Factors associated with brain ageing - a systematic review
Background Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and sy...
Uložené v:
| Vydané v: | BMC neurology Ročník 21; číslo 1; s. 1 - 23 |
|---|---|
| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
BioMed Central
12.08.2021
BioMed Central Ltd Springer Nature B.V BMC |
| Predmet: | |
| ISSN: | 1471-2377, 1471-2377 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Background
Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing.
Methods
This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible.
Results
A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer’s disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable.
Conclusion
This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer’s disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets.
Trial registration
A copy of the review protocol can be accessed through PROSPERO, registration number
CRD42020142817
. |
|---|---|
| AbstractList | Background
Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing.
Methods
This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible.
Results
A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer’s disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable.
Conclusion
This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer’s disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets.
Trial registration
A copy of the review protocol can be accessed through PROSPERO, registration number
CRD42020142817
. Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing.BACKGROUNDBrain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing.This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible.METHODSThis systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible.A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer's disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable.RESULTSA systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer's disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable.This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer's disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets.CONCLUSIONThis systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer's disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets.A copy of the review protocol can be accessed through PROSPERO, registration number CRD42020142817 .TRIAL REGISTRATIONA copy of the review protocol can be accessed through PROSPERO, registration number CRD42020142817 . Background Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing. Methods This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible. Results A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer's disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable. Conclusion This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer's disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets. Trial registration A copy of the review protocol can be accessed through PROSPERO, registration number CRD42020142817. Keywords: Brain ageing, BrainAGE, Predicted age difference, Age prediction, Neuroimaging, Machine learning, Biomarker, Age-related brain changes Background Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing. Methods This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible. Results A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer’s disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable. Conclusion This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer’s disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets. Trial registration A copy of the review protocol can be accessed through PROSPERO, registration number CRD42020142817. Abstract Background Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing. Methods This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible. Results A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer’s disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable. Conclusion This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer’s disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets. Trial registration A copy of the review protocol can be accessed through PROSPERO, registration number CRD42020142817 . Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a sign of age-related brain changes, or commonly referred to as brain ageing. The aim of this systematic review is to identify and synthesize the evidence for an association between lifestyle, health factors and diseases in adult populations, with brain ageing. This systematic review was undertaken in accordance with the PRISMA guidelines. A systematic search of Embase and Medline was conducted to identify relevant articles using search terms relating to the prediction of age from neuroimaging data or brain ageing. The tables of two recent review papers on brain ageing were also examined to identify additional articles. Studies were limited to adult humans (aged 18 years and above), from clinical or general populations. Exposures and study design of all types were also considered eligible. A systematic search identified 52 studies, which examined brain ageing in clinical and community dwelling adults (mean age between 21 to 78 years, ~ 37% were female). Most research came from studies of individuals diagnosed with schizophrenia or Alzheimer's disease, or healthy populations that were assessed cognitively. From these