Effect of intellectual enrichment on AD biomarker trajectories

Prashanthi Vemuri, Timothy G. Lesnick, Scott A. Przybelski, David S. Knopman, Mary Machulda, Val J. Lowe, Michelle M. Mielke, Rosebud O. Roberts, Jeffrey L. Gunter, Matthew L. Senjem, Yonas E. Geda, Walter A. Rocca, Ronald C. Petersen, Clifford R. Jack

Research output: Contribution to journalArticle

Abstract

Objective: To investigate the effect of age, sex, APOE4 genotype, and lifestyle enrichment (education/occupation, midlife cognitive activity, and midlife physical activity) on Alzheimer disease (AD) biomarker trajectories using longitudinal imaging data (brain β-amyloid load via Pittsburgh compound B PET and neurodegeneration via 18 fluorodeoxyglucose (FDG) PET and structural MRI) in an elderly population without dementia. Methods: In the population-based longitudinal Mayo Clinic Study of Aging, we studied 393 participants without dementia (340 clinically normal, 53 mild cognitive impairment; 70 years and older) who had cognitive and physical activity measures and at least 2 visits with imaging biomarkers. We dichotomized participants into high (≥14 years) and low (

Original languageEnglish (US)
Pages (from-to)1128-1135
Number of pages8
JournalNeurology
Volume86
Issue number12
DOIs
StatePublished - Mar 22 2016
Externally publishedYes

Fingerprint

Dementia
Alzheimer Disease
Biomarkers
Exercise
Occupations
Amyloid
Neuroimaging
Population
Life Style
Genotype
Education
Cognitive Dysfunction
2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazole

ASJC Scopus subject areas

  • Clinical Neurology

Cite this

Vemuri, P., Lesnick, T. G., Przybelski, S. A., Knopman, D. S., Machulda, M., Lowe, V. J., ... Jack, C. R. (2016). Effect of intellectual enrichment on AD biomarker trajectories. Neurology, 86(12), 1128-1135. https://doi.org/10.1212/WNL.0000000000002490

Effect of intellectual enrichment on AD biomarker trajectories. / Vemuri, Prashanthi; Lesnick, Timothy G.; Przybelski, Scott A.; Knopman, David S.; Machulda, Mary; Lowe, Val J.; Mielke, Michelle M.; Roberts, Rosebud O.; Gunter, Jeffrey L.; Senjem, Matthew L.; Geda, Yonas E.; Rocca, Walter A.; Petersen, Ronald C.; Jack, Clifford R.

In: Neurology, Vol. 86, No. 12, 22.03.2016, p. 1128-1135.

