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Dive into the research topics where Deanna Greenstein is active.

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Featured researches published by Deanna Greenstein.


NeuroImage | 2007

Sexual dimorphism of brain developmental trajectories during childhood and adolescence

Rhoshel Lenroot; Nitin Gogtay; Deanna Greenstein; Elizabeth Molloy Wells; Gregory L. Wallace; Liv Clasen; Jonathan D. Blumenthal; Jason P. Lerch; Alex P. Zijdenbos; Alan C. Evans; Paul M. Thompson; Jay N. Giedd

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 | 2006

Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI

Jason P. Lerch; Keith J. Worsley; W. Philip Shaw; Deanna Greenstein; Rhoshel Lenroot; Jay N. Giedd; Alan C. Evans

We introduce MACACC-Mapping Anatomical Correlations Across Cerebral Cortex-to study correlated changes within and across different cortical networks. The principal topic of investigation is whether the thickness of one area of the cortex changes in a statistically correlated fashion with changes in thickness of other cortical regions. We further extend these methods by introducing techniques to test whether different population groupings exhibit significantly varying MACACC patterns. The methods are described in detail and applied to a normal childhood development population (n = 292), and show that association cortices have the highest correlation strengths. Taking Brodmann Area (BA) 44 as a seed region revealed MACACC patterns strikingly similar to tractography maps obtained from diffusion tensor imaging. Furthermore, the MACACC map of BA 44 changed with age, older subjects featuring tighter correlations with BA 44 in the anterior portions of the superior temporal gyri. Lastly, IQ-dependent MACACC differences were investigated, revealing steeper correlations between BA 44 and multiple frontal and parietal regions for the higher IQ group, most significantly (t = 4.0) in the anterior cingulate.


Journal of the American Academy of Child and Adolescent Psychiatry | 2009

Autism Spectrum Disorders and Childhood-Onset Schizophrenia: Clinical and Biological Contributions to a Relation Revisited.

Judith L. Rapoport; Alex Chavez; Deanna Greenstein; Anjene Addington; Nitin Gogtay

OBJECTIVE To highlight emerging evidence for clinical and biological links between autism/pervasive developmental disorder (PDD) and schizophrenia, with particular attention to childhood-onset schizophrenia (COS). METHOD Clinical, demographic, and brain developmental data from the National Institute of Mental Health (and other) COS studies and selected family, imaging, and genetic data from studies of autism, PDD, and schizophrenia were reviewed. RESULTS In the two large studies that have examined this systematically, COS is preceded by and comorbid with PDD in 30% to 50% of cases. Epidemiological and family studies find association between the disorders. Both disorders have evidence of accelerated trajectories of anatomic brain development at ages near disorder onset. A growing number of risk genes and/or rare small chromosomal variants (microdeletions or duplications) are shared by schizophrenia and autism. CONCLUSIONS Biological risk does not closely follow DSM phenotypes, and core neurobiological processes are likely common for subsets of these two heterogeneous clinical groups. Long-term prospective follow-up of autistic populations and greater diagnostic distinction between schizophrenia spectrum and autism spectrum disorders in adult relatives are needed.


NeuroImage | 2010

Cerebellum development during childhood and adolescence: a longitudinal morphometric MRI study.

Henning Tiemeier; Rhoshel Lenroot; Deanna Greenstein; Lan Tran; Ronald Pierson; Jay N. Giedd

In addition to its well-established role in balance, coordination, and other motor skills, the cerebellum is increasingly recognized as a prominent contributor to a wide array of cognitive and emotional functions. Many of these capacities undergo dramatic changes during childhood and adolescence. However, accurate characterization of co-occurring anatomical changes has been hindered by lack of longitudinal data and methodologic challenges in quantifying subdivisions of the cerebellum. In this study we apply an innovative image analysis technique to quantify total cerebellar volume and 11 subdivisions (i.e. anterior, superior posterior, and inferior posterior lobes, corpus medullare, and three vermal regions) from anatomic brain MRI scans from 25 healthy females and 25 healthy males aged 5-24 years, each of whom was scanned at least three times at approximately 2-year intervals. Total cerebellum volume followed an inverted U shaped developmental trajectory peaking at age 11.8 years in females and 15.6 years in males. Cerebellar volume was 10% to 13% larger in males depending on the age of comparison and the sexual dimorphism remained significant after covarying for total brain volume. Subdivisions of the cerebellum had distinctive developmental trajectories with more phylogenetically recent regions maturing particularly late. The cerebellums unique protracted developmental trajectories, sexual dimorphism, preferential vulnerability to environmental influences, and frequent implication in childhood onset disorders such as autism and ADHD make it a prime target for pediatric neuroimaging investigations.


