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Patterns of functional connectivity in an aging population : The Rotterdam Study. / Zonneveld, Hazel I.; Pruim, Raimon HR; Bos, Daniel; Vrooman, Henri A.; Muetzel, Ryan L.; Hofman, Albert; Rombouts, Serge ARB; van der Lugt, Aad; Niessen, Wiro J.; More Authors.

In: NeuroImage, Vol. 189, 2019, p. 432-444.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Zonneveld, HI, Pruim, RHR, Bos, D, Vrooman, HA, Muetzel, RL, Hofman, A, Rombouts, SARB, van der Lugt, A, Niessen, WJ & More Authors 2019, 'Patterns of functional connectivity in an aging population: The Rotterdam Study' NeuroImage, vol. 189, pp. 432-444. https://doi.org/10.1016/j.neuroimage.2019.01.041

APA

Zonneveld, H. I., Pruim, R. HR., Bos, D., Vrooman, H. A., Muetzel, R. L., Hofman, A., ... More Authors (2019). Patterns of functional connectivity in an aging population: The Rotterdam Study. NeuroImage, 189, 432-444. https://doi.org/10.1016/j.neuroimage.2019.01.041

Vancouver

Zonneveld HI, Pruim RHR, Bos D, Vrooman HA, Muetzel RL, Hofman A et al. Patterns of functional connectivity in an aging population: The Rotterdam Study. NeuroImage. 2019;189:432-444. https://doi.org/10.1016/j.neuroimage.2019.01.041

Author

Zonneveld, Hazel I. ; Pruim, Raimon HR ; Bos, Daniel ; Vrooman, Henri A. ; Muetzel, Ryan L. ; Hofman, Albert ; Rombouts, Serge ARB ; van der Lugt, Aad ; Niessen, Wiro J. ; More Authors. / Patterns of functional connectivity in an aging population : The Rotterdam Study. In: NeuroImage. 2019 ; Vol. 189. pp. 432-444.

BibTeX

@article{fe66d57826604ab4acff83a712dadc82,
title = "Patterns of functional connectivity in an aging population: The Rotterdam Study",
abstract = "Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by ‘normal’ brain ageing. More information is needed on how functional connectivity relates to aging, particularly in the absence of overt neurodegenerative disease. We investigated the association of age with resting-state functional connectivity in 2878 non-demented persons between 50 and 95 years of age (54.1{\%} women) from the population-based Rotterdam Study. We obtained nine well-known resting state networks using data-driven methodology. Within the anterior default mode network, ventral attention network, and sensorimotor network, functional connectivity was significantly lower with older age. In contrast, functional connectivity was higher with older age within the visual network. Between resting state networks, we found patterns of both increases and decreases in connectivity in approximate equal proportions. Our results reinforce the notion that the aging brain undergoes a reorganization process, and serves as a solid basis for exploring functional connectivity as a preclinical marker of neurodegenerative disease.",
keywords = "Aging, Brain networks, Epidemiology, Functional connectivity, Population-based, Resting-state functional MRI",
author = "Zonneveld, {Hazel I.} and Pruim, {Raimon HR} and Daniel Bos and Vrooman, {Henri A.} and Muetzel, {Ryan L.} and Albert Hofman and Rombouts, {Serge ARB} and {van der Lugt}, Aad and Niessen, {Wiro J.} and {More Authors}",
year = "2019",
doi = "10.1016/j.neuroimage.2019.01.041",
language = "English",
volume = "189",
pages = "432--444",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Patterns of functional connectivity in an aging population

T2 - NeuroImage

AU - Zonneveld, Hazel I.

AU - Pruim, Raimon HR

AU - Bos, Daniel

AU - Vrooman, Henri A.

AU - Muetzel, Ryan L.

AU - Hofman, Albert

AU - Rombouts, Serge ARB

AU - van der Lugt, Aad

AU - Niessen, Wiro J.

AU - More Authors, null

PY - 2019

Y1 - 2019

N2 - Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by ‘normal’ brain ageing. More information is needed on how functional connectivity relates to aging, particularly in the absence of overt neurodegenerative disease. We investigated the association of age with resting-state functional connectivity in 2878 non-demented persons between 50 and 95 years of age (54.1% women) from the population-based Rotterdam Study. We obtained nine well-known resting state networks using data-driven methodology. Within the anterior default mode network, ventral attention network, and sensorimotor network, functional connectivity was significantly lower with older age. In contrast, functional connectivity was higher with older age within the visual network. Between resting state networks, we found patterns of both increases and decreases in connectivity in approximate equal proportions. Our results reinforce the notion that the aging brain undergoes a reorganization process, and serves as a solid basis for exploring functional connectivity as a preclinical marker of neurodegenerative disease.

AB - Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by ‘normal’ brain ageing. More information is needed on how functional connectivity relates to aging, particularly in the absence of overt neurodegenerative disease. We investigated the association of age with resting-state functional connectivity in 2878 non-demented persons between 50 and 95 years of age (54.1% women) from the population-based Rotterdam Study. We obtained nine well-known resting state networks using data-driven methodology. Within the anterior default mode network, ventral attention network, and sensorimotor network, functional connectivity was significantly lower with older age. In contrast, functional connectivity was higher with older age within the visual network. Between resting state networks, we found patterns of both increases and decreases in connectivity in approximate equal proportions. Our results reinforce the notion that the aging brain undergoes a reorganization process, and serves as a solid basis for exploring functional connectivity as a preclinical marker of neurodegenerative disease.

KW - Aging

KW - Brain networks

KW - Epidemiology

KW - Functional connectivity

KW - Population-based

KW - Resting-state functional MRI

UR - http://www.scopus.com/inward/record.url?scp=85060868003&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2019.01.041

DO - 10.1016/j.neuroimage.2019.01.041

M3 - Article

VL - 189

SP - 432

EP - 444

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 51287474