry of Education  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Laboratory Animal Sciences, CAMS &amp; PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College) Ministry of Education  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Gong","sequence":"additional","affiliation":[{"name":"Institute of Laboratory Animal Sciences, CAMS &amp; 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