Faculty Bibliography
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395
Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure
Neuroimaging has been extensively used to study brain structure and function in individuals with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) over the past decades. Two of the main shortcomings of the neuroimaging literature of these disorders are the small sample sizes employed and the heterogeneity of methods used. In 2013 and 2014, the ENIGMA-ADHD and ENIGMA-ASD working groups were respectively, founded with a common goal to address these limitations. Here, we provide a narrative review of the thus far completed and still ongoing projects of these working groups. Due to an implicitly hierarchical psychiatric diagnostic classification system, the fields of ADHD and ASD have developed largely in isolation, despite the considerable overlap in the occurrence of the disorders. The collaboration between the ENIGMA-ADHD and -ASD working groups seeks to bring the neuroimaging efforts of the two disorders closer together. The outcomes of case-control studies of subcortical and cortical structures showed that subcortical volumes are similarly affected in ASD and ADHD, albeit with small effect sizes. Cortical analyses identified unique differences in each disorder, but also considerable overlap between the two, specifically in cortical thickness. Ongoing work is examining alternative research questions, such as brain laterality, prediction of case-control status, and anatomical heterogeneity. In brief, great strides have been made toward fulfilling the aims of the ENIGMA collaborations, while new ideas and follow-up analyses continue that include more imaging modalities (diffusion MRI and resting-state functional MRI), collaborations with other large databases, and samples with dual diagnoses.
PMID: 32420680
ISSN: 1097-0193
CID: 4446612
Greater male than female variability in regional brain structure across the lifespan
For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
PMID: 33044802
ISSN: 1097-0193
CID: 4632482
Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years
Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
PMID: 33595143
ISSN: 1097-0193
CID: 4799902
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years
Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related trajectories inferred from cross-sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3-90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter-individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age-related morphometric patterns.
PMID: 33570244
ISSN: 1097-0193
CID: 4799802
Disrupted intrinsic functional brain topology in patients with major depressive disorder
Aberrant topological organization of whole-brain networks has been inconsistently reported in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes. To address this issue, we utilized a big data sample of MDD patients from the REST-meta-MDD Project, including 821 MDD patients and 765 normal controls (NCs) from 16 sites. Using the Dosenbach 160 node atlas, we examined whole-brain functional networks and extracted topological features (e.g., global and local efficiency, nodal efficiency, and degree) using graph theory-based methods. Linear mixed-effect models were used for group comparisons to control for site variability; robustness of results was confirmed (e.g., multiple topological parameters, different node definitions, and several head motion control strategies were applied). We found decreased global and local efficiency in patients with MDD compared to NCs. At the nodal level, patients with MDD were characterized by decreased nodal degrees in the somatomotor network (SMN), dorsal attention network (DAN) and visual network (VN) and decreased nodal efficiency in the default mode network (DMN), SMN, DAN, and VN. These topological differences were mostly driven by recurrent MDD patients, rather than first-episode drug naive (FEDN) patients with MDD. In this highly powered multisite study, we observed disrupted topological architecture of functional brain networks in MDD, suggesting both locally and globally decreased efficiency in brain networks.
PMID: 34385597
ISSN: 1476-5578
CID: 5006242
Journal of child psychology & psychiatry & allied disciplines. 2021:62(10):1202-1219.DOI: 10.1111/jcpp.13396
Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets
OBJECTIVE:Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. METHODS:We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. RESULTS:There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen's d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing. CONCLUSION/CONCLUSIONS:Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.
PMID: 33748971
ISSN: 1469-7610
CID: 4822272
Journal of the American Academy of Child & Adolescent Psychiatry. 2021:Conference:(68th):S168-S169.DOI: 10.1016/j.jaac.2021.09.105
6.32 Assessing the Effect of Youth Involvement in Adverse Event Reporting during a Clinical Trial of Cannabidiol for Youth WITH AUTISM SPECTRUM DISORDER with Complex Verbal Language [Meeting Abstract]
Objectives: Clinical trials in youth with autism spectrum disorder (ASD) have typically neglected the voices of the youth themselves. Besides raising ethical questions, this may also affect the quality of the data obtained. We examined differences in adverse event (AE) reporting between parents and parent-child dyads in an open trial of cannabidiol (CBD). We hypothesized that including youth with ASD in AE reporting would increase the number of total and related AEs independently of response.
Method(s): Twelve youth (ages 7-14 years) with ASD (verbally fluent, IQ >= 80) completed a 6-week, Phase 2 open trial of 98% CBD (Epidiolex [V], 100 mg/mL) at 3 or 6 mg/kg/day; target N = 30. An individualized target symptom domain was identified at baseline by clinician consensus from informant report, rating scales, and clinical observation. Responders were defined by Clinical Global Impression Scale-Improvement (CGI-I) <= 2 in their target symptom domain. AEs were assessed by phone with parents (weeks 1, 3, 5) and via the UKU (Udvalg for Kliniske Under-sogelser) Side Effects Rating Scale administered by clinicians to dyads (weeks 2, 4, 6). Clinician consensus determined the relatedness of AEs to treatment. Disease-related events (DREs) were considered adverse if the severity or frequency increased. In this interim analysis, we identified response to treatment and AEs, contrasted AE rates (parents vs dyads), and examined the relationship between treatment response and AE profile.
