Systematic evaluation of machine learning algorithms for neuroanatomically-based age prediction in youth.

Application of machine learning (ML) algorithms to structural magnetic resonance imaging (sMRI) data has yielded behaviorally meaningful estimates of the biological age of the brain (brain-age). The choice of the ML approach in estimating brain-age in youth is important because age-related brain changes in this age-group are dynamic. However, the comparative performance of the available ML algorithms has not been systematically appraised. To address this gap, the present study evaluated the accuracy (mean absolute error [MAE]) and computational efficiency of 21 machine learning algorithms using sMRI data from 2105 typically developing individuals aged 5-22 years from five cohorts. The trained models were then tested in two independent holdout datasets, one comprising 4078 individuals aged 9-10 years and another comprising 594 individuals aged 5-21 years. The algorithms encompassed parametric and nonparametric, Bayesian, linear and nonlinear, tree-based, and kernel-based models. Sensitivity analyses were performed for parcellation scheme, number of neuroimaging input features, number of cross-validation folds, number of extreme outliers, and sample size. Tree-based models and algorithms with a nonlinear kernel performed comparably well, with the latter being especially computationally efficient. Extreme Gradient Boosting (MAE of 1.49 years), Random Forest Regression (MAE of 1.58 years), and Support Vector Regression (SVR) with Radial Basis Function (RBF) Kernel (MAE of 1.64 years) emerged as the three most accurate models. Linear algorithms, with the exception of Elastic Net Regression, performed poorly. Findings of the present study could be used as a guide for optimizing methodology when quantifying brain-age in youth.

Sex differences in predictors and regional patterns of brain age gap estimates.

The brain-age-gap estimate (brainAGE) quantifies the difference between chronological age and age predicted by applying machine-learning models to neuroimaging data and is considered a biomarker of brain health. Understanding sex differences in brainAGE is a significant step toward precision medicine. Global and local brainAGE (G-brainAGE and L-brainAGE, respectively) were computed by applying machine learning algorithms to brain structural magnetic resonance imaging data from 1113 healthy young adults (54.45% females; age range: 22-37 years) participating in the Human Connectome Project. Sex differences were determined in G-brainAGE and L-brainAGE. Random forest regression was used to determine sex-specific associations between G-brainAGE and non-imaging measures pertaining to sociodemographic characteristics and mental, physical, and cognitive functions. L-brainAGE showed sex-specific differences; in females, compared to males, L-brainAGE was higher in the cerebellum and brainstem and lower in the prefrontal cortex and insula. Although sex differences in G-brainAGE were minimal, associations between G-brainAGE and non-imaging measures differed between sexes with the exception of poor sleep quality, which was common to both. While univariate relationships were small, the most important predictor of higher G-brainAGE was self-identification as non-white in males and systolic blood pressure in females. The results demonstrate the value of applying sex-specific analyses and machine learning methods to advance our understanding of sex-related differences in factors that influence the rate of brain aging and provide a foundation for targeted interventions.

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.

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.

Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study.

Adolescence is a period of major brain reorganization shaped by biologically timed and by environmental factors. We sought to discover linked patterns of covariation between brain structural development and a wide array of these factors by leveraging data from the IMAGEN study, a longitudinal population-based cohort of adolescents. Brain structural measures and a comprehensive array of non-imaging features (relating to demographic, anthropometric, and psychosocial characteristics) were available on 1476 IMAGEN participants aged 14 years and from a subsample reassessed at age 19 years (n = 714). We applied sparse canonical correlation analyses (sCCA) to the cross-sectional and longitudinal data to extract modes with maximum covariation between neuroimaging and non-imaging measures. Separate sCCAs for cortical thickness, cortical surface area and subcortical volumes confirmed that each imaging phenotype was correlated with non-imaging features (sCCA r range: 0.30-0.65, all PFDR < 0.001). Total intracranial volume and global measures of cortical thickness and surface area had the highest canonical cross-loadings (|ρ| = 0.31-0.61). Age, physical growth and sex had the highest association with adolescent brain structure (|ρ| = 0.24-0.62); at baseline, further significant positive associations were noted for cognitive measures while negative associations were observed at both time points for prenatal parental smoking, life events, and negative affect and substance use in youth (|ρ| = 0.10-0.23). Sex, physical growth and age are the dominant influences on adolescent brain development. We highlight the persistent negative influences of prenatal parental smoking and youth substance use as they are modifiable and of relevance for public health initiatives.