studies, psychiatric and neurologic diseases were most commonly associated with accelerated brain ageing, though not all studies drew the same conclusions. Evidence for all other exposures is nascent, and relatively inconsistent. Heterogenous methodologies, or methods of outcome ascertainment, were partly accountable. This systematic review summarised the current evidence for an association between genetic, lifestyle, health, or diseases and brain ageing. Overall there is good evidence to suggest schizophrenia and Alzheimer's disease are associated with accelerated brain ageing. Evidence for all other exposures was mixed or limited. This was mostly due to a lack of independent replication, and inconsistency across studies that were primarily cross sectional in nature. Future research efforts should focus on replicating current findings, using prospective datasets. |
| ArticleNumber | 312 |
| Audience | Academic |
| Author | Ward, Phillip Woods, Robyn L. Ryan, Joanne Nilaweera, Dinuli Wu, Zimu Harding, Ian H. Wrigglesworth, Jo |
| Author_xml | – sequence: 1 givenname: Jo surname: Wrigglesworth fullname: Wrigglesworth, Jo organization: School of Public Health and Preventive Medicine, Monash University – sequence: 2 givenname: Phillip surname: Ward fullname: Ward, Phillip organization: Monash Biomedical Imaging, Monash University, Turner Institute for Brain and Mental Health, Monash University, Australian Research Council Centre of Excellence for Integrative Brain Function – sequence: 3 givenname: Ian H. surname: Harding fullname: Harding, Ian H. organization: Monash Biomedical Imaging, Monash University, Department of Neuroscience, Central Clinical School, Monash University – sequence: 4 givenname: Dinuli surname: Nilaweera fullname: Nilaweera, Dinuli organization: School of Public Health and Preventive Medicine, Monash University – sequence: 5 givenname: Zimu surname: Wu fullname: Wu, Zimu organization: School of Public Health and Preventive Medicine, Monash University – sequence: 6 givenname: Robyn L. surname: Woods fullname: Woods, Robyn L. organization: School of Public Health and Preventive Medicine, Monash University – sequence: 7 givenname: Joanne orcidid: 0000-0002-7039-6325 surname: Ryan fullname: Ryan, Joanne email: joanne.ryan@monash.edu organization: School of Public Health and Preventive Medicine, Monash University |
| BookMark | eNp9Uk1rFTEUDVKxH_oHXA24cTM135NxIZRitVBwo-twJx_TPOYlNZnX0n9vplOpr0gJIZebc07uvTnH6CCm6BB6T_ApIUp-KoQqxVpMSd2MkZa_QkeEd6SlrOsO_okP0XEpG4xJpzh5gw4ZZ4oz2R-hzxdg5pRLA6UkE2B2trkL83UzZAixgdGFODZtA025L7PbwhxMk91tcHdv0WsPU3HvHs8T9Ovi68_z7-3Vj2-X52dXrRGKzy2V3ihlB0kFV44OtDMD76E3WHRWce6xocoRChSUkN5CNwhDJB1cR5kaCDtBl6uuTbDRNzlsId_rBEE_JFIeNeRa1uQ098oSyjtsFXBiTe8ls2LAxveSAsiq9WXVutkNW2eNi3OGaU90_yaGaz2mW62Y6AVfivn4KJDT750rs96GYtw0QXRpVzQVknAlGcEV-uEZdJN2OdZRLSgqsSBYPKFGqA2E6FN91yyi-kzWCWAqe1VRp_9B1WXdNphqCx9qfo-gVoLJqZTsvDZhrp-XlrbCpAnWi4f06iFdPaQfPKR5pdJn1L_jeZHEVlKp4Di6_NTsC6w_--LXAw |
| CitedBy_id | crossref_primary_10_7554_eLife_97036_3 crossref_primary_10_1002_adbi_202400814 crossref_primary_10_3390_jimaging9120271 crossref_primary_10_1016_j_nicl_2025_103881 crossref_primary_10_1038_s41380_023_02087_y crossref_primary_10_1111_pcn_13848 crossref_primary_10_3390_cells12030432 crossref_primary_10_7554_eLife_97036 crossref_primary_10_3389_fneur_2024_1406889 crossref_primary_10_1016_j_jcmg_2023_01_016 crossref_primary_10_1016_j_neucom_2024_127974 crossref_primary_10_1162_imag_a_00245 crossref_primary_10_3390_nu17071215 crossref_primary_10_1097_HJH_0000000000003553 crossref_primary_10_1186_s12876_024_03386_6 crossref_primary_10_1002_hbm_26312 crossref_primary_10_1016_j_ynirp_2025_100277 crossref_primary_10_3390_cells14020143 crossref_primary_10_1016_j_heares_2024_109135 crossref_primary_10_1002_osi2_1216 crossref_primary_10_1016_j_archger_2025_105830 crossref_primary_10_3389_fnins_2022_1036102 crossref_primary_10_3389_fneur_2022_960760 crossref_primary_10_1007_s00415_023_11931_8 crossref_primary_10_1126_sciadv_ads1560 crossref_primary_10_1016_j_jagp_2023_09_014 crossref_primary_10_1038_s41398_024_02822_1 crossref_primary_10_1016_j_neurobiolaging_2021_10_007 crossref_primary_10_1016_j_biochi_2025_06_001 crossref_primary_10_1016_j_biopha_2024_117277 crossref_primary_10_1016_j_jad_2023_02_047 crossref_primary_10_3390_ijms24129881 crossref_primary_10_1111_add_16621 crossref_primary_10_1140_epjs_s11734_023_01063_5 crossref_primary_10_1007_s12152_023_09531_4 crossref_primary_10_3390_ijms242417339 crossref_primary_10_1007_s12021_024_09694_2 crossref_primary_10_3390_ijms25137122 crossref_primary_10_3390_ijms252211859 crossref_primary_10_1002_adbi_202500358 crossref_primary_10_1017_S0033291724003490 crossref_primary_10_1016_j_neurobiolaging_2025_08_005 crossref_primary_10_1134_S2079057024600198 crossref_primary_10_1038_s41598_023_42354_0 crossref_primary_10_3390_cells11132023 crossref_primary_10_3389_fpsyt_2022_1010169 crossref_primary_10_1016_j_neurobiolaging_2022_10_007 crossref_primary_10_1016_j_neuroimage_2022_119210 crossref_primary_10_1016_j_arr_2022_101735 crossref_primary_10_1016_j_neuroimage_2022_119415 crossref_primary_10_34133_hds_0257 crossref_primary_10_1016_j_ynirp_2022_100149 crossref_primary_10_1186_s13195_024_01491_y crossref_primary_10_1016_j_jnha_2025_100630 crossref_primary_10_1016_j_neubiorev_2024_105581 crossref_primary_10_1038_s41593_024_01742_z crossref_primary_10_1111_jch_14559 crossref_primary_10_1002_hbm_70243 crossref_primary_10_3390_biomedicines11071999 crossref_primary_10_1038_s43588_024_00659_8 |
