Rene L. Olvera

Genetic control over the resting brain

The default-mode network, a coherent resting-state brain network, is thought to characterize basal neural activity. Aberrant default-mode connectivity has been reported in a host of neurological and psychiatric illnesses and in persons at genetic risk for such illnesses. Whereas the neurophysiologic mechanisms that regulate default-mode connectivity are unclear, there is growing evidence that genetic factors play a role. In this report, we estimate the importance of genetic effects on the default-mode network by examining covariation patterns in functional connectivity among 333 individuals from 29 randomly selected extended pedigrees. Heritability for default-mode functional connectivity was 0.424 ± 0.17 (P = 0.0046). Although neuroanatomic variation in this network was also heritable, the genetic factors that influence default-mode functional connectivity and gray-matter density seem to be distinct, suggesting that unique genes influence the structure and function of the network. In contrast, significant genetic correlations between regions within the network provide evidence that the same genetic factors contribute to variation in functional connectivity throughout the default mode. Specifically, the left parahippocampal region was genetically correlated with all other network regions. In addition, the posterior cingulate/precuneus region, medial prefrontal cortex, and right cerebellum seem to form a subnetwork. Default-mode functional connectivity is influenced by genetic factors that cannot be attributed to anatomic variation or a single region within the network. By establishing the heritability of default-mode functional connectivity, this experiment provides the obligatory evidence required before these measures can be considered as endophenotypes for psychiatric or neurological illnesses or to identify genes influencing intrinsic brain function.

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.

The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA-DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18-85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/).

High dimensional endophenotype ranking in the search for major depression risk genes

BACKGROUND Despite overwhelming evidence that major depression is highly heritable, recent studies have localized only a single depression-related locus reaching genome-wide significance and have yet to identify a causal gene. Focusing on family-based studies of quantitative intermediate phenotypes or endophenotypes, in tandem with studies of unrelated individuals using categorical diagnoses, should improve the likelihood of identifying major depression genes. However, there is currently no empirically derived statistically rigorous method for selecting optimal endophentypes for mental illnesses. Here, we describe the endophenotype ranking value, a new objective index of the genetic utility of endophenotypes for any heritable illness. METHODS Applying endophenotype ranking value analysis to a high-dimensional set of over 11,000 traits drawn from behavioral/neurocognitive, neuroanatomic, and transcriptomic phenotypic domains, we identified a set of objective endophenotypes for recurrent major depression in a sample of Mexican American individuals (n = 1122) from large randomly selected extended pedigrees. RESULTS Top-ranked endophenotypes included the Beck Depression Inventory, bilateral ventral diencephalon volume, and expression levels of the RNF123 transcript. To illustrate the utility of endophentypes in this context, each of these traits were utlized along with disease status in bivariate linkage analysis. A genome-wide significant quantitative trait locus was localized on chromsome 4p15 (logarithm of odds = 3.5) exhibiting pleiotropic effects on both the endophenotype (lymphocyte-derived expression levels of the RNF123 gene) and disease risk. CONCLUSIONS The wider use of quantitative endophenotypes, combined with unbiased methods for selecting among these measures, should spur new insights into the biological mechanisms that influence mental illnesses like major depression.

A Double-Blind, Placebo-Controlled Study of Adderall and Methylphenidate in the Treatment of Attention-Deficit/Hyperactivity Disorder

OBJECTIVE While Adderall has been available for the treatment of attention-deficit/hyperactivity disorder (ADHD) for several years, there are few controlled studies comparing it to methylphenidate. METHOD Fifty-eight children with ADHD (mean age 8.1 +/- 1.4 years) were randomly assigned to receive placebo, methylphenidate, or Adderall in a double-blind, parallel-group design for 3 weeks. Dosage was adjusted at the end of weeks 1 and 2 via an algorithm based on teacher and parent ratings. Final doses were 12.5 +/- 4.1 mg/day for Adderall and 25.2 +/- 13.1 mg/day for methylphenidate. Teacher and parent ratings, as well as the psychiatrists Clinical Global Impression (CGI), were the final outcome measures at the end of week 3. RESULTS Both medications were superior to placebo at reducing inattentive and oppositional symptoms in the classroom and on the CGI. Adderall produced significantly more improvements on teacher ratings and the CGI than methylphenidate, although the algorithm may have limited dosing in the methylphenidate group. Seventy percent of children in the Adderall group were given medication once a day, compared with 15% of the subjects receiving methylphenidate. CONCLUSIONS Adderall compared favorably to methylphenidate, and the behavioral effects of Adderall appear to persist longer than those of methylphenidate after individual doses.

