Cerebral Cortex: Using grey matter and amyloid data to study multiple linker changes in Alzheimer's disease

Alzheimer's disease (AD) is a slowly evolving neurodegenerative disorder that typically begins with an inability to form new memories and progresses to widespread cognitive deficits

To capture their interactions, Anna Canal-Garcia et al.

The study included 135 cognitively normal (CN) individuals without amyloid-β pathology (Aβ−), as well as 67 CN, 179 mild cognitive impairment (MCI) patients and 132 Alzheimer's Aβ Pathology (Aβ+) AD Dementia Patients by Neuroimaging Program

This study found extensive variation in overlapping linkage strength and overlapping linkages on Aβ-positive groups

The difference in node overlap strength was statistically significant

Multiplex brain centers were altered in both MCI Aβ+ and AD Aβ+ patients, and multiplex brain centers were reorganized in MCI Aβ+ patients

Each group has multiple brain modules

There were significant differences in the degree of node overlap between groups

There were significant differences in the multiple participation coefficients of nodes between groups

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Although these results may seem complicated, since multiple analyses have been applied to only a few studies of AD, they can be summarized as follows: Overlapping connectivity strength and extent overlap detect changes in all stages of AD, while other indicators have an impact on the occurrence of different disease stages.

original source

Anna Canal-Garcia, Emiliano Gómez-Ruiz, Mite Mijalkov, Yu-Wei Chang, Giovanni Volpe, Joana B Pereira, Alzheimer's Disease Neuroimaging Initiative, Multiplex connectome changes across the alzheimer's disease spectrum using gray matter and amyloid data, Cerebral Cortex, Volume 32 , Issue 16, 15 August 2022, Pages 3501–3515, https://doi.

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