Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood
By Catherine Lebel, Christian Beaulieu. Journal of Neuroscience, 2011
1,154 citations recorded by the source corpus.
Subfields: Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9ba6804338e3a7eeb345a129f74cd89adaa4867b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Nuclear and High Energy Physics
In Radiology, Nuclear Medicine and Imaging
- Sarah-Jayne Blakemore
- Iroise Dumontheil
- Sean C. L. Deoni
- Catherine Lebel
- Christian Beaulieu
- R. J. Von Der Heide
- Ghislaine Dehaene-Lambertz
- Armin Raznahan
Citations in the corpus
- Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology (2021, neutral): “…emotional and executive functions, such as the uncinate fasciculi and the cingulum bundles, exhibit their largest increases in FA and decreases in MD from adolescence until approximately the mid-thirties (Kochunov et al., 2012; Lebel and Beaulieu, 2011; Simmonds et al., 2014; Slater et al., 2019).”
- The cingulum bundle: Anatomy, function, and dysfunction (2018, neutral): “Diffusion imaging studies have revealed an extended period of cingulum maturation through adolescence and beyond, often not reaching its adult characteristics until the mid twenties or later (Lebel and Beaulieu, 2011; Lebel et al., 2012).”
- Diffusion tensor imaging of white matter tract evolution over the lifespan (2012, background): “In a subsample of this population with longitudinal data, we showed continued brain development into the twenties for most association tracts (Lebel and Beaulieu, 2011).”
- Harmonization of multi-site diffusion tensor imaging data (2017, background): “This is motivated by the problem of combining multi-site data for the study of life-span trajectories, for which it is common to observe nonlinear associations between age and imaging measurements (Westlye et al., 2009; Lebel et al., 2012).”
- Developmental Stages and Sex Differences of White Matter and Behavioral Development through Adolescence: A Longitudinal Diffusion Tensor Imaging (DTI) Study (2013, neutral): “, 2010) or repeated DTI measures at two time points (Bava et al., 2010; Giorgio et al., 2009; Lebel and Beaulieu, 2011; Wang et al., 2012), limiting the ability to characterize growth trajectories andmake direct inferences about developmental change.”
- Structural brain development between childhood and adulthood: Convergence across four longitudinal samples (2016, background): “Received 12 May 2016 Accepted 20 July 2016 Available online 22 July 2016 Longitudinal studies including brain measures acquired through magnetic resonance imaging (MRI) have enabled population models of human brain development, crucial for our understanding of typical development as well as neurodev”
- The Development of Brain White Matter Microstructure (2018, background): “While white matter volume increases during childhood and adolescence (Giedd and Rapoport, 2010; Lebel and Beaulieu, 2011), it follows a different trajectory than diffusion parameters (Taki et al.”
- The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. (2014, background): “, 1999, 2001; Paus, 2005, 2010; Giedd and Rapoport, 2010) and DTI (BarneaGoraly et al., 2005; Eluvathingal et al., 2007; Lebel et al., 2008; Faria et al., 2010; Lebel and Beaulieu, 2011).”
- Adolescent brain development (2016, background): “The first large longitudinal DTI study showed tract-specific non-linear developmental changes in FA and MD, with prolonged maturation of association tracts during adolescence, in particular frontal tracts [3].”
- Imaging brain development: The adolescent brain (2012, background): “Age-associated region-specific, linear and non-linear changes in white matter tracts (Giedd et al., 1999; Lebel and Beaulieu, 2011; Ostby et al., 2009; Paus et al., 1999) and cortical grey matter (volume, density, and thickness; Ostby et al., 2009; Paus, 2005; Shaw et al., 2008; Tamnes et al.,…”
- Development of the Cerebral Cortex across Adolescence: A Multisample Study of Inter-Related Longitudinal Changes in Cortical Volume, Surface Area, and Thickness (2017, background): “, 2011), while later longitudinal studies (Lebel and Beaulieu, 2011; Aubert-Broche et al., 2013; Tamnes et al., 2013; Mills et al., 2014a, 2016; Wierenga et al., 2014), as well as the current results, indicate that cortical volume is at its highest earlier in childhood and decreases in late childhoo”
- White matter changes in Alzheimer’s disease: a focus on myelin and oligodendrocytes (2018, neutral): “Diffusion tensor imaging studies show the development of association tracts in post-adolescent subjects [47].”
- Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis. (2013, background): “association tracts to mature, not reaching its developmental peak until the third decade of life (Lebel et al., 2008, 2012; Lebel and Beaulieu, 2011), which perhaps leaves it more susceptible to factors causing psychiatric illness during adolescence and young adulthood (Paus et al.”
- Development of the social brain during adolescence (2015, background): “Longitudinal MRI studies have shown that white matter volume increases during development until the third decade of life (Giedd et al., 1999; Lebel & Beaulieu, 2011).”
- Human alpha frequency and expression across the lifespan: a 2,172-participant electrophysiology-MRI atlas (2026, unknown): “This pattern is consistent with prolonged maturation of white-matter pathways [25-27], earlier alpha relations with white-matter architecture and visual pathways [21,22], and the tract-specific result of Caffarra et al., in which optic-radiation maturation accounted for developmental…”