Proton spectroscopy study of the left dorsolateral prefrontal cortex in pediatric depressed patients

The dorsolateral prefrontal cortex (DLPFC) plays an essential role in mood regulation and integration of cognitive functions that are abnormal in major depressive disorder (MDD). Few neuroimaging studies have evaluated the still maturing DLPFC in depressed children and adolescents. We conducted single voxel proton magnetic resonance spectroscopy ((1)H MRS) of the left DLPFC in 14 depressed children and adolescents (13.3 +/- 2.3 years old, 10 males) and 22 matched healthy controls (13.6 +/- 2.8 years old, 13 males). Depressed subjects had significantly lower levels of glycerophosphocholine plus phosphocholine (GPC + PC; or choline-containing compounds) and higher myo-inositol levels in the left DLPFC compared to healthy controls. In the depressed subjects, we found significant inverse correlations between glutamate levels and both duration of illness and number of episodes. In healthy controls there was a significant direct correlation between age and glutamine levels, which was not present in the patient group. Lower GPC + PC levels in pediatric MDD may reflect lower cell membrane content per volume in the DLPFC. Increased myo-inositol levels in MDD may represent a disturbed secondary messenger system. GPC + PC and myo-inositol abnormalities further demonstrate the involvement of DLPFC in pediatric MDD.

A Multimodal Assessment of the Genetic Control over Working Memory

Working memory performance is significantly influenced by genetic factors. Here, we assessed genetic contributions to both working memory performance and neuroimaging measures focused on the network of brain regions associated with working memory by using a sample of 467 human participants from extended families. Imaging measures included diffusion tensor imaging indices in major white matter tracts thought to be associated with working memory and structural magnetic resonance imaging measures of frontal and parietal gray matter density. Analyses directly addressed whether working memory performance and neural structural integrity are influenced by common genetic factors (e.g., pleiotropy). While all cognitive measures, gray matter regions, and white matter tracts assessed were heritable, only performance on a spatial delayed response task and integrity of the superior longitudinal fasciculus (a primary fronto-parietal connection) shared genetic factors. As working memory may be a core component of other higher level processes, such as general intelligence, this finding has implications for the heritability of complex cognitive functions, as well as for our understanding of the transmission of cognitive deficits in mental and neurological disorders.

Medial temporal lobe abnormalities in pediatric unipolar depression

In vivo anatomical magnetic resonance imaging (MRI) studies in adults with major depressive disorder (MDD) have implicated neurocircuitries involved in mood regulation in the pathophysiology of mood disorders. Specifically, abnormalities in the medial temporal lobe structures have been reported. This study examined a sample of children and adolescents with major depressive disorder to investigate anatomical abnormalities in these key medial temporal brain regions. Nineteen children and adolescents with DSM-IV major depression (mean age +/- S.D.=13.0 +/- 2.4 years; 10 unmedicated) and 24 healthy comparison subjects (mean age +/- S.D.=13.9 +/- 2.9 years) were studied using a 1.5T Philips MRI scanner. We measured hippocampus and amygdala gray matter volumes. MRI structural volumes were compared using analysis of covariance with age and total brain volumes as covariates. Pediatric depressed patients had significantly smaller left hippocampal gray matter volumes compared to healthy controls (1.89 +/- 0.16 cm(3) versus 1.99 +/- 0.18 cm(3), respectively; F=5.0, d.f.=1/39, p=0.03; effect size: eta2(p) =0.11). Unmedicated depressed patients showed a trend towards smaller left hippocampal volumes compared to medicated patients and healthy subjects (F=2.8, d.f.=2/38, p=0.07; effect size: eta2(p) =0.13). There were no statistically significant differences in mean volumes for left or right amygdala. Smaller left hippocampal volumes in children and adolescents with MDD are in agreement with findings from adult studies and suggest that such abnormalities are present early in the course of the illness. Amygdala volumes are not abnormal in this age group. Smaller hippocampal volumes may be related to an abnormal developmental process or HPA axis dysfunction.

