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Grey-matter network disintegration as predictor of cognitive and motor function with aging.
Brain Struct Funct 2018; 223(5):2475-2487BS

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.

Authors+Show Affiliations

Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria. marisa.koini@medunigraz.at.Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany.Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany.Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. Institute of Psychology, Leiden University, Leiden, The Netherlands.Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria.Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria.Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria.Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036, Graz, Austria.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29511859

Citation

Koini, Marisa, et al. "Grey-matter Network Disintegration as Predictor of Cognitive and Motor Function With Aging." Brain Structure & Function, vol. 223, no. 5, 2018, pp. 2475-2487.
Koini M, Duering M, Gesierich BG, et al. Grey-matter network disintegration as predictor of cognitive and motor function with aging. Brain Struct Funct. 2018;223(5):2475-2487.
Koini, M., Duering, M., Gesierich, B. G., Rombouts, S. A. R. B., Ropele, S., Wagner, F., ... Schmidt, R. (2018). Grey-matter network disintegration as predictor of cognitive and motor function with aging. Brain Structure & Function, 223(5), pp. 2475-2487. doi:10.1007/s00429-018-1642-0.
Koini M, et al. Grey-matter Network Disintegration as Predictor of Cognitive and Motor Function With Aging. Brain Struct Funct. 2018;223(5):2475-2487. PubMed PMID: 29511859.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Grey-matter network disintegration as predictor of cognitive and motor function with aging. AU - Koini,Marisa, AU - Duering,Marco, AU - Gesierich,Benno G, AU - Rombouts,Serge A R B, AU - Ropele,Stefan, AU - Wagner,Fabian, AU - Enzinger,Christian, AU - Schmidt,Reinhold, Y1 - 2018/03/06/ PY - 2017/08/18/received PY - 2018/02/28/accepted PY - 2018/3/8/pubmed PY - 2019/2/28/medline PY - 2018/3/8/entrez KW - Aging KW - Cognition KW - Fine motor skills KW - Grey-matter atrophy KW - Structural covariance networks SP - 2475 EP - 2487 JF - Brain structure & function JO - Brain Struct Funct VL - 223 IS - 5 N2 - 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. SN - 1863-2661 UR - https://www.unboundmedicine.com/medline/citation/29511859/Grey_matter_network_disintegration_as_predictor_of_cognitive_and_motor_function_with_aging_ L2 - https://dx.doi.org/10.1007/s00429-018-1642-0 DB - PRIME DP - Unbound Medicine ER -