| Cites_doi | 10.1002/epi4.12060 10.1016/j.cell.2013.05.039 10.1097/QAI.0000000000001687 10.1016/j.neuroimage.2019.06.017 10.1038/s41380-020-0754-0 10.1002/hbm.24019 10.3389/fneur.2019.00450 10.1037/h0044509 10.1016/j.neuroimage.2017.07.059 10.1212/wnl.43.11.2412-a 10.1161/hs0901.095723 10.1016/j.neurobiolaging.2016.01.014 10.3389/fnhum.2020.00244 10.1098/rstb.1997.0162 10.1097/j.pain.0000000000001491 10.1016/j.neuroscience.2018.07.006 10.1371/journal.pone.0013098 10.1371/journal.pone.0157514 10.1038/s41386-018-0298-z 10.1002/hbm.20870 10.3389/fneur.2019.00789 10.1093/cercor/bhh032 10.3389/fnagi.2019.00294 10.1001/archgenpsychiatry.2011.88 10.1038/451644a 10.1038/nature14539 10.1016/j.inffus.2020.07.006 10.1016/j.neurobiolaging.2017.04.006 10.1016/j.jpsychires.2018.02.012 10.1016/j.neuroimage.2016.04.007 10.3389/fnagi.2013.00090 10.1016/j.tcb.2014.07.005 10.1001/jamaneurol.2014.4821 10.1212/01.WNL.0000154530.72969.11 10.1016/j.neuroimage.2010.01.005 10.1016/j.arr.2018.11.004 10.1002/ana.24367 10.1016/j.nicl.2017.09.014 10.1016/0022-3956(75)90026-6 10.1016/j.neuroscience.2013.11.026 10.1016/j.neubiorev.2017.01.002 10.1016/j.neuroimage.2014.05.018 10.1212/WNL.33.11.1444 10.1192/bjp.188.6.510 10.1016/j.neurobiolaging.2010.11.001 10.1016/j.exger.2006.09.006 10.1515/revneuro.2010.21.3.187 10.3233/JAD-180598 10.1006/nimg.2001.0786 10.1038/mp.2017.62 10.1073/pnas.0400266101 10.1093/geronj/36.4.428 10.1176/appi.ajp.2015.15070922 10.1024/1662-9647/a000074 10.1002/hbm.24312 10.1016/j.tins.2017.10.001 10.1093/cercor/bhs379 10.1136/jnnp.73.6.657 10.1016/j.neurobiolaging.2018.03.004 10.1523/JNEUROSCI.0391-14.2014 10.1007/978-3-030-24970-0_19 10.1016/j.pscychresns.2020.111173 10.1016/j.neurobiolaging.2014.03.034 10.1093/gerona/58.2.M176 10.1111/resp.13048 10.1016/S1474-4422(03)00304-1 10.1016/S0047-6374(01)00426-2 10.1002/ana.25746 10.1016/j.neuroimage.2016.11.005 10.1001/archneur.62.10.1545 10.1371/journal.pmed.1000097 10.1371/journal.pone.0067346 10.1017/S1041610296002578 10.3389/fnagi.2014.00094 10.1101/712851 10.1017/S0033291716003366 10.1212/WNL.0000000000003790 10.1016/j.nlm.2017.10.012 10.3389/fnagi.2019.00259 10.1089/neu.2017.5022 10.1093/geronj/47.3.P121 10.1016/j.neuroimage.2017.01.077 10.1016/j.eplepsyres.2017.03.007 10.3389/fnagi.2018.00074 10.1038/s41380-019-0446-9 10.1007/s00429-017-1491-2 10.1016/j.neuroimage.2015.04.036 10.1038/s41467-019-13163-9 10.1007/s11682-020-00260-3 10.1212/WNL.0b013e3181a82634 10.1038/s41380-018-0098-1 10.1016/j.neurobiolaging.2016.07.010 10.3389/fnins.2019.00548 10.1002/hbm.21088 10.3389/fnins.2014.00229 10.1016/j.cell.2005.01.027 10.1093/schbul/sbx172 10.1212/01.WNL.0000141850.47773.5F 10.1177/0004867419857814 10.1016/j.nicl.2019.101664 10.3389/fnagi.2019.00348 10.1016/j.nicl.2019.102159 10.1073/pnas.1815917116 10.1016/j.nicl.2020.102183 10.1007/s11481-014-9530-8 10.1038/s41398-017-0037-y 10.1016/j.neulet.2018.02.015 10.1016/S1474-4422(17)30470-2 10.1016/j.pscychresns.2017.05.006 10.1212/WNL.0000000000000964 10.1002/brb3.1020 10.1212/WNL.0b013e318233b33d 10.1016/S1474-4422(17)30084-4 10.1080/13554794.2020.1731553 10.1016/j.pscychresns.2019.06.001 10.1016/j.neubiorev.2013.01.017 10.1002/gps.2087 10.1002/hbm.23659 10.1093/schbul/sbt142 10.1016/j.nicl.2019.102033 10.1016/j.neurobiolaging.2020.03.014 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021 COPYRIGHT 2021 BioMed Central Ltd. 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2021. The Author(s). |
| Copyright_xml | – notice: The Author(s) 2021 – notice: COPYRIGHT 2021 BioMed Central Ltd. – notice: 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2021. The Author(s). |
| DBID | C6C AAYXX CITATION 3V. 7TK 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.1186/s12883-021-02331-4 |
| DatabaseName | Springer Nature OA Free Journals CrossRef ProQuest Central (Corporate) Neurosciences Abstracts ProQuest Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central (New) (NC LIVE) ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Open Access Full Text |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1471-2377 |
| EndPage | 23 |
| ExternalDocumentID | oai_doaj_org_article_4f8d12470d8a41dc9f63d5b0cf962aa6 PMC8359541 A672302698 10_1186_s12883_021_02331_4 |
| GeographicLocations | Australia |
| GeographicLocations_xml | – name: Australia |
| GrantInformation_xml | – fundername: Faculty of Medicine, Nursing and Health Sciences, Monash University funderid: http://dx.doi.org/10.13039/501100000991 – fundername: National Health and Medical Research Council grantid: 1106533; 1135727 funderid: http://dx.doi.org/10.13039/501100000925 – fundername: ; – fundername: ; grantid: 1106533; 1135727 |
| GroupedDBID | --- 0R~ 23N 2WC 53G 5VS 6J9 6PF 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML AAWTL ABDBF ABIVO ABUWG ACGFO ACGFS ACIHN ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EMB EMK EMOBN ESX F5P FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO IGS IHR INH INR ITC KQ8 M1P M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO PUEGO RBZ RNS ROL RPM RSV SMD SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XSB AAYXX AFFHD CITATION 3V. 7TK 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 5PM |
