Faculty Bibliography

BACKGROUND:Major depressive disorder (MDD) is one of the most prevalent and disabling illnesses worldwide. Treatment of MDD typically relies on trial-and-error to find an effective approach. Identifying early response-related biomarkers that predict response to antidepressants would help clinicians to decide, as early as possible, whether a particular treatment might be suitable for a given patient. METHODS:Data were from the two-stage Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) trial. A whole-brain, voxel-wise, mixed-effects model was applied to identify early-treatment cerebral blood flow (CBF) changes as biomarkers of treatment response. We examined changes in CBF measured with arterial spin labeling 1-week after initiating double-masked sertraline/placebo. We tested whether these early 1-week scans could be used to predict response observed after 8-weeks of treatment. RESULTS:Response to 8-week placebo treatment was associated with increased cerebral perfusion in temporal cortex and reduced cerebral perfusion in postcentral region captured at 1-week of treatment. Additionally, CBF response in these brain regions was significantly correlated with improvement in Hamilton Depression Rating Scale score in the placebo group. No significant associations were found for selective serotonin reuptake inhibitor treatment. CONCLUSIONS:We conclude that early CBF responses to placebo administration in multiple brain regions represent candidate neural biomarkers of longer-term antidepressant effects.

IMPORTANCE/UNASSIGNED:Noninvasive brain stimulation (NIBS) interventions have been shown to be efficacious in several mental disorders, but the optimal dose stimulation parameters for each disorder are unknown. OBJECTIVE/UNASSIGNED:To define NIBS dose stimulation parameters associated with the greatest efficacy in symptom improvement across mental disorders. DATA SOURCES/UNASSIGNED:Studies were drawn from an updated (to April 30, 2023) previous systematic review based on a search of PubMed, OVID, and Web of Knowledge. STUDY SELECTION/UNASSIGNED:Randomized clinical trials were selected that tested transcranial magnetic stimulation (TMS) or transcranial direct current stimulation (tDCS) for any mental disorder in adults aged 18 years or older. DATA EXTRACTION AND SYNTHESIS/UNASSIGNED:Two authors independently extracted the data. A 1-stage dose-response meta-analysis using a random-effects model was performed. Sensitivity analyses were conducted to test robustness of the findings. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The main outcome was the near-maximal effective doses of total pulses received for TMS and total current dose in coulombs for tDCS. RESULTS/UNASSIGNED:A total of 110 studies with 4820 participants (2659 men [61.4%]; mean [SD] age, 42.3 [8.8] years) were included. The following significant dose-response associations emerged with bell-shaped curves: (1) in schizophrenia, high-frequency (HF) TMS on the left dorsolateral prefrontal cortex (LDLPFC) for negative symptoms (χ2 = 9.35; df = 2; P = .009) and TMS on the left temporoparietal junction for resistant hallucinations (χ2 = 36.52; df = 2; P < .001); (2) in depression, HF-DLPFC TMS (χ2 = 14.49; df = 2; P < .001); (3) in treatment-resistant depression, LDLPFC tDCS (χ2 = 14.56; df = 2; P < .001); and (4) in substance use disorder, LDLPFC tDCS (χ2 = 33.63; df = 2; P < .001). The following significant dose-response associations emerged with plateaued or ascending curves: (1) in depression, low-frequency (LF) TMS on the right DLPFC (RDLPFC) with ascending curve (χ2 = 25.67; df = 2; P = .001); (2) for treatment-resistant depression, LF TMS on the bilateral DLPFC with ascending curve (χ2 = 5.86; df = 2; P = .004); (3) in obsessive-compulsive disorder, LF-RDLPFC TMS with ascending curve (χ2 = 20.65; df = 2; P < .001) and LF TMS on the orbitofrontal cortex with a plateaued curve (χ2 = 15.19; df = 2; P < .001); and (4) in posttraumatic stress disorder, LF-RDLPFC TMS with ascending curve (χ2 = 54.15; df = 2; P < .001). Sensitivity analyses confirmed the main findings. CONCLUSIONS AND RELEVANCE/UNASSIGNED:The study findings suggest that NIBS yields specific outcomes based on dose parameters across various mental disorders and brain regions. Clinicians should consider these dose parameters when prescribing NIBS. Additional research is needed to prospectively validate the findings in randomized, sham-controlled trials and explore how other parameters contribute to the observed dose-response association.

Children and adolescents with autism spectrum disorder (ASD) experience various sleep problems. Sleep problems co-occur in a bidirectional relationship with ASD core symptoms and behavioral problems. However, studies on how these three factors are intricately linked to each other are limited. This meta-analysis examined the differential relationship between specific sleep problems, core symptoms, and behavioral problems in this population. This study was registered in PROSPERO (CRD42022339695). We systematically searched the PubMed/MEDLINE, Web of Science, and Scopus databases from inception to April 27, 2022. Observational studies that reported correlations between measures of sleep problems, ASD core symptoms, or ASD behavioral problems were included, and participants aged 18 years or below were enrolled. The correlation coefficient (r) was assessed as the primary effect metric. Total 22 cross-sectional studies were included, which comprised 2655 participants (mean age = 6.60 years old; mean percentage of boys = 80.64%). We found correlations between total sleep problems and total core symptoms (r 0.293 [95% confidence interval - 0.095 to 0.604]), total sleep problems and total behavioral problems (r 0.429 [0.299-0.544]), and total core symptoms and total behavioral problems (r - 0.050 [- 0.177 to 0.079]) and identified statistically significant correlations between specific components of sleep problems, ASD core symptoms, and ASD behavioral problems. Each specific sleep problem showed a unique association with core symptoms and behavioral problems. Sleep problems in ASD should be explored in detail, and the closely linked core symptoms and behavioral problems should be common therapeutic targets.

