Back to search

Article

Unraveling Alzheimer’s Disease: Investigating Dynamic Functional Connectivity in the Default Mode Network through DCC-GARCH Modeling

2024-06-03

Abstract excerpt

Alzheimer’s disease (AD) has a prolonged latent phase. Sensitive biomarkers of amyloid beta ( Aβ ), in the absence of clinical symptoms, offer opportunities for early detection and identification of patients at risk. Current Aβ biomarkers, such as CSF and PET biomarkers, are effective but face practical limitations due to high cost and limited availability. Recent blood plasma biomarkers, though accessible, stil...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3293b6f4-8f36-50c0-a485-80d9ad4ee64d
DOI
10.1101/2024.06.02.597071
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Unraveling Alzheimer’s Disease: Investigating Dynamic Functional Connectivity in the Default Mode Network through DCC-GARCH ModelingDOI 10.1101/2024.06.02.597071
Select a neighboring publication to make it the new centre.