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ABSTRACT: Long-term instrumental music training is an intense, multisensory and motor experience that offers an ideal opportunity to study structural brain plasticity in the developing brain in correlation with behavioral changes induced by training. Here, for the first time, we demonstrate structural brain changes after only 15 months of musical training in early childhood, which were correlated with improvements in musically relevant motor and auditory skills. These findings shed light on brain plasticity, and suggest that structural brain differences in adult experts (whether musicians or experts in other areas) are likely due to training-induced brain plasticity.
Annals of the New York Academy of Sciences 08/2009; 1169:182-6. · 3.15 Impact Factor
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ABSTRACT: The human brain has the remarkable capacity to alter in response to environmental demands. Training-induced structural brain changes have been demonstrated in the healthy adult human brain. However, no study has yet directly related structural brain changes to behavioral changes in the developing brain, addressing the question of whether structural brain differences seen in adults (comparing experts with matched controls) are a product of "nature" (via biological brain predispositions) or "nurture" (via early training). Long-term instrumental music training is an intense, multisensory, and motor experience and offers an ideal opportunity to study structural brain plasticity in the developing brain in correlation with behavioral changes induced by training. Here we demonstrate structural brain changes after only 15 months of musical training in early childhood, which were correlated with improvements in musically relevant motor and auditory skills. These findings shed light on brain plasticity and suggest that structural brain differences in adult experts (whether musicians or experts in other areas) are likely due to training-induced brain plasticity.
Journal of Neuroscience 04/2009; 29(10):3019-25. · 7.11 Impact Factor
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ABSTRACT: There is a vigorous debate as to whether visual perception and imagery share the same neuronal networks, whether the primary visual cortex is necessarily involved in visual imagery, and whether visual imagery functions are lateralized in the brain. Two patients with brain damage from closed head injury were submitted to tests of mental imagery in the visual, tactile, auditory, gustatory, olfactory and motor domains, as well as to an extensive testing of cognitive functions. A computerized mapping procedure was used to localize the site and to assess the extent of the lesions. One patient showed pure visual mental imagery deficits in the absence of imagery deficits in other sensory domains as well as in the motor domain, while the other patient showed both visual and tactile imagery deficits. Perceptual, language, and memory deficits were conspicuously absent. Computerized analysis of the lesions showed a massive involvement of the left temporal lobe in both patients and a bilateral parietal lesion in one patient. In both patients the calcarine cortex with the primary visual area was bilaterally intact. Our study indicates that: (i) visual imagery deficits can occur independently from deficits of visual perception; (ii) visual imagery deficits can occur when the primary visual cortex is intact and (iii) the left temporal lobe plays an important role in visual mental imagery.
Cortex 03/2008; 44(2):109-18. · 6.08 Impact Factor
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ABSTRACT: Young healthy participants spontaneously use different strategies in a virtual radial maze, an adaptation of a task typically used with rodents. Functional magnetic resonance imaging confirmed previously that people who used spatial memory strategies showed increased activity in the hippocampus, whereas response strategies were associated with activity in the caudate nucleus. Here, voxel based morphometry was used to identify brain regions covarying with the navigational strategies used by individuals. Results showed that spatial learners had significantly more gray matter in the hippocampus and less gray matter in the caudate nucleus compared with response learners. Furthermore, the gray matter in the hippocampus was negatively correlated to the gray matter in the caudate nucleus, suggesting a competitive interaction between these two brain areas. In a second analysis, the gray matter of regions known to be anatomically connected to the hippocampus, such as the amygdala, parahippocampal, perirhinal, entorhinal and orbitofrontal cortices were shown to covary with gray matter in the hippocampus. Because low gray matter in the hippocampus is a risk factor for Alzheimer's disease, these results have important implications for intervention programs that aim at functional recovery in these brain areas. In addition, these data suggest that spatial strategies may provide protective effects against degeneration of the hippocampus that occurs with normal aging.
