Faculty Bibliography

OBJECTIVE/UNASSIGNED:We used resting-state functional magnetic resonance imaging to identify changes in brain functional connectivity (FC) associated with Organizational Skills Training (OST). METHOD/UNASSIGNED:In an open, waitlist-controlled, randomized clinical trial (NCT04108273), 51 children aged 8-12 years with deficient organizational skills were assigned to immediate tele-health OST treatment (twice weekly, 10 weeks) or waitlist. We obtained Children's Organizational Skills Scale-Parent version (COSS-P) scores and examined FC changes between dorsal anterior cingulate cortex (dACC) and preregistered subcortical anterior ventral striatum (aVS) regions-of-interest. RESULTS/UNASSIGNED: < 0.05). Analyses were then performed with two additional analytic pipelines, neither of which detected any significant effects. CONCLUSION/UNASSIGNED:Although improvements in organizational deficits were associated with increased FC within a circuit linking dACC and the default mode network region of the aVS in one analysis, the direction was the opposite of predicted and results did not replicate. Thus, we highlight the tentativeness of our findings; we have de-identified all the data and made it available for investigators to examine and to combine with other datasets in mega- and meta-analyses. Future studies should also include alternative control conditions and larger samples. CLINICAL TRIAL REGISTRATION/UNASSIGNED:https://clinicaltrials.gov/study/NCT04108273?cond=NCT04108273&rank=1.

The subgenual anterior cingulate cortex (sgACC) plays a central role in the pathophysiology of major depressive disorder (MDD). Its functional interactive profile with the left dorsal lateral prefrontal cortex (DLPFC) is associated with transcranial magnetic stimulation (TMS) treatment outcomes. Previous research on sgACC functional connectivity (FC) in MDD has yielded inconsistent results, partly due to small sample sizes and limited statistical power. Furthermore, calculating sgACC-FC to target TMS individually is challenging. We used a large multi-site cross-sectional sample (1660 patients with MDD vs. 1341 healthy controls) from Phase II of the Depression Imaging REsearch ConsorTium (DIRECT) to systematically delineate case-control difference maps of sgACC-FC. We explored the potential impact of group-level abnormality profiles on TMS target localization and clinical efficacy. Next, we developed an MDD big data-guided, individualized TMS targeting algorithm to integrate group-level statistical maps with individual-level brain activity to individually localize TMS targets. We found enhanced sgACC-DLPFC FC in patients with MDD compared with healthy controls (HC). These group differences altered the position of the sgACC anti-correlation peak in the left DLPFC. We showed that the magnitude of case-control differences in the sgACC-FC was related to clinical improvement in two independent clinical samples. This targeting algorithm may generate targets demonstrating stronger associations with clinical efficiency than group-level targets. We reliably delineated MDD-related abnormalities of sgACC-FC profiles in a large, independently ascertained sample and demonstrated the potential impact of such case-control differences on FC-guided localization of TMS targets.

BACKGROUND/UNASSIGNED:Essential tremor (ET) is characterized by often disabling action tremors. No pharmacological agent has been developed specifically for symptomatic treatment. Anecdotal reports describe tremor improvement with cannabis, but no evidence exists to support these claims. We conducted a phase Ib/II double-blind, placebo-controlled, crossover pilot trial in participants with ET to investigate tolerability, safety, and efficacy of Tilray TN-CT120 LM, an oral pharmaceutical-grade formulation containing tetrahydrocannabinol (THC) 5 mg and cannabidiol (CBD) 100 mg. Our objectives were to determine if short-term THC/CBD exposure improved tremor amplitude and was tolerated. METHODS/UNASSIGNED:Participants with ET were randomized (1:1) to receive either TN-CT120 LM or placebo. Dose titration, driven by tolerability, was attempted every 2-3 days to three capsules daily maximum. Participants remained on the highest tolerated dose for two weeks before returning to complete assessments. After completing the first arm, participants titrated off the agent, underwent a three-week washout, and then returned for the same procedures with the alternate compound. The primary endpoint was tremor amplitude change from baseline using digital spiral assessment. Secondary endpoints explored safety and tolerability. RESULTS/UNASSIGNED:Among thirteen participants screened, seven were eligible and enrolled. Five completed all visits; one withdrew following a serious adverse event, and another did not tolerate the lowest dose. Intent-to-treat analyses performed for six participants did not reveal significant effects on primary or secondary endpoints. CONCLUSIONS/UNASSIGNED:This pilot trial did not detect any signals of efficacy of THC/CBD in ET. Although preliminary due to the small sample size, our data do not support anecdotal reports of cannabinoid effectiveness for ET. HIGHLIGHTS/UNASSIGNED:This double-blind, randomized, placebo-controlled efficacy and tolerability pilot trial did not detect any signals of efficacy of oral cannabidiol and tetrahydrocannabinol in reducing essential tremor amplitude using either digital outcome measures or clinical rating scales. The oral cannabinoids were well-tolerated by most (five out of seven) participants.

