Faculty Bibliography

BACKGROUND: Although differences in both neuroanatomical measures and personality traits, in particular neuroticism, have been associated with alcohol use disorders (AUD), whether lifetime AUD diagnosis alters the relationship between neuroticism and neuroanatomical structures remains to be determined. METHODS: Data from 65 patients with lifetime AUD diagnoses and 65 healthy comparisons (HC) group-matched on age, sex and race were extracted from the Nathan Kline Institute - Rockland Sample data set. Each subject completed personality trait measures and underwent MRI scanning. Cortical thickness measures at 68 Desikan-Killiany Atlas regions were obtained using FreeSurfer 5.3.0. Regression analyses were performed to identify brain regions at which the neuroticism-cortical thickness relationship was altered by lifetime AUD status. RESULTS: As expected, AUDs had higher neuroticism scores than HCs. Correlations between neuroticism and cortical thickness in the left insula and right fusiform differed significantly across groups. Higher neuroticism score in AUD and the interaction between the insular cortical thickness-neuroticism correlation and AUD status were confirmed in a replication study using the Human Connectome Project data set. CONCLUSIONS: Results confirmed the relationship between neuroticism and AUD and suggests that specific cortical regions, particularly the left insula, represent anatomic substrates underlying this association in AUD.

This data descriptor describes a repository of openly shared data from an experiment to assess inter-individual differences in default mode network (DMN) activity. This repository includes cross-sectional functional magnetic resonance imaging (fMRI) data from the Multi Source Interference Task, to assess DMN deactivation, the Moral Dilemma Task, to assess DMN activation, a resting state fMRI scan, and a DMN neurofeedback paradigm, to assess DMN modulation, along with accompanying behavioral and cognitive measures. We report technical validation from n=125 participants of the final targeted sample of 180 participants. Each session includes acquisition of one whole-brain anatomical scan and whole-brain echo-planar imaging (EPI) scans, acquired during the aforementioned tasks and resting state. The data includes several self-report measures related to perseverative thinking, emotion regulation, and imaginative processes, along with a behavioral measure of rapid visual information processing. Technical validation of the data confirms that the tasks deactivate and activate the DMN as expected. Group level analysis of the neurofeedback data indicates that the participants are able to modulate their DMN with considerable inter-subject variability. Preliminary analysis of behavioral responses and specifically self-reported sleep indicate that as many as 73 participants may need to be excluded from an analysis depending on the hypothesis being tested. The present data are linked to the enhanced Nathan Kline Institute, Rockland Sample and builds on the comprehensive neuroimaging and deep phenotyping available therein. As limited information is presently available about individual differences in the capacity to directly modulate the default mode network, these data provide a unique opportunity to examine DMN modulation ability in relation to numerous phenotypic characteristics.

BACKGROUND: Data-driven approaches can capture behavioral and biological variation currently unaccounted for by contemporary diagnostic categories, thereby enhancing the ability of neurobiological studies to characterize brain-behavior relationships. METHODS: A community-ascertained sample of individuals (N = 347, 18-59 years of age) completed a battery of behavioral measures, psychiatric assessment, and resting-state functional magnetic resonance imaging in a cross-sectional design. Bootstrap-based exploratory factor analysis was applied to 49 phenotypic subscales from 10 measures. Hybrid hierarchical clustering was applied to resultant factor scores to identify nested groups. Adjacent groups were compared via independent samples t tests and chi-square tests of factor scores, syndrome scores, and psychiatric prevalence. Multivariate distance matrix regression examined functional connectome differences between adjacent groups. RESULTS: Reduction yielded six factors, which explained 77.8% and 65.4% of the variance in exploratory and constrained exploratory models, respectively. Hybrid hierarchical clustering of these six factors identified two, four, and eight nested groups (i.e., phenotypic communities). At the highest clustering level, the algorithm differentiated functionally adaptive and maladaptive groups. At the middle clustering level, groups were separated by problem type (maladaptive groups; internalizing vs. externalizing problems) and behavioral type (adaptive groups; sensation-seeking vs. extraverted/emotionally stable). Unique phenotypic profiles were also evident at the lowest clustering level. Group comparisons exhibited significant differences in intrinsic functional connectivity at the highest clustering level in somatomotor, thalamic, basal ganglia, and limbic networks. CONCLUSIONS: Data-driven approaches for identifying homogenous subgroups, spanning typical function to dysfunction, not only yielded clinically meaningful groups, but also captured behavioral and neurobiological variation among healthy individuals.

