Faculty Bibliography

Brain operation is profoundly rhythmic. Oscillations of neural excitability shape sensory, motor, and cognitive processes. Intrinsic oscillations also entrain to external rhythms, allowing the brain to optimize the processing of predictable events such as speech. Moreover, selective attention to a particular rhythm in a complex environment entails entrainment of neural oscillations to its temporal structure. Entrainment appears to form one of the core mechanisms of selective attention, which is likely to be relevant to certain psychiatric disorders. Deficient entrainment has been found in schizophrenia and dyslexia and mounting evidence also suggests that it may be abnormal in attention-deficit/hyperactivity disorder (ADHD). Accordingly, we suggest that studying entrainment in selective-attention paradigms is likely to reveal mechanisms underlying deficits across multiple disorders.

Autism spectrum disorders (ASDs) represent a formidable challenge for psychiatry and neuroscience because of their high prevalence, lifelong nature, complexity and substantial heterogeneity. Facing these obstacles requires large-scale multidisciplinary efforts. Although the field of genetics has pioneered data sharing for these reasons, neuroimaging had not kept pace. In response, we introduce the Autism Brain Imaging Data Exchange (ABIDE)-a grassroots consortium aggregating and openly sharing 1112 existing resting-state functional magnetic resonance imaging (R-fMRI) data sets with corresponding structural MRI and phenotypic information from 539 individuals with ASDs and 573 age-matched typical controls (TCs; 7-64 years) (http://fcon_1000.projects.nitrc.org/indi/abide/). Here, we present this resource and demonstrate its suitability for advancing knowledge of ASD neurobiology based on analyses of 360 male subjects with ASDs and 403 male age-matched TCs. We focused on whole-brain intrinsic functional connectivity and also survey a range of voxel-wise measures of intrinsic functional brain architecture. Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity. Exploratory analyses using an array of regional metrics of intrinsic brain function converged on common loci of dysfunction in ASDs (mid- and posterior insula and posterior cingulate cortex), and highlighted less commonly explored regions such as the thalamus. The survey of the ABIDE R-fMRI data sets provides unprecedented demonstrations of both replication and novel discovery. By pooling multiple international data sets, ABIDE is expected to accelerate the pace of discovery setting the stage for the next generation of ASD studies.Molecular Psychiatry advance online publication, 18 June 2013; doi:10.1038/mp.2013.78.

In the accompanying Annual Research Review, Horga and colleagues provide a comprehensive overview of the current limitations of magnetic resonance imaging (MRI) of developmental psychopathologies focusing particularly on experimental design. Horga et al. are unsparing in their assessment of the problems that plague current clinical neuroimaging studies. We will not reiterate the long list of deficiencies in the imaging literature, which persist despite its impressive volume (PubMed lists more than 135,000 papers with the terms 'magnetic resonance imaging' and 'brain'). Rather, in this Commentary, while we agree with Horga et al. that neuroimaging approaches merely represent one more types of tool, we look at where this leave us and the prospects (by attending to the lessons thoughtfully laid out by Horga and colleagues on how to place research design at the forefront in clinical neuroimaging) of better times ahead for our understanding of the pathophysiology of child- and adult-onset developmental psychiatric conditions.

Background: Epidemiological data indicate that rates of pediatric bipolar disorder (BD) and attention deficit/hyperactivity disorder (ADHD) have increased dramatically over the past two decades. Overlapping diagnostic criteria contribute to concerns about over- or mis-diagnosis of both disorders. Movement towards a nosology informed by neurobiology and symptoms, rather than symptoms alone, has the potential to improve the speed and clarity of diagnoses and treatments. To this end, the present study evaluated resting-state functional connectivity (RSFC) in children with primary BD (n=25), primary ADHD (n=24), and typically developing controls (TDCs; n=30) with no history of psychiatric illness. Methods: We enrolled children ages 7-17. Group status was determined via the Child Schedule for Affective Disorders (KSADs-PL). Participants completed an 8-minute RSFC EPI BOLD sequence and a T1 MPRAGE scan. We evaluated RSFC between seeds from the left dorsolateral prefrontal cortex (DLPFC), amygdala, and accumbens areas based on prior research implicating these areas in pediatric BD. Images were analyzed using the CPAC pipeline. Results: Analyses revealed significantly greater RSFC between the (1) left DLPFC and left occipital gyrus proximal to fusiform gyrus and (2) left accumbens area and right superior parietal lobule in TDC vs. BD participants (pairwise comparison ps = .026 and .013, respectively). Conclusions: Data indicate that altered task-independent functional connectivity in the DLPFC and accumbens areas may be specific to pediatric BD. Further study is warranted to determine if this specificity extends to other psychiatric disorders involving irritability, such as anxiety, as a potential biological diagnostic or treatment marker

Increasing attention is being paid to the relationship between attention deficit/hyperactivity disorder (ADHD) and obesity. While most available research focused on determining the extent of the association between ADHD and obesity, a few studies have examined the clinical implications of diagnosing/treating ADHD in individuals with obesity. Here, we provide a narrative review of studies addressing the impact of ADHD, or its treatment, in individuals with obesity. Reviewed studies suggest that ADHD impedes the successful treatment of obesity in individuals with comorbid ADHD and obesity. Preliminary evidence also suggests that ADHD treatment might significantly increase the effectiveness of weight management strategies. We discuss the limitations of the reviewed studies and provide suggestions for future research in the field.

