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Published on: February 14, 2014
New Graphs at the braingraph.org Website for Studying the Aging Brain Circuitry
Bálint Varga1, Vince Grolmusz1,2
1PIT Bioinformatics Group, Eötvös University, H-1117 Budapest, Hungary.
Researchers have added new human brain connectome data from healthy and demented individuals aged 42-95 to braingraph.org. This resource, derived from OASIS-3, aids in understanding brain aging and Alzheimer's disease progression.
Area of Science:
- Neuroscience
- Medical Imaging
- Computational Biology
Background:
- Human brain connectomes are crucial for understanding brain structure and function.
- Previous research has generated thousands of connectomes from young, healthy subjects.
- The braingraph.org site serves as a repository for these valuable datasets.
Purpose of the Study:
- To introduce a new dataset of human connectomes from the OASIS-3 dataset.
- To include brain connectomes from a wide age range (42-95 years) encompassing healthy and demented individuals.
- To expand the braingraph.org resource for studying brain aging and neurodegenerative diseases.
Main Methods:
- Utilized structural (diffusion) MRI data from the OASIS-3 dataset.
- Processed diffusion MRI data using the Connectome Mapper Toolkit v.3.1.
- Generated and deposited human brain connectomes for analysis.
Main Results:
- A new collection of brain connectomes from healthy and demented subjects is now available on braingraph.org.
- The dataset covers a broad age spectrum, facilitating studies on aging-related brain changes.
- The data includes individuals with varying stages of Alzheimer's disease.
Conclusions:
- The new braingraph.org addition provides a valuable resource for neuroscience research.
- This dataset will aid in understanding the aging brain circuitry in both healthy and diseased states.
- Researchers can leverage this data to investigate the neural underpinnings of cognitive decline and Alzheimer's disease.
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