Rachel G.H. Brans
Utrecht University
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Biological Psychiatry | 2008
Neeltje E.M. van Haren; Hilleke E. Hulshoff Pol; Hugo G. Schnack; Wiepke Cahn; Rachel G.H. Brans; Monica Rais; René S. Kahn
BACKGROUND Considering the magnitude of the reported changes in brain volume over time in first-episode patients it is unlikely that these changes are constant over the life-span of the schizophrenic illness. Thus, one would expect the progression in brain volume change in schizophrenia to follow a more complex trajectory over time. METHODS Two magnetic resonance imaging brain scans were obtained over a 5-year interval of 96 schizophrenia patients and 113 healthy subjects between ages 16 to 56. RESULTS The trajectory of brain volume change differed between patients with schizophrenia and healthy individuals. Before the age of 45 years cerebral and gray matter loss and lateral ventricle increase were excessive in patients relative to controls, representing approximately the first 20 years of illness. Patients showed an excessive third ventricle volume increase over time. In addition, poor outcome patients showed more brain tissue loss during the follow-up interval than good outcome patients. CONCLUSIONS Cerebral (gray) matter volume loss in the patients was mainly characterized by the absence of the normal curved trajectory of volume change with age that was present in healthy subjects. Later in life, the degree of volume change in patients is similar to that observed with normal aging. Independently of age, larger brain volume changes appear clinically relevant.
Biological Psychiatry | 2004
Hilleke E. Hulshoff Pol; Rachel G.H. Brans; Neeltje E.M. van Haren; Hugo G. Schnack; Marieke Langen; W.F.C. Baaré; Clarine J. van Oel; René S. Kahn
Abstract Background Whole brain tissue volume decreases in schizophrenia have been related to both genetic risk factors and disease-related (possibly nongenetic) factors; however, whether genetic and environmental risk factors in the brains of patients with schizophrenia are differentially reflected in gray or white matter volume change is not known. Methods Magnetic resonance imaging (1.5 T) brain scans of 11 monozygotic and 11 same-gender dizygotic twin pairs discordant for schizophrenia were acquired and compared with 11 monozygotic and 11 same-gender dizygotic healthy control twin pairs. Results Repeated-measures volume analysis of covariance revealed decreased whole brain volume in the patients with schizophrenia as compared with their co-twins and with healthy twin pairs. Decreased white matter volume was found in discordant twin pairs compared with healthy twin pairs, particularly in the monozygotic twin pairs. A decrease in gray matter was found in the patients compared with their co-twins and compared with the healthy twins. Conclusions The results suggest that the decreases in white matter volume reflect the increased genetic risk to develop schizophrenia, whereas the decreases in gray matter volume are related to environmental risk factors. Study of genes involved in the (maintenance) of white matter structures may be particularly fruitful in schizophrenia.
Archives of General Psychiatry | 2009
Astrid C. van der Schot; Ronald Vonk; Rachel G.H. Brans; Neeltje E.M. van Haren; P. Cédric M.P. Koolschijn; Valerie Nuboer; Hugo G. Schnack; G. Caroline M. van Baal; Dorret I. Boomsma; Willem A. Nolen; Hilleke E. Hulshoff Pol; René S. Kahn
CONTEXT Structural neuroimaging studies suggest the presence of subtle abnormalities in the brains of patients with bipolar disorder. The influence of genetic and/or environmental factors on these brain abnormalities is unknown. OBJECTIVE To investigate the contribution of genetic and environmental factors on brain volume in bipolar disorder. DESIGN Magnetic resonance imaging (1.5 T) brain scans of monozygotic (MZ) or dizygotic (DZ) twins concordant and discordant for bipolar disorder were compared with healthy twin pairs. SETTING Subjects were recruited from the population, the Netherlands Twin Register, and the twin pair cohort at the University Medical Center Utrecht, Utrecht, The Netherlands. PARTICIPANTS A total of 234 subjects including 50 affected twin pairs (9 MZ concordant; 15 MZ discordant; 4 DZ concordant; 22 DZ discordant) and 67 healthy twin pairs (39 MZ and 28 DZ) were included. MAIN OUTCOME MEASURES Volumes of the intracranium, cerebrum, cerebellum, lateral and third ventricle, and gray and white matter from the cerebrum and frontal, parietal, temporal, and occipital lobes, both with and without correction for lithium use. To estimate the influence of additive genetic, common, and unique environmental factors, structural equation modeling was applied. RESULTS Bipolar disorder was associated with a decrease in total cortical volume. Decreases in white matter were related to the genetic risk of developing bipolar disorder (bivariate heritability, 77%; 95% confidence interval, 38% to 100%). Significant environmental correlations were found for cortical gray matter. These relationships all became more pronounced when data were corrected for lithium use. CONCLUSIONS Focusing on genes controlling white matter integrity may be a fruitful strategy in the quest to discover genes implicated in bipolar disorder. Elucidating the mechanism by which lithium attenuates brain matter loss may lead to the development of neuroprotective drugs.