Lancet Neurology | 2007

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

Philip Shaw; Jason P. Lerch; Jens C. Pruessner; Kristin N Taylor; A Blythe Rose; Deanna Greenstein; Liv Clasen; Alan C. Evans; Judith L. Rapoport; Jay N. Giedd

BACKGROUND Alleles of the apolipoprotein E (APOE) gene modulate risk for Alzheimers disease, with carriers of the epsilon4 allele being at increased risk and carriers of the epsilon2 allele possibly at decreased risk compared with non-carriers. Our aim was to determine whether possession of an epsilon4 allele would confer children with a neural substrate that might render them at risk for Alzheimers disease, and whether carriers of the epsilon2 allele might have a so-called protective cortical morphology. METHODS 239 healthy children and adolescents were genotyped and had repeated neuroanatomic MRI (total 530 scans). Mixed model regression was used to determine whether the developmental trajectory of the cortex differed by genotype. FINDINGS Cortical thickness of the left entorhinal region was significantly thinner in epsilon4 carriers than it was in non-epsilon4 carriers (3.79 [SE 0.06] mm, range 1.54-5.24 vs 3.94 [0.03] mm, 2.37-6.11; p=0.03). There was a significant stepwise increase in cortical thickness in the left entorhinal regions, with epsilon4 carriers having the thinnest cortex and epsilon2 carriers the thickest, with epsilon3 homozygotes occupying an intermediate position (left beta 0.11 [SE 0.05], p=0.02). Neuroanatomic effects seemed fixed and non-progressive, with no evidence of accelerated cortical loss in young healthy epsilon4 carriers. INTERPRETATION Alleles of the apolipoprotein E gene have distinct neuroanatomic signatures, identifiable in childhood. The thinner entorhinal cortex in individuals with the epsilon4 allele might contribute to risk of Alzheimers disease.


American Journal of Medical Genetics | 2005

Support for association between ADHD and two candidate genes : NET1 and DRD1

Aaron J. Bobb; Anjene Addington; Ellen Sidransky; Michele Gornick; Jason P. Lerch; Deanna Greenstein; Liv Clasen; Wendy Sharp; Gale Inoff-Germain; Fabienne Wavrant-De Vrièze; Mauricio Arcos-Burgos; Richard E. Straub; John Hardy; F. Xavier Castellanos; Judith L. Rapoport

Attention deficit hyperactivity disorder (ADHD) is a common, multifactorial disorder with significant genetic contribution. Multiple candidate genes have been studied in ADHD, including the norepinephrine transporter (NET1) and dopamine D1 receptor (DRD1). NET1 is implicated in ADHD because of the efficacy of atomoxetine, a selective noradrenergic reuptake inhibitor, in the treatment of ADHD. DRD1 is primarily implicated through mouse models of ADHD. DNA from 163 ADHD probands, 192 parents, and 129 healthy controls was used to investigate possible associations between ADHD and polymorphisms in 12 previously studied candidate genes (5‐HT1B, 5‐HT2A, 5‐HT2C, ADRA2A, CHRNA4, COMT, DAT1, DRD1, DRD4, DRD5, NET1, and SNAP‐25). Analyses included case‐control and family‐based methods, and dimensional measures of behavior, cognition, and anatomic brain magnetic resonance imaging (MRI). Of the 12 genes examined, two showed a significant association with ADHD. Transmission disequilibrium test (TDT) analysis revealed significant association of two NET1 single nucleotide polymorphisms (SNPs) with ADHD (P ≤ 0.009); case‐control analysis revealed significant association of two DRD1 SNPs with ADHD (P ≤ 0.008). No behavioral, cognitive, or brain MRI volume measurement significantly differed across NET1 or DRD1 genotypes at an alpha of 0.01. This study provides support for an association between ADHD and polymorphisms in both NET1 and DRD1; polymorphisms in ten other candidate genes were not associated with ADHD. Because family‐based and case‐control methods gave divergent results, both should be used in genetic studies of ADHD.