Impact of opioid agonist treatment on mental health in patients with opioid use disorder: a systematic review and network meta-analysis of randomized clinical trials.

Background: There is a knowledge gap in systematic reviews on the impact of opioid agonist treatments on mental health.Objectives: We compared mental health outcomes between different opioid agonist treatments and placebo/waitlist, and between the different opioids themselves.Methods: This meta-analysis of randomized clinical trials (RCTs) was pre-registered at PROSPERO (CRD42018109375). Embase, MEDLINE, PsychInfo, CINAHL Complete, and Web of Science Core Collection were searched from inception to May 2020. RCTs were included if they compared opioid agonists with each other or with placebo/waitlist in the treatment of patients with opioid use disorder and reported at least one mental health outcome after 1-month post-baseline. Studies with psychiatric care, adjunct psychotropic medications, or unbalanced psychosocial services were excluded. The primary outcome was overall mental health symptomatology, e.g. Symptom Checklist 90 total score, between opioids and placebo/waitlist. Random effects models were used for all the meta-analyses.Results: Nineteen studies were included in the narrative synthesis and 15 in the quantitative synthesis. Hydromorphone, diacetylmorphine (DAM), methadone, slow-release oral morphine, buprenorphine, and placebo/waitlist were among the included interventions. Based on the network meta-analysis for primary outcomes, buprenorphine (SMD (CI95%) = -0.61 (-1.20, -0.11)), DAM (-1.40 (-2.70, -0.23)), and methadone (-1.20 (-2.30, -0.11)) were superior to waitlist/placebo on overall mental health. Further direct pairwise meta-analysis indicated that overall mental health improved more in DAM compared to methadone (-0.23 (-0.34, -0.13)).Conclusions: Opioid agonist treatments used for the treatment of opioid use disorder improve mental health independent of psychosocial services.

Parsing out the role of dopamine D4 receptor gene (DRD4) on alcohol-related phenotypes: A meta-analysis and systematic review.

Genetics account for moderate variation of individual differences in developing alcohol use disorder (AUD), but it is unclear which genetic variations contribute to AUD risk. One candidate gene investigated due to its association with AUD is the dopamine D4 receptor gene (DRD4), which contains a 48-base pair variable number tandem repeat (VNTR) in exon 3 of its coding region. To date, no quantitative synthesis of the published literature on the effects of DRD4 VNTR variation on alcohol-related phenotypes has been conducted. MEDLINE, Embase, Web of Science, and PsycInfo were searched for studies that reported on alcohol craving, alcohol consumption, severity of AUD, and case-control (AUD versus no diagnosis of AUD) studies in DRD4L (seven repeats or more) carriers compared with DRD4S (six repeats or less) homozygotes. Random-effects meta-analysis was used for all analyses. A pooled sample size of 655 to 13,360 of 28 studies were included. Compared with DRD4S homozygotes, DRD4L carriers had increased number of drinking days (SMD: 0.205; 95% CI: 0.008 to 0.402), binge drinking days (SMD: 0.217; 95% CI: 0.0532 to 0.380), and severity of AUD (SMD: 0.143; 95% CI: 0.028 to 0.259). There was no difference between DRD4 VNTR genotypes on drinks per drinking day, largest number of drinks per day/occasion, and case-control analysis. It was not possible to conduct a meta-analysis of the craving data, but a systematic review of this literature found mixed results on DRD4 VNTR genotype effect. The present meta-analysis suggests DRD4 VNTR variation may be a risk factor for problematic alcohol use. Our findings are limited, however, by the absence of ancestry data from studies included in our analysis, precluding our ability to adjust for population stratification. Due to the likelihood of type I error in candidate gene approaches, our work highlights the critical need for studies with larger and more inclusive samples that account for sex and genetic ancestry to fully understand this relationship.

Apgar score and risk of autism.