Objectives: Organizational Skills Training (OST), is a 10-week psychosocial intervention found effective in improving organizational, time management, and planning (OTMP) skills in children with Attention-Deficit/Hyperactivity Disorder (ADHD). Little is known about the feasibility of identifying brain markers for treatment response. Using resting state fMRI (R-fMRI), we aimed to examine neuronal correlates of post-treatment change as a first step toward larger controlled studies of objective predictors of treatment response. Methods: We examined pre- and post-OST R-fMRI data of 15 children (12 males; mean age: 9+/-1 year) with ADHD and significant impairments in OTMP skills indexed by total scores on Children's Organizational Skills Scales-Parent (COSS-P) or Teacher (COSS-T). Our primary outcome measure was the change in COSS-P scores. As secondary summary outcome measure, we used prepost Z-score differences averaged across COSS-T, Homework Problems Checklist, Academic Progress Report and Academic Performance Rating scales. We selected a priori the intrinsic functional connectivity (iFC) of the dorsal anterior cingulate cortex (dACC), based on its role on cognitive control. Multivariate distance matrix regression (MDMR) analysis additionally allowed for whole-brain explorations. Follow-up iFC analyses were conducted on regions with significant within-subject post-OST differences by MDMR analysis. Results: COSS-P decreased significantly (t=7.1, p< 0.0001). In a cluster involving striatum bilaterally, dACC iFC decreased post-OST; these decreases were positively correlated with COSS-P improvements (r=.34, NS) and to improvements in the summary outcome (r=.63; p<0.03). MDMR analyses revealed iFC changes in the right medial and lateral precentral cortex. Followup seed-based iFC analyses of this region showed significant decreases in cortico-striatal iFC post-OST. Conclusions: Results support the feasibility of identifying changes in brain iFC after OST. Two distinct analysis converged on decreased corticosubcortical iFC post-treatment which related to change in clinical measures. As decreases in striato-cortical iFC characterize typical development, results suggest regionally-specific enhanced maturational effects of OST

Objectives: The goals of this study are to describe long-term clinical and functional outcomes in the New York Study of hyperactive children who were followed prospectively for 33 years and identify possible predictors that influence these outcomes. Methods: White hyperactive boys (N = 207 probands) were recruited in childhood and followed in adolescence (mean age 18 years), early adulthood (mean age 25 years), and mid-adulthood (mean age 41 years). In late adolescence, 178 comparison participants were recruited. At the final followup in mid-adulthood, a total of 135 probands and 136 comparison participants (65.2 and 76.4 percent of original cohort, respectively) were assessed. Outcome measures included occupational, economic, and educational attainment and marital history, occupational and social functioning, ongoing and lifetime psychiatric disorders, hospitalizations, obesity, risk-taking behaviors, and criminal behaviors. Results: Compared with peers without ADHD, probands showed greater persistence of ADHD, along with greater prevalence of CD/antisocial personality disorder (APD) and SUD in late adolescence. These dysfunctions continued into early adulthood, even when ADHD remitted for the majority of the sample group, and were associated with deficits in educational and occupational attainment, leading to a relative economic disadvantage. Furthermore, the disproportionally high rate of CD/APD and SUD in probands versus comparison participants translated to significantly higher rates of criminality, risk-taking behavior, and risk-related medical outcomes in adulthood. Probands also showed elevated obesity rates in relation to comparison participants but no differences in mood or anxiety disorders. Conclusions: There is heterogeneity in the clinical and functional outcomes of children with ADHD. This study's findings show that childhood ADHD does not preclude adequate functioning in various life domains. However, it does predispose to maladjustment in adolescence and adulthood in a subset of these children, particularly those who develop CD/APD, an important predictor of long-term outcome