| ID | FETCH-LOGICAL-c584t-26fc88db62548e2b27cb49a9c057d844f0c28e12a2a856fda7b5c162be7238b13 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 71 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000685064400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1471-2377 |
| IngestDate | Fri Oct 03 12:24:15 EDT 2025 Tue Nov 04 01:57:20 EST 2025 Wed Oct 01 14:25:16 EDT 2025 Thu Oct 09 21:41:57 EDT 2025 Tue Nov 11 10:28:31 EST 2025 Tue Nov 04 17:54:50 EST 2025 Sat Nov 29 01:40:00 EST 2025 Tue Nov 18 22:15:22 EST 2025 Sat Sep 06 07:35:55 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Neuroimaging Biomarker Predicted age difference Machine learning Age prediction Age-related brain changes BrainAGE Brain ageing |
| Language | English |
| License | Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c584t-26fc88db62548e2b27cb49a9c057d844f0c28e12a2a856fda7b5c162be7238b13 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
| ORCID | 0000-0002-7039-6325 |
| OpenAccessLink | https://doaj.org/article/4f8d12470d8a41dc9f63d5b0cf962aa6 |
| PMID | 34384369 |
| PQID | 2562605105 |
| PQPubID | 44772 |
| PageCount | 23 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_4f8d12470d8a41dc9f63d5b0cf962aa6 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8359541 proquest_miscellaneous_2561486310 proquest_journals_2562605105 gale_infotracmisc_A672302698 gale_infotracacademiconefile_A672302698 crossref_citationtrail_10_1186_s12883_021_02331_4 crossref_primary_10_1186_s12883_021_02331_4 springer_journals_10_1186_s12883_021_02331_4 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-08-12 |
| PublicationDateYYYYMMDD | 2021-08-12 |
| PublicationDate_xml | – month: 08 year: 2021 text: 2021-08-12 day: 12 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | BMC neurology |
| PublicationTitleAbbrev | BMC Neurol |
| PublicationYear | 2021 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
| References | 2331_CR43 K Franke (2331_CR55) 2010; 50 I Nenadic (2331_CR49) 2017; 266 JH Cole (2331_CR51) 2015; 77 RC Mohs (2331_CR73) 1988; 24 GB Frisoni (2331_CR99) 2002; 73 TE Johnson (2331_CR130) 2006; 41 M Kolenic (2331_CR38) 2018; 99 2331_CR48 BA Jonsson (2331_CR32) 2019; 10 2331_CR47 2331_CR45 X Zhang (2331_CR111) 2020; 14 2331_CR53 2331_CR52 AF Fotenos (2331_CR11) 2005; 64 FM Gunning-Dixon (2331_CR16) 2009; 24 2331_CR50 W Wang (2331_CR89) 2018; 671 D Moher (2331_CR22) 2009; 6 L Rogenmoser (2331_CR29) 2018; 223 Y Cruz-Almeida (2331_CR83) 2019; 160 VM Anderson (2331_CR102) 2012; 33 SJ Colcombe (2331_CR118) 2003; 58 AM Fjell (2331_CR10) 2014; 24 S Bittner (2331_CR87) 2014; 9 K Franke (2331_CR20) 2019; 10 AM Azor (2331_CR26) 2019; 21 RC Mohs (2331_CR72) 1996; 8 2331_CR59 T Hajek (2331_CR41) 2019; 45 2331_CR58 2331_CR57 2331_CR60 CR Jack Jr (2331_CR110) 2015; 72 J Ashburner (2331_CR103) 2003; 2 HK Luckhoff (2331_CR115) 2020; 305 K Kanemoto (2331_CR80) 2017; 2 SM Plis (2331_CR128) 2014; 8 W Jagust (2331_CR114) 2005; 62 Organization WH (2331_CR4) 2002 CA Raji (2331_CR116) 2010; 31 JR Cockrell (2331_CR78) 1988; 24 BH Anderton (2331_CR5) 1997; 352 2331_CR69 S Shahab (2331_CR34) 2019; 44 R Takahashi (2331_CR106) 2011; 32 2331_CR71 KJ Mukamal (2331_CR122) 2001; 32 HG Schnack (2331_CR30) 2016; 173 J Underwood (2331_CR62) 2018; 78 JC Morris (2331_CR75) 1993; 43 JS Damoiseaux (2331_CR7) 2017; 160 JH Cole (2331_CR126) 2017; 163 OC Okonkwo (2331_CR121) 2014; 83 TJ Hedl (2331_CR86) 2019; 13 E Bora (2331_CR112) 2017; 47 I Beheshti (2331_CR68) 2018; 8 T Kuhn (2331_CR39) 2018; 39 E Luders (2331_CR36) 2018; 386 Y LeCun (2331_CR127) 2015; 521 TA Salthouse (2331_CR93) 1992; 47 2331_CR84 KI Erickson (2331_CR120) 2014; 35 Institute JB (2331_CR25) 2014 S Zhou (2331_CR123) 2017; 22 TT Le (2331_CR63) 2018; 3 Y Cai (2331_CR88) 2017; 145 HR Pardoe (2331_CR40) 2017; 133 B Besteher (2331_CR44) 2019; 290 JH Cole (2331_CR54) 2020; 92 J Steffener (2331_CR64) 2016; 40 M Guggenmos (2331_CR37) 2017; 7 F Liem (2331_CR67) 2017; 148 RC Mohs (2331_CR74) 1983; 19 N Adluru (2331_CR23) 2020; 26 2331_CR101 JH Cole (2331_CR18) 2019; 24 RR Savjani (2331_CR70) 2017; 34 A Curra (2331_CR95) 2019; 11 GG Fillenbaum (2331_CR77) 1981; 36 SJ Colcombe (2331_CR119) 2004; 101 2331_CR90 K Franke (2331_CR61) 2015; 115 M Malpetti (2331_CR105) 2017; 38 MF Folstein (2331_CR79) 1975; 12 J Xu (2331_CR108) 2000; 21 S Vieira (2331_CR17) 2017; 74 SN Hatton (2331_CR35) 2018; 67 BH Anderton (2331_CR6) 2002; 123 JH Cole (2331_CR124) 2017; 40 TB Kirkwood (2331_CR2) 2005; 120 AM Fjell (2331_CR15) 2010; 21 PD O'Brien (2331_CR117) 2017; 16 2331_CR21 N Koutsouleris (2331_CR66) 2014; 40 RG Steen (2331_CR97) 2006; 188 AJ Thompson (2331_CR81) 2018; 17 LA Grajauskas (2331_CR9) 2019; 49 JF Kurtzke (2331_CR76) 1983; 33 NE van Haren (2331_CR98) 2011; 68 D Gustafson (2331_CR113) 2004; 63 I Driscoll (2331_CR104) 2009; 72 2331_CR28 2331_CR33 MS Goyal (2331_CR65) 2019; 116 2331_CR31 D Wechsler (2331_CR94) 2008 CD Good (2331_CR109) 2001; 14 K Franke (2331_CR56) 2012; 25 TB Kirkwood (2331_CR3) 2008; 451 DT Jones (2331_CR100) 2011; 77 JH Cole (2331_CR82) 2017; 88 P Bonifazi (2331_CR14) 2018; 39 K Uludag (2331_CR125) 2014; 102 E Luders (2331_CR42) 2016; 134 JH Cole (2331_CR19) 2018; 23 L Ronan (2331_CR24) 2016; 47 LK Ferreira (2331_CR8) 2013; 37 AB Storsve (2331_CR12) 2014; 34 C Lopez-Otin (2331_CR1) 2013; 153 YD Zhang (2331_CR129) 2020; 64 DG Amen (2331_CR27) 2018; 65 IJ Bennett (2331_CR13) 2014; 276 Y Wang (2331_CR107) 2019; 11 DH Salat (2331_CR96) 2004; 14 B Frost (2331_CR85) 2015; 25 JH Cole (2331_CR46) 2017; 56 IM McDonough (2331_CR91) 2017; 16 RM Reitan (2331_CR92) 1955; 19 |
