Biomedical subjects

N E van Haren

Publications and source records attributed to N E van Haren.

4 recordsLinked to original sources

PubMed2001

Focal gray matter density changes in schizophrenia.

BACKGROUND: The view that schizophrenia is a brain disease particularly involving decrements in gray matter is supported by findings from many imaging studies. However, it is unknown whether the (progressive) loss of tissue affects the brain globally or whether tissue loss is more prominent in some areas than in others. METHODS: Magnetic resonance whole brain images were acquired from 159 patients with schizophrenia or a schizophreniform disorder and 158 healthy subjects across a 55-year age span. Gray matter density maps were made and analyzed using voxel-based morphometry. RESULTS: Compared with healthy subjects, decreases in gray matter density were found in the left amygdala; left hippocampus; right supramarginal gyrus; thalamus; (orbito) frontal, (superior) temporal, occipitotemporal, precuneate, posterior cingulate, and insular cortices bilaterally in patients with schizophrenia or schizophreniform disorder. Compared with healthy subjects, increases in gray matter density were exclusively found in the right caudate and globus pallidus in patients with schizophrenia or schizophreniform disorder. A group-by-age interaction for density was found in the left amygdala, owing to a negative regression slope of gray matter density on age in the left amygdala in patients compared with healthy subjects. CONCLUSIONS: Gray matter density is decreased in distinct focal areas in the brains of patients with schizophrenia or schizophreniform disorder. The decreased density in the left amygdala is more pronounced in older patients with schizophrenia.

Adolescent↗

PubMed2001

Quantitative genetic modeling of variation in human brain morphology.

The degree to which individual variation in brain structure in humans is genetically or environmentally determined is as yet not well understood. We studied the brains of 54 monozygotic (33 male, 21 female) and 58 dizygotic (17 male, 20 female, 21 opposite sex) pairs of twins and 34 of their full siblings (19 male, 15 female) by means of high resolution magnetic resonance imaging scans. Structural equation modeling was used to quantify the genetic and environmental contributions to phenotypic (co)variance in whole brain, gray and white matter volume of the cerebrum, lateral ventricle volume and associated variables such as intracranial volume and height. Because the cerebral cortex makes up more that two-thirds of the brain mass and almost three-quarters of its synapses, our data predominantly concerns the telencephalon. Genetic factors accounted for most of the individual differences in whole brain (90%), gray (82%) and white (88%) matter volume. Individual differences in lateral ventricle volume were best explained by a model containing common (58%) and unique (42%) environmental factors, indicating genes to be of no or minor influence. In our sample, genetic or environmental influences were not different for males and females. The same genes influenced brain volumes and intracranial volume and almost completely explained their high phenotypic correlation. Genes influencing gray and white matter overlapped to a large extent and completely determined their phenotypic correlation. The high heritability estimates that were found indicate that brain volumes may be useful as intermediate phenotypes in behavioral genetic research.

Adult↗

PubMed2001

Structural brain abnormalities in chronic schizophrenia at the extremes of the outcome spectrum.

OBJECTIVE: This study investigated the relationship between outcome and structural brain abnormalities in schizophrenia. METHOD: Intracranial volume and volumes of the cerebrum, gray and white matter, lateral and third ventricles, frontal lobes, thalamus, and cerebellum were measured in 20 patients with a poor outcome, 25 with a favorable outcome, and 23 healthy comparison subjects with magnetic resonance imaging. RESULTS: Thalamic volume was significantly smaller both in poor-outcome patients and good-outcome patients. In contrast, only poor-outcome patients displayed significantly smaller cerebral gray matter, particularly prefrontal, and enlargement of the lateral and third ventricles. No significant differences were found for intracranial, cerebellar, or cortical CSF volumes. CONCLUSIONS: Smaller thalamic volumes in schizophrenia may reflect a greater susceptibility for the disorder and seem unrelated to outcome. In contrast, gray matter volume loss of the cerebrum, particularly in the frontal lobes, and lateral and third ventricular enlargement appear related to outcome in schizophrenia.

Age of Onset↗

PubMed2000

Prenatal exposure to famine and brain morphology in schizophrenia.

OBJECTIVE: The authors assessed the effects of nutritional deficiency during the first trimester of pregnancy on brain morphology in patients with schizophrenia. METHOD: Nine schizophrenic patients and nine healthy comparison subjects exposed during the first trimester of gestation to the Dutch Hunger Winter were evaluated with magnetic resonance brain imaging, as were nine schizophrenic patients and nine healthy subjects who were not prenatally exposed to the famine. RESULTS: Prenatal famine exposure in patients with schizophrenia was associated with decreased intracranial volume. Prenatal Hunger Winter exposure alone was related to an increase in brain abnormalities, predominantly white matter hyperintensities. CONCLUSIONS: Nutritional deficiency during the first trimester of gestation resulted in an increase in clinical brain abnormalities and was associated with aberrant early brain development in patients with schizophrenia. Stunted brain development secondary to factors that affect brain growth during the first trimester of gestation may thus be a potential risk factor for developing schizophrenia.

Brain↗