Journal of Neuroscience 10/2007; 27(38):10078-83. · 7.11 Impact Factor
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Philip Shaw,
Michele Gornick, Jason Lerch,
Anjene Addington,
Jeffrey Seal,
Deanna Greenstein,
Wendy Sharp,
Alan Evans,
Jay N Giedd,
F Xavier Castellanos,
Judith L Rapoport
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ABSTRACT: Attention-deficit/hyperactivity disorder (ADHD) is one of the most heritable neuropsychiatric disorders, and a polymorphism within the dopamine D4 receptor (DRD4) gene has been frequently implicated in its pathogenesis.
To examine the effects of the 7-repeat microsatellite in the DRD4 gene on clinical outcome and cortical development in ADHD. We drew comparisons with a single nucleotide polymorphism in the dopamine D1 receptor (DRD1) gene, which was associated with ADHD within our cohort, and a polymorphism within the dopamine transporter (DAT1) gene, reported to have additive effects with the DRD4 7-repeat allele.
Longitudinal cohort study.
National Institutes of Health, Bethesda, Maryland.
One hundred five children (with 222 neuroanatomical magnetic resonance images) with ADHD (mean age at entry, 10.1 years) and 103 healthy controls (total of 220 magnetic resonance images). Sixty-seven subjects with ADHD (64%) had follow-up clinical evaluations (mean follow-up, 6 years).
Cortical thickness across the cerebrum and presence of DSM-IV-defined ADHD at follow-up.
Possession of the DRD4 7-repeat allele was associated with a thinner right orbitofrontal/inferior prefrontal and posterior parietal cortex. This overlapped with regions that were generally thinner in subjects with ADHD compared with controls. Participants with ADHD carrying the DRD4 7-repeat allele had a better clinical outcome and a distinct trajectory of cortical development. This group showed normalization of the right parietal cortical region, a pattern that we have previously linked with better clinical outcome. By contrast, there were no significant effects of the DRD1 or DAT1 polymorphisms on clinical outcome or cortical development.
The DRD4 7-repeat allele, which is widely associated with a diagnosis of ADHD, and in our cohort with better clinical outcome, is associated with cortical thinning in regions important in attentional control. This regional thinning is most apparent in childhood and largely resolves during adolescence.
Archives of General Psychiatry 09/2007; 64(8):921-31. · 12.02 Impact Factor
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Rhoshel K Lenroot,
Nitin Gogtay,
Deanna K Greenstein,
Elizabeth Molloy Wells,
Gregory L Wallace,
Liv S Clasen,
Jonathan D Blumenthal, Jason Lerch,
Alex P Zijdenbos,
Alan C Evans,
Paul M Thompson,
Jay N Giedd
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ABSTRACT: Human total brain size is consistently reported to be approximately 8-10% larger in males, although consensus on regionally specific differences is weak. Here, in the largest longitudinal pediatric neuroimaging study reported to date (829 scans from 387 subjects, ages 3 to 27 years), we demonstrate the importance of examining size-by-age trajectories of brain development rather than group averages across broad age ranges when assessing sexual dimorphism. Using magnetic resonance imaging (MRI) we found robust male/female differences in the shapes of trajectories with total cerebral volume peaking at age 10.5 in females and 14.5 in males. White matter increases throughout this 24-year period with males having a steeper rate of increase during adolescence. Both cortical and subcortical gray matter trajectories follow an inverted U shaped path with peak sizes 1 to 2 years earlier in females. These sexually dimorphic trajectories confirm the importance of longitudinal data in studies of brain development and underline the need to consider sex matching in studies of brain development.
NeuroImage 08/2007; 36(4):1065-73. · 5.89 Impact Factor
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ABSTRACT: Childhood onset schizophrenia (COS) is a rare but severe form of the adult onset disorder. While structural brain imaging studies show robust, widespread, and progressive gray matter loss in COS during adolescence, there have been no longitudinal studies of sufficient duration to examine comparability with the more common adult onset illness.
Neuro-anatomic magnetic resonance scans were obtained prospectively from ages 7 through 26 in 70 children diagnosed with COS and age and sex matched healthy controls. Cortical thickness was measured at 40,962 points across the cerebral hemispheres using a novel, fully automated, validated method. Patterns of patient-control differences in cortical development were compared over a 19-year period.