| References_xml | – volume: 2 start-page: 307 issue: 3 year: 2017 ident: 2331_CR80 publication-title: Epilepsia Open doi: 10.1002/epi4.12060 – volume: 153 start-page: 1194 issue: 6 year: 2013 ident: 2331_CR1 publication-title: Cell. doi: 10.1016/j.cell.2013.05.039 – volume: 78 start-page: 429 issue: 4 year: 2018 ident: 2331_CR62 publication-title: J Acquir Immune Defic Syndr doi: 10.1097/QAI.0000000000001687 – ident: 2331_CR53 doi: 10.1016/j.neuroimage.2019.06.017 – ident: 2331_CR43 doi: 10.1038/s41380-020-0754-0 – volume: 39 start-page: 2532 issue: 6 year: 2018 ident: 2331_CR39 publication-title: Hum Brain Mapp doi: 10.1002/hbm.24019 – ident: 2331_CR47 doi: 10.3389/fneur.2019.00450 – volume: 19 start-page: 393 issue: 5 year: 1955 ident: 2331_CR92 publication-title: J Consult Psychol doi: 10.1037/h0044509 – volume: 163 start-page: 115 year: 2017 ident: 2331_CR126 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2017.07.059 – volume: 43 start-page: 2412 issue: 11 year: 1993 ident: 2331_CR75 publication-title: Neurology. doi: 10.1212/wnl.43.11.2412-a – volume: 32 start-page: 1939 issue: 9 year: 2001 ident: 2331_CR122 publication-title: Stroke. doi: 10.1161/hs0901.095723 – volume: 40 start-page: 138 year: 2016 ident: 2331_CR64 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2016.01.014 – volume: 14 start-page: 244 year: 2020 ident: 2331_CR111 publication-title: Front Hum Neurosci doi: 10.3389/fnhum.2020.00244 – volume: 352 start-page: 1781 issue: 1363 year: 1997 ident: 2331_CR5 publication-title: Philos Trans R Soc Lond Ser B Biol Sci doi: 10.1098/rstb.1997.0162 – volume: 160 start-page: 1119 issue: 5 year: 2019 ident: 2331_CR83 publication-title: Pain. doi: 10.1097/j.pain.0000000000001491 – volume: 386 start-page: 309 year: 2018 ident: 2331_CR36 publication-title: Neuroscience. doi: 10.1016/j.neuroscience.2018.07.006 – ident: 2331_CR101 doi: 10.1371/journal.pone.0013098 – ident: 2331_CR33 doi: 10.1371/journal.pone.0157514 – volume: 44 start-page: 898 issue: 5 year: 2019 ident: 2331_CR34 publication-title: Neuropsychopharmacology. doi: 10.1038/s41386-018-0298-z – volume: 31 start-page: 353 issue: 3 year: 2010 ident: 2331_CR116 publication-title: Hum Brain Mapp doi: 10.1002/hbm.20870 – volume: 10 start-page: 789 year: 2019 ident: 2331_CR20 publication-title: Front Neurol doi: 10.3389/fneur.2019.00789 – volume: 14 start-page: 721 issue: 7 year: 2004 ident: 2331_CR96 publication-title: Cereb Cortex doi: 10.1093/cercor/bhh032 – volume: 11 start-page: 294 year: 2019 ident: 2331_CR95 publication-title: Front Aging Neurosci doi: 10.3389/fnagi.2019.00294 – volume: 68 start-page: 871 issue: 9 year: 2011 ident: 2331_CR98 publication-title: Arch Gen Psychiatry doi: 10.1001/archgenpsychiatry.2011.88 – volume: 451 start-page: 644 issue: 7179 year: 2008 ident: 2331_CR3 publication-title: Nature. doi: 10.1038/451644a – start-page: 1 volume-title: Wechsler adult intelligence scale–Fourth Edition (WAIS–IV) year: 2008 ident: 2331_CR94 – volume: 521 start-page: 436 issue: 7553 year: 2015 ident: 2331_CR127 publication-title: Nature. doi: 10.1038/nature14539 – volume: 64 start-page: 149 year: 2020 ident: 2331_CR129 publication-title: Inf Fusion doi: 10.1016/j.inffus.2020.07.006 – volume: 56 start-page: 41 year: 2017 ident: 2331_CR46 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2017.04.006 – volume: 99 start-page: 151 year: 2018 ident: 2331_CR38 publication-title: J Psychiatr Res doi: 10.1016/j.jpsychires.2018.02.012 – volume: 134 start-page: 508 year: 2016 ident: 2331_CR42 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2016.04.007 – ident: 2331_CR60 doi: 10.3389/fnagi.2013.00090 – volume: 25 start-page: 46 issue: 1 year: 2015 ident: 2331_CR85 publication-title: Trends Cell Biol doi: 10.1016/j.tcb.2014.07.005 – volume: 72 start-page: 511 issue: 5 year: 2015 ident: 2331_CR110 publication-title: JAMA Neurol doi: 10.1001/jamaneurol.2014.4821 – volume: 64 start-page: 1032 issue: 6 year: 2005 ident: 2331_CR11 publication-title: Neurology. doi: 10.1212/01.WNL.0000154530.72969.11 – volume: 3 start-page: 836 issue: 10 year: 2018 ident: 2331_CR63 publication-title: Biolog Psychiatry – volume: 50 start-page: 883 issue: 3 year: 2010 ident: 2331_CR55 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2010.01.005 – volume: 49 start-page: 67 year: 2019 ident: 2331_CR9 publication-title: Ageing Res Rev doi: 10.1016/j.arr.2018.11.004 – volume: 21 start-page: 112 issue: 1 year: 2000 ident: 2331_CR108 publication-title: AJNR Am J Neuroradiol – volume: 77 start-page: 571 issue: 4 year: 2015 ident: 2331_CR51 publication-title: Ann Neurol doi: 10.1002/ana.24367 – volume: 16 start-page: 659 year: 2017 ident: 2331_CR91 publication-title: Neuroimage: Clinical doi: 10.1016/j.nicl.2017.09.014 – volume: 12 start-page: 189 issue: 3 year: 1975 ident: 2331_CR79 publication-title: J Psychiatr Res doi: 10.1016/0022-3956(75)90026-6 – volume: 276 start-page: 187 year: 2014 ident: 2331_CR13 publication-title: Neuroscience. doi: 10.1016/j.neuroscience.2013.11.026 – volume: 74 start-page: 58 issue: Pt A year: 2017 ident: 2331_CR17 publication-title: Neurosci Biobehav Rev doi: 10.1016/j.neubiorev.2017.01.002 – volume: 102 start-page: 3 issue: Pt 1 year: 2014 ident: 2331_CR125 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2014.05.018 – volume: 33 