Review article
The Teen Brain: Insights from Neuroimaging

https://doi.org/10.1016/j.jadohealth.2008.01.007Get rights and content

Abstract

Few parents of a teenager are surprised to hear that the brain of a 16-year-old is different from the brain of an 8-year-old. Yet to pin down these differences in a rigorous scientific way has been elusive. Magnetic resonance imaging, with the capacity to provide exquisitely accurate quantifications of brain anatomy and physiology without the use of ionizing radiation, has launched a new era of adolescent neuroscience. Longitudinal studies of subjects from ages 3–30 years demonstrate a general pattern of childhood peaks of gray matter followed by adolescent declines, functional and structural increases in connectivity and integrative processing, and a changing balance between limbic/subcortical and frontal lobe functions, extending well into young adulthood. Although overinterpretation and premature application of neuroimaging findings for diagnostic purposes remains a risk, converging data from multiple imaging modalities is beginning to elucidate the implications of these brain changes on cognition, emotion, and behavior.

Section snippets

NIMH Child Psychiatry Branch Longitudinal Brain Imaging Project

Begun in 1989 under the direction of Markus Krusei, M.D., the Child Psychiatry Branch (CPB) of the National Institute of Mental Health has been conducting a longitudinal study of brain development in health and illness. The study design is for participants to come to the National Institutes of Health at approximately 2-year intervals for brain imaging, neuropsychologic and behavioral assessment, and collection of DNA. As of September 2007, we have acquired approximately 5000 scans from 2000

Total Cerebral Volume

In the CPB cohort, total cerebral volume peaks at 10.5 years in girls and 14.5 years in boys [1]. By age 6 years, the brain is at approximately 95% of this peak (Figure 1a). Total cerebral volume decreases during adolescence were not previously detected with postmortem data [2], [3] or cross-sectional MRI studies [4], [5]. Consistent with the adult neuroimaging literature [6], mean total cerebral volume is approximately 10% larger in boys. Total brain size differences should not be interpreted

Summary of sMRI Changes Occurring in the Second Decade

In the typically developing CPB cohort, total cerebral and GM volumes peak during the ages from 10–20 years, whereas WM and ventricular volumes increase. Age of peak size for GM volumes differs, varies by region, and is generally earlier in females than in males.

Genes and Environment

To discern the relative contributions of genetic and nongenetic influences on trajectories of brain development, we are conducting a longitudinal neuroimaging study of monozygotic (MZ) and dizygotic (DZ) twins. To date we have acquired approximately 600 scans from 90 MZ and 60 DZ twin pairs. Correlation differences between MZ and DZ twins are analyzed with structural equation modeling to estimate the relative contributions to phenotypic variance of additive genetic (A), shared environmental

Discussion

Three themes emerge from the cumulative neuroimaging research of adolescents, each buttressed by behavioral, EEG, and postmortem studies.

The first is an increase in associative cognitive activity as distributed brain modules become more and more integrated [70]. This increased connectivity is reflected by the WM changes, with fMRI studies suggesting more extensive neural networks, and by increased EEG coherence (reviewed in [71]). If we consider a literary/linguistic metaphor, maturation would

Addendum: Technical Aspects, Analysis, and Modalities of Imaging

The term magnetic resonance imaging (MRI), if not specifically qualified as a different type, usually refers to the technique that yields different signal intensities for different tissue types (i.e., white matter [WM], gray matter [GM], or cerebrospinal fluid [CSF]). It is sometimes referred to as structural MRI (sMRI) or anatomic MRI to distinguish it from the more recent variants, such as diffusion tensor imaging (DTI), magnetization transfer (MT), or functional MRI (fMRI).

The DTI technique

References (87)

  • C. Beaulieu et al.

    Imaging brain connectivity in children with diverse reading ability

    Neuroimage

    (2005)
  • G.K. Deutsch et al.

    Children’s reading performance is correlated with white matter structure measured by diffusion tensor imaging

    Cortex

    (2005)
  • S.N. Niogi et al.

    Left lateralized white matter microstructure accounts for individual differences in reading ability and disability

    Neuropsychologia

    (2006)
  • P. Mukherjee et al.

