Article
Developmental change in regional brain structure over 7 months in early adolescence: comparison of approaches for longitudinal atlas-based parcellation.
Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
NeuroImage (impact factor:
5.89).
07/2011;
57(1):214-24.
DOI:10.1016/j.neuroimage.2011.04.003
pp.214-24
Source: PubMed
- Citations (3)
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Cited In (0)
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Article: [Micrometastases in colonic cancers: diagnostic methods and prognostic elements].
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ABSTRACT: Micrometastasis are defined by the existence of cells or groups of cells in target organs. In the particular cas of colon cancers, although lymph node involvement is frequent, metastatic medullary involvement (while rarely at the origin of identified metastasis) can also be observed. Furthermore, micrometastatics cells can be identified in the circulating blood. This research relies on recent technics of immunocytochemistry with image analysis or molecular biology technics (generally PCR or RT-PCR). It is essential to have a specific reliable marker of metastatic cells. The prognostic value of identifying micrometastasis in organs also remains to be defined.Journal de Chirurgie 07/2002; 139(3):141-8. · 0.50 Impact Factor -
Article: Quantitative magnetic resonance imaging of human brain development: ages 4-18.
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ABSTRACT: Brain magnetic resonance images (MRI) of 104 healthy children and adolescents, age 4-18, showed significant effects of age and gender on brain morphometry. Males had larger cerebral (9%) and cerebellar (8%) volumes (P < 0.0001 and P = 0.008, respectively), which remained significant even after correction for height and weight. After adjusting for cerebral size, the putamen and globus pallidus remained larger in males, while relative caudate size was larger in females. Neither cerebral nor cerebellar volume changed significantly across this age range. Lateral ventricular volume increased significantly in males (trend for females), with males showing an increase in slope after age 11. In males only, caudate and putamen decrease with age (P = 0.007 and 0.05, respectively). The left lateral ventricles and putamen were significantly greater than the right (P = 0.01 and 0.001, respectively). In contrast, the cerebral hemispheres and caudate showed a highly consistent right-greater-than-left asymmetry (P < 0.0001 for both). All volumes demonstrated a high degree of variability. These findings highlight gender-specific maturational changes of the developing brain and the need for large gender-matched samples in pediatric neuropsychiatric studies.Cerebral Cortex 6(4):551-60. · 6.54 Impact Factor -
Article: Sex differences in the adolescent brain.
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ABSTRACT: Adolescence is a time of increased divergence between males and females in physical characteristics, behavior, and risk for psychopathology. Here we will review data regarding sex differences in brain structure and function during this period of the lifespan. The most consistent sex difference in brain morphometry is the 9-12% larger brain size that has been reported in males. Individual brain regions that have most consistently been reported as different in males and females include the basal ganglia, hippocampus, and amygdala. Diffusion tensor imaging and magnetization transfer imaging studies have also shown sex differences in white matter development during adolescence. Functional imaging studies have shown different patterns of activation without differences in performance, suggesting male and female brains may use slightly different strategies for achieving similar cognitive abilities. Longitudinal studies have shown sex differences in the trajectory of brain development, with females reaching peak values of brain volumes earlier than males. Although compelling, these sex differences are present as group averages and should not be taken as indicative of relative capacities of males or females.Brain and Cognition 11/2009; 72(1):46-55. · 3.17 Impact Factor
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Keywords
7-month interval
8-channel phased-array head coil
brain morphology
Brain volumes
consistent changes
cortical gray matter volumes
dynamic changes
FSL FAST
GE 3T scanner
Gray matter volumes
gray+white matter volumes
image segmentation
independent method
MRI 2
regional brain structural development
registration-based parcellation
significant regional brain changes
SRI24 atlas
temporal resolution
volume changes