2013
Brain development and aging: Overlapping and unique patterns of change
Abstract: Early-life development is characterized by dramatic changes, impacting lifespan function more than changes inany other period. Developmental origins of neurocognitive late-life functions are acknowledged, but detailed longitudinal magnetic resonance imaging studies of brain maturation and direct comparisons with aging are lacking. To these aims, a novel method was used to measure longitudinal volume changes in development (n = 85, 8–22 years) and aging (n = 142, 60–91 years). Developmental reductions exceeded …
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Cited by 301 publications
(305 citation statements)
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“…This region displayed the highest gray matter volume in late childhood and early adolescence, and showed consistent decreases in gray matter volume (1.2-1.7% per year) across the teen years before decelerating in the early twenties. This finding is consistent with findings from other longitudinal samples, which have shown decreasing gray matter volume in the PFC between late childhood and early adulthood [5,29]. Comparing all three ROIs at a group level, these data lend support to a structural mismatch in developmental timing between the amygdala and the PFC, but do not provide evidence of a clear structural mismatch between the NAcc and the PFC during adolescence, since both regions continue to show volume change into early adulthood.…”
Section: Discussionsupporting
confidence: 93%
“…This region displayed the highest gray matter volume in late childhood and early adolescence, and showed consistent decreases in gray matter volume (1.2-1.7% per year) across the teen years before decelerating in the early twenties. This finding is consistent with findings from other longitudinal samples, which have shown decreasing gray matter volume in the PFC between late childhood and early adulthood [5,29]. Comparing all three ROIs at a group level, these data lend support to a structural mismatch in developmental timing between the amygdala and the PFC, but do not provide evidence of a clear structural mismatch between the NAcc and the PFC during adolescence, since both regions continue to show volume change into early adulthood.…”
Section: Discussionsupporting
confidence: 93%
“…For the NAcc, the best fitting group model displayed a linear decrease in volume throughout the studied age range (8-25 years). This result is similar to that found in previous longitudinal studies of NAcc structural development [5,6], which also reported linear decreases in adolescence, although there have been contrasting results [7,8]. Taken together, the current report and previous studies suggest that, at a group level, the NAcc decreases in volume between adolescence and adulthood, whereas it is likely that the amygdala increases in late childhood and early adolescence before stabilizing in volume by mid-to-late adolescence, with significant interindividual variability in the development of both regions.…”
Section: Discussionsupporting
confidence: 93%
“…We additionally observed that females in earlier phases of puberty showed an earlier peak in caudate volume compared to peers. This supports the notion that puberty, in particular testosterone, may be the driving source behind previously observed inverted-U shaped trajectory in this structure (Tamnes et al, 2013;Lenroot et al, 2007;Wierenga et al, 2014). These results are in line with findings of Herting et al (2014), who showed an interaction effect of age by puberty (Tanner stage and testosterone).…”
Section: Discussionsupporting
confidence: 92%
“…Likewise the proportion of subjects undergoing increases, decreases or no change remained consistent across each age bin, in keeping with a linear fit. These longitudinal findings in the nucleus accumbens also match the linear fit in our cross‐sectional sample, as well as in previous longitudinal samples finding linear decreases of volume across similar age ranges [Goddings et al, ; Tamnes et al, ; Wierenga et al, ].…”
Section: Discussionsupporting
confidence: 91%
