P1-317: Small-world networks in mild cognitive impairment: Graph analysis of resting-state brain functional connectivity

2011 ◽  
Vol 7 ◽  
pp. S213-S213 ◽  
Author(s):  
Yi He ◽  
Jinhui Wang ◽  
Xin Yu ◽  
Yong He ◽  
Huali Wang
PLoS ONE ◽  
2010 ◽  
Vol 5 (11) ◽  
pp. e13788 ◽  
Author(s):  
Ernesto J. Sanz-Arigita ◽  
Menno M. Schoonheim ◽  
Jessica S. Damoiseaux ◽  
Serge A. R. B. Rombouts ◽  
Erik Maris ◽  
...  

2019 ◽  
Vol 9 (12) ◽  
pp. 350 ◽  
Author(s):  
Laia Farràs-Permanyer ◽  
Núria Mancho-Fora ◽  
Marc Montalà-Flaquer ◽  
Esteve Gudayol-Ferré ◽  
Geisa Bearitz Gallardo-Moreno ◽  
...  

Mild cognitive impairment is defined as greater cognitive decline than expected for a person at a particular age and is sometimes considered a stage between healthy aging and Alzheimer’s disease or other dementia syndromes. It is known that functional connectivity patterns change in people with this diagnosis. We studied functional connectivity patterns and functional segregation in a resting-state fMRI paradigm comparing 10 MCI patients and 10 healthy controls matched by education level, age and sex. Ninety ROIs from the automated anatomical labeling (AAL) atlas were selected for functional connectivity analysis. A correlation matrix was created for each group, and a third matrix with the correlation coefficient differences between the two matrices was created. Functional segregation was analyzed with the 3-cycle method, which is novel in studies of this topic. Finally, cluster analyses were also performed. Our results showed that the two correlation matrices were visually similar but had many differences related to different cognitive functions. Differences were especially apparent in the anterior default mode network (DMN), while the visual resting-state network (RSN) showed no differences between groups. Differences in connectivity patterns in the anterior DMN should be studied more extensively to fully understand its role in the differentiation of healthy aging and an MCI diagnosis.


2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Milap Nowrangi ◽  
Farah Naaz ◽  
Liuyi Chen ◽  
John D. Outen ◽  
Arnold Bakker ◽  
...  

2006 ◽  
Vol 14 (7S_Part_8) ◽  
pp. P448-P449
Author(s):  
Joanna Su Xian Chong ◽  
Hyemin Jang ◽  
Hee Jin Kim ◽  
Duk L. Na ◽  
Jae-Hong Lee ◽  
...  

2020 ◽  
Vol 20 (3) ◽  
pp. 200-212
Author(s):  
Núria Mancho-Fora ◽  
Marc Montalà-Flaquer ◽  
Laia Farràs-Permanyer ◽  
Daniel Zarabozo-Hurtado ◽  
Geisa Bearitz Gallardo-Moreno ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Yuxia Li ◽  
Xiaoni Wang ◽  
Yongqiu Li ◽  
Yu Sun ◽  
Can Sheng ◽  
...  

Individuals diagnosed with mild cognitive impairment (MCI) are at high risk of transition to Alzheimer’s disease (AD). However, little is known about functional characteristics of the conversion from MCI to AD. Resting-state functional magnetic resonance imaging was performed in 25 AD patients, 31 MCI patients, and 42 well-matched normal controls at baseline. Twenty-one of the 31 MCI patients converted to AD at approximately 24 months of follow-up. Functional connectivity strength (FCS) and seed-based functional connectivity analyses were used to assess the functional differences among the groups. Compared to controls, subjects with MCI and AD showed decreased FCS in the default-mode network and the occipital cortex. Importantly, the FCS of the left angular gyrus and middle occipital gyrus was significantly lower in MCI-converters as compared with MCI-nonconverters. Significantly decreased functional connectivity was found in MCI-converters compared to nonconverters between the left angular gyrus and bilateral inferior parietal lobules, dorsolateral prefrontal and lateral temporal cortices, and the left middle occipital gyrus and right middle occipital gyri. We demonstrated gradual but progressive functional changes during a median 2-year interval in patients converting from MCI to AD, which might serve as early indicators for the dysfunction and progression in the early stage of AD.


Sign in / Sign up

Export Citation Format

Share Document