Cited by 14Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

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

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Creze, Maud, Versheure, Leslie, Besson, Pierre, Sauvage, Chloe, Leclerc, Xavier, Jissendi‐Tchofo, Patrice·2014·Human Brain Mapping

Abstract

Brain functional and cytoarchitectural maturation continue until adulthood, but little is known about the evolution of the regional pattern of cortical thickness (CT), complexity (CC), and intensity or gradient (CG) in young adults. We attempted to detect global and regional age‐ and gender‐related variations of brain CT, CC, and CG, in 28 healthy young adults (19–33 years) using a three‐dimensional T1‐weighted magnetic resonance imaging sequence and surface‐based methods. Whole brain interindividual variations of CT and CG were similar to that in the literature. As a new finding, age‐ and gender‐related variations significantly affected brain complexity (P < 0.01) on posterior cingulate and middle temporal cortices (age), and the fronto‐orbital cortex (gender), all in the right hemisphere. Regions of interest analyses showed age and gender significant interaction (P < 0.05) on the temporopolar, inferior, and middle temporal‐entorrhinal cortices bilaterally, as well as left inferior parietal. In addition, we found significant inverse correlations between CT and CC and between CT and CG over the whole brain and markedly in precentral and occipital areas. Our findings differ in details from previous reports and may correlate with late brain maturation and learning plasticity in young adults' brain in the third decade. Hum Brain Mapp 35:2817–2835, 2014. © 2013 Wiley Periodicals, Inc.

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  • Prior studies show that during adolescence different brain regions reach peak gray matter volume at different rates, with concurrent neurophysiological changes.

    “Previous studies have shown that throughout the span of adolescence, different brain regions reach peak gray matter volume at distinct rates (Giedd, 2004, Gogtay et al., 2004, Creze et al., 2014), with concurrent changes in neurophysiology (Whitford et al., 2007).”

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Authors
Creze, M., Versheure, L., Besson, P., Sauvage, C., Leclerc, X., & Jissendi‐Tchofo, P.
Affiliations
  • Department of Radiology Neuroradiology Section, University Hospital North Amiens France
  • Department of Neuroradiology MRI 3T Research, Plateforme Imagerie du vivant, IMPRT IFR 114, University Hospital of Lille France
  • Centre Hospitalier Universitaire de Lille (FR)
  • Department of Neurology and Neurorevalidation Erasme Hospital, Free University of Brussels Brussels Belgium
Venue
Human Brain Mapping
Publisher
Wiley
Published
2013-10-18
Volume
35
Issue
6
Pages
2817-2835
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W1899785885
Cited by
14
References
97
Citations by year
2023: 1 · 2021: 3 · 2019: 4 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 2 · 2014: 1
FWCI
1.03
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
cortical thickness, cortical complexity, cortical gradients, brain maturation, young adults, age-related variation, sex differences, posterior cingulate cortex, middle temporal cortex, right hemisphere
MeSH terms
Adult, Aging, Brain, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Organ Size, Sex Characteristics, Young Adult

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