Journal of Lipid Research | 2006

One generation of n-3 polyunsaturated fatty acid deprivation increases depression and aggression test scores in rats.

James C. DeMar; Kiazong Ma; Jane M. Bell; Miki Igarashi; Deanna Greenstein; Stanley I. Rapoport

Male rat pups at weaning (21 days of age) were subjected to a diet deficient or adequate in n-3 polyunsaturated fatty acids (n-3 PUFAs) for 15 weeks. Performance on tests of locomotor activity, depression, and aggression was measured in that order during the ensuing 3 weeks, after which brain lipid composition was determined. In the n-3 PUFA-deprived rats, compared with n-3 PUFA-adequate rats, docosahexaenoic acid (22:6n-3) in brain phospholipid was reduced by 36% and docosapentaenoic acid (22:5n-6) was elevated by 90%, whereas brain phospholipid concentrations were unchanged. N-3 PUFA-deprived rats had a significantly increased (P = 0.03) score on the Porsolt forced-swim test for depression, and increased blocking time (P = 0.03) and blocking number (P = 0.04) scores (uncorrected for multiple comparisons) on the isolation-induced resident-intruder test for aggression. Large effect sizes (d > 0.8) were found on the depression score and on the blocking time score of the aggression test. Scores on the open-field test for locomotor activity did not differ significantly between groups, and had only small to medium effect sizes. This single-generational n-3 PUFA-deprived rat model, which demonstrated significant changes in brain lipid composition and in test scores for depression and aggression, may be useful for elucidating the contribution of disturbed brain PUFA metabolism to human depression, aggression, and bipolar disorder.


American Journal of Psychiatry | 2009

Psychostimulant Treatment and the Developing Cortex in Attention Deficit Hyperactivity Disorder

Philip Shaw; Wendy Sharp; Meaghan Morrison; Kristen Eckstrand; Deanna Greenstein; Liv Clasen; Alan C. Evans; Judith L. Rapoport

OBJECTIVE While there has been considerable concern over possible adverse effects of psychostimulants on brain development, this issue has not been examined in a prospective study. The authors sought to determine prospectively whether psychostimulant treatment for attention deficit hyperactivity disorder (ADHD) was associated with differences in the development of the cerebral cortex during adolescence. METHOD Change in cortical thickness was estimated from two neuroanatomic MRI scans in 43 youths with ADHD. The mean age at the first scan was 12.5 years, and at the second scan, 16.4 years. Nineteen patients not treated with psychostimulants between the scans were compared with an age-matched group of 24 patients who were treated with psychostimulants. Further comparison was made against a template derived from 620 scans of 294 typically developing youths without ADHD. RESULTS Adolescents taking psychostimulants differed from those not taking psychostimulants in the rate of change of the cortical thickness in the right motor strip, the left middle/inferior frontal gyrus, and the right parieto-occipital region. The group difference was due to more rapid cortical thinning in the group not taking psychostimulants (mean cortical thinning of 0.16 mm/year [SD=0.17], compared with 0.03 mm/year [SD=0.11] in the group taking psychostimulants). Comparison against the typically developing cohort without ADHD showed that cortical thinning in the group not taking psychostimulants was in excess of age-appropriate rates. The treatment groups did not differ in clinical outcome, however. CONCLUSIONS These findings show no evidence that psychostimulants were associated with slowing of overall growth of the cortical mantle.


