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For: Cox SR, Harris MA, Ritchie SJ, Buchanan CR, Valdés Hernández MC, Corley J, Taylor AM, Madole JW, Harris SE, Whalley HC, McIntosh AM, Russ TC, Bastin ME, Wardlaw JM, Deary IJ, Tucker-Drob EM. Three major dimensions of human brain cortical ageing in relation to cognitive decline across the eighth decade of life. Mol Psychiatry 2021. [PMID: 33398085 DOI: 10.1038/s41380-020-00975-1] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 14.0] [Reference Citation Analysis]
Number Citing Articles
1 Nyberg L, Andersson M, Lundquist A, Baaré WFC, Bartrés-faz D, Bertram L, Boraxbekk C, Brandmaier AM, Demnitz N, Drevon CA, Duezel S, Ebmeier KP, Ghisletta P, Henson R, Jensen DEA, Kievit RA, Knights E, Kühn S, Lindenberger U, Plachti A, Pudas S, Roe JM, Madsen KS, Solé-padullés C, Sommerer Y, Suri S, Zsoldos E, Fjell AM, Walhovd KB. Individual differences in brain aging: heterogeneity in cortico-hippocampal but not caudate atrophy rates. Cerebral Cortex 2022. [DOI: 10.1093/cercor/bhac400] [Reference Citation Analysis]
2 Frank D, Garo-Pascual M, Velasquez PAR, Frades B, Peled N, Zhang L, Strange BA. Brain structure and episodic learning rate in cognitively healthy ageing. Neuroimage 2022;263:119630. [PMID: 36113738 DOI: 10.1016/j.neuroimage.2022.119630] [Reference Citation Analysis]
3 Jiang R, Scheinost D, Zuo N, Wu J, Qi S, Liang Q, Zhi D, Luo N, Chung YC, Liu S, Xu Y, Sui J, Calhoun V. A Neuroimaging Signature of Cognitive Aging from Whole-Brain Functional Connectivity. Adv Sci (Weinh) 2022;:e2201621. [PMID: 35811304 DOI: 10.1002/advs.202201621] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Frank D, Garo-pascual M, Reyes Velasquez PA, Frades B, Peled N, Zhang L, Strange BA. Brain Structure and Episodic Learning Rate in Cognitively Healthy Ageing.. [DOI: 10.1101/2022.05.03.490431] [Reference Citation Analysis]
5 Corley J, Conte F, Harris SE, Taylor AM, Redmond P, Russ TC, Deary IJ, Cox SR. Predictors of longitudinal cognitive ageing from age 70 to 82 including APOE e4 status, early-life and lifestyle factors.. [DOI: 10.1101/2022.02.25.22271448] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Sisakhti M, Shafaghi L, Batouli SAH. The Volumetric Changes of the Pineal Gland with Age: An Atlas-based Structural Analysis. Experimental Aging Research. [DOI: 10.1080/0361073x.2022.2033593] [Reference Citation Analysis]
7 Tucker-Drob EM, de la Fuente J, Köhncke Y, Brandmaier AM, Nyberg L, Lindenberger U. A strong dependency between changes in fluid and crystallized abilities in human cognitive aging. Sci Adv 2022;8:eabj2422. [PMID: 35108051 DOI: 10.1126/sciadv.abj2422] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
8 Borne L, Lupton MK, Guo C, Mosley P, Adam R, Ceslis A, Bourgeat P, Fazlollahi A, Maruff P, Rowe CC, Masters CL, Fripp J, Robinson GA, Breakspear M, for the Prospective Imaging Study of Ageing, the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study. A snapshot of brain and cognition in healthy mid-life and older adults.. [DOI: 10.1101/2022.01.20.476706] [Reference Citation Analysis]
9 Xing XX. Globally Aging Cortical Spontaneous Activity Revealed by Multiple Metrics and Frequency Bands Using Resting-State Functional MRI. Front Aging Neurosci 2021;13:803436. [PMID: 35027890 DOI: 10.3389/fnagi.2021.803436] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
10 Cox SR, Deary IJ. Brain and cognitive ageing: The present, and some predictions (…about the future). Aging Brain 2022;2:100032. [DOI: 10.1016/j.nbas.2022.100032] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Johansson J, Wåhlin A, Lundquist A, Brandmaier AM, Lindenberger U, Nyberg L. Model of brain maintenance reveals specific change-change association between medial-temporal lobe integrity and episodic memory. Aging Brain 2022. [DOI: 10.1016/j.nbas.2021.100027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
12 Filgueira L, Larionov A, Lannes N. The Influence of Virus Infection on Microglia and Accelerated Brain Aging. Cells 2021;10:1836. [PMID: 34360004 DOI: 10.3390/cells10071836] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
13 Hamilton OKL, Cox SR, Okely JA, Conte F, Ballerini L, Bastin ME, Corley J, Taylor AM, Page D, Gow AJ, Muñoz Maniega S, Redmond P, Valdés-Hernández MDC, Wardlaw JM, Deary IJ. Cerebral small vessel disease burden and longitudinal cognitive decline from age 73 to 82: the Lothian Birth Cohort 1936. Transl Psychiatry 2021;11:376. [PMID: 34226517 DOI: 10.1038/s41398-021-01495-4] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
14 d'Arbeloff T, Elliott ML, Knodt AR, Sison M, Melzer TR, Ireland D, Ramrakha S, Poulton R, Caspi A, Moffitt TE, Hariri AR. Midlife Cardiovascular Fitness Is Reflected in the Brain's White Matter. Front Aging Neurosci 2021;13:652575. [PMID: 33889085 DOI: 10.3389/fnagi.2021.652575] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Hamilton O, Cox S, Okely J, Conte F, Ballerini L, Bastin M, Corley J, Taylor A, Page D, Gow A, Muñoz Maniega S, Redmond P, Valdés-hernández MDC, Wardlaw J, Deary I. Cerebral Small Vessel Disease Burden and Longitudinal Cognitive Decline from age 73 to 82: the Lothian Birth Cohort 1936.. [DOI: 10.1101/2021.03.28.21254499] [Reference Citation Analysis]
16 Hwang H, Cho G, Jin MJ, Ryoo JH, Choi Y, Lee SH. A knowledge-based multivariate statistical method for examining gene-brain-behavioral/cognitive relationships: Imaging genetics generalized structured component analysis. PLoS One 2021;16:e0247592. [PMID: 33690643 DOI: 10.1371/journal.pone.0247592] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
17 van Kesteren EJ, Kievit RA. Exploratory factor analysis with structured residuals for brain network data. Netw Neurosci 2021;5:1-27. [PMID: 33688604 DOI: 10.1162/netn_a_00162] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]