| Title |
Grey-matter network disintegration as predictor of cognitive and motor function with aging
|
|---|---|
| Published in |
Brain Structure and Function, March 2018
|
| DOI | 10.1007/s00429-018-1642-0 |
| Pubmed ID | |
| Authors |
Marisa Koini, Marco Duering, Benno G. Gesierich, Serge A. R. B. Rombouts, Stefan Ropele, Fabian Wagner, Christian Enzinger, Reinhold Schmidt |
| Abstract |
Loss of grey-matter volume with advancing age affects the entire cortex. It has been suggested that atrophy occurs in a network-dependent manner with advancing age rather than in independent brain areas. The relationship between networks of structural covariance (SCN) disintegration and cognitive functioning during normal aging is not fully explored. We, therefore, aimed to (1) identify networks that lose GM integrity with advancing age, (2) investigate if age-related impairment of integrity in GM networks associates with cognitive function and decreasing fine motor skills (FMS), and (3) examine if GM disintegration is a mediator between age and cognition and FMS. T1-weighted scans of n = 257 participants (age range: 20-87) were used to identify GM networks using independent component analysis. Random forest analysis was implemented to examine the importance of network integrity as predictors of memory, executive functions, and FMS. The associations between GM disintegration, age and cognitive performance, and FMS were assessed using mediation analyses. Advancing age was associated with decreasing cognitive performance and FMS. Fourteen of 20 GM networks showed integrity changes with advancing age. Next to age and education, eight networks (fronto-parietal, fronto-occipital, temporal, limbic, secondary somatosensory, cuneal, sensorimotor network, and a cerebellar network) showed an association with cognition and FMS (up to 15.08%). GM networks partially mediated the effect between age and cognition and age and FMS. We confirm an age-related decline in cognitive functioning and FMS in non-demented community-dwelling subjects and showed that aging selectively affects the integrity of GM networks. The negative effect of age on cognition and FMS is associated with distinct GM networks and is partly mediated by their disintegration. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 18% |
| Student > Bachelor | 10 | 12% |
| Researcher | 10 | 12% |
| Student > Master | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 31 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 18 | 21% |
| Medicine and Dentistry | 11 | 13% |
| Neuroscience | 11 | 13% |
| Nursing and Health Professions | 4 | 5% |
| Sports and Recreations | 2 | 2% |
| Other | 3 | 4% |
| Unknown | 35 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2018.
All research outputs
#3,072,015
of 24,217,893 outputs
Outputs from Brain Structure and Function
#223
of 1,725 outputs
Outputs of similar age
#62,865
of 335,535 outputs
Outputs of similar age from Brain Structure and Function
#12
of 43 outputs
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