The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers
Open accessAbstract
The brain changes as we age and these changes are associated with functional deterioration and neurodegenerative disease. It is vital that we better understand individual differences in the brain ageing process; hence, techniques for making individualised predictions of brain ageing have been developed. We present evidence supporting the use of neuroimaging-based 'brain age' as a biomarker of an individual's brain health. Increasingly, research is showing how brain disease or poor physical health negatively impacts brain age. Importantly, recent evidence shows that having an 'older'-appearing brain relates to advanced physiological and cognitive ageing and the risk of mortality. We discuss controversies surrounding brain age and highlight emerging trends such as the use of multimodality neuroimaging and the employment of 'deep learning' methods.
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“In particular, deep learning methods show [344_TD$DIFF]considerable promise [9].”
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Hallmarks of Brain Aging: Adaptive and Pathological Modification by Metabolic States
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Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality
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Conceptualizing mental disorders as deviations from normative functioning
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Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265
Metadata
- Authors
- Cole, J. H., & Franke, K.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 40
- Issue
- 12
- Pages
- 681-690
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W2766141193
- Cited by
- 903
- References
- 16
- FWCI
- 7.50
- Type
- journal article
- Language
- en
- Open access
- green
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