Low Apgar score has been associated with higher risk for several neurological and psychiatric disorders, including cerebral palsy and intellectual disability. Studies of the association between Apgar score and autism spectrum disorder (ASD) have been inconsistent. We aimed to investigate (1) the association between low Apgar score at 5 min and risk for ASD, and (2) the modifying effects of gestational age and sex on this association in the largest multinational database of ASD. We included prospective data from 5.5 million individuals and over 33,000 cases of ASD from Norway, Sweden, Denmark and Western Australia who were born between 1984 and 2007. We calculated crude and adjusted risk ratios (RR) with 95% confidence intervals (95% CIs) for the associations between low Apgar score and ASD. All analyses for ASD were repeated for autistic disorder (AD). We used interaction terms and stratified analysis to investigate the effects of sex, gestational age, and birth weight on the association. In fully adjusted models, low Apgar scores (1-3) (RR, 1.42; 95% CI, 1.16-1.74), and intermediate Apgar scores (4-6) (RR, 1.50; 95% CI, 1.36-1.65) were associated with a higher RR of ASD than optimal Apgar score (7-10). The point estimates for low (RR, 1.88; 95% CI, 1.41-2.51) and intermediate Apgar score (RR, 1.54; 95% CI, 1.32-1.81) were larger for AD than for ASD. This study suggests that low Apgar score is associated with higher risk of ASD, and in particular AD. We did not observe any major modifying effects of gestational age and sex, although there seems to be substantial confounding by gestational age and birth weight on the observed association.

Environmental exposure to metals, neurodevelopment, and psychosis.

PURPOSE OF REVIEW: This article presents a new hypothesis about the possible relation between early life exposure to metals and psychosis. We review limitations of available research, and discuss novel approaches to overcome previous methodological barriers. RECENT FINDINGS: Mechanistic studies suggest a possible association between excess lead, manganese, cadmium, arsenic, or copper, and zinc deficiency, and several biochemical disturbances related to psychosis, such as altered neurotransmitters levels, excitotoxicity, and inflammation. Furthermore, studies suggest that some metals (lead, manganese, cadmium excess, and zinc deficiency) are associated with schizophrenia or psychosis-related phenotype. However, previous studies had multiple methodological limitations. Importantly, metal exposure was often measured after disease development and seldom determined during critical developmental periods. Most studies fell short of depicting the exact timing of exposure and the change in exposure over time. Here, we propose several methods to overcome these methodological limitations. SUMMARY: There is a plausible role of early life exposure to metals in the cause of psychosis. Owing to methodological limitations in exposure measurement, this has not been well characterized. Considering the wide exposure to metals and the high cost of psychosis to society, this hypothesis should be rigorously examined.

Memantine for Prophylactic Treatment of Migraine Without Aura: A Randomized Double-Blind Placebo-Controlled Study.

BACKGROUND: Uncontrolled studies in human have suggested that memantine might be a suitable option for migraine prophylaxis. OBJECTIVE: To assess the efficacy and tolerability of memantine for migraine prophylaxis. METHODS: This was a 12-week randomized double-blind placebo-controlled parallel-group study. Sixty patients with migraine without aura were randomized using a computer-generated list to receive memantine (10 mg/day) or placebo for 12 weeks. The primary outcome was the difference in change from baseline in the monthly attack frequency at week 12 between the two groups (using migraine diary). Secondary efficacy measures were assessed using several clinical, functional, and psychological instruments. We performed both complete case (CC) and intention-to-treat analyses (ITT). RESULTS: Twenty-five patients in the memantine group and 27 patients in the placebo group completed the study. Patients in the memantine group showed significantly greater reduction (mean change; 3.4; 95%CI, 2.3-4.4) in the monthly attack frequency than the placebo group (mean change, 1.0; 95%CI, 0.3-1.7) (mean difference [MD], 2.3; 95%CI, 1.1-3.5, P < .001). Both CC (MD, 4.9; 95%CI, 2.6-7.2 days), and ITT analyses (MD, 5.2; 95%CI, 2.0-8.5) showed significantly higher reduction in the mean number of migraine days in the memantine group than the placebo group (P < .01). Patients in the memantine group experienced greater reduction in the number of work absence days, severity, and disability score than the patients in the placebo group in both ITT and CC analyses. Changes in quality of life, sleep, depression, and anxiety did not differ between the two groups. Three patients in the memantine group complained of sedation, mild vertigo and nausea, and drowsiness. In the placebo group, one patient complained of nausea and another patient discontinued treatment after 2 weeks due to vertigo. CONCLUSION: Memantine might be a tolerable and efficacious option for prophylaxis in patients with migraine without aura. Tolerability, short duration required for titration, and safety profile in pregnancy might give memantine an advantage over other antimigraine medications. The study was registered in the Iranian Registry of Clinical Trials (Registration number: IRCT2013120115616N1).