Throughout the age range, the COS group had significantly smaller mean cortical thickness compared to controls. However, the COS brain developmental trajectory appeared to normalize in posterior (parietal) regions, and remained divergent in the anterior regions (frontal and temporal) regions, and the pattern of loss became more like that seen in adults.
Cortical thickness loss in COS appears to localize with age to prefrontal and temporal regions that are seen for both medication naïve and medicated adult onset patients.
Journal of Child Psychology and Psychiatry 11/2006; 47(10):1003-12. · 4.28 Impact Factor
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ABSTRACT: Data from a previous prospective study of lobar volumes in children with attention-deficit/hyperactivity disorder (ADHD) are reexamined using a measure of cortical thickness.
To determine whether regional differences in cortical thickness or cortical changes across time characterize ADHD and predict or reflect its clinical outcome.
Longitudinal study of 163 children with ADHD (mean age at entry, 8.9 years) and 166 controls recruited mainly from a local community in Maryland. Participants were assessed with magnetic resonance imaging. Ninety-seven patients with ADHD (60%) had 2 or more images and baseline and follow-up clinical evaluations (mean follow-up, 5.7 years).
Cortical thickness across the cerebrum. Patients with ADHD were divided into better and worse outcome groups on the basis of a mean split in scores on the Children's Global Assessment Scale and persistence/remission of DSM-IV-defined ADHD.
Children with ADHD had global thinning of the cortex (mean reduction, -0.09 mm; P=.02), most prominently in the medial and superior prefrontal and precentral regions. Children with worse clinical outcome had a thinner left medial prefrontal cortex at baseline than the better outcome group (-0.38 mm; P=.003) and controls (-0.25 mm; P=.002). Cortical thickness developmental trajectories did not differ significantly between the ADHD and control groups throughout except in the right parietal cortex, where trajectories converged. This normalization of cortical thickness occurred only in the better outcome group.
Children with ADHD show relative cortical thinning in regions important for attentional control. Children with a worse outcome have "fixed" thinning of the left medial prefrontal cortex, which may compromise the anterior attentional network and encumber clinical improvement. Right parietal cortex thickness normalization in patients with a better outcome may represent compensatory cortical change.
Archives of General Psychiatry 06/2006; 63(5):540-9. · 12.02 Impact Factor
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ABSTRACT: Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical objective for a wide variety of neuroimaging analysis purposes, including visualization, morphometry, and brain mapping. The Anatomic Segmentation using Proximity (ASP) algorithm, previously developed by our group, provides a topology-preserving cortical surface deformation method that has been extensively used for the aforementioned purposes. However, constraints in the algorithm to ensure topology preservation occasionally produce incorrect thickness measurements due to a restriction in the range of allowable distances between the gray and white matter surfaces. This problem is particularly prominent in pediatric brain images with tightly folded gyri. This paper presents a novel method for improving the conventional ASP algorithm by making use of partial volume information through probabilistic classification in order to allow for topology preservation across a less restricted range of cortical thickness values. The new algorithm also corrects the classification of the insular cortex by masking out subcortical tissues. For 70 pediatric brains, validation experiments for the modified algorithm, Constrained Laplacian ASP (CLASP), were performed by three methods: (i) volume matching between surface-masked gray matter (GM) and conventional tissue-classified GM, (ii) surface matching between simulated and CLASP-extracted surfaces, and (iii) repeatability of the surface reconstruction among 16 MRI scans of the same subject. In the volume-based evaluation, the volume enclosed by the CLASP WM and GM surfaces matched the classified GM volume 13% more accurately than using conventional ASP. In the surface-based evaluation, using synthesized thick cortex, the average difference between simulated and extracted surfaces was 4.6 +/- 1.4 mm for conventional ASP and 0.5 +/- 0.4 mm for CLASP. In a repeatability study, CLASP produced a 30% lower RMS error for the GM surface and a 8% lower RMS error for the WM surface compared with ASP.