Differential core symptoms and treatment responses are associated with the pure versus comorbid forms of attention-deficit/hyperactivity disorder (ADHD). However, comorbidity has largely been unaccounted for in neuroimaging studies of ADHD. We used diffusional kurtosis imaging to investigate gray matter (GM) and white matter (WM) microstructure of children and adolescents with ADHD (n = 22) compared to typically developing controls (TDC, n = 27) and examined whether differing developmental patterns are related to comorbidity. The ADHD group (ADHD-mixed) consisted of subgroups with and without comorbidity (ADHD-comorbid, n = 11; ADHD-pure, n = 11, respectively). Age-related changes and group differences in cerebral microstructure of the ADHD-mixed group and each ADHD subgroup were compared to TDC. Whole-brain voxel-based analyses with mean kurtosis (MK) and mean diffusivity (MD) metrics were conducted to probe GM and WM. Tract-based spatial statistics analyses of WM were performed with MK, MD, fractional anisotropy, and directional (axial, radial) kurtosis and diffusivity metrics. ADHD-pure patients lacked significant age-related changes in GM and WM microstructure that were observed globally in TDC and had significantly greater WM microstructural complexity than TDC in bilateral frontal and parietal lobes, insula, corpus callosum, and right external and internal capsules. Including ADHD patients with diverse comorbidities in analyses masked these findings. A distinct atypical age-related trajectory and aberrant regional differences in brain microstructure were detected in ADHD without comorbidity. Our results suggest that different phenotypic manifestations of ADHD, defined by the presence or absence of comorbidity, differ in cerebral microstructural markers. Hum Brain Mapp, 2013. (c) 2013 Wiley Periodicals, Inc.

The default network of the human brain has drawn much attention due to its relevance to various brain disorders, cognition, and behavior. However, its functional components and boundaries have not been precisely defined. There is no consensus as to whether the precuneus, a hub in the functional connectome, acts as part of the default network. This discrepancy is more critical for brain development and aging studies: it is not clear whether age has a stronger impact on the default network or precuneus, or both. We used Generalized Ranking and Averaging Independent Component Analysis by Reproducibility (gRAICAR) to investigate the lifespan trajectories of intrinsic functional networks. By estimating individual-specific spatial components and aligning them across subjects, gRAICAR measures the spatial variation of component maps across a population without constraining the same components to appear in every subject. In a cross-lifespan fMRI dataset (N=126, 7-85years old), we observed stronger age dependence in the spatial pattern of a precuneus-dorsal posterior cingulate cortex network compared to the default network, despite the fact that the two networks exhibit considerable spatial overlap and temporal correlation. These results remained even when analyses were restricted to a subpopulation with very similar head motion across age. Our analyses further showed that the two networks tend to merge with increasing age. Post-hoc analyses of functional connectivity confirmed the distinguishable cross-lifespan trajectories between the two networks. Based on these observations, we proposed a dynamic model of cross-lifespan functional segregation and integration between the two networks, suggesting that the precuneus network may have a different functional role than the default network, which declines with age. These findings have implications for understanding the functional roles of the default network, gaining insight into its dynamics throughout life, and guiding interpretation of alterations in brain disorders.

OBJECTIVE: A substantial proportion of children with attention-deficit/hyperactivity disorder (ADHD) also display emotion regulation deficits manifesting as chronic irritability, severe temper outbursts, and aggression. The amygdala is implicated in emotion regulation, but its connectivity and relation to emotion regulation in ADHD has yet to be explored. The purpose of this study was to examine the relationship between intrinsic functional connectivity (iFC) of amygdala circuits and emotion regulation deficits in youth with ADHD. METHOD: Bilateral amygdala iFC was examined using functional magnetic resonance imaging in 63 children with ADHD, aged 6 to 13 years. First, we examined the relationship between amygdala IFC and parent ratings of emotional lability (EL) in children with ADHD. Second, we compared amygdala iFC across subgroups of children with ADHD and high EL (n = 18), ADHD and low EL (n = 20), and typically developing children (TDC), all with low EL (n = 19). RESULTS: Higher EL ratings were associated with greater positive iFC between the amygdala and rostral anterior cingulate cortex in youth with ADHD. EL scores were also negatively associated with iFC between bilateral amygdala and posterior insula/superior temporal gyrus. Patterns of amygdala-cortical iFC in ADHD participants with low EL were not different from the comparison group, and the effect sizes for these comparisons were smaller than those for the trend-level differences observed between the high-EL and TDC groups. CONCLUSIONS: In children with ADHD and a range of EL, deficits in emotion regulation were associated with altered amygdala-cortical iFC. When comparing groups that differed on ADHD status but not EL, differences in amygdala iFC were small and nonsignificant, highlighting the specificity of this finding to emotional deficits, independent of other ADHD symptoms.