NeuroImage | 2006
Hilleke E. Hulshoff Pol; Hugo G. Schnack; René C.W. Mandl; Rachel G.H. Brans; Neeltje E.M. van Haren; W.F.C. Baaré; Clarine J. van Oel; D. Louis Collins; Alan C. Evans; René S. Kahn
Global gray matter brain tissue volume decreases in schizophrenia have been associated to disease-related (possibly nongenetic) factors. Global white matter brain tissue volume decreases were related to genetic risk factors for the disease. However, which focal gray and white matter brain regions best reflect the genetic and environmental risk factors in the brains of patients with schizophrenia remains unresolved. 1.5-T MRI brain scans of 11 monozygotic and 11 same-sex dizygotic twin-pairs discordant for schizophrenia were compared to 11 monozygotic and 11 same-sex dizygotic healthy control twin-pairs using voxel-based morphometry. Linear regression analysis was done in each voxel for the average and difference in gray and white matter density separately, in each twin-pair, with group (discordant, healthy) and zygosity (monozygotic, dizygotic) as between subject variables, and age, sex and handedness as covariates. The t-maps (critical threshold value mid R:tmid R: > 6.0, P < 0.05) revealed a focal decrease in gray matter density accompanied by a focal increase in white matter density in the left medial orbitofrontal gyrus and a focal decrease in white matter density in the left sensory motor gyrus in twin-pairs discordant for schizophrenia as compared to healthy twin-pairs. Focal changes in left medial (orbito)frontal and left sensory motor gyri may reflect the increased genetic risk to develop schizophrenia. Focal changes in the left anterior hemisphere may therefore be particularly relevant as endophenotype in genetic studies of schizophrenia.
The Journal of Neuroscience | 2010
Rachel G.H. Brans; R.S. Kahn; H.G. Schnack; G.C.M. van Baal; Danielle Posthuma; N. E. M. van Haren; Claude Lepage; J. P. Lerch; D.L. Collins; Alan C. Evans; Dorret I. Boomsma; H.E. Hulshoff Pol
Although the adult brain is considered to be fully developed and stable until senescence when its size steadily decreases, such stability seems at odds with continued human (intellectual) development throughout life. Moreover, although variation in human brain size is highly heritable, we do not know the extent to which genes contribute to individual differences in brain plasticity. In this longitudinal magnetic resonance imaging study in twins, we report considerable thinning of the frontal cortex and thickening of the medial temporal cortex with increasing age and find this change to be heritable and partly related to cognitive ability. Specifically, adults with higher intelligence show attenuated cortical thinning and more pronounced cortical thickening over time than do subjects with average or below average IQ. Genes influencing variability in both intelligence and brain plasticity partly drive these associations. Thus, not only does the brain continue to change well into adulthood, these changes are functionally relevant because they are related to intelligence.
Archives of General Psychiatry | 2012
Hilleke E. Hulshoff Pol; G. Caroline M. van Baal; Hugo G. Schnack; Rachel G.H. Brans; Astrid C. van der Schot; Rachel M. Brouwer; Neeltje E.M. van Haren; Claude Lepage; D. Louis Collins; Alan C. Evans; Dorret I. Boomsma; Willem A. Nolen; René S. Kahn
CONTEXT The nosologic dichotomy between schizophrenia and bipolar disorder (BD) as formulated by Kraepelin is currently being questioned, stimulated by the finding that schizophrenia and BD partly share a common genetic origin. Although both disorders are characterized by changes in brain structure, family studies suggest more segregating than overlapping neuroanatomical abnormalities in both disorders. OBJECTIVES To investigate whether patients with schizophrenia and patients with BD display overlapping abnormalities in brain volumes and cortical thickness and whether these are caused by shared genetic or environmental influences. DESIGN Magnetic resonance imaging findings of monozygotic (MZ) and dizygotic (DZ) twin pairs discordant for schizophrenia, twin pairs concordant and discordant for BD, and healthy twin pairs were compared using structural equation modeling. SETTING The Netherlands Twin Register and University Medical Center Utrecht. PARTICIPANTS A total of 310 individuals from 158 (152 complete and 6 incomplete) twin pairs were included: 26 pairs discordant for schizophrenia (13 MZ and 13 DZ), 49 pairs with BD (9 MZ and 4 DZ concordant; 14 MZ and 22 DZ discordant), and 83 healthy twin pairs (44 MZ and 39 DZ). MAIN OUTCOME MEASURES Estimates of additive genetic and unique environmental associations between schizophrenia and BD with overlapping and nonoverlapping volumes and cortical thickness. RESULTS Higher genetic liabilities for schizophrenia and BD were associated with smaller white matter volume, thinner right (and left) parahippocampus, thinner right orbitofrontal cortex, and thicker temporoparietal and left superior motor cortices; higher environmental liabilities were associated with thinner right medial occipital cortex. Genetic liability for schizophrenia was associated with thicker right parietal cortex; for BD, with larger intracranial volume. CONCLUSIONS Brain structures reflect overlapping and segregating genetic liabilities for schizophrenia and BD. The overlapping smaller white matter volume and common areas of thinner cortex suggest that both disorders share genetic (neurodevelopmental) roots.
