Literature DB >> 28192723

Influence of age and cognitive performance on resting-state brain networks of older adults in a population-based cohort.

Christiane Jockwitz1, Svenja Caspers2, Silke Lux3, Simon B Eickhoff4, Kerstin Jütten3, Stefan Lenzen3, Susanne Moebus5, Noreen Pundt5, Andrew Reid3, Felix Hoffstaedter4, Karl-Heinz Jöckel5, Raimund Erbel5, Sven Cichon6, Markus M Nöthen7, N Jon Shah8, Karl Zilles9, Katrin Amunts10.   

Abstract

Aging leads to global changes in brain structure and cognitive performance, with reorganization of functional brain networks. Importantly, these age-related changes show higher inter-individual variability in older subjects. To particularly address this variability is a challenge for studies on lifetime trajectories from early to late adulthood. The present study therefore had a dedicated focus on late adulthood to characterize the functional connectivity in resting-state networks (RSFC) in relation to age and cognitive performance in 711 older adults (55-85 years) from the 1000BRAINS project. The executive, left and right frontoparietal resting-state (RS) networks showed age-related increases in RSFC. However, older adults did not show changes in RSFC in the default mode network (DMN). Furthermore, lower performance in working memory (WM) was associated with higher RSFC in the left frontoparietal RS network. The results suggest age-related compensatory increases in RSFC which might help to maintain cognitive performance. Nevertheless, the negative correlation between RSFC and WM performance hints at limited cognitive reserve capacity in lower performing older adults. Consequently, the current results provide evidence for a functional reorganization of the brain until late adulthood that might additionally explain parts of the variability of cognitive abilities in older adults.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Aging; Cognition; Functional connectivity; ICA; Resting state

Mesh:

Year:  2017        PMID: 28192723     DOI: 10.1016/j.cortex.2017.01.008

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  20 in total

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4.  Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity.

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5.  Dopamine Adaptations as a Common Pathway for Neurocognitive Impairment in Diabetes and Obesity: A Neuropsychological Perspective.

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Journal:  Front Neurosci       Date:  2017-03-28       Impact factor: 4.677

6.  Descriptive data in different paper-based cognitive assessments in elderly from the community Stratification by age and education.

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Journal:  Dement Neuropsychol       Date:  2018 Apr-Jun

7.  Premorbid Alterations of Spontaneous Brain Activity in Elderly Patients With Early Post-operative Cognitive Dysfunction: A Pilot Resting-State Functional MRI Study.

Authors:  Xixue Zhang; Hui Li; Yating Lv; Zhenghong Zhu; Xiaoyong Shen; Qi Lu; Wei Wang; Zhaoxin Wang; Zhaoshun Jiang; Lvjun Yang; Guangwu Lin; Weidong Gu
Journal:  Front Neurol       Date:  2019-10-09       Impact factor: 4.003

8.  Cognitive training and brain stimulation in prodromal Alzheimer's disease (AD-Stim)-study protocol for a double-blind randomized controlled phase IIb (monocenter) trial.

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Journal:  Alzheimers Res Ther       Date:  2020-11-07       Impact factor: 6.982

9.  Neurocognitive Profiles of Older Adults with Working-Memory Dysfunction.

Authors:  Alireza Salami; Anna Rieckmann; Nina Karalija; Bárbara Avelar-Pereira; Micael Andersson; Anders Wåhlin; Goran Papenberg; Douglas D Garrett; Katrine Riklund; Martin Lövdén; Ulman Lindenberger; Lars Bäckman; Lars Nyberg
Journal:  Cereb Cortex       Date:  2018-07-01       Impact factor: 5.357

10.  Right-lateralized fronto-parietal network and phasic alertness in healthy aging.

Authors:  Marleen Haupt; Adriana L Ruiz-Rizzo; Christian Sorg; Kathrin Finke
Journal:  Sci Rep       Date:  2020-03-16       Impact factor: 4.379

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