Literature DB >> 20347997

Differentiating maturational and aging-related changes of the cerebral cortex by use of thickness and signal intensity.

Lars T Westlye1, Kristine B Walhovd, Anders M Dale, Atle Bjørnerud, Paulina Due-Tønnessen, Andreas Engvig, Håkon Grydeland, Christian K Tamnes, Ylva Østby, Anders M Fjell.   

Abstract

Cortical thickness decreases from childhood throughout life, as estimated by magnetic resonance imaging (MRI). This monotone trajectory does not reflect the fundamentally different neurobiological processes underlying morphometric changes in development versus aging. We hypothesized that intracortical gray matter (GM) and subjacent white matter (WM) T1-weighted signal intensity would distinguish developmental and age-related changes in the cortex better than thickness. Intracortical GM and subjacent WM signal intensity and cortical thickness was measured across the brain surface in a healthy life span sample (n=429, 8-85 years). We also computed the relaxation rate of T2* (R2*) from multiecho sequences and mapped intracortical GM and subjacent WM values to the surface to delineate age-related variability in R2* and to adjust the T1 signal intensity for possible confounds of accumulated iron. While monotone age-related reductions in thickness were found, both intracortical GM and subcortical WM signal intensity showed inverted U patterns with peaks from eight to approximately 30 years of age. The spatial pattern of intracortical neurodevelopment followed a posterior-anterior gradient, with earliest maturation of occipital visual cortices and most protracted in superior frontal regions. From 50s and 60s, substantial signal reductions were observed in several regions, including the insula, cingulate, and inferior temporal gyrus. R2* showed similar patterns but peaked much later than the T1-weighted signal intensity measures. The results are presented as animations yielding detailed depictions of the dynamic regional variability in cortical neurodevelopment and aging and demonstrate that cortical thickness and T1-weighted signal intensity are sensitive to different cortical maturational and aging-related processes. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20347997     DOI: 10.1016/j.neuroimage.2010.03.056

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  72 in total

1.  Accelerated changes in white matter microstructure during aging: a longitudinal diffusion tensor imaging study.

Authors:  Claire E Sexton; Kristine B Walhovd; Andreas B Storsve; Christian K Tamnes; Lars T Westlye; Heidi Johansen-Berg; Anders M Fjell
Journal:  J Neurosci       Date:  2014-11-12       Impact factor: 6.167

2.  Genetic and environmental influences of white and gray matter signal contrast: a new phenotype for imaging genetics?

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Thomas S Kubarych; Chi-Hua Chen; Lisa T Eyler; Bruce Fischl; Carol E Franz; Michael D Grant; Samar Hamza; Amy Jak; Terry L Jernigan; Michael J Lyons; Michael C Neale; Elizabeth C Prom-Wormley; Larry Seidman; Ming T Tsuang; Hao Wu; Hong Xian; Anders M Dale; William S Kremen
Journal:  Neuroimage       Date:  2012-02-08       Impact factor: 6.556

3.  [fMRI and DTI in delayed development of number processing].

Authors:  C M Krick; A Neuhaus; C Klewin; T Wörner; S Kreis; W Reith
Journal:  Radiologe       Date:  2015-09       Impact factor: 0.635

4.  Magnetic resonance imaging texture predicts progression to dementia due to Alzheimer disease earlier than hippocampal volume

Authors:  Subin Lee; Hyunna Lee; Ki Woong Kim
Journal:  J Psychiatry Neurosci       Date:  2020-01-01       Impact factor: 6.186

5.  Genetic associations between intelligence and cortical thickness emerge at the start of puberty.

Authors:  Rachel M Brouwer; Inge L C van Soelen; Suzanne C Swagerman; Hugo G Schnack; Erik A Ehli; René S Kahn; Hilleke E Hulshoff Pol; Dorret I Boomsma
Journal:  Hum Brain Mapp       Date:  2013-12-31       Impact factor: 5.038

6.  Age- and gender-related regional variations of human brain cortical thickness, complexity, and gradient in the third decade.

Authors:  Maud Creze; Leslie Versheure; Pierre Besson; Chloe Sauvage; Xavier Leclerc; Patrice Jissendi-Tchofo
Journal:  Hum Brain Mapp       Date:  2013-10-18       Impact factor: 5.038

7.  The human cerebral cortex flattens during adolescence.

Authors:  Yasser Alemán-Gómez; Joost Janssen; Hugo Schnack; Evan Balaban; Laura Pina-Camacho; Fidel Alfaro-Almagro; Josefina Castro-Fornieles; Soraya Otero; Immaculada Baeza; Dolores Moreno; Nuria Bargalló; Mara Parellada; Celso Arango; Manuel Desco
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

8.  Structural correlates of Openness and Intellect: Implications for the contribution of personality to creativity.

Authors:  Oshin Vartanian; Christopher J Wertz; Ranee A Flores; Erin L Beatty; Ingrid Smith; Kristen Blackler; Quan Lam; Rex E Jung
Journal:  Hum Brain Mapp       Date:  2018-04-15       Impact factor: 5.038

9.  Brain structural trajectories over the adult lifespan.

Authors:  Gabriel Ziegler; Robert Dahnke; Lutz Jäncke; Rachel Aine Yotter; Arne May; Christian Gaser
Journal:  Hum Brain Mapp       Date:  2011-09-06       Impact factor: 5.038

10.  Brain development and aging: overlapping and unique patterns of change.

Authors:  Christian K Tamnes; Kristine B Walhovd; Anders M Dale; Ylva Østby; Håkon Grydeland; George Richardson; Lars T Westlye; J Cooper Roddey; Donald J Hagler; Paulina Due-Tønnessen; Dominic Holland; Anders M Fjell
Journal:  Neuroimage       Date:  2012-12-12       Impact factor: 6.556

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