Journal article
Influence of age and cognitive performance on resting-state brain networks of older adults in a population-based cohort.
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Jockwitz C
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; C. & O. Vogt Institute for Brain Research, Heinrich Heine University, Düsseldorf, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany; JARA-Brain, Jülich-Aachen Research Alliance, Jülich, Germany.
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Caspers S
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; C. & O. Vogt Institute for Brain Research, Heinrich Heine University, Düsseldorf, Germany; JARA-Brain, Jülich-Aachen Research Alliance, Jülich, Germany. Electronic address: svenja.caspers@hhu.de.
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Lux S
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany.
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Eickhoff SB
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; Institute Clinical Neuroscience and Medical Psychology, University of Düsseldorf, Düsseldorf, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
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Jütten K
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany.
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Lenzen S
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany.
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Moebus S
Heinz Nixdorf Recall Study, Institute of Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
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Pundt N
Heinz Nixdorf Recall Study, Institute of Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
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Reid A
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany.
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Hoffstaedter F
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; Institute Clinical Neuroscience and Medical Psychology, University of Düsseldorf, Düsseldorf, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
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Jöckel KH
Heinz Nixdorf Recall Study, Institute of Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
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Erbel R
Heinz Nixdorf Recall Study, Institute of Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
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Cichon S
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany; Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Division of Medical Genetics, University Hospital Basel, Basel, Switzerland.
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Nöthen MM
Institute of Human Genetics, University of Bonn, Bonn, Germany; Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.
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Shah NJ
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; JARA-Brain, Jülich-Aachen Research Alliance, Jülich, Germany; Department of Neurology, RWTH Aachen University, Aachen, Germany.
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Zilles K
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany; JARA-Brain, Jülich-Aachen Research Alliance, Jülich, Germany.
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Amunts K
Institute of Neuroscience and Medicine (INM-1,4), Research Centre Jülich, Jülich, Germany; C. & O. Vogt Institute for Brain Research, Heinrich Heine University, Düsseldorf, Germany; JARA-Brain, Jülich-Aachen Research Alliance, Jülich, Germany.
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Published in:
- Cortex; a journal devoted to the study of the nervous system and behavior. - 2017
English
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.
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Language
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Open access status
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closed
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Identifiers
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Persistent URL
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https://sonar.ch/global/documents/299296
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