# “Neuropathological function estimations”: a user-friendly module for analyzing neural activity in neurological disorders

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

PMC · DOI: 10.1093/bioadv/vbaf083 · Bioinformatics Advances · 2025-04-09

## TL;DR

A new software tool helps researchers study brain activity changes in neurological disorders without needing programming skills.

## Contribution

The tool introduces a user-friendly platform for generating personalized brain models and analyzing neuropathological influences.

## Key findings

- The software was validated using Alzheimer’s disease data to study neuronal excitability.
- It provides insights into disease mechanisms and supports personalized therapeutic research.

## Abstract

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.

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 in vivo neural activity and contribute to the development of personalized therapeutic interventions.

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.

## Linked entities

- **Diseases:** Alzheimer’s disease (MONDO:0004975)

## Full-text entities

- **Diseases:** neurological disorders (MESH:D009461), Alzheimer's disease (MESH:D000544)

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12017617/full.md

## References

11 references — full list in the complete paper: https://tomesphere.com/paper/PMC12017617/full.md

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Source: https://tomesphere.com/paper/PMC12017617