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“神经病理学功能评估”:一个用于分析神经疾病中神经活动的用户友好型模块。

"Neuropathological function estimations": a user-friendly module for analyzing neural activity in neurological disorders.

作者信息

Panait Alessia M, Kim Alex, Rodriguez-Rojas Rafael, Sanchez-Rodriguez Lazaro M, Iturria-Medina Yasser

机构信息

Enriched Health Sciences Program, Dawson College, Montreal, H3Z 1A4, Canada.

Psychology Program, Dawson College, Montreal, H3Z 1A4, Canada.

出版信息

Bioinform Adv. 2025 Apr 9;5(1):vbaf083. doi: 10.1093/bioadv/vbaf083. eCollection 2025.

Abstract

MOTIVATION

This work introduces the Neuropathological Function Estimations software, designed to facilitate the study of neuronal activity alterations in neurological disorders without requiring programming expertise. With its user-friendly interface, researchers can input various data types to generate subject-specific functional brain models and decode neuropathological influences.

RESULTS

The software's capabilities are validated through its application to Alzheimer's disease, providing insights into neuronal excitability and disease mechanisms. This tool has the potential to enhance our understanding of the biological basis of neural activity and contribute to the development of personalized therapeutic interventions.

AVAILABILITY AND IMPLEMENTATION

The latest version of the software and support are freely available for noncommercial users through the Neuroinformatics for Personalized Medicine Lab (NeuroPM Lab) website at McGill University (https://www.neuropm-lab.com/neuropm-box.html). The software is maintained by the NeuroPM team. This publication is linked to version 1.0.

摘要

动机

本研究介绍了神经病理学功能评估软件,该软件旨在促进对神经疾病中神经元活动改变的研究,而无需编程专业知识。凭借其用户友好的界面,研究人员可以输入各种数据类型,以生成特定个体的功能性脑模型并解码神经病理学影响。

结果

该软件的功能通过其在阿尔茨海默病中的应用得到验证,为神经元兴奋性和疾病机制提供了见解。这个工具有可能增强我们对神经活动生物学基础的理解,并有助于个性化治疗干预措施的开发。

可用性与实施

该软件的最新版本及支持可通过麦吉尔大学的个性化医学神经信息学实验室(NeuroPM Lab)网站(https://www.neuropm-lab.com/neuropm-box.html)免费提供给非商业用户。该软件由NeuroPM团队维护。本出版物与1.0版本相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2c0/12017617/d92c1ca6bca4/vbaf083f1.jpg

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