Quality of life in Iranian patients with bipolar disorder: a psychometric study of the Persian Brief Quality of Life in Bipolar Disorder (QoL.BD).

PURPOSE: To assess the reliability, validity, and factor structure of the Persian Brief Quality of Life in Bipolar Disorder (QoL.BD) in Iranian patients with bipolar disorder (BD). METHODS: After translation and cross-cultural adaptation of the Brief QoL.BD, we administered the questionnaire to 184 patients diagnosed with BD. To determine factor structure, we performed both exploratory and confirmatory factor analyses. To investigate the reliability, we assessed internal consistency, reproducibility and agreement. Construct validity was assessed by calculating correlations between the Brief QoL.BD and the Short Form-36 (SF-36), Positive And Negative Affect Schedule (PANAS), Hamilton Depression Rating Scale, Young Mania Rating Scale (YMRS) and Quality of Life Enjoyment and Satisfaction Questionnaire Short Form (Q-LES-Q-SF). We also investigated gender differences in interpretations of QoL.BD items. RESULTS: The results obtained from reliability analysis confirmed internal consistency (Cronbach's alpha was 0.87 and 0.89 for two assessments) and reproducibility and agreement (the intraclass correlation coefficient ranged between 0.74 and 0.94). Validity analyses showed that the items loaded on a single-factor structure. The inter-item correlations varied from 0.31 to 0.68. Significantly lower scores on the Brief QoL.BD were observed in people diagnosed with BD I compared to BD II. Significant correlations were observed between the Brief QoL.BD and SF-36 summary measures, HAMD, YMRS, Q-LES-Q-SF and PANAS subscales. Items in the Brief QoL.BD were interpreted similarly by men and women. CONCLUSIONS: The Brief Persian QoL.BD is a psychometrically sound measure with acceptable validity and reliability and provides a rapid assessment tool for measuring QoL in patients with BD.

Differences in schizophrenia treatments by race and ethnicity-analysis of electronic health records.

Racial disparities in prescriptions of anti-psychotics have been highlighted before. However, (i) the evidence on other medications, including anti-depressant or mood stabilizing medications is lacking, and (ii) the role of potentially confounding factors and (iii) specificity of such disparities to schizophrenia (SCZ), are still unknown. We used electronic health records (EHRs) from 224,212 adults to estimate the odds ratios of receiving a prescription for different nervous system medications among patients with SCZ of different race/ethnicity, and analogous linear models to investigate differences in prescribed medication doses. To verify specificity of the observed patterns to SCZ, we conducted analogous analyses in depression and bipolar disorder (BD) patients. We found that Black/African American (AA) and Hispanic patients with SCZ were more likely to be prescribed haloperidol (Black/AA: OR = 1.52 (1.33-1.74); Hispanic: OR = 1.32 (1.12-1.55)) or risperidone (Black/AA: OR = 1.27 (1.11-1.45); Hispanic: OR = 1.40 (1.19-1.64)), but less likely to be prescribed clozapine (Black/AA: OR = 0.40 (0.33-0.49); Hispanic: OR = 0.45 (0.35-0.58)), compared to white patients. There were no race/ethnicity-related differences in the prescribed medication doses. These patterns were not specific to SCZ: Asian, Hispanic and Black/AA patients with BD or depression were more likely to be prescribed anti-psychotics, but less likely to be prescribed antidepressants or mood-stabilizers. In conclusion, we found racial/ethnic disparities in the medications prescribed to patients with SCZ and other psychiatric conditions. We discuss the potential implications for the quality of care for patients of diverse races/ethnicities.

Memantine add-on to risperidone for treatment of negative symptoms in patients with stable schizophrenia: randomized, double-blind, placebo-controlled study.

