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The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder

Research output: Contribution to journalArticle

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The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder. / Ecker, C; Shahidiani, A; Feng, Y; Daly, E; Murphy, Clodagh; D'Almeida, V; Deoni, S; Williams, Steven; Gillan, N; Gudbrandsen, M; Wichers, R; Andrews, D; Van Hemert, L; Murphy, D G M.

In: Journal of Neural Transmission, Vol. 121, No. 9, 09.2014, p. 1157-1170.

Research output: Contribution to journalArticle

Harvard

Ecker, C, Shahidiani, A, Feng, Y, Daly, E, Murphy, C, D'Almeida, V, Deoni, S, Williams, S, Gillan, N, Gudbrandsen, M, Wichers, R, Andrews, D, Van Hemert, L & Murphy, DGM 2014, 'The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder', Journal of Neural Transmission, vol. 121, no. 9, pp. 1157-1170. https://doi.org/10.1007/s00702-014-1207-1

APA

Ecker, C., Shahidiani, A., Feng, Y., Daly, E., Murphy, C., D'Almeida, V., ... Murphy, D. G. M. (2014). The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder. Journal of Neural Transmission, 121(9), 1157-1170. https://doi.org/10.1007/s00702-014-1207-1

Vancouver

Ecker C, Shahidiani A, Feng Y, Daly E, Murphy C, D'Almeida V et al. The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder. Journal of Neural Transmission. 2014 Sep;121(9):1157-1170. https://doi.org/10.1007/s00702-014-1207-1

Author

Ecker, C ; Shahidiani, A ; Feng, Y ; Daly, E ; Murphy, Clodagh ; D'Almeida, V ; Deoni, S ; Williams, Steven ; Gillan, N ; Gudbrandsen, M ; Wichers, R ; Andrews, D ; Van Hemert, L ; Murphy, D G M. / The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder. In: Journal of Neural Transmission. 2014 ; Vol. 121, No. 9. pp. 1157-1170.

Bibtex Download

@article{84bb717d144243eebab44e75573dcb92,
title = "The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder",
abstract = "Autism spectrum disorder (ASD) is a lifelong neurodevelopmental condition that is accompanied by an atypical development of brain maturation. So far, brain development has mainly been studied during early childhood in ASD, and using measures of total or lobular brain volume. However, cortical volumetric measures are a product of two distinct biological neuroanatomical features, cortical thickness, and surface area, which most likely also have different neurodevelopmental trajectories in ASD. Here, we therefore examined age-related differences in cortical thickness and surface area in a cross-sectional sample of 77 male individuals with ASD ranging from 7 to 25 years of age, and 77 male neurotypical controls matched for age and FSIQ. Surface-based measures were analyzed using a general linear model (GLM) including linear, quadratic, and cubic age terms, as well as their interactions with the main effect of group. When controlling for the effects of age, individuals with ASD had spatially distributed reductions in cortical thickness relative to controls, particularly in fronto-temporal regions, and also showed significantly reduced surface area in the prefrontal cortex and the anterior temporal lobe. We also observed significant group × age interactions for both measures. However, while cortical thickness was best predicted by a quadratic age term, the neurodevelopmental trajectory for measures of surface area was mostly linear. Our findings suggest that ASD is accompanied by age-related and region-specific reductions in cortical thickness and surface area during childhood and early adulthood. Thus, differences in the neurodevelopmental trajectory of maturation for both measures need to be taken into account when interpreting between-group differences overall.",
author = "C Ecker and A Shahidiani and Y Feng and E Daly and Clodagh Murphy and V D'Almeida and S Deoni and Steven Williams and N Gillan and M Gudbrandsen and R Wichers and D Andrews and {Van Hemert}, L and Murphy, {D G M}",
year = "2014",
month = "9",
doi = "10.1007/s00702-014-1207-1",
language = "English",
volume = "121",
pages = "1157--1170",
journal = "Journal of Neural Transmission",
issn = "0300-9564",
number = "9",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder

AU - Ecker, C

AU - Shahidiani, A

AU - Feng, Y

AU - Daly, E

AU - Murphy, Clodagh

AU - D'Almeida, V

AU - Deoni, S

AU - Williams, Steven

AU - Gillan, N

AU - Gudbrandsen, M

AU - Wichers, R

AU - Andrews, D

AU - Van Hemert, L

AU - Murphy, D G M

PY - 2014/9

Y1 - 2014/9

N2 - Autism spectrum disorder (ASD) is a lifelong neurodevelopmental condition that is accompanied by an atypical development of brain maturation. So far, brain development has mainly been studied during early childhood in ASD, and using measures of total or lobular brain volume. However, cortical volumetric measures are a product of two distinct biological neuroanatomical features, cortical thickness, and surface area, which most likely also have different neurodevelopmental trajectories in ASD. Here, we therefore examined age-related differences in cortical thickness and surface area in a cross-sectional sample of 77 male individuals with ASD ranging from 7 to 25 years of age, and 77 male neurotypical controls matched for age and FSIQ. Surface-based measures were analyzed using a general linear model (GLM) including linear, quadratic, and cubic age terms, as well as their interactions with the main effect of group. When controlling for the effects of age, individuals with ASD had spatially distributed reductions in cortical thickness relative to controls, particularly in fronto-temporal regions, and also showed significantly reduced surface area in the prefrontal cortex and the anterior temporal lobe. We also observed significant group × age interactions for both measures. However, while cortical thickness was best predicted by a quadratic age term, the neurodevelopmental trajectory for measures of surface area was mostly linear. Our findings suggest that ASD is accompanied by age-related and region-specific reductions in cortical thickness and surface area during childhood and early adulthood. Thus, differences in the neurodevelopmental trajectory of maturation for both measures need to be taken into account when interpreting between-group differences overall.

AB - Autism spectrum disorder (ASD) is a lifelong neurodevelopmental condition that is accompanied by an atypical development of brain maturation. So far, brain development has mainly been studied during early childhood in ASD, and using measures of total or lobular brain volume. However, cortical volumetric measures are a product of two distinct biological neuroanatomical features, cortical thickness, and surface area, which most likely also have different neurodevelopmental trajectories in ASD. Here, we therefore examined age-related differences in cortical thickness and surface area in a cross-sectional sample of 77 male individuals with ASD ranging from 7 to 25 years of age, and 77 male neurotypical controls matched for age and FSIQ. Surface-based measures were analyzed using a general linear model (GLM) including linear, quadratic, and cubic age terms, as well as their interactions with the main effect of group. When controlling for the effects of age, individuals with ASD had spatially distributed reductions in cortical thickness relative to controls, particularly in fronto-temporal regions, and also showed significantly reduced surface area in the prefrontal cortex and the anterior temporal lobe. We also observed significant group × age interactions for both measures. However, while cortical thickness was best predicted by a quadratic age term, the neurodevelopmental trajectory for measures of surface area was mostly linear. Our findings suggest that ASD is accompanied by age-related and region-specific reductions in cortical thickness and surface area during childhood and early adulthood. Thus, differences in the neurodevelopmental trajectory of maturation for both measures need to be taken into account when interpreting between-group differences overall.

U2 - 10.1007/s00702-014-1207-1

DO - 10.1007/s00702-014-1207-1

M3 - Article

C2 - 24752753

VL - 121

SP - 1157

EP - 1170

JO - Journal of Neural Transmission

JF - Journal of Neural Transmission

SN - 0300-9564

IS - 9

ER -

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