Mapping brain maturation.
By Arthur W. Toga, Paul M. Thompson, Elizabeth R. Sowell. Trends in Neurosciences, 2006
919 citations recorded by the source corpus.
Subfields: Developmental Neuroscience, Education, Genetics
View Paper: https://www.semanticscholar.org/paper/d9a48d1eeb06533b7433cb7d9a70c0a2a017b44b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental Neuroscience
- Charlotte A. Boettiger
- Heidi Johansen-Berg
- Fulton Crews
- Christian Gaser
- Catherine Lebel
- Jun He
- Kirk I. Erickson
- C. Hodge
In Education
- M. Stel
- M. Veenman
- Dorret I. Boomsma
- Sarah-Jayne Blakemore
- T. Charman
- S. Choudhury
- Harlene Hayne
- Claudia M. Roebers
In Genetics
Citations in the corpus
- Age-related changes in the effect of ostracism (2011, result): “For example, in contrast to the traditional view that the human brain was fully mature by the age of 18, more recent research has shown that both structural and functional changes continue to occur until at least the early 20s (Giedd, 2008 ; Toga, Thompson, & Sowell, 2006 ).”
- Longitudinal changes in grey and white matter during adolescence (2010, positive): “Inconsistent findings reflect the need for more targeted studies and highlight the importance of longitudinal studies to enable the reconstruction of the dynamic course and anatomical sequence of the developing brain (Toga et al., 2006).”
- Brain anatomy differences in childhood stuttering (2008, methodology): “Because gray matter density and thickness change with age in the left hemisphere during childhood (Sowell et al., 2003, 2004; Toga et al., 2006), we examined relationships in GMV between brain regions involved in speech production within each group by computing Pearson r correlation coefficients bet”
- Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters (2010, positive): “…results support the hypothesis of normal age-related GM decline being inversely related to the phylogenetic origin of each respective region, with younger structures being the last to mature as well as being more vulnerable to neurodegeneration (see also Terribilli et al., 2009; Toga et al., 2006).”
- Social cognitive development during adolescence. (2006, background): “This is followed by a decline in GM volume during adolescence (Giedd et al., 1999; Sowell et al., 2003; Gogtay et al., 2004; Toga et al., 2006).”
- Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: the orbitofronto-striatal model revisited. (2008, background): “Additionally differences in striatal findings may be related to age differences between samples, which are known to have an effect on striatal volume (Toga et al., 2006).”
- Adolescent cortical development: a critical period of vulnerability for addiction. (2007, background): “The human visual cortex reaches a peak of synaptic overproduction around the 4th month after birth followed by synaptic elimination starting after that and continuing until preschool age at which time synaptic density stabilizes to adult levels (Toga et al., 2006).”
- Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. (2007, background): “The changes may be especially prominent as they occur in brains that are still developing during adolescence, especially in the (sensori)motor-related areas (Sowell et al., 2001; Paus, 2005; Toga et al., 2006).”
- Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan (2019, positive): “, 2016), as well as to brain development (Courchesne et al., 2000; Sowell et al., 2001; Toga et al., 2006).”
- Impulsivity, Frontal Lobes and Risk for Addiction (2009, background): “parietal areas of language and spatial orientation around 11–13 years of age and frontal areas involved in integrating information from senses, reasoning, and other “executive functions” maturing last, during late adolescence (Gogtay et al., 2004; Toga et al., 2006).”
- Microstructural maturation of the human brain from childhood to adulthood (2008, positive): “Adolescence is thought to be a time of cortical pruning (Toga et al., 2006), and previous studies of cortical gray matter volume have shown inverted U-shaped curves representing age-volume changes, with age of peak volume depending on brain region (Giedd et al.”