Brain structural trajectories over the adult lifespan.

Standard

Brain structural trajectories over the adult lifespan. / Ziegler, Gabriel; Dahnke, Robert; Jäncke, Lutz; Yotter, Rachel Aine; May, Arne; Gaser, Christian.

In: HUM BRAIN MAPP, Vol. 33, No. 10, 10, 2012, p. 2377-2389.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Ziegler, G, Dahnke, R, Jäncke, L, Yotter, RA, May, A & Gaser, C 2012, 'Brain structural trajectories over the adult lifespan.', HUM BRAIN MAPP, vol. 33, no. 10, 10, pp. 2377-2389. <http://www.ncbi.nlm.nih.gov/pubmed/21898677?dopt=Citation>

APA

Ziegler, G., Dahnke, R., Jäncke, L., Yotter, R. A., May, A., & Gaser, C. (2012). Brain structural trajectories over the adult lifespan. HUM BRAIN MAPP, 33(10), 2377-2389. [10]. http://www.ncbi.nlm.nih.gov/pubmed/21898677?dopt=Citation

Vancouver

Ziegler G, Dahnke R, Jäncke L, Yotter RA, May A, Gaser C. Brain structural trajectories over the adult lifespan. HUM BRAIN MAPP. 2012;33(10):2377-2389. 10.

Bibtex

@article{25070bcdb7bf473ca5118f59c613eb77,
title = "Brain structural trajectories over the adult lifespan.",
abstract = "The aim of this large-sample cross-sectional voxel-based morphometry (VBM) study of anatomical brain data was to investigate linear and nonlinear age-related trajectories of grey matter volume in the human brain during the adult lifespan. To date, there are only a few structural brain studies investigating local nonlinear aspects at the voxel level, i.e., without using anatomical ROIs as a priori hypothesis. Therefore, we analyzed 547 T1-weighted MR images of healthy adult brains with an age range of 19 to 86 years, including 161 scans of subjects with ages 60 and older. We found that the gray matter volume in some regions did not linearly decrease over time, but rather exhibited a delayed decline. Nonlinear age trajectories were observed in the medial temporal lobe regions, the basal ganglia, and parts of the cerebellum. Their trajectories indicated a preservation of grey matter volume during the early adult lifespan. Interestingly, we found nonlinear grey matter structural dynamics specifically in parts of the brain that have been extensively discussed in the context of learning and memory. We propose a hypothesis in relation to the functional role of these brain regions that may explain these results.",
keywords = "Adult, Humans, Male, Aged, Female, Middle Aged, Aged, 80 and over, Young Adult, Magnetic Resonance Imaging, Image Interpretation, Computer-Assisted, *Brain Mapping, *Aging, Brain/*anatomy & histology, Nonlinear Dynamics, Neural Pathways/*anatomy & histology, Adult, Humans, Male, Aged, Female, Middle Aged, Aged, 80 and over, Young Adult, Magnetic Resonance Imaging, Image Interpretation, Computer-Assisted, *Brain Mapping, *Aging, Brain/*anatomy & histology, Nonlinear Dynamics, Neural Pathways/*anatomy & histology",
author = "Gabriel Ziegler and Robert Dahnke and Lutz J{\"a}ncke and Yotter, {Rachel Aine} and Arne May and Christian Gaser",
year = "2012",
language = "English",
volume = "33",
pages = "2377--2389",
journal = "HUM BRAIN MAPP",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Brain structural trajectories over the adult lifespan.

AU - Ziegler, Gabriel

AU - Dahnke, Robert

AU - Jäncke, Lutz

AU - Yotter, Rachel Aine

AU - May, Arne

AU - Gaser, Christian

PY - 2012

Y1 - 2012

N2 - The aim of this large-sample cross-sectional voxel-based morphometry (VBM) study of anatomical brain data was to investigate linear and nonlinear age-related trajectories of grey matter volume in the human brain during the adult lifespan. To date, there are only a few structural brain studies investigating local nonlinear aspects at the voxel level, i.e., without using anatomical ROIs as a priori hypothesis. Therefore, we analyzed 547 T1-weighted MR images of healthy adult brains with an age range of 19 to 86 years, including 161 scans of subjects with ages 60 and older. We found that the gray matter volume in some regions did not linearly decrease over time, but rather exhibited a delayed decline. Nonlinear age trajectories were observed in the medial temporal lobe regions, the basal ganglia, and parts of the cerebellum. Their trajectories indicated a preservation of grey matter volume during the early adult lifespan. Interestingly, we found nonlinear grey matter structural dynamics specifically in parts of the brain that have been extensively discussed in the context of learning and memory. We propose a hypothesis in relation to the functional role of these brain regions that may explain these results.

AB - The aim of this large-sample cross-sectional voxel-based morphometry (VBM) study of anatomical brain data was to investigate linear and nonlinear age-related trajectories of grey matter volume in the human brain during the adult lifespan. To date, there are only a few structural brain studies investigating local nonlinear aspects at the voxel level, i.e., without using anatomical ROIs as a priori hypothesis. Therefore, we analyzed 547 T1-weighted MR images of healthy adult brains with an age range of 19 to 86 years, including 161 scans of subjects with ages 60 and older. We found that the gray matter volume in some regions did not linearly decrease over time, but rather exhibited a delayed decline. Nonlinear age trajectories were observed in the medial temporal lobe regions, the basal ganglia, and parts of the cerebellum. Their trajectories indicated a preservation of grey matter volume during the early adult lifespan. Interestingly, we found nonlinear grey matter structural dynamics specifically in parts of the brain that have been extensively discussed in the context of learning and memory. We propose a hypothesis in relation to the functional role of these brain regions that may explain these results.

KW - Adult

KW - Humans

KW - Male

KW - Aged

KW - Female

KW - Middle Aged

KW - Aged, 80 and over

KW - Young Adult

KW - Magnetic Resonance Imaging

KW - Image Interpretation, Computer-Assisted

KW - Brain Mapping

KW - Aging

KW - Brain/anatomy & histology

KW - Nonlinear Dynamics

KW - Neural Pathways/anatomy & histology

KW - Adult

KW - Humans

KW - Male

KW - Aged

KW - Female

KW - Middle Aged

KW - Aged, 80 and over

KW - Young Adult

KW - Magnetic Resonance Imaging

KW - Image Interpretation, Computer-Assisted

KW - Brain Mapping

KW - Aging

KW - Brain/anatomy & histology

KW - Nonlinear Dynamics

KW - Neural Pathways/anatomy & histology

M3 - SCORING: Journal article

VL - 33

SP - 2377

EP - 2389

JO - HUM BRAIN MAPP

JF - HUM BRAIN MAPP

SN - 1065-9471

IS - 10

M1 - 10

ER -