High-resolution functional connectivity of the default mode network in young adults with down syndrome

Author(s):  
Katherine A. Koenig ◽  
Lynn M. Bekris ◽  
Stephen Ruedrich ◽  
Grace E. Weber ◽  
Maria Khrestian ◽  
...  
2016 ◽  
Vol 11 (3) ◽  
pp. 818-828 ◽  
Author(s):  
Yun Yan Su ◽  
Xiao Dong Zhang ◽  
U. Joseph Schoepf ◽  
Akos Varga-Szemes ◽  
Andrew Stubenrauch ◽  
...  

2021 ◽  
pp. 1-13
Author(s):  
Natalie D. DiProspero ◽  
David B. Keator ◽  
Michael Phelan ◽  
Theo G.M. van Erp ◽  
Eric Doran ◽  
...  

Background: Down syndrome (DS) is associated with increased risk for Alzheimer’s disease (AD). In neurotypical individuals, clinical AD is preceded by reduced resting state functional connectivity in the default mode network (DMN), but it is unknown whether changes in DMN connectivity predict clinical onset of AD in DS. Objective: Does lower DMN functional connectivity predict clinical onset of AD and cognitive decline in people with DS? Methods: Resting state functional MRI (rsfMRI), longitudinal neuropsychological, and clinical assessment data were collected on 15 nondemented people with DS (mean age = 51.66 years, SD = 5.34 years, range = 42-59 years) over four years, during which 4 transitioned to dementia. Amyloid-β (Aβ) PET data were acquired on 13 of the 15 participants. Resting state fMRI, neuropsychological, and clinical assessment data were also acquired on an independent, slightly younger unimpaired sample of 14 nondemented people with DS (mean age = 44.63 years, SD = 7.99 years, range = 38–61 years). Results: Lower functional connectivity between long-range but not short-range DMN regions predicts AD diagnosis and cognitive decline in people with DS. Aβ accumulation in the inferior parietal cortex is associated with lower regional DMN functional connectivity. Conclusion: Reduction of long-range DMN connectivity is a potential biomarker for AD in people with DS that precedes and predicts clinical conversion.


Author(s):  
Maria Carbó-Carreté ◽  
Cristina Cañete-Massé ◽  
María D. Figueroa-Jiménez ◽  
Maribel Peró-Cebollero ◽  
Joan Guàrdia-Olmos

Background: The study of the Default Mode Network (DMN) has been shown to be sensitive for the recognition of connectivity patterns between the brain areas involved in this network. It has been hypothesized that the connectivity patterns in this network are related to different cognitive states. Purpose: In this study, we explored the relationship that can be estimated between these functional connectivity patterns of the DMN with the Quality-of-Life levels in people with Down syndrome, since no relevant data has been provided for this population. Methods: 22 young people with Down syndrome were evaluated; they were given a large evaluation battery that included the Spanish adaptation of the Personal Outcome Scale (POS). Likewise, fMRI sequences were obtained on a 3T resonator. For each subject, the DMN functional connectivity network was studied by estimating the indicators of complexity networks. The variability obtained in the Down syndrome group was studied by taking into account the Quality-of-Life distribution. Results: There is a negative correlation between the complexity of the connectivity networks and the Quality-of-Life values. Conclusions: The results are interpreted as evidence that, even at rest, connectivity levels are detected as already shown in the community population and that less intense connectivity levels correlate with higher levels of Quality of Life in people with Down syndrome.


2021 ◽  
Author(s):  
Hannah S. Heinrichs ◽  
Frauke Beyer ◽  
Evelyn Medawar ◽  
Kristin Prehn ◽  
Jürgen Ordemann ◽  
...  

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