Working memory network plasticity after exercise intervention detected by task and resting-state functional MRI

2021 ◽  
pp. 1-12
Author(s):  
Lina Zhu ◽  
Xuan Xiong ◽  
Xiaoxiao Dong ◽  
Yi Zhao ◽  
Adam Kawczyński ◽  
...  
2021 ◽  
Author(s):  
Adeline Jabès ◽  
Giuliana Klencklen ◽  
Paolo Ruggeri ◽  
Christoph M. Michel ◽  
Pamela Banta Lavenex ◽  
...  

AbstractAlterations of resting-state EEG microstates have been associated with various neurological disorders and behavioral states. Interestingly, age-related differences in EEG microstate organization have also been reported, and it has been suggested that resting-state EEG activity may predict cognitive capacities in healthy individuals across the lifespan. In this exploratory study, we performed a microstate analysis of resting-state brain activity and tested allocentric spatial working memory performance in healthy adult individuals: twenty 25–30-year-olds and twenty-five 64–75-year-olds. We found a lower spatial working memory performance in older adults, as well as age-related differences in the five EEG microstate maps A, B, C, C′ and D, but especially in microstate maps C and C′. These two maps have been linked to neuronal activity in the frontal and parietal brain regions which are associated with working memory and attention, cognitive functions that have been shown to be sensitive to aging. Older adults exhibited lower global explained variance and occurrence of maps C and C′. Moreover, although there was a higher probability to transition from any map towards maps C, C′ and D in young and older adults, this probability was lower in older adults. Finally, although age-related differences in resting-state EEG microstates paralleled differences in allocentric spatial working memory performance, we found no evidence that any individual or combination of resting-state EEG microstate parameter(s) could reliably predict individual spatial working memory performance. Whether the temporal dynamics of EEG microstates may be used to assess healthy cognitive aging from resting-state brain activity requires further investigation.


2005 ◽  
Vol 35 (7) ◽  
pp. 1019-1030 ◽  
Author(s):  
HAROLD W. KOENIGSBERG ◽  
MONTE S. BUCHSBAUM ◽  
BRADLEY R. BUCHSBAUM ◽  
JASON S. SCHNEIDERMAN ◽  
CHEUK Y. TANG ◽  
...  

NeuroImage ◽  
2004 ◽  
Vol 21 (3) ◽  
pp. 1000-1008 ◽  
Author(s):  
Xingchang Wei ◽  
Seung-Schik Yoo ◽  
Chandlee C. Dickey ◽  
Kelly H. Zou ◽  
Charles R.G. Guttmann ◽  
...  

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