Title |
Risk and protective factors for structural brain ageing in the eighth decade of life
|
---|---|
Published in |
Brain Structure and Function, April 2017
|
DOI | 10.1007/s00429-017-1414-2 |
Pubmed ID | |
Authors |
Stuart J. Ritchie, Elliot M. Tucker-Drob, Simon R. Cox, David Alexander Dickie, Maria del C. Valdés Hernández, Janie Corley, Natalie A. Royle, Paul Redmond, Susana Muñoz Maniega, Alison Pattie, Benjamin S. Aribisala, Adele M. Taylor, Toni-Kim Clarke, Alan J. Gow, John M. Starr, Mark E. Bastin, Joanna M. Wardlaw, Ian J. Deary |
Abstract |
Individuals differ markedly in brain structure, and in how this structure degenerates during ageing. In a large sample of human participants (baseline n = 731 at age 73 years; follow-up n = 488 at age 76 years), we estimated the magnitude of mean change and variability in changes in MRI measures of brain macrostructure (grey matter, white matter, and white matter hyperintensity volumes) and microstructure (fractional anisotropy and mean diffusivity from diffusion tensor MRI). All indices showed significant average change with age, with considerable heterogeneity in those changes. We then tested eleven socioeconomic, physical, health, cognitive, allostatic (inflammatory and metabolic), and genetic variables for their value in predicting these differences in changes. Many of these variables were significantly correlated with baseline brain structure, but few could account for significant portions of the heterogeneity in subsequent brain change. Physical fitness was an exception, being correlated both with brain level and changes. The results suggest that only a subset of correlates of brain structure are also predictive of differences in brain ageing. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 20 | 33% |
United States | 7 | 11% |
Germany | 4 | 7% |
Canada | 2 | 3% |
Bosnia and Herzegovina | 1 | 2% |
Mexico | 1 | 2% |
Turkey | 1 | 2% |
Russia | 1 | 2% |
Finland | 1 | 2% |
Other | 7 | 11% |
Unknown | 16 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 37 | 61% |
Scientists | 20 | 33% |
Practitioners (doctors, other healthcare professionals) | 3 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | <1% |
Unknown | 102 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 16% |
Student > Master | 13 | 13% |
Researcher | 12 | 12% |
Student > Doctoral Student | 11 | 11% |
Student > Bachelor | 9 | 9% |
Other | 15 | 15% |
Unknown | 27 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 23 | 22% |
Neuroscience | 14 | 14% |
Medicine and Dentistry | 11 | 11% |
Social Sciences | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 15 | 15% |
Unknown | 33 | 32% |