Molecular Psychiatry | 2005

GAD1 (2q31.1), which encodes glutamic acid decarboxylase (GAD 67 ), is associated with childhood-onset schizophrenia and cortical gray matter volume loss

Anjene Addington; Michele Gornick; J. Duckworth; Alexandra Sporn; Nitin Gogtay; Aaron J. Bobb; Deanna Greenstein; Marge Lenane; Peter Gochman; Natalie Baker; Rishi Balkissoon; Radhakrishna Vakkalanka; Daniel R. Weinberger; Judith L. Rapoport; Richard E. Straub

Postmortem brain studies have shown deficits in the cortical γ-aminobutyric acid (GABA) system in schizophrenic individuals. Expression studies have shown a decrease in the major GABA-synthesizing enzyme (glutamic acid decarboxylase (GAD67) mRNA levels in neurons in dorsolateral prefrontal cortex in schizophrenics relative to controls. In the present study, SNPs in and around the GAD1 gene, which encodes the protein GAD67, were tested on a rare, severely ill group of children and adolescents with childhood-onset schizophrenia (COS) (n=72), in a family-based association analysis. Compared to adult-onset samples, the COS sample has evidence for more salient familial, and perhaps genetic, risk factors for schizophrenia, as well as evidence for frontal cortical hypofunction, and greater decline in cortical gray matter volume on anatomic brain MRI scans during adolescence. We performed family-based TDT and haplotype association analyses of the clinical phenotype, as well as association analyses with endophenotypes using the QTDT program. Three adjacent SNPs in the 5′ upstream region of GAD1 showed a positive pairwise association with illness in these families (P=0.022–0.057). Significant transmission distortion of 4-SNP haplotypes was also observed (P=0.003–0.008). Quantitative trait TDT analyses showed an intriguing association between several SNPs and increased rate of frontal gray matter loss. These observations, when taken together with the positive results reported recently in two independent adult-onset schizophrenia pedigree samples, suggest that the gene encoding GAD67 may be a common risk factor for schizophrenia.


Biological Psychiatry | 2012

Development of Cortical Surface Area and Gyrification in Attention-Deficit/Hyperactivity Disorder

Philip Shaw; Meaghan Malek; Bethany Watson; Wendy Sharp; Alan C. Evans; Deanna Greenstein

BACKGROUND Delineation of the cortical anomalies underpinning attention-deficit/hyperactivity disorder (ADHD) can powerfully inform pathophysiological models. We previously found that ADHD is characterized by a delayed maturation of prefrontal cortical thickness. We now ask if this extends to the maturation of cortical surface area and gyrification. METHODS Two hundred thirty-four children with ADHD and 231 typically developing children participated in the study, with 837 neuroanatomic magnetic resonance images acquired longitudinally. We defined the developmental trajectories of cortical surfaces and gyrification and the sequence of cortical maturation, as indexed by the age at which each cortical vertex attained its peak surface area. RESULTS In both groups, the maturation of cortical surface area progressed in centripetal waves, both lateral (starting at the central sulcus and frontopolar regions, sweeping toward the mid and superior frontal gyrus) and medial (descending down the medial prefrontal cortex, toward the cingulate gyrus). However, the surface area developmental trajectory was delayed in ADHD. For the right prefrontal cortex, the median age by which 50% of cortical vertices attained peak area was 14.6 years (SE = .03) in ADHD, significantly later than in typically developing group at 12.7 years (SE = .03) [log-rank test χ(¹)² = 1300, p < .00001]. Similar, but less pronounced, delay was found in the left hemispheric lobes. There were no such diagnostic differences in the developmental trajectories of cortical gyrification. CONCLUSIONS The congruent delay in cortical thickness and surface area direct attention away from processes that selectively affect one cortical component toward mechanisms controlling the maturation of multiple cortical dimensions.

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Judith L. Rapoport

National Institutes of Health

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Nitin Gogtay

National Institutes of Health

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Liv Clasen

National Institutes of Health

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Jay N. Giedd

National Institutes of Health

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Peter Gochman

National Institutes of Health

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Marge Lenane

National Institutes of Health

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Wendy Sharp

National Institutes of Health

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Alexandra Sporn

National Institutes of Health

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Julia W. Tossell

National Institutes of Health

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Alan C. Evans

Montreal Neurological Institute and Hospital

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