Research output: Contribution to journalArticle

Vemuri, P, Lesnick, TG, Przybelski, SA, Knopman, DS, Machulda, M, Lowe, VJ, Mielke, MM, Roberts, RO, Gunter, JL, Senjem, ML, Geda, YE, Rocca, WA, Petersen, RC & Jack, CR 2016, 'Effect of intellectual enrichment on AD biomarker trajectories', Neurology, vol. 86, no. 12, pp. 1128-1135. https://doi.org/10.1212/WNL.0000000000002490
Vemuri P, Lesnick TG, Przybelski SA, Knopman DS, Machulda M, Lowe VJ et al. Effect of intellectual enrichment on AD biomarker trajectories. Neurology. 2016 Mar 22;86(12):1128-1135. https://doi.org/10.1212/WNL.0000000000002490
Vemuri, Prashanthi ; Lesnick, Timothy G. ; Przybelski, Scott A. ; Knopman, David S. ; Machulda, Mary ; Lowe, Val J. ; Mielke, Michelle M. ; Roberts, Rosebud O. ; Gunter, Jeffrey L. ; Senjem, Matthew L. ; Geda, Yonas E. ; Rocca, Walter A. ; Petersen, Ronald C. ; Jack, Clifford R. / Effect of intellectual enrichment on AD biomarker trajectories. In: Neurology. 2016 ; Vol. 86, No. 12. pp. 1128-1135.
@article{86eeb2f0adb449f7b576db4f4a9b2364,
title = "Effect of intellectual enrichment on AD biomarker trajectories",
abstract = "Objective: To investigate the effect of age, sex, APOE4 genotype, and lifestyle enrichment (education/occupation, midlife cognitive activity, and midlife physical activity) on Alzheimer disease (AD) biomarker trajectories using longitudinal imaging data (brain β-amyloid load via Pittsburgh compound B PET and neurodegeneration via 18 fluorodeoxyglucose (FDG) PET and structural MRI) in an elderly population without dementia. Methods: In the population-based longitudinal Mayo Clinic Study of Aging, we studied 393 participants without dementia (340 clinically normal, 53 mild cognitive impairment; 70 years and older) who had cognitive and physical activity measures and at least 2 visits with imaging biomarkers. We dichotomized participants into high (≥14 years) and low (",
author = "Prashanthi Vemuri and Lesnick, {Timothy G.} and Przybelski, {Scott A.} and Knopman, {David S.} and Mary Machulda and Lowe, {Val J.} and Mielke, {Michelle M.} and Roberts, {Rosebud O.} and Gunter, {Jeffrey L.} and Senjem, {Matthew L.} and Geda, {Yonas E.} and Rocca, {Walter A.} and Petersen, {Ronald C.} and Jack, {Clifford R.}",
year = "2016",
month = "3",
day = "22",
doi = "10.1212/WNL.0000000000002490",
language = "English (US)",
volume = "86",
pages = "1128--1135",
journal = "Neurology",
issn = "0028-3878",
publisher = "Lippincott Williams and Wilkins",
number = "12",

}

TY - JOUR

T1 - Effect of intellectual enrichment on AD biomarker trajectories

AU - Vemuri, Prashanthi

AU - Lesnick, Timothy G.

AU - Przybelski, Scott A.

AU - Knopman, David S.

AU - Machulda, Mary

AU - Lowe, Val J.

AU - Mielke, Michelle M.

AU - Roberts, Rosebud O.

AU - Gunter, Jeffrey L.

AU - Senjem, Matthew L.

AU - Geda, Yonas E.

AU - Rocca, Walter A.

AU - Petersen, Ronald C.

AU - Jack, Clifford R.

PY - 2016/3/22

Y1 - 2016/3/22

N2 - Objective: To investigate the effect of age, sex, APOE4 genotype, and lifestyle enrichment (education/occupation, midlife cognitive activity, and midlife physical activity) on Alzheimer disease (AD) biomarker trajectories using longitudinal imaging data (brain β-amyloid load via Pittsburgh compound B PET and neurodegeneration via 18 fluorodeoxyglucose (FDG) PET and structural MRI) in an elderly population without dementia. Methods: In the population-based longitudinal Mayo Clinic Study of Aging, we studied 393 participants without dementia (340 clinically normal, 53 mild cognitive impairment; 70 years and older) who had cognitive and physical activity measures and at least 2 visits with imaging biomarkers. We dichotomized participants into high (≥14 years) and low (

AB - Objective: To investigate the effect of age, sex, APOE4 genotype, and lifestyle enrichment (education/occupation, midlife cognitive activity, and midlife physical activity) on Alzheimer disease (AD) biomarker trajectories using longitudinal imaging data (brain β-amyloid load via Pittsburgh compound B PET and neurodegeneration via 18 fluorodeoxyglucose (FDG) PET and structural MRI) in an elderly population without dementia. Methods: In the population-based longitudinal Mayo Clinic Study of Aging, we studied 393 participants without dementia (340 clinically normal, 53 mild cognitive impairment; 70 years and older) who had cognitive and physical activity measures and at least 2 visits with imaging biomarkers. We dichotomized participants into high (≥14 years) and low (

UR - http://www.scopus.com/inward/record.url?scp=84961659530&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961659530&partnerID=8YFLogxK

U2 - 10.1212/WNL.0000000000002490

DO - 10.1212/WNL.0000000000002490

M3 - Article

VL - 86

SP - 1128

EP - 1135

JO - Neurology

JF - Neurology

SN - 0028-3878

IS - 12

ER -