Brain-predicted age difference is associated with cognitive processing in later-life

Jo Wrigglesworth; Nurathifah Yaacob; Phillip Ward; Robyn L. Woods; John McNeil; Elsdon Storey; Gary Egan; Anne Murray; Raj C. Shah; Sharna D. Jamadar; Ruth Trevaks; Stephanie Ward; Ian H. Harding; Joanne Ryan

doi:10.1016/j.neurobiolaging.2021.10.007

Brain-predicted age difference is associated with cognitive processing in later-life

Jo Wrigglesworth, Nurathifah Yaacob, Phillip Ward, Robyn L. Woods, John McNeil, Elsdon Storey, Gary Egan, Anne Murray, Raj C. Shah, Sharna D. Jamadar, Ruth Trevaks, Stephanie Ward, Ian H. Harding, Joanne Ryan

Research output: Contribution to journal › Article › Research › peer-review

20 Citations (Scopus)

Abstract

Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed.

Original language	English
Pages (from-to)	195-203
Number of pages	9
Journal	Neurobiology of Aging
Volume	109
DOIs	https://doi.org/10.1016/j.neurobiolaging.2021.10.007
Publication status	Published - Jan 2022

Keywords

Brain aging
Cognitive function
Estimated brain age
Magnetic resonance imaging
Neuroimaging
Predicted age difference

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10.1016/j.neurobiolaging.2021.10.007

Cite this

@article{f64dd18e023c44299ad27564a0bc589c,

title = "Brain-predicted age difference is associated with cognitive processing in later-life",

abstract = "Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed.",

keywords = "Brain aging, Cognitive function, Estimated brain age, Magnetic resonance imaging, Neuroimaging, Predicted age difference",

author = "Jo Wrigglesworth and Nurathifah Yaacob and Phillip Ward and Woods, {Robyn L.} and John McNeil and Elsdon Storey and Gary Egan and Anne Murray and Shah, {Raj C.} and Jamadar, {Sharna D.} and Ruth Trevaks and Stephanie Ward and Harding, {Ian H.} and Joanne Ryan",

note = "Funding Information: The authors would like to thank participants of the Australian ASPREE and NEURO studies for volunteering their time, and general practitioners for supporting participants throughout the trial. Authors also acknowledge the hard work of all ASPREE field staff, and those at the Monash Biomedical Imaging facility who attained magnetic resonance images. Supported by grants ( U01AG029824 and U19AG062682 ) from the National Institute on Aging and the National Cancer Institute at the National Institutes of Health , by grants ( 334047 ; 1086188 and 1127060 ) from the National Health and Medical Research Council of Australia , and by Monash University and the Victorian Cancer Agency . Funders did not direct the conduction of this study, nor the decision to publish these findings. Funding Information: Jo Wrigglesworth is the recipient of a Research Training Program stipend, awarded by Monash University and the Australian government. Ian H. Harding is supported by NHMRC Fellowship [APP1106533]. Joanne Ryan is funded by a NHMRC Dementia Research Leader Fellowship [APP1135727]. Sharna Jamadar is supported by an Australian National Health and Medical Research Council Fellowship [APP1174164] and the Australian Research Council Centre of Excellence for Integrative Brain Function [CE140100007]. The remaining authors report no conflicts of interest. Publisher Copyright: {\textcopyright} 2021",

year = "2022",

month = jan,

doi = "10.1016/j.neurobiolaging.2021.10.007",

language = "English",

volume = "109",

pages = "195--203",

journal = "Neurobiology of Aging",

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AU - Yaacob, Nurathifah

AU - Ward, Phillip

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AU - McNeil, John

AU - Storey, Elsdon

AU - Egan, Gary

AU - Murray, Anne

AU - Shah, Raj C.

AU - Jamadar, Sharna D.

AU - Trevaks, Ruth

AU - Ward, Stephanie

AU - Harding, Ian H.

AU - Ryan, Joanne

N1 - Funding Information: The authors would like to thank participants of the Australian ASPREE and NEURO studies for volunteering their time, and general practitioners for supporting participants throughout the trial. Authors also acknowledge the hard work of all ASPREE field staff, and those at the Monash Biomedical Imaging facility who attained magnetic resonance images. Supported by grants ( U01AG029824 and U19AG062682 ) from the National Institute on Aging and the National Cancer Institute at the National Institutes of Health , by grants ( 334047 ; 1086188 and 1127060 ) from the National Health and Medical Research Council of Australia , and by Monash University and the Victorian Cancer Agency . Funders did not direct the conduction of this study, nor the decision to publish these findings. Funding Information: Jo Wrigglesworth is the recipient of a Research Training Program stipend, awarded by Monash University and the Australian government. Ian H. Harding is supported by NHMRC Fellowship [APP1106533]. Joanne Ryan is funded by a NHMRC Dementia Research Leader Fellowship [APP1135727]. Sharna Jamadar is supported by an Australian National Health and Medical Research Council Fellowship [APP1174164] and the Australian Research Council Centre of Excellence for Integrative Brain Function [CE140100007]. The remaining authors report no conflicts of interest. Publisher Copyright: © 2021

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N2 - Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed.

AB - Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed.

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KW - Cognitive function

KW - Estimated brain age

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ER -

Brain-predicted age difference is associated with cognitive processing in later-life

Abstract

Keywords

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Other files and links

ASPREE Completion Project

ASPREE- NEURO; aspirin and cerebral microhaemorrhages

ARC Centre of Excellence for Integrative Brain Function

Cite this

Brain-predicted age difference is associated with cognitive processing in later-life

Abstract

Keywords

Access to Document

Other files and links

Projects

ASPREE Completion Project

ASPREE- NEURO; aspirin and cerebral microhaemorrhages

ARC Centre of Excellence for Integrative Brain Function

Cite this