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For: Sun H, Paixao L, Oliva JT, Goparaju B, Carvalho DZ, van Leeuwen KG, Akeju O, Thomas RJ, Cash SS, Bianchi MT, Westover MB. Brain age from the electroencephalogram of sleep. Neurobiol Aging 2019;74:112-20. [PMID: 30448611 DOI: 10.1016/j.neurobiolaging.2018.10.016] [Cited by in Crossref: 29] [Cited by in F6Publishing: 21] [Article Influence: 7.3] [Reference Citation Analysis]
Number Citing Articles
1 Paixao L, Sikka P, Sun H, Jain A, Hogan J, Thomas R, Westover MB. Excess brain age in the sleep electroencephalogram predicts reduced life expectancy. Neurobiol Aging 2020;88:150-5. [PMID: 31932049 DOI: 10.1016/j.neurobiolaging.2019.12.015] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
2 de Chazal P, Sutherland K, Cistulli PA. Advanced polysomnographic analysis for OSA: A pathway to personalized management? Respirology 2020;25:251-8. [PMID: 31038827 DOI: 10.1111/resp.13564] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
3 Leone MJ, Sun H, Boutros CL, Liu L, Ye E, Sullivan L, Thomas RJ, Robbins GK, Mukerji SS, Westover MB. HIV Increases Sleep-based Brain Age Despite Antiretroviral Therapy. Sleep 2021:zsab058. [PMID: 33783511 DOI: 10.1093/sleep/zsab058] [Reference Citation Analysis]
4 Rosinvil T, Bouvier J, Dubé J, Lafrenière A, Bouchard M, Cyr-Cronier J, Gosselin N, Carrier J, Lina JM. Are age and sex effects on sleep slow waves only a matter of electroencephalogram amplitude? Sleep 2021;44:zsaa186. [PMID: 32929490 DOI: 10.1093/sleep/zsaa186] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Stevenson NJ, Oberdorfer L, Tataranno ML, Breakspear M, Colditz PB, de Vries LS, Benders MJNL, Klebermass-Schrehof K, Vanhatalo S, Roberts JA. Automated cot-side tracking of functional brain age in preterm infants. Ann Clin Transl Neurol 2020;7:891-902. [PMID: 32368863 DOI: 10.1002/acn3.51043] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
6 Hogan J, Sun H, Paixao L, Westmeijer M, Sikka P, Jin J, Tesh R, Cardoso M, Cash SS, Akeju O, Thomas R, Westover MB. Night-to-night variability of sleep electroencephalography-based brain age measurements. Clin Neurophysiol 2021;132:1-12. [PMID: 33248430 DOI: 10.1016/j.clinph.2020.09.029] [Reference Citation Analysis]
7 Pedemonte JC, Plummer GS, Chamadia S, Locascio JJ, Hahm E, Ethridge B, Gitlin J, Ibala R, Mekonnen J, Colon KM, Westover MB, D'Alessandro DA, Tolis G, Houle T, Shelton KT, Qu J, Akeju O. Electroencephalogram Burst-suppression during Cardiopulmonary Bypass in Elderly Patients Mediates Postoperative Delirium. Anesthesiology 2020;133:280-92. [PMID: 32349072 DOI: 10.1097/ALN.0000000000003328] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
8 Gialluisi A, Santoro A, Tirozzi A, Cerletti C, Donati MB, de Gaetano G, Franceschi C, Iacoviello L. Epidemiological and genetic overlap among biological aging clocks: New challenges in biogerontology. Ageing Res Rev 2021;72:101502. [PMID: 34700008 DOI: 10.1016/j.arr.2021.101502] [Reference Citation Analysis]
9 Didikoglu A, Maharani A, Tampubolon G, Canal MM, Payton A, Pendleton N. Longitudinal sleep efficiency in the elderly and its association with health. J Sleep Res 2020;29. [DOI: 10.1111/jsr.12898] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
10 Touchard C, Cartailler J, Levé C, Serrano J, Sabbagh D, Manquat E, Joachim J, Mateo J, Gayat E, Engemann D, Vallée F. Propofol Requirement and EEG Alpha Band Power During General Anesthesia Provide Complementary Views on Preoperative Cognitive Decline. Front Aging Neurosci 2020;12:593320. [PMID: 33328973 DOI: 10.3389/fnagi.2020.593320] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Engemann DA, Mellot A, Höchenberger R, Banville H, Sabbagh D, Gemein L, Ball T, Gramfort A. A reusable benchmark of brain-age prediction from M/EEG resting-state signals. Neuroimage 2022;:119521. [PMID: 35905809 DOI: 10.1016/j.neuroimage.2022.119521] [Reference Citation Analysis]
12 Singh NM, Harrod JB, Subramanian S, Robinson M, Chang K, Cetin-Karayumak S, Dalca AV, Eickhoff S, Fox M, Franke L, Golland P, Haehn D, Iglesias JE, O'Donnell LJ, Ou Y, Rathi Y, Siddiqi SH, Sun H, Westover MB, Whitfield-Gabrieli S, Gollub RL. How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 2022. [PMID: 35347570 DOI: 10.1007/s12021-022-09572-9] [Reference Citation Analysis]
13 Djonlagic I, Mariani S, Fitzpatrick AL, Van Der Klei VMGTH, Johnson DA, Wood AC, Seeman T, Nguyen HT, Prerau MJ, Luchsinger JA, Dzierzewski JM, Rapp SR, Tranah GJ, Yaffe K, Burdick KE, Stone KL, Redline S, Purcell SM. Macro and micro sleep architecture and cognitive performance in older adults. Nat Hum Behav 2021;5:123-45. [PMID: 33199858 DOI: 10.1038/s41562-020-00964-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
