# AWG PD and Brain Aging Subgroup

**URL:** <https://awg.osdr.space/t/awg-pd-and-brain-aging-subgroup/2980>\
**Category:** Brain AWG Topics\
**Tags:** subgroup, parkinsons\
**Created:** [June 12, 2025, 10:09pm UTC](https://awg.osdr.space/t/awg-pd-and-brain-aging-subgroup/2980 "2025-06-12T22:09:19Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![angel](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/angel/32/49_2.png) [@angel](https://awg.osdr.space/u/angel)\
**Post date:** [June 12, 2025, 11:29pm UTC](https://awg.osdr.space/t/awg-pd-and-brain-aging-subgroup/2980/3 "2025-06-12T23:29:51Z")

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Hello, I developed a very accurate tool for identifying brain pathologies based on resting-state EEG. In fact, it works very well for Parkinson’s, and since it’s EEG, it’s very cheap, simple, and allows for highly precise identification of states in real time. This would make experiment design and data cross-referencing with other methods much easier. Here’s the link:

> [@Diagnosis of Alzheimer’s Disease, Parkinson’s Disease, Frontotemporal Dementia, and Paranoid Schizophrenia via Complex Network Analysis of EEG Data](https://awg.osdr.space/t/diagnosis-of-alzheimer-s-disease-parkinson-s-disease-frontotemporal-dementia-and-paranoid-schizophrenia-via-complex-network-analysis-of-eeg-data/2471):
>
> I’ve developed a method for diagnosing brain pathologies with high precision, achieving the following diagnostic accuracies: Paranoid Schizophrenia: 96% Alzheimer's Disease: 97% Frontotemporal Dementia: 96% Parkinson's Disease: 96% I hope you find it useful:

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