BACKGROUND: Methylphenidate and atomoxetine are commonly prescribed for treating attention deficit hyperactivity disorder (ADHD). However, their therapeutic neural mechanisms remain unclear. METHOD: After baseline evaluation including cognitive testing of the Cambridge Neuropsychological Test Automated Battery (CANTAB), drug-naive children with ADHD (n = 46), aged 7-17 years, were randomly assigned to a 12-week treatment with methylphenidate (n = 22) or atomoxetine (n = 24). Intrinsic brain activity, including the fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo), was quantified via resting-state functional magnetic resonance imaging at baseline and week 12. RESULTS: Reductions in inattentive symptoms were related to increased fALFF in the left superior temporal gyrus and left inferior parietal lobule for ADHD children treated with methylphenidate, and in the left lingual gyrus and left inferior occipital gyrus for ADHD children treated with atomoxetine. Hyperactivity/impulsivity symptom reductions were differentially related to increased fALFF in the methylphenidate group and to decreased fALFF in the atomoxetine group in bilateral precentral and postcentral gyri. Prediction analyses in the atomoxetine group revealed negative correlations between pre-treatment CANTAB simple reaction time and fALFF change in the left lingual gyrus and left inferior occipital gyrus, and positive correlations between pre-treatment CANTAB simple movement time and fALFF change in bilateral precentral and postcentral gyri and left precuneus, with a negative correlation between movement time and the fALFF change in the left lingual gyrus and the inferior occipital gyrus. CONCLUSIONS: Our findings suggest differential neurophysiological mechanisms for the treatment effects of methylphenidate and atomoxetine in children with ADHD.

OBJECTIVE: To examine whether childhood attention-deficit/hyperactivity disorder (ADHD) predicts homelessness in adulthood, and whether the persistence of childhood ADHD through adolescence influences the likelihood of homelessness. METHOD: A 33-year prospective, controlled, follow-up was performed of clinic-referred, 6- to 12-year-old boys of white ethnicity with ADHD (probands; mean = 8), at a mean age of 41 years (follow-up [FU] = 41). Comparisons, children without ADHD from the same medical center, were matched for age and socioeconomic status (SES). Both groups were evaluated at a mean age of 18 years (FU18). Homelessness was assessed at FU41 in 134 of 207 probands (65%) and 136 of 178 (76%) comparisons. We tested the following: the relationship between childhood ADHD and homelessness; whether adolescent dysfunctions (conduct disorder, non-alcohol substance use disorder, arrests, and school dropout) accounted for this relationship, if found; and whether ADHD that persisted through FU18 elevated probands' homelessness rate. RESULTS: Probands had significantly higher rates of homelessness than comparisons (23.7% vs. 4.4%; chi21 = 21.15, df = 1, p < .001). In a multivariate analysis, including childhood ADHD and covariates, the probands' significant elevation of homelessness remained (odds ratio [OR] = 3.60, 95% CI = 1.32-9.76, p = .01). Probands with persistent ADHD through adolescence had significantly more homelessness than remitted probands (chi21 = 12.73, p < .001), but this relationship was no longer significant when conduct disorder at FU18 was controlled (OR = 1.97, 95% CI = 0.89-4.38, p = .09). CONCLUSION: Among boys of white ethnicity who were followed into adulthood, childhood ADHD was associated with an elevated rate of homelessness. Findings point to the need for clinical monitoring of childhood ADHD through adolescence, even when ADHD does not persist, in hopes of mitigating a cascade of malfunction that includes homelessness.

Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN). These DMN regions exhibit the greatest geodesic distance along the cortical surface-and are precisely equidistant-from primary sensory/motor morphological landmarks. The principal gradient also provides an organizing spatial framework for multiple large-scale networks and characterizes a spectrum from unimodal to heteromodal activity in a functional metaanalysis. Together, these observations provide a characterization of the topographical organization of cortex and indicate that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.