start-page: 1444 issue: 11 year: 1983 ident: 2331_CR76 publication-title: Neurology. doi: 10.1212/WNL.33.11.1444 – volume: 188 start-page: 510 issue: 6 year: 2006 ident: 2331_CR97 publication-title: Br J Psychiatry doi: 10.1192/bjp.188.6.510 – volume: 33 start-page: 1194 issue: 7 year: 2012 ident: 2331_CR102 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2010.11.001 – volume: 41 start-page: 1243 issue: 12 year: 2006 ident: 2331_CR130 publication-title: Exp Gerontol doi: 10.1016/j.exger.2006.09.006 – volume: 21 start-page: 187 issue: 3 year: 2010 ident: 2331_CR15 publication-title: Rev Neurosci doi: 10.1515/revneuro.2010.21.3.187 – volume: 65 start-page: 1087 issue: 4 year: 2018 ident: 2331_CR27 publication-title: J Alzheimers Dis doi: 10.3233/JAD-180598 – volume: 14 start-page: 21 issue: 1 Pt 1 year: 2001 ident: 2331_CR109 publication-title: Neuroimage. doi: 10.1006/nimg.2001.0786 – volume: 19 start-page: 448 issue: 3 year: 1983 ident: 2331_CR74 publication-title: Psychopharmacol Bull – volume: 23 start-page: 1385 issue: 5 year: 2018 ident: 2331_CR19 publication-title: Mol Psychiatry doi: 10.1038/mp.2017.62 – volume: 101 start-page: 3316 issue: 9 year: 2004 ident: 2331_CR119 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0400266101 – volume: 36 start-page: 428 issue: 4 year: 1981 ident: 2331_CR77 publication-title: J Gerontol doi: 10.1093/geronj/36.4.428 – volume: 173 start-page: 607 issue: 6 year: 2016 ident: 2331_CR30 publication-title: Am J Psychiatry doi: 10.1176/appi.ajp.2015.15070922 – volume: 25 start-page: 235 issue: 4 year: 2012 ident: 2331_CR56 publication-title: GeroPsych J Gerontopsychol Geriatr Psychiatry doi: 10.1024/1662-9647/a000074 – volume: 39 start-page: 4663 issue: 12 year: 2018 ident: 2331_CR14 publication-title: Hum Brain Mapp doi: 10.1002/hbm.24312 – volume-title: Joanna Briggs institute reviewers’ manual: 2014 edition year: 2014 ident: 2331_CR25 – volume: 40 start-page: 681 issue: 12 year: 2017 ident: 2331_CR124 publication-title: Trends Neurosci doi: 10.1016/j.tins.2017.10.001 – volume: 24 start-page: 919 issue: 4 year: 2014 ident: 2331_CR10 publication-title: Cereb Cortex doi: 10.1093/cercor/bhs379 – volume: 73 start-page: 657 issue: 6 year: 2002 ident: 2331_CR99 publication-title: J Neurol Neurosurg Psychiatry doi: 10.1136/jnnp.73.6.657 – volume: 67 start-page: 1 year: 2018 ident: 2331_CR35 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2018.03.004 – volume: 34 start-page: 8488 issue: 25 year: 2014 ident: 2331_CR12 publication-title: J Neurosci doi: 10.1523/JNEUROSCI.0391-14.2014 – ident: 2331_CR21 doi: 10.1007/978-3-030-24970-0_19 – volume: 305 start-page: 111173 year: 2020 ident: 2331_CR115 publication-title: Psychiatry Res Neuroimaging doi: 10.1016/j.pscychresns.2020.111173 – volume: 35 start-page: S20 issue: Suppl 2 year: 2014 ident: 2331_CR120 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2014.03.034 – volume: 58 start-page: 176 issue: 2 year: 2003 ident: 2331_CR118 publication-title: J Gerontol A Biol Sci Med Sci doi: 10.1093/gerona/58.2.M176 – volume: 22 start-page: 1118 issue: 6 year: 2017 ident: 2331_CR123 publication-title: Respirology. doi: 10.1111/resp.13048 – volume: 2 start-page: 79 issue: 2 year: 2003 ident: 2331_CR103 publication-title: Lancet Neurol doi: 10.1016/S1474-4422(03)00304-1 – volume: 123 start-page: 811 issue: 7 year: 2002 ident: 2331_CR6 publication-title: Mech Ageing Dev doi: 10.1016/S0047-6374(01)00426-2 – ident: 2331_CR28 doi: 10.1002/ana.25746 – volume: 148 start-page: 179 year: 2017 ident: 2331_CR67 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2016.11.005 – volume: 62 start-page: 1545 issue: 10 year: 2005 ident: 2331_CR114 publication-title: Arch Neurol doi: 10.1001/archneur.62.10.1545 – volume: 6 start-page: e1000097 issue: 7 year: 2009 ident: 2331_CR22 publication-title: PLoS Med doi: 10.1371/journal.pmed.1000097 – ident: 2331_CR58 doi: 10.1371/journal.pone.0067346 – volume: 8 start-page: 195 issue: 2 year: 1996 ident: 2331_CR72 publication-title: Int Psychogeriatr doi: 10.1017/S1041610296002578 – ident: 2331_CR57 doi: 10.3389/fnagi.2014.00094 – ident: 2331_CR31 doi: 10.1101/712851 – volume: 47 start-page: 1030 issue: 6 year: 2017 ident: 2331_CR112 publication-title: Psychol Med doi: 10.1017/S0033291716003366 – volume: 88 start-page: 1349 issue: 14 year: 2017 ident: 2331_CR82 publication-title: Neurology. doi: 10.1212/WNL.0000000000003790 – volume: 145 start-page: 199 year: 2017 ident: 2331_CR88 publication-title: Neurobiol Learn Mem doi: 10.1016/j.nlm.2017.10.012 – volume: 11 start-page: 259 year: 2019 ident: 2331_CR107 publication-title: Front Aging Neurosci doi: 10.3389/fnagi.2019.00259 – volume: 34 start-page: 3107 issue: 22 year: 2017 ident: 2331_CR70 publication-title: J Neurotrauma doi: 10.1089/neu.2017.5022 – volume: 47 start-page: P121 issue: 3 year: 1992 ident: 2331_CR93 publication-title: J Gerontol doi: 10.1093/geronj/47.3.P121 – volume: 160 start-page: 32 year: 2017 ident: 2331_CR7 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2017.01.077 – volume: 133 start-page: 28 year: 2017 ident: 2331_CR40 publication-title: Epilepsy Res doi: 10.1016/j.eplepsyres.2017.03.007 – ident: 2331_CR84 doi: 10.3389/fnagi.2018.00074 – ident: 2331_CR48 – ident: 2331_CR52 doi: 10.1038/s41380-019-0446-9 – volume: 223 start-page: 297 issue: 1 year: 2018 ident: 2331_CR29 publication-title: Brain Struct Funct doi: 10.1007/s00429-017-1491-2 – volume: 115 start-page: 1 year: 2015 ident: 2331_CR61 publication-title: Neuroimage. doi: 10.1016/j.neuroimage.2015.04.036 – volume: 10 start-page: 5409 issue: 1 year: 2019 ident: 2331_CR32 publication-title: Nat Commun doi: 10.1038/s41467-019-13163-9 – ident: 2331_CR90 doi: 10.1007/s11682-020-00260-3 – volume: 72 start-page: 1906 issue: 22 year: 2009 ident: 2331_CR104 publication-title: Neurology. doi: 10.1212/WNL.0b013e3181a82634 – volume: 24 start-page: 266 issue: 2 year: 2019 ident: 2331_CR18 publication-title: Mol Psychiatry doi: 10.1038/s41380-018-0098-1 – volume: 47 start-page: 63 year: 2016 ident: 2331_CR24 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2016.07.010 – volume: 13 start-page: 548 year: 2019 ident: 2331_CR86 publication-title: Front Neurosci doi: 10.3389/fnins.2019.00548 – volume-title: Active ageing: a policy framework year: 2002 ident: 2331_CR4 – volume: 32 start-page: 1050 issue: 7 year: 2011 ident: 2331_CR106 publication-title: Hum Brain Mapp doi: 10.1002/hbm.21088 – volume: 8 start-page: 229 year: 2014 ident: 2331_CR128 publication-title: Front Neurosci doi: 10.3389/fnins.2014.00229 – volume: 120 start-page: 437 issue: 4 year: 2005 ident: 2331_CR2 publication-title: Cell. doi: 10.1016/j.cell.2005.01.027 – volume: 45 start-page: 190 issue: 1 year: 2019 ident: 2331_CR41 publication-title: Schizophr Bull doi: 10.1093/schbul/sbx172 – volume: 63 start-page: 1876 issue: 10 year: 2004 ident: 2331_CR113 publication-title: Neurology. doi: 10.1212/01.WNL.0000141850.47773.5F – ident: 2331_CR50 doi: 10.1177/0004867419857814 – volume: 21 start-page: 101664 year: 2019 ident: 2331_CR26 publication-title: Neuroimage Clin doi: 10.1016/j.nicl.2019.101664 – ident: 2331_CR59 doi: 10.3389/fnagi.2019.00348 – ident: 2331_CR71 doi: 10.1016/j.nicl.2019.102159 – volume: 116 start-page: 3251 issue: 8 year: 2019 ident: 2331_CR65 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1815917116 – ident: 2331_CR69 doi: 10.1016/j.nicl.2020.102183 – volume: 9 start-page: 293 issue: 3 year: 2014 ident: 2331_CR87 publication-title: J NeuroImmune Pharmacol doi: 10.1007/s11481-014-9530-8 – volume: 7 start-page: 1279 issue: 12 year: 2017 ident: 2331_CR37 publication-title: Transl Psychiatry doi: 10.1038/s41398-017-0037-y – volume: 24 start-page: 689 issue: 4 year: 1988 ident: 2331_CR78 publication-title: Psychopharmacol Bull – volume: 24 start-page: 627 issue: 4 year: 1988 ident: 2331_CR73 publication-title: Psychopharmacol Bull – volume: 671 start-page: 93 year: 2018 ident: 2331_CR89 publication-title: Neurosci Lett doi: 10.1016/j.neulet.2018.02.015 – volume: 17 start-page: 162 issue: 2 year: 2018 ident: 2331_CR81 publication-title: Lancet Neurol doi: 10.1016/S1474-4422(17)30470-2 – volume: 266 start-page: 86 year: 2017 ident: 2331_CR49 publication-title: Psychiatry Res doi: 10.1016/j.pscychresns.2017.05.006 – volume: 83 start-page: 1753 issue: 19 year: 2014 ident: 2331_CR121 publication-title: Neurology. doi: 10.1212/WNL.0000000000000964 – volume: 8 issue: 8 year: 2018 ident: 2331_CR68 publication-title: Brain Behav doi: 10.1002/brb3.1020 – volume: 77 start-page: 1524 issue: 16 year: 2011 ident: 2331_CR100 publication-title: Neurology. doi: 10.1212/WNL.0b013e318233b33d – volume: 16 start-page: 465 issue: 6 year: 2017 ident: 2331_CR117 publication-title: Lancet Neurol doi: 10.1016/S1474-4422(17)30084-4 – volume: 26 start-page: 79 issue: 2 year: 2020 ident: 2331_CR23 publication-title: Neurocase. doi: 10.1080/13554794.2020.1731553 – volume: 290 start-page: 1 year: 2019 ident: 2331_CR44 publication-title: Psychiatry Res Neuroimaging doi: 10.1016/j.pscychresns.2019.06.001 – volume: 37 start-page: 384 issue: 3 year: 2013 ident: 2331_CR8 publication-title: Neurosci Biobehav Rev doi: 10.1016/j.neubiorev.2013.01.017 – volume: 24 start-page: 109 issue: 2 year: 2009 ident: 2331_CR16 publication-title: Int J Geriatr Psychiatry doi: 10.1002/gps.2087 – volume: 38 start-page: 4212 issue: 8 year: 2017 ident: 2331_CR105 publication-title: Hum Brain Mapp doi: 10.1002/hbm.23659 – volume: 40 start-page: 1140 issue: 5 year: 2014 ident: 2331_CR66 publication-title: Schizophr Bull doi: 10.1093/schbul/sbt142 – ident: 2331_CR45 doi: 10.1016/j.nicl.2019.102033 – volume: 92 start-page: 34 year: 2020 ident: 2331_CR54 publication-title: Neurobiol Aging doi: 10.1016/j.neurobiolaging.2020.03.014 |
| SSID | ssj0017841 |
| Score | 2.526218 |
| Snippet | Background
Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is... Background Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is... Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological age is considered a... Abstract Background Brain age is a biomarker that predicts chronological age using neuroimaging features. Deviations of this predicted age from chronological... |
| SourceID | doaj pubmedcentral proquest gale crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Age Age prediction Aging Alzheimer's disease Bias Brain ageing Brain research BrainAGE Cognitive ability Dementias Health aspects Life style Lifestyles Machine learning Magnetic resonance imaging Medical imaging Medicine Medicine & Public Health Mental disorders Mental illness Nervous system diseases Neurochemistry Neurodegenerative diseases Neuroimaging Neurological diseases Neurology Neurosurgery Population studies Predicted age difference Research Article Reviews Risk factors Schizophrenia Systematic review Womens health |