    Diffusion tensor imaging and tractography of human brain development

    Neuroimaging Clin North Am

    (2006)
  • J.L. McGaugh et al.

    Amygdala modulation of memory consolidation: interaction with other brain systems

    Neurobiol Learn Mem

    (2002)
  • R.A. Poldrack et al.

    Competition among multiple memory systems: converging evidence from animal and human brain studies

    Neuropsychologia

    (2003)
  • J.K. Morse et al.

    Gonadal steroids influence axonal sprouting in the hippocampal dentate gyrus: a sexually dimorphic response

    Exp Neurol

    (1986)
  • J.E. Schmitt et al.

    A multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample

    Neuroimage

    (2007)
  • P. Rakic

    A small step for the cell, a giant leap for mankind: a hypothesis of neocortical expansion during evolution

    Trends Neurosci

    (1995)
  • G. Fishell

    Regionalization in the mammalian telencephalon

    Curr Opin Neurobiol

    (1997)
  • P. Shaw et al.

    Cortical morphology in children and adolescents with different apolipoprotein E gene polymorphisms: an observational study

    Lancet Neurol

    (2007)
  • T. Paus

    Mapping brain maturation and cognitive development during adolescence

    Trends Cogn Sci

    (2005)
  • P.R. Huttenlocher et al.

    Synaptogenesis in human visual cortex—evidence for synapse elimination during normal development

    Neurosci.Lett

    (1982)
  • W.J. Hudspeth et al.

    Psychophysiological indices of cerebral maturation

    Int J Psychophysiol

    (1992)
  • E. Courchesne

    Neurophysiological correlates of cognitive development: changes in long-latency event-related potentials from childhood to adulthood

    Electroencephalogr Clin Neurophysiol

    (1978)
  • D. Cohen et al.

    Demonstration of useful differences between magnetoencephalogram and electroencephalogram

    Electroencephalogr Clin Neurophysiol

    (1983)
  • A.S. Dekaban

    Tables of cranial and orbital measurements, cranial volume, and derived indexes in males and females from 7 days to 20 years of age

    Ann Neurol

    (1977)
  • A.S. Dekaban et al.

    Changes in brain weight during the span of human life: relation of brain weights to body heights and body weights

    Ann Neurol

    (1978)
  • T.L. Jernigan et al.

    Late childhood changes in brain morphology observable with MRI

    Dev.Med Child Neurol

    (1990)
  • J.N. Giedd et al.

    Quantitative magnetic resonance imaging of human brain development: ages 4–18

    Cereb Cortex

    (1996)
  • J.M. Goldstein et al.

    Normal sexual dimorphism of the adult human brain assessed by in vivo magnetic resonance imaging

    Cereb Cortex

    (2001)
  • S. Mackie et al.

    Cerebellar development and clinical outcome in attention deficit hyperactivity disorder

    Am J Psychiatry

    (2007)
  • J.D. Schmahmann

    Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome

    J Neuropsychiatry Clin Neurosci

    (2004)
  • D. Riva et al.

    The cerebellum contributes to higher functions during development: evidence from a series of children surgically treated for posterior fossa tumours

    Brain

    (2000)
  • F.A. Middleton et al.

    Cerebellar projections to the prefrontal cortex of the primate

    J Neurosci

    (2001)
  • R.D. Fields et al.

    New insights into neuron–glia communication

    Science

    (2002)
  • A. Pfefferbaum et al.

    A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood

    Arch.Neurol

    (1994)
  • A.L. Reiss et al.

    Brain development, gender and IQ in childrenA volumetric imaging study

    Brain

    (1996)
  • J.N. Giedd et al.

    Brain development during childhood and adolescence: a longitudinal MRI study

    Nat Neurosci

    (1999)
  • E.R. Sowell et al.

    Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: inverse relationships during postadolescent brain maturation

    J Neurosci

    (2001)
  • E.R. Sowell et al.

    Mapping cortical change across the human life span

    Nat Neurosci

    (2003)
  • P.M. Thompson et al.

    Growth patterns in the developing brain detected by using continuum mechanical tensor maps

    Nature

    (2000)
  • G. Berlucchi

    Interhemispheric asymmetries in visual discrimination: a neurophysiological hypothesis

    Doc Opthal Proc Ser

    (1981)
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