Result(s): All 12 initial participants completed the trial; 4 responded (33%). Clinical Global Impression Scale-Severity (CGI-S) improved significantly from pre- (M = 4.83; SD = 0.39) to posttreatment (M = 3.92; SD = 0.90) (t11 = 3.53; p < 0.004). The most frequent AEs were tiredness (n = 5) and increased emotionality (n = 3). Of 47 total AEs, all were mild and 39 were first reported by dyads. Of 14 related AEs, 9 were first reported by dyads. One DRE occurred: increased severity of restricted, repetitive behaviors. The number of AEs reported by dyads (M = 3.25; SD = 3.14) compared to parents alone (M = 0.67; SD = 0.89) was significantly higher (t11 = 2.18; p = 0.017). Responders and nonresponders did not differ significantly in the number of total or related AEs.
Conclusion(s): This interim analysis suggests that including the input of children with ASD in AE reporting captures a fuller profile of total and related AEs without compromising the study integrity or results. ASD, OLT, R
Copyright
Method(s): Twelve youth (ages 7-14 years) with ASD (verbally fluent, IQ >= 80) completed a 6-week, Phase 2 open trial of 98% CBD (Epidiolex [V], 100 mg/mL) at 3 or 6 mg/kg/day; target N = 30. An individualized target symptom domain was identified at baseline by clinician consensus from informant report, rating scales, and clinical observation. Responders were defined by Clinical Global Impression Scale-Improvement (CGI-I) <= 2 in their target symptom domain. AEs were assessed by phone with parents (weeks 1, 3, 5) and via the UKU (Udvalg for Kliniske Under-sogelser) Side Effects Rating Scale administered by clinicians to dyads (weeks 2, 4, 6). Clinician consensus determined the relatedness of AEs to treatment. Disease-related events (DREs) were considered adverse if the severity or frequency increased. In this interim analysis, we identified response to treatment and AEs, contrasted AE rates (parents vs dyads), and examined the relationship between treatment response and AE profile.
Result(s): All 12 initial participants completed the trial; 4 responded (33%). Clinical Global Impression Scale-Severity (CGI-S) improved significantly from pre- (M = 4.83; SD = 0.39) to posttreatment (M = 3.92; SD = 0.90) (t
Conclusion(s): This interim analysis suggests that including the input of children with ASD in AE reporting captures a fuller profile of total and related AEs without compromising the study integrity or results. ASD, OLT, R
Copyright
EMBASE:2014994967
ISSN: 1527-5418
CID: 5024292
Predicting multiscan MRI outcomes in children with neurodevelopmental conditions following MRI simulator training
Pediatric brain imaging holds significant promise for understanding neurodevelopment. However, the requirement to remain still inside a noisy, enclosed scanner remains a challenge. Verbal or visual descriptions of the process, and/or practice in MRI simulators are the norm in preparing children. Yet, the factors predictive of successfully obtaining neuroimaging data remain unclear. We examined data from 250 children (6-12 years, 197 males) with autism and/or attention-deficit/hyperactivity disorder. Children completed systematic MRI simulator training aimed to habituate to the scanner environment and minimize head motion. An MRI session comprised multiple structural, resting-state, task and diffusion scans. Of the 201 children passing simulator training and attempting scanning, nearly all (94%) successfully completed the first structural scan in the sequence, and 88% also completed the following functional scan. The number of successful scans decreased as the sequence progressed. Multivariate analyses revealed that age was the strongest predictor of successful scans in the session, with younger children having lower success rates. After age, sensorimotor atypicalities contributed most to prediction. Results provide insights on factors to consider in designing pediatric brain imaging protocols.
PMCID:8517836
PMID: 34649041
ISSN: 1878-9307
CID: 5068032
Perinatal interference with the serotonergic system affects VTA function in the adult via glutamate co-transmission
Serotonin and dopamine are associated with multiple psychiatric disorders. How they interact during development to affect subsequent behavior remains unknown. Knockout of the serotonin transporter or postnatal blockade with selective serotonin reuptake inhibitors (SSRIs) leads to novelty-induced exploration deficits in adulthood, potentially involving the dopamine system. Here, we show in the mouse that raphe nucleus serotonin neurons activate ventral tegmental area dopamine neurons via glutamate co-transmission and that this co-transmission is reduced in animals exposed postnatally to SSRIs. Blocking serotonin neuron glutamate co-transmission mimics this SSRI-induced hypolocomotion, while optogenetic activation of dopamine neurons reverses this hypolocomotor phenotype. Our data demonstrate that serotonin neurons modulate dopamine neuron activity via glutamate co-transmission and that this pathway is developmentally malleable, with high serotonin levels during early life reducing co-transmission, revealing the basis for the reduced novelty-induced exploration in adulthood due to postnatal SSRI exposure.
PMID: 32398719
ISSN: 1476-5578
CID: 4431172
A Biased Perspective on Brain Imaging of ADHD
PMID: 34383564
ISSN: 1535-7228
CID: 5010842