| SummonAdditionalLinks | – databaseName: ProQuest Publicly Available Content dbid: PIMPY link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwED9Bh9Be-EYEBjISEg9gtXZdx-EFDUQFEpv6ANJ4smzHGZNQurUdfz93jtMqTOyJl6iKHdXOffgud_c7gFcuGu3RkOfOoApUQeOvaYi8RG9IVKGchCoVCn8tj4_NyUm1yOXR65xW2evEpKg7tGfK20YlPK6Xgb6Yj_GgJkMcjYP35xecekhRrDU31LgJewS8ZUawt_hytPixjSpQjK0vnDF6vBbUapdTkgKeXFP0pQaHU8Lwv6qpr2ZP_hVCTSfT_O7_3dM9uJMtVHbYsdR9uBHbB3D7KMfgH8K7edeih7lM2Vgz-prLPHWbYKifcJWMM8d2KNGsq5B5BN_nn759_MxzBwYe0DDZcKmbYEzt0UlSJkovy-BV5aqAVl5tlGomQZoopJPOzHRTu9LPgtDSR-pl5sX0MYzaZRufAENWicKhO6nw4lBP-tigb65Rv_lGzXwBon_1NmR4cuqS8csmN8Vo25HLIrlsIpdVBbzZPnPegXNcO_sDUXQ7k4C1043l6tRmObWqMTWaPOWkNk6JOlSNntYzPwlNpaVzuoDXxA-WxB-XF1yuYsBNEpCWPdS4c_RrK1PAwWAmim0YDvc8YbPaWNsdCxTwcjtMT1IqXBuXl2kOurAazfICygEnDnY2HGnPfibocEN12EoU8Lbn2d2f__vNPb1-rc9gXyYhMlzIAxhtVpfxOdwKvzdn69WLLIR_AEl2Pr8 priority: 102 providerName: ProQuest – databaseName: SpringerLINK dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dbxMxDLdgQ4gXGF_iYExBQuJhnGjSNOfjbSAqHmBCwKa9RUkuB5PQFbUdfz92LtfpNkBiL1XVOLqLYzv-1bEN8NxFNJ4c-dIhmUAdDH2bhlhWhIZkHapJqFOi8Ifq8BBPTupPOSlsNdx2H0KSyVIntUbzaiW5MW7JVwronJkS8rkO23TcIavj5y_Hm9gBR9KG9Jg_zhsdQalS_2V7fPmO5IVAaTp_5neu9uY7cDv7m-KgF5C7cC129-DmxxxRvw-v533DHeHyPsVG8H-zwnPvCEHWhp4kSuHEec1n0ee7PICj-buvb9-XuZ9CGcjNWJfKtAGx8QR5NEblVRW8rl0dyGdrUOt2EhRGqZxyODNt4yo_C9IoH7kzmZfTh7DVLbr4CARtfJSOwKGmD0dWz8eWkLYha-VbPfMFyIHFNuRi49zz4odNoAON7ZliiSk2McXqAvY3c372pTb-Sf2Gd25DyWWy0w-L5Tebtc7qFhtyYKpJg07LJtStmTYzPwltbZRzpoAXvO-WlZleL7ick0CL5LJY9sDQygml1ljA7oiSlDCMhwfJsdkIrCx5k4wWyYMt4NlmmGfyxbYuLs4SDQFSQ052AdVI4kYrG490p99TIXDkrGotC3g5yN35w__Oucf_R_4EbqkkulhKtQtb6-VZfAo3wq_16Wq5l1TvN369J-s priority: 102 providerName: Springer Nature |
| Title | Factors associated with brain ageing - a systematic review |
| URI | https://link.springer.com/article/10.1186/s12883-021-02331-4 https://www.proquest.com/docview/2562605105 https://www.proquest.com/docview/2561486310 https://pubmed.ncbi.nlm.nih.gov/PMC8359541 https://doaj.org/article/4f8d12470d8a41dc9f63d5b0cf962aa6 |
| Volume | 21 |
| WOSCitedRecordID | wos000685064400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: BioMedCentral customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: RBZ dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central (subscription) customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1471-2377 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017841 issn: 1471-2377 databaseCode: RSV dateStart: 20011201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwED_BQIgXxKcWNiojIfEA0WrXtR3eNrQKJFZV40PlybIdR5s0ZWjt-Pt35zgdYQJeeImS2Ens8935frHvDuCVi0Z5NORLZ1AFyqDwbBJiqREN8SrocaiSo_AnPZ-b5bJa_JLqi_aEdeGBO8LtycbUOAfpcW2c5HWoGjWpp34cmkoJ51KwbbR6ejCV1w9oNa13kTFqb8UpqW5J2xFwjpogahpMQyla_02dfHOf5G-LpWkOmj2EB9l4ZPtdox_Brdg-hntHeXn8CbybddlzmMtEjzWjH63MUyIIhqoDX8tK5th1AGfWOa88ha-zwy_vP5Q5OUIZ0GZYl0I1wZjaI36RJgovdPCyclVAA6w2UjbjIEzkwglnpqqpnfbTwJXwkdKMeT55BlvteRu3geEoRu4Q6Uk8OFRhPjYImxWqHt_IqS-A97SyIUcOpwQWZzYhCKNsR1-L9LWJvlYW8GbzzI8ubsZfax_QEGxqUszrdAM5wWZOsP_ihAJe0wBakkxsXnDZwQA7STGu7L7CniPkrEwBu4OaKFFhWNyzgM0SvbJoGhL0Q3O0gJebYnqSdqm18fwy1UF0qdBiLkAPWGfQs2FJe3qSonobcpGWvIC3PZNdf_zPlHv-Pyi3A_dFkg1TcrELW-uLy_gC7oaf69PVxQhu66VORzOCOweH88XxKEkbXi0-Hi2-49Xx529XttsqgA |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFD4aAwEv3BGBAUYC8QDRYtd1HCSExqXatK7iYUh9M7bjwCSUjrYD8af4jZzjJK3CxN72wEtV1U5jO5-_c058LgBPbdDKoSKfWo0UKL3CbwMf0hytIV74PPNFDBQe55OJnk6Ljxvwu4uFIbfKjhMjUZczT-_It1E0k-qN6sCb4-8pVY2i09WuhEYDi_3w6yeabIvXe-_x-T4TYvTh8N1u2lYVSD0K22UqVOW1Lh0q_lIH4UTunSxs4VFzKbWUVeaFDlxYYfVQVaXN3dBzJVyg-lyOD_B_L8BF5PGcXMjy6crA43SG1wXmaLW94FTKNyUnCJSMA7TVesIv1gg4LQlOe2f-dUQbJd_o-v-2ZjfgWqtjs51mU9yEjVDfgssHrRfBbXg1aooMMdtiM5SM3kczR_UyGDIsrgNLmWXrPNesifG5A5_OZeR3YbOe1eEeMAR74BYNYokfFpnehSqT5CM8cJUcugR493CNbxOsU52PbyYaWlqZBhAGAWEiIIxM4MXqmuMmvciZvd8SZlY9KTV4_GE2_2JapjGy0iUqbXlWait56YtKDcqhy3xVKGGtSuA5Ic4QgeHwvG3jMHCSlArM7CicOVrmhU5gq9cTicf3mzvUmZb4FmYNuQSerJrpSnLmq8PsJPZBI1yhYZFA3sN6b2b9lvroa0x-rimSXPIEXna7Yn3zf6_c_bPH-hiu7B4ejM14b7L_AK6KuGV1ysUWbC7nJ-EhXPI_lkeL-aO44Rl8Pu_d8geyCo5t |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9QwDLdgoIkXxtdEYUCQkHiAapdcLk33NjZOIMZpEh_aW5RPmIR6092Nvx87bW-UARLipTo1jtq4tuPfObYBntmolUNHvrQaTaD0Cn-NfSwrREO89tXI1zlR-KiazfTJSX38UxZ_Pu3ehyTbnAaq0tSsds9CalVcq90lpya5JR0vwD1njCjoKlyT1DSI8PqHz-s4AkXV-lSZ384bbEe5av9l23z5vOQvQdO8F023_n8Vt-Bm54ey_VZwbsOV2NyBzfddpP0u7E3bRjzMdt8vBkb_2TJHPSUYWiF8KiuZZRe1oFmbB3MPPk1ffzx4U3Z9FkqP7seqFCp5rYNDKCR1FE5U3sna1h59uaClTCMvdOTCCqsnKgVbuYnnSrhIHcscH2_DRjNv4n1gKBCRWwSNEi8WraGLCRG4Qivmkpy4AnjPbuO7IuTUC-ObyWBEK9MyxSBTTGaKkQW8WM85a0tw_JX6FX3FNSWVz8435osvptNGI5MO6NhUo6Ct5MHXSY3DxI18qpWwVhXwnGTAkJLj63nb5SrgIqlcltlXuHJEr7UuYGdAicrph8O9FJnOOCwNepmEItGzLeDpephm0oG3Js7PMw0CVYXOdwHVQPoGKxuONKdfc4FwTdnWkhfwspfBi4f_mXMP_o38CWweH07N0dvZu4dwQ2Qp1iUXO7CxWpzHR3Ddf1-dLhePs0b-AJbLM7M |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Factors+associated+with+brain+ageing+-+a+systematic+review&rft.jtitle=BMC+neurology&rft.au=Wrigglesworth%2C+Jo&rft.au=Ward%2C+Phillip&rft.au=Harding%2C+Ian+H&rft.au=Nilaweera%2C+Dinuli&rft.date=2021-08-12&rft.issn=1471-2377&rft.eissn=1471-2377&rft.volume=21&rft.issue=1&rft.spage=312&rft_id=info:doi/10.1186%2Fs12883-021-02331-4&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2377&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2377&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2377&client=summon |