BACKGROUND:Children born very preterm (VPT) are at high risk for attention problems. This study's purpose was to describe the Conners Kiddie Continuous Performance Test (K-CPT) assessment in children born VPT, including rates of clinically elevated scores, change over time, and associations between K-CPT scores and parent reported attention problems. METHODS:We studied 305 children from a multi-site study of children born VPT who completed at least one K-CPT assessment at age 5, 6, and/or 7 years. Parent-reported ADHD symptoms and diagnosis were also collected. We calculated K-CPT completion rates, mean scores, and rates of clinically elevated scores at each timepoint. Linear mixed models examined change over time in K-CPT scores. Correlations and generalized linear models investigated associations between K-CPT scores and ADHD symptoms and diagnoses. RESULTS:K-CPT scores showed expected age-related improvements from age 5-7, with significant intra- and inter-individual variability. Up to 1/3 of children had clinically elevated attention problems and another 1/3 had subclinical elevations. K-CPT scores were modestly correlated with parent-rated ADHD symptoms and children with a parent-reported ADHD diagnosis performed worse on nearly all K-CPT metrics. CONCLUSION/CONCLUSIONS:Performance-based measures like the K-CPT can be useful for research and clinical practice in VPT populations. IMPACT/CONCLUSIONS:Attention problems are a specific area of weakness for children born very preterm. Performance-based tests of attention have benefits and drawbacks compared to parent report measures yet are understudied in this population. We examined one performance-based measure (the Conners Kiddie Continuous Performance Test [K-CPT]) in 305 children born very preterm. We observed improving task scores from age 5-7 years with significant intra- and inter-individual variability, a sizable proportion of children with clinically and subclinically elevated scores, and modest associations between K-CPT scores and parent reported attention problems. The K-CPT could be a useful clinical and research tool in this population.

Dialectical thinking represents a cognitive style emphasizing change, contradiction, and holism. Cross-cultural studies reveal a stark contrast of dialectical thinking between East Asian and Western cultures, highlighting East Asians' superior ability to embrace contradictions and foresee transformation, fostering psychological resilience through emotional complexity and tolerance for contradictions. Despite its importance, the neural basis of dialectical thinking remains underexplored. This review synthesizes current neuroscientific findings and introduces the dialectical-integration network (DIN) hypothesis, which identifies key brain regions such as the dorsal anterior cingulate cortex (dACC), medial prefrontal cortex (mPFC), dorsal lateral prefrontal cortex (DLPFC), nucleus accumbens, basal ganglia, and amygdala. These regions, along with networks like the default mode network (DMN) and frontoparietal network (FPN), facilitate holistic reasoning, conflict resolution, and sensory-emotional integration. The psychological benefits of dialectical thinking include enhanced cognitive flexibility, reduced emotional extremes, and improved conflict resolution. This review emphasizes the need for cross-cultural and neuroscientific research to explore the principle of change, a core aspect of dialectical cognition. By bridging cultural psychology and cognitive neuroscience, this work offers theoretical and methodological insights into culturally shaped cognitive styles, with practical applications in education, mental health, and intercultural communication. The DIN model provides a framework for future research on dynamic neural interactions supporting dialectical thinking.

Monosodium glutamate (MSG) has become one of the most widely used food additives in the global food supply. Although it has been classified for decades as a food ingredient that is generally recognized as safe, concerns about the health impacts of chronic MSG use, especially its potential effect on weight, are still ongoing. This comprehensive review summarizes the available human and animal evidence, highlighting potential mechanisms linking MSG use to weight gain or obesity, and discusses challenges and future research directions. Because of MSG intake worldwide as well as hidden MSG in food labeling, there is a pressing need for a mechanistic understanding of the health impacts of MSG use especially on weight. To generate robust scientific evidence and to clarify public concerns, rigorous mechanistic studies and randomized controlled clinical trials are warranted.

BACKGROUND:Children born preterm are at heightened risk for neurodevelopmental impairment, including specific deficits in attention. Few studies have investigated change over time in attention problems prior to school entry. The current study aims to describe trajectories of attention problems from age 2 through 5 years in a cohort of children born <30 weeks of gestational age (GA), identify sociodemographic, medical, and neurobehavioral characteristics associated with attention trajectories, and test whether attention problem trajectories predict the risk of a reported attention-deficit/hyperactivity disorder (ADHD) diagnosis. METHODS:We studied 608 infants from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) Study, a prospective, multisite study of infants born <30 weeks of GA. Parents reported on child attention problems at ages 2, 3, 4, and 5 years using the Child Behavior Checklist and the Behavior Assessment System for Children. Sociodemographic and medical characteristics were assessed via maternal interview and medical record review. Neurobehavioral characteristics were determined using neonatal and 2-year assessments. Parent report of child ADHD diagnosis was obtained. We used latent growth curve (LGC) modeling to test our study aims. RESULTS:A linear LGC model provided the best fit to the data. The average trajectory of attention problems evidenced low initial levels of symptoms and little change over time, yet there was significant heterogeneity in both initial levels and change over time. Individual differences in trajectory parameters were associated with sociodemographic, medical, environmental, and neurobehavioral characteristics. Children with higher initial levels of attention problems as well as steeper increases in attention problems over time were more likely to have a reported ADHD diagnosis. CONCLUSIONS:There is significant heterogeneity in trajectories of attention problems from age 2 to 5 in children born <30 weeks of GA and these differences have clinical relevance. These data could inform follow-up guidelines for preterm infants.

The promise of individually tailored care for autism has driven efforts to establish biomarkers. This chapter appraises the state of precision-medicine research focused on biomarkers based on the functional brain connectome. This work is grounded on abundant evidence supporting the brain dysconnection model of autism and the advantages of resting-state functional MRI (R-fMRI) for studying the brain in vivo. After considering biomarker requirements of consistency and clinical relevance, we provide a scoping review of R-fMRI studies of individual prediction in autism. In the past 10 years, responding to the availability of open data through the Autism Brain Imaging Data Exchange, machine learning studies have surged. Nearly all have focused on diagnostic label classification. These efforts have shown that autism prediction is feasible using functional connectome markers, with accuracy reported well above chance. In parallel, emerging approaches more directly addressing autism heterogeneity are paving the way for much-needed biomarkers of longitudinal outcome and treatment response. We conclude with key challenges to be addressed by the next generation of studies.