14 Muehlroth BE, Werkle-Bergner M. Understanding the interplay of sleep and aging: Methodological challenges. Psychophysiology 2020;57:e13523. [PMID: 31930523 DOI: 10.1111/psyp.13523] [Cited by in Crossref: 25] [Cited by in F6Publishing: 16] [Article Influence: 12.5] [Reference Citation Analysis]
15 Belur Nagaraj S, Kieneker LM, Pena MJ. Kidney Age Index (KAI): A novel age-related biomarker to estimate kidney function in patients with diabetic kidney disease using machine learning. Comput Methods Programs Biomed 2021;211:106434. [PMID: 34614453 DOI: 10.1016/j.cmpb.2021.106434] [Reference Citation Analysis]
16 Shetty AK, Kodali M, Upadhya R, Madhu LN. Emerging Anti-Aging Strategies - Scientific Basis and Efficacy. Aging Dis. 2018;9:1165-1184. [PMID: 30574426 DOI: 10.14336/ad.2018.1026] [Cited by in Crossref: 44] [Cited by in F6Publishing: 27] [Article Influence: 11.0] [Reference Citation Analysis]
17 Mullins AE, Kam K, Parekh A, Bubu OM, Osorio RS, Varga AW. Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer's disease Biomarkers, Cognition, Brain Structure and Neurophysiology. Neurobiol Dis 2020;145:105054. [PMID: 32860945 DOI: 10.1016/j.nbd.2020.105054] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
18 Ujma PP, Simor P, Steiger A, Dresler M, Bódizs R. Individual slow-wave morphology is a marker of aging. Neurobiology of Aging 2019;80:71-82. [DOI: 10.1016/j.neurobiolaging.2019.04.002] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 3.7] [Reference Citation Analysis]
19 Goldstein-Piekarski AN, Holt-Gosselin B, O'Hora K, Williams LM. Integrating sleep, neuroimaging, and computational approaches for precision psychiatry. Neuropsychopharmacology 2020;45:192-204. [PMID: 31426055 DOI: 10.1038/s41386-019-0483-8] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 3.3] [Reference Citation Analysis]
20 Watson NF, Fernandez CR. Artificial intelligence and sleep: Advancing sleep medicine. Sleep Med Rev 2021;59:101512. [PMID: 34166990 DOI: 10.1016/j.smrv.2021.101512] [Reference Citation Analysis]
21 Javaid H, Manor R, Kumarnsit E, Chatpun S. Decision Tree in Working Memory Task Effectively Characterizes EEG Signals in Healthy Aging Adults. IRBM 2021. [DOI: 10.1016/j.irbm.2021.12.001] [Reference Citation Analysis]
22 Xifra-Porxas A, Ghosh A, Mitsis GD, Boudrias MH. Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques. Neuroimage 2021;231:117822. [PMID: 33549751 DOI: 10.1016/j.neuroimage.2021.117822] [Reference Citation Analysis]
23 Ujma PP, Bódizs R, Dresler M. Sleep and intelligence: critical review and future directions. Current Opinion in Behavioral Sciences 2020;33:109-17. [DOI: 10.1016/j.cobeha.2020.01.009] [Cited by in Crossref: 9] [Cited by in F6Publishing: 1] [Article Influence: 4.5] [Reference Citation Analysis]
24 Leary EB, Watson KT, Ancoli-Israel S, Redline S, Yaffe K, Ravelo LA, Peppard PE, Zou J, Goodman SN, Mignot E, Stone KL. Association of Rapid Eye Movement Sleep With Mortality in Middle-aged and Older Adults. JAMA Neurol 2020;77:1241-51. [PMID: 32628261 DOI: 10.1001/jamaneurol.2020.2108] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 15.0] [Reference Citation Analysis]
25 Mitina M, Young S, Zhavoronkov A. Psychological aging, depression, and well-being. Aging (Albany NY) 2020;12:18765-77. [PMID: 32950973 DOI: 10.18632/aging.103880] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
26 Cole JH. Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors. Neurobiol Aging 2020;92:34-42. [PMID: 32380363 DOI: 10.1016/j.neurobiolaging.2020.03.014] [Cited by in Crossref: 36] [Cited by in F6Publishing: 32] [Article Influence: 18.0] [Reference Citation Analysis]
27 Brink-kjaer A, Leary EB, Sun H, Westover MB, Stone KL, Peppard PE, Lane NE, Cawthon PM, Redline S, Jennum P, Sorensen HBD, Mignot E. Age estimation from sleep studies using deep learning predicts life expectancy. npj Digit Med 2022;5. [DOI: 10.1038/s41746-022-00630-9] [Reference Citation Analysis]
28 Eggert T, Dorn H, Danker-Hopfe H. Nocturnal Brain Activity Differs with Age and Sex: Comparisons of Sleep EEG Power Spectra Between Young and Elderly Men, and Between 60-80-Year-Old Men and Women. Nat Sci Sleep 2021;13:1611-30. [PMID: 34584476 DOI: 10.2147/NSS.S327221] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Ye E, Sun H, Leone MJ, Paixao L, Thomas RJ, Lam AD, Westover MB. Association of Sleep Electroencephalography-Based Brain Age Index With Dementia. JAMA Netw Open 2020;3:e2017357. [PMID: 32986106 DOI: 10.1001/jamanetworkopen.2020.17357] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]