Brain | 2010
Astrid C. van der Schot; Ronald Vonk; Rachel M. Brouwer; G. Caroline M. van Baal; Rachel G.H. Brans; Neeltje E.M. van Haren; Hugo G. Schnack; Dorret I. Boomsma; Willem A. Nolen; Hilleke E. Hulshoff Pol; René S. Kahn
Structural neuroimaging studies suggest the presence of subtle abnormalities in the brains of patients with bipolar disorder. The influence of genetic and/or environmental factors on these brain abnormalities is unknown. To investigate the contribution of genetic and environmental factors on grey and white matter brain densities in bipolar disorder, monozygotic and dizygotic twins concordant and discordant for bipolar disorder were scanned using 1.5 Tesla magnetic resonance imaging and compared with healthy twin pairs. A total of 232 subjects: 49 affected twin pairs (8 monozygotic concordant, 15 monozygotic discordant, 4 dizygotic concordant, 22 dizygotic discordant) and 67 healthy twin pairs (39 monozygotic and 28 dizygotic) were included. After correcting for the effect of lithium, the liability for bipolar disorder was associated with decreased grey matter density in widespread areas of the brain, but most prominent in frontal and limbic regions, and with decreased white matter density in (frontal parts of) the superior longitudinal fasciculi. The genetic risk to develop bipolar disorder was related to decreased grey matter density in the right medial frontal gyrus, precentral gyrus and insula and with decreased white matter density in the superior longitudinal fasciculi bilaterally. In conclusion, pathology in the frontal lobe, especially in parts of the superior longitudinal fasciculus, may be central to the genetic risk to develop bipolar disorder, while widespread grey matter abnormalities appear related to the illness itself.
British Journal of Psychiatry | 2008
Rachel G.H. Brans; Neeltje E.M. van Haren; G. Caroline M. van Baal; Wouter G. Staal; Hugo G. Schnack; René S. Kahn; Hilleke E. Hulshoff Pol
To investigate whether genetic and/or disease-related factors are involved in progressive structural brain changes in schizophrenia, magnetic resonance imaging scans with a 5-year scan interval were acquired in patients, their same-gender siblings and matched healthy controls. Structural equation modelling was applied to assess disease and familial effects. Whole brain and cerebral grey matter volumes decreased excessively in patients compared with their siblings and the controls, suggesting that the progressive brain loss in schizophrenia may be related to the disease process.
NeuroImage | 2014
Rachel M. Brouwer; Anna M. Hedman; Neeltje E.M. van Haren; Hugo G. Schnack; Rachel G.H. Brans; D.J.A. Smit; René S. Kahn; Dorret I. Boomsma; Hilleke E. Hulshoff Pol
Human brain volumes change throughout life, are highly heritable, and have been associated with general cognitive functioning. Cross-sectionally, this association between volume and cognition can largely be attributed to the same genes influencing both traits. We address the question whether longitudinal changes in brain volume or in surface area in young adults are under genetic control and whether these changes are also related to general cognitive functioning. We measured change in brain volume and surface area over a 5-year interval in 176 monozygotic and dizygotic twins and their non-twin siblings aged 19 to 56, using magnetic resonance imaging. Results show that changes in volumes of total brain (mean = -6.4 ml; 0.5% loss), cerebellum (1.4 ml, 1.0% increase), cerebral white matter (4.4 ml, 0.9% increase), lateral ventricles (0.6 ml; 4.8% increase) and in surface area (-19.7 cm(2),1.1% contraction) are heritable (h(2) = 43%; 52%; 29%; 31%; and 33%, respectively). An association between IQ (available for 91 participants) and brain volume change was observed, which was attributed to genes involved in both the variation in change in brain volume and in intelligence. Thus, dynamic changes in brain structure are heritable and may have cognitive significance in adulthood.
Human Brain Mapping | 2014
Marc M. Bohlken; Rachel M. Brouwer; Ren e C.W. Mandl; Neeltje E.M. van Haren; Rachel G.H. Brans; G. Caroline M. van Baal; Eco J. C. de Geus; Dorret I. Boomsma; R.S. Kahn; Hilleke E. Hulshoff Pol
It has been shown that brain volume and general intellectual ability are to a significant extent influenced by the same genetic factors. Several cortical regions of the brain also show a genetic correlation with intellectual ability, demonstrating that intellectual functioning is probably represented in a heritable distributed network of cortical regions throughout the brain. This study is the first to investigate a genetic association between subcortical volumes and intellectual ability, taking into account the thalamus, caudate nucleus, putamen, globus pallidus, hippocampus, amygdala, and nucleus accumbens using an extended twin design. Genetic modeling was performed on a healthy adult twin sample consisting of 106 twin pairs and 30 of their siblings, IQ data was obtained from 132 subjects. Our results demonstrate that of all subcortical volumes measured, only thalamus volume is significantly correlated with intellectual functioning. Importantly, the association found between thalamus volume and intellectual ability is significantly influenced by a common genetic factor. This genetic factor is also implicated in cerebral brain volume. The thalamus, with its widespread cortical connections, may thus play a key role in human intelligence. Hum Brain Mapp 35:2632–2642, 2014.