Brain age as a biomarker for pathological versus healthy ageing – a REMEMBER study

Fedele E. Anti-Amyloid Therapies for Alzheimer’s disease and the amyloid cascade hypothesis. Int J Mol Sci. 2023;24(19):14499.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kivipelto M, Mangialasche F, Ngandu T. Lifestyle interventions to prevent cognitive impairment, dementia and Alzheimer disease. Nat Rev Neurol. 2018;14(11):653–66.

Article  PubMed  Google Scholar 

Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020;396(10248):413–46.

Article  PubMed  PubMed Central  Google Scholar 

Habes M, Grothe MJ, Tunc B, McMillan C, Wolk DA, Davatzikos C. Disentangling heterogeneity in Alzheimer’s disease and related dementias using data-driven methods. Biol Psychiatry. 2020;88(1):70–82.

Article  PubMed  PubMed Central  Google Scholar 

Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, et al. Brain charts for the human lifespan. Nature. 2022;604(7906):525–33.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, et al. Publisher Correction: brain charts for the human lifespan. Nature. 2022;610(7931):E6.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Franz CE, Hatton SN, Elman JA, Warren T, Gillespie NA, Whitsel NA, et al. Lifestyle and the aging brain: interactive effects of modifiable lifestyle behaviors and cognitive ability in men from midlife to old age. Neurobiol Aging. 2021;108:80–9.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cole JH, Franke K. Predicting age using neuroimaging: innovative brain ageing biomarkers. Trends Neurosci. 2017;40(12):681–90.

Article  CAS  PubMed  Google Scholar 

de Lange AG, Anaturk M, Rokicki J, Han LKM, Franke K, Alnaes D, et al. Mind the gap: performance metric evaluation in brain-age prediction. Hum Brain Mapp. 2022;43(10):3113–29.

Article  PubMed  PubMed Central  Google Scholar 

More S, Antonopoulos G, Hoffstaedter F, Caspers J, Eickhoff SB, Patil KR, et al. Brain-age prediction: a systematic comparison of machine learning workflows. Neuroimage. 2023;270:119947.

Article  PubMed  Google Scholar 

Cole JH, Marioni RE, Harris SE, Deary IJ. Brain age and other bodily “ages”: implications for neuropsychiatry. Mol Psychiatry. 2019;24(2):266–81.

Article  PubMed  Google Scholar 

Korbmacher M, Gurholt TP, de Lange AG, van der Meer D, Beck D, Eikefjord E, et al. Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants. Front Psychol. 2023;14:1117732.

Article  PubMed  PubMed Central  Google Scholar 

Franke K, Gaser C. Ten years of BrainAGE as a neuroimaging biomarker of brain aging: what insights have we gained? Front Neurol. 2019;10:789.

Article  PubMed  PubMed Central  Google Scholar 

Cumplido-Mayoral I, Garcia-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex. Elife. 2023;12:e81067.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Liu W, Dong Q, Sun S, Shen J, Qian K, Hu B. Risk prediction of Alzheimer’s disease conversion in mild cognitive impaired population based on brain age estimation. IEEE Trans Neural Syst Rehabil Eng. 2023;31:2468–76.

Article  PubMed  Google Scholar 

Wrigglesworth J, Ward P, Harding IH, Nilaweera D, Wu Z, Woods RL, et al. Factors associated with brain ageing - a systematic review. BMC Neurol. 2021;21(1):312.

Article  PubMed  PubMed Central  Google Scholar 

Charisse D, Erus G, Pomponio R, Gorges M, Schmidt N, Schneider C, et al. Brain age and Alzheimer’s-like atrophy are domain-specific predictors of cognitive impairment in Parkinson’s disease. Neurobiol Aging. 2022;109:31–42.

Article  PubMed  Google Scholar 

Koutsouleris N, Davatzikos C, Borgwardt S, Gaser C, Bottlender R, Frodl T, et al. Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders. Schizophr Bull. 2014;40(5):1140–53.

Article  PubMed  Google Scholar 

Lee WH, Antoniades M, Schnack HG, Kahn RS, Frangou S. Brain age prediction in schizophrenia: does the choice of machine learning algorithm matter? Psychiatry Res Neuroimaging. 2021;310:111270.

Article  PubMed  PubMed Central  Google Scholar 

Zhu JD, Wu YF, Tsai SJ, Lin CP, Yang AC. Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age prediction: a multicenter study. Transl Psychiatry. 2023;13(1):82.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Denissen S, Engemann DA, De Cock A, Costers L, Baijot J, Laton J, et al. Brain age as a surrogate marker for cognitive performance in multiple sclerosis. Eur J Neurol. 2022;29(10):3039–49.

Article  PubMed  PubMed Central  Google Scholar 

Brier MR, Li Z, Ly M, Karim HT, Liang L, Du W, et al. “Brain age” predicts disability accumulation in multiple sclerosis. Ann Clin Transl Neurol. 2023;10(6):990–1001.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cole JH, Raffel J, Friede T, Eshaghi A, Brownlee WJ, Chard D, et al. Longitudinal assessment of multiple sclerosis with the brain-age paradigm. Ann Neurol. 2020;88(1):93–105.

Article  PubMed  Google Scholar 

Wagen AZ, Coath W, Keshavan A, James SN, Parker TD, Lane CA, et al. Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study. Lancet Healthy Longev. 2022;3(9):e607–16.

Article  PubMed  PubMed Central  Google Scholar 

Cole JH, Franke K, Cherbuin N. Quantification of the Biological Age of the Brain Using Neuroimaging. In: Moskalev, A. (eds) Biomarkers of Human Aging. Healthy Ageing and Longevity, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-24970-0_19.

Doering E, Antonopoulos G, Hoenig M, van Eimeren T, Daamen M, Boecker H, et al. MRI or (18)F-FDG PET for brain age gap estimation: links to cognition, pathology, and Alzheimer disease progression. J Nucl Med. 2024;65(1):147–55.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lee J, Burkett BJ, Min HK, Senjem ML, Lundt ES, Botha H, et al. Deep learning-based brain age prediction in normal aging and dementia. Nat Aging. 2022;2(5):412–24.

Article  PubMed  PubMed Central  Google Scholar 

Taylor A, Zhang F, Niu X, Heywood A, Stocks J, Feng G, et al. Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer’s disease related neurodegeneration. Neuroimage. 2022;263:119621.

Article  CAS  PubMed  Google Scholar 

Franke K, Ziegler G, Kloppel S, Gaser C, Alzheimer’s Disease Neuroimaging I. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. Neuroimage. 2010;50(3):883–92.

Article  PubMed  Google Scholar 

Franke K, Gaser C, Manor B, Novak V. Advanced BrainAGE in older adults with type 2 diabetes mellitus. Front Aging Neurosci. 2013;5:90.

Article  PubMed  PubMed Central  Google Scholar 

Gaser C, Franke K, Kloppel S, Koutsouleris N, Sauer H, Alzheimer’s Disease Neuroimaging I. BrainAGE in mild cognitive impaired patients: predicting the conversion to Alzheimer’s disease. PLoS One. 2013;8(6):e67346.

留言 (0)

沒有登入
gif