Common Genetic Influences on Depression, Alcohol and Substance Use Disorders in Mexican-American Families

Multiple genetic and environmental factors influence the risk for both major depression and alcohol/substance use disorders. In addition, there is evidence that these illnesses share genetic factors. Although, the heritability of these illnesses is well established, relatively few studies have focused on ethnic minority populations. Here, we document the prevalence, heritability, and genetic correlations between major depression and alcohol and drug disorders in a large, community‐ascertained sample of Mexican‐American families. A total of 1,122 Mexican‐American individuals from 71 extended pedigrees participated in the study. All subjects received in‐person psychiatric interviews. Heritability, genetic, and environmental correlations were estimated using SOLAR. Thirty‐five percent of the sample met criteria for DSM‐IV lifetime major depression, 34% met lifetime criteria for alcohol use disorders, and 8% met criteria for lifetime drug use disorders. The heritability for major depression was estimated to be h2 = 0.393 (P = 3.7 × 10−6). Heritability estimates were higher for recurrent depression (h2 = 0.463, P = 4.0 × 10−6) and early onset depression (h2 = 0.485, P = 8.5 × 10−5). While the genetic correlation between major depression and alcohol use disorders was significant (ρg = 0.58, P = 7 × 10−3), the environmental correlation between these traits was not significant. Although, there is evidence for increased rates of depression and substance use in US‐born individuals of Mexican ancestry, our findings indicate that genetic control over major depression and alcohol/substance use disorders in the Mexican‐American population is similar to that reported in other populations.

Intermittent explosive disorder: Epidemiology, diagnosis and management

Intermittent explosive disorder (IED) is characterised by discrete episodes of aggressive impulses that result in serious assaultive acts towards people or destruction of property. IED causes severe impairments in daily function. The diagnosis of IED should be made only after a thorough medical work-up. A structured or semi-structured diagnostic interview is helpful to ensure that comorbid and pre-existing conditions are considered.There is a lack of controlled trials of agents for the treatment of patients with IED, but there is evidence that mood stabilisers, antipsychotics, β-blockers, α2-agonists, phenytoin and antidepressants may be useful. Behavioural interventions may be valuable as part of the overall treatment of IED

Genetic Analysis of Cortical Thickness and Fractional Anisotropy of Water Diffusion in the Brain

Objectives: The thickness of the brain’s cortical gray matter (GM) and the fractional anisotropy (FA) of the cerebral white matter (WM) each follow an inverted U-shape trajectory with age. The two measures are positively correlated and may be modulated by common biological mechanisms. We employed four types of genetic analyses to localize individual genes acting pleiotropically upon these phenotypes. Methods: Whole-brain and regional GM thickness and FA values were measured from high-resolution anatomical and diffusion tensor MR images collected from 712, Mexican American participants (438 females, age = 47.9 ± 13.2 years) recruited from 73 (9.7 ± 9.3 individuals/family) large families. The significance of the correlation between two traits was estimated using a bivariate genetic correlation analysis. Localization of chromosomal regions that jointly influenced both traits was performed using whole-genome quantitative trait loci (QTL) analysis. Gene localization was performed using SNP genotyping on Illumina 1M chip and correlation with leukocyte-based gene-expression analyses. The gene-expressions were measured using the Illumina BeadChip. These data were available for 371 subjects. Results: Significant genetic correlation was observed among GM thickness and FA values. Significant logarithm of odds (LOD ≥ 3.0) QTLs were localized within chromosome 15q22–23. More detailed localization reported no significant association (p < 5·10−5) for 1565 SNPs located within the QTLs. Post hoc analysis indicated that 40% of the potentially significant (p ≤ 10−3) SNPs were localized to the related orphan receptor alpha (RORA) and NARG2 genes. A potentially significant association was observed for the rs2456930 polymorphism reported as a significant GWAS finding in Alzheimer’s disease neuroimaging initiative subjects. The expression levels for RORA and ADAM10 genes were significantly (p < 0.05) correlated with both FA and GM thickness. NARG2 expressions were significantly correlated with GM thickness (p < 0.05) but failed to show a significant correlation (p = 0.09) with FA. Discussion: This study identified a novel, significant QTL at 15q22–23. SNP correlation with gene-expression analyses indicated that RORA, NARG2, and ADAM10 jointly influence GM thickness and WM–FA values.