BACKGROUND:Pediatric cancer patients' oncology teams regularly take on a primary care role, but due to the urgent nature of cancer treatment, developmental screenings may be deprioritized. This leaves patients at risk of developmental diagnoses and referrals being delayed. AIMS/OBJECTIVE:Clarify the current developmental surveillance and screening practices of one pediatric oncology team. MATERIALS AND METHODS/METHODS:Researchers reviewed charts for patients (n = 66) seen at a pediatric oncology clinic in a suburban academic medical center to determine engagement in developmental screening (including functioning around related areas such as speech, neurocognition, etc.) and referrals for care in these areas. RESULTS:Developmental histories were collected from all patients through admission history and physical examination (H&P), but there was no routinized follow-up. Physicians did not conduct regular developmental screening per American Academy of Pediatrics guidelines for any patients but identified n = 3 patients with needs while the psychology team routinely surveilled all patients seen during this time (n = 41) and identified n = 18 patients as having delays. DISCUSSION/CONCLUSIONS:Physicians did not routinely screen for development needs beyond H&P and were inconsistent in developmental follow-up/referrals. Integrated psychologists were key in generating referrals for developmental-based care. However, many oncology patients were not seen by psychologists quickly or at all, creating a significant gap in care during a crucial developmental period. CONCLUSION/CONCLUSIONS:The case is made for further routinization of ongoing developmental screening in pediatric oncology care.

We introduce an innovative, data-driven topological data analysis (TDA) technique for estimating the state spaces of dynamically changing functional human brain networks at rest. Our method utilizes the Wasserstein distance to measure topological differences, enabling the clustering of brain networks into distinct topological states. This technique outperforms the commonly used k-means clustering in identifying brain network state spaces by effectively incorporating the temporal dynamics of the data without the need for explicit model specification. We further investigate the genetic underpinnings of these topological features using a twin study design, examining the heritability of such state changes. Our findings suggest that the topology of brain networks, particularly in their dynamic state changes, may hold significant hidden genetic information.

BACKGROUND:Psychotic-like experiences (PLEs) and adverse life events (ALEs) are highly prevalent in sub-Saharan Africa where gendered practices are also common. There is, however, a paucity of data on how the relationship between PLEs and life adversities is influenced by gender. The current study addressed this gap. METHOD/METHODS:Data were collected from 1886 school-based young people (1174 females) in Ghana, West Africa using a cross-sectional survey methodology and analyzed using Chi-square, independent t-test, Pearson correlation, and multivariate regression. RESULTS:The results showed that victimization experiences, school stress and having a family member with mental illness were significantly associated with PLEs in both males and females. In contrast, substance misuse and experiences of head trauma correlated significantly with PLEs in females only. CONCLUSION/CONCLUSIONS:Life adversities constitute major risk factors for PLEs among school-based young people in Ghana, who could benefit from gender neutral and gender-sensitive intervention programming to remediate the effects of life adversities on PLEs.

BACKGROUND:Attention Deficit/Hyperactivity Disorder (ADHD), if severe, is usually treated with stimulant or non-stimulant medication. However, users prefer non-drug treatments due to side effects. Alternative non-medication treatments have so far only shown modest effects. External trigeminal nerve stimulation (eTNS) is a minimal risk, non-invasive neuromodulation device, targeting the trigeminal system. It was approved for ADHD in 2019 by the USA Food and Drug administration (FDA) based on a small proof of concept randomised controlled trial (RCT) in 62 children with ADHD showing improvement of ADHD symptoms after 4 weeks of nightly real versus sham eTNS with minimal side effects. We present here the protocol of a larger confirmatory phase IIb study testing efficacy, longer-term persistency of effects and underlying mechanisms of action. METHODS:A confirmatory, sham-controlled, double-blind, parallel-arm, multi-centre phase IIb RCT of 4 weeks of eTNS in 150 youth with ADHD, recruited in London, Portsmouth, and Southampton, UK. Youth with ADHD will be randomized to either real or sham eTNS, applied nightly for 4 weeks. Primary outcome is the change in the investigator-administered parent rated ADHD rating scale. Secondary outcomes are other clinical and cognitive measures, objective hyperactivity and pupillometry measures, side effects, and maintenance of effects over 6 months. The mechanisms of action will be tested in a subgroup of 56 participants using magnetic resonance imaging (MRI) before and after the 4-week treatment. DISCUSSION/CONCLUSIONS:This multi-centre phase IIb RCT will confirm whether eTNS is effective in a larger age range of children and adolescents with ADHD, whether it improves cognition and other clinical measures, whether efficacy persists at 6 months and it will test underlying brain mechanisms. The results will establish whether eTNS is effective and safe as a novel non-pharmacological treatment for ADHD. TRIAL REGISTRATION/BACKGROUND:ISRCTN82129325 on 02/08/2021, https://doi.org/10.1186/ISRCTN82129325 .