NeuroImage 09/2005; 27(1):210-21. · 5.89 Impact Factor
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ABSTRACT: We compare two common methods for detecting functional connectivity: thresholding correlations and singular value decomposition (SVD). We find that thresholding correlations are better at detecting focal regions of correlated voxels, whereas SVD is better at detecting extensive regions of correlated voxels. We apply these results to resting state networks in an fMRI dataset to look for connectivity in cortical thickness.
Philosophical Transactions of The Royal Society B Biological Sciences 06/2005; 360(1457):913-20. · 6.40 Impact Factor
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ABSTRACT: The aim of this study was to investigate long-term consequences of severe non-missile traumatic brain injury (nmTBI) in patients without macroscopic focal brain lesions (>1.6 cm(3)) on regional white-matter density (WMd), and possible correlations with days of coma and memory performances. T1-weighted magnetic-resonance images (MRI) were acquired in 19 nmTBI patients, 3-113 months following the injury, and in 19 control subjects matched for age and gender. In addition, nmTBI patients underwent a battery of standardised memory tests. The MRIs were processed in a fully automatic system using voxel-by-voxel methods. Corpus callosum, fornix, anterior limb of the internal capsule, superior frontal gyrus, para-hippocampal gyrus, optic radiation and chiasma showed significant WMd reduction in nmTBI when compared to control subjects. None of the correlations between days of coma and memory performance scores with nmTBI voxels value that showed WMd reduction reached significance, with the exception of a significant negative correlation between WMd in the mid body of corpus callosum and short-story delayed recall. We detected reductions in WM density in several brain locations similar to those described in previous post mortem investigations. In addition, we observed WMd reduction in the optic chiasma and in the optic radiations; this finding may reflect transneural degeneration along the visual pathway. The weak correlations between specific anatomical sites of the reduced WMd and behavior may reflect the diffuse nature of the brain damage and/or the different time of onset between behavioral manifestations and neuropathological modifications occurring in nmTBI.
Journal of Neurotrauma 02/2005; 22(1):76-82. · 3.65 Impact Factor
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Yasuyuki Taki,
Ryoi Goto,
Alan Evans,
Alex Zijdenbos,
Peter Neelin, Jason Lerch,
Kazunori Sato,
Shuichi Ono,
Shigeo Kinomura,
Manabu Nakagawa,
Motoaki Sugiura,
Jobu Watanabe,
Ryuta Kawashima,
Hiroshi Fukuda
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ABSTRACT: The objectives of this study were to evaluate the correlations of the volumes of the gray matter and white matter with age, and the correlations of the tissue probabilities of the gray matter and white matter with age and several cerebrovascular risk factors. We obtained magnetic resonance (MR) images of the brain and clinical information from 769 normal Japanese subjects. We processed the MR images automatically by correcting for inter-individual differences in brain size and shape, and by segmenting the MR images into the gray matter and white matter. Volumetry of the brain revealed a significant negative correlation between the gray matter volume and age, which was not observed between white matter volume and age. Voxel-based morphometry showed that age, systolic blood pressure, and alcohol drinking correlated with the regional tissue probabilities of the gray matter and white matter.
Neurobiology of Aging 05/2004; 25(4):455-63. · 6.19 Impact Factor
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ABSTRACT: We report new random field theory P values for peaks of canonical correlation SPMs for detecting multiple contrasts in a linear model for multivariate image data. This completes results for all types of univariate and multivariate image data analysis. All other known univariate and multivariate random field theory results are now special cases, so these new results present a true unification of all currently known results. As an illustration, we use these results in a deformation-based morphometry (DBM) analysis to look for regions of the brain where vector deformations of nonmissile trauma patients are related to several verbal memory scores, to detect regions of changes in anatomical effective connectivity between the trauma patients and a group of age- and sex-matched controls, and to look for anatomical connectivity in cortical thickness.
NeuroImage 02/2004; 23 Suppl 1:S189-95. · 5.89 Impact Factor
