Diffusion tensor imaging of neurodevelopment in children and young adults

Snook, Lindsay; Paulson, Lori-Anne; Roy, Dawne; Phillips, Linda M.; Beaulieu, Christian

doi:10.1016/j.neuroimage.2005.03.016

Cited by 317 publications

(314 citation statements)

References 35 publications

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“…The present study found increases in signal intensity over time in the caudate nucleus, suggesting improved myelination of fibers supporting inter-and intrastructure communication [Mukherjee et al, 2001]. This is consistent with previous research that indicates increasing fractional anisotropy, a known indicator of white matter integrity, in the caudate during the first two decades of life [Mukherjee et al, 2001;Snook et al, 2005]. The structural and functional maturation of the caudate and its connections have been related directly to improvements in performance on the Stroop task [Blumberg et al, 2003] and inhibitory control [Durston et al, 2002].…”

Section: Discussionsupporting

confidence: 92%

Anatomical changes in the emerging adult brain: A voxel‐based morphometry study

Bennett¹,

Baird²

2005

Human Brain Mapping

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Abstract:Research has consistently confirmed changes occur in brain morphometry between adolescence and adulthood. The purpose of the present study was to explore anatomical change during a specific environmental transition. High-resolution T1-weighted structural magnetic resonance imaging (MRI) scans were acquired from 19 participants (mean age at initial scan ϭ 18.6 years) during their freshman year. Scans were completed during the fall term and 6 months later before the conclusion of the school year. Voxel-based morphometry was used to assess within-subject change. Significant intensity increases were observed along the right midcingulate, inferior anterior cingulate gyrus, right caudate head, right posterior insula, and bilateral claustrum. Regional changes were not observed in two control groups; one controlling for method and another controlling for age-specific change over time. The results suggest that significant age-related changes in brain structure continue after the age of 18 and may represent dynamic changes related to new environmental challenges. Findings from the regions of change are discussed in the context of specific environmental demands during a period of normative maturation. Hum Brain Mapp 27: 766 -777, 2006.

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Section: Discussionsupporting

confidence: 92%

Anatomical changes in the emerging adult brain: A voxel‐based morphometry study

Bennett¹,

Baird²

2005

Human Brain Mapping

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“…One of our findings, which replicated previous studies, was the more abrupt increase of complexity values from infancy to adolescence and young adulthood, especially in anterior brain regions. A similar, steeper increase of FA values from infancy to adolescence has been found in some studies (Lebel et al, 2008;McGraw et al, 2002;Snook et al, 2005). Also, our results showed that complexity peaks were reached at an earlier age in anterior brain regions, and therefore complexity decline started earlier there.…”

Section: Discussionsupporting

confidence: 91%

Brain oscillatory complexity across the life span

Fernández

Zuluaga

Abásolo

et al. 2012

Clinical Neurophysiology

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Objective: Considering the increasing use of complexity estimates in neuropsychiatric populations, a normative study is critical to define the 'normal' behaviour of brain oscillatory complexity across the life span. Method:This study examines changes in resting-state magnetoencephalogram (MEG) complexity -quantified with the Lempel-Ziv complexity (LZC) algorithm -due to age and gender in a large sample of 222 (100 males/122 females) healthy participants with ages ranging from 7 to 84 years.Results: A significant quadratic (curvilinear) relationship (p < 0.05) between age and complexity was found, with LZC maxima being reached by the sixth decade of life.Once that peak was crossed, complexity values slowly decreased until late senescence.Females exhibited higher LZC values than males, with significant differences in the anterior, central and posterior regions (p < 0.05). Conclusions:These results suggest that the evolution of brain oscillatory complexity across the life span might be considered a new illustration of a 'normal' physiological rhythm.Significance: Previous and forthcoming clinical studies using complexity estimates might be interpreted from a more complete and dynamical perspective. Pathologies not 3 only cause an 'abnormal' increase or decrease of complexity values but they actually 'break' the 'normal' pattern of oscillatory complexity evolution as a function of age.Keywords: Life Span, Ageing, Complexity, Brain Development, White Matter Development Highlights 1. A significant quadratic (curvilinear) relationship between age and oscillatory complexity exists, with complexity maxima reached by the sixth decade of life.2. As in previous studies, females exhibit higher complexity values than males, at least in some brain regions.3. The evolution of oscillatory complexity across the life span is interpreted as a physiological rhythm which is altered by several brain pathologies.

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“…17 Axonal myelination continues through adolescence into the early 20s, and is susceptible to disruption by injury. 10,[18][19][20][21][22] Early results from the Professional Fighters Brain Health Study, a 5-year longitudinal study of boxers and mixed martial arts fighters, who experienced repetitive subconcussive injuries as well as concussions, indicate that earlier age of first exposure to competitive boxing correlates with greater loss of caudate volume and greater axonal damage in the frontal lobe. 23,24 The young brain also has features that contribute to its resilience.…”

Section: Susceptibility and Resilience Of Young Brainsmentioning

confidence: 99%