We aimed to evaluate the efficacy of memantine add-on in the treatment of primary negative symptoms of patients with stable schizophrenia. In a double-blind placebo-controlled clinical trial, 40 patients with schizophrenia (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) who were stabilized on risperidone for a minimum of 8 weeks were randomized to either memantine (20 mg) or placebo in addition to risperidone, 6 mg/d, for eight weeks. Assessment was done using the Positive and Negative Syndrome Scale at baseline, week 4, and week 8. The Hamilton Depression Rating Scale and the Extrapyramidal Symptom Rating Scale at baseline and week 8 were used to assess depression and extrapyramidal symptoms, respectively. All 40 patients had at least one postbaseline measurement, and 38 patients completed the trial. Patients in the memantine group showed a significantly greater improvement on negative subscale than the placebo group at end point (P < 0.001). The same effect was observed for the total score (P < 0.001) and the general psychopathology subscale score (P = 0.002). There was no significant difference in reduction of positive symptoms score between the 2 groups (P = 0.757). Changes in the Hamilton Depression Rating Scale and the Extrapyramidal Symptom Rating Scale scores and frequency of adverse effects did not differ between the 2 groups. Our study showed that memantine is a tolerable and efficacious add-on treatment for primary negative symptoms of schizophrenia.

Aspirin for treatment of lithium-associated sexual dysfunction in men: randomized double-blind placebo-controlled study.

OBJECTIVES: The aim of the present study was to assess the effect of aspirin on lithium-related sexual dysfunction in men with stable bipolar affective disorder (BAD). METHODS: In a randomized, double-blind, placebo-controlled study, 32 men with stable BAD who had been on lithium maintenance therapy randomly received aspirin (240 mg/day) or placebo for six weeks. The International Index for Erectile Function (IIEF) was used to assess sexual symptoms at baseline, Week 3, and Week 6. Depressive and mania symptoms and plasma lithium concentrations were assessed at baseline and Week 6. Side effects were assessed using a checklist. RESULTS: Thirty patients (15/group) completed the study. Baseline and endpoint lithium concentrations and mania and depressive symptoms did not differ significantly between the two groups. Significant effects of time × treatment interaction were observed for total score [Greenhouse-Geisser: F(1.410,39.466) = 6.084, p = 0.010] and erectile function [Greenhouse-Geisser: F(1.629,45.602) = 7.250, p = 0.003]. By Week 6, patients in the aspirin group showed significantly greater improvement in the total (63.9% improvement from the baseline) and erectile function domain (85.4% improvement from the baseline) scores than the placebo group (14.4% and 19.7% improvement from the baseline, p-values = 0.002 and 0.001, respectively). By Week 6, 12 (80%) patients in the aspirin group and three (20%) patients in the placebo group met the criteria of minimal clinically important change [χ(2) (1) = 10.800, p = 0.001]. Other IIEF domains also showed significant improvement at the end of the trial. The frequency of side effects was similar between the two groups. CONCLUSION: Aspirin effectively improves lithium-related sexual dysfunction in men with stable BAD.

Transient elastography in hepatitis C virus-infected patients with beta-thalassemia for assessment of fibrosis.

AIM: We sought to evaluate the performance of transient elastography (TE) for the assessment of liver fibrosis in chronic hepatitis C (CHC) patients with beta-thalassemia. METHODS: Seventy-six CHC patients with beta-thalassemia underwent TE, liver biopsy, T2 -weighted magnetic resonance imaging (MRI) for the assessment of liver iron content (LIC) and laboratory evaluation. The accuracy of TE and its correlation with the other variables was assessed. RESULTS: TE values increased proportional to fibrosis stage (r = 0.404, P < 0.001), but was independent of T2 -weighted MRI-LIC (r = 0.064, P = 0.581). In multivariate analysis, fibrosis stage was still associated with the log-transformed TE score(standardized ß = 0.42 for F4 stage of METAVIR, P = 0.001). No correlation was noted between LIC and TE score (standardized ß = 0.064, P = 0.512). The area under the receiver operating characteristic curve for prediction of cirrhosis was 80% (95% confidence interval, 59-100%). A cut-off TE score of 11 had a sensitivity of 78% and specificity of 88.1% for diagnosing cirrhosis. The best cut-off values for "TE-FIB-4 cirrhosis score" comprising TE and FIB-4 and "TE-APRI cirrhosis score" combining TE with aspartate aminotransferase-to-platelet ratio index (APRI) both had 87.5% sensitivity and 91.04% specificity for the diagnosis of cirrhosis. CONCLUSION: Regardless of LIC, TE alone or when combined with FIB-4 or APRI, is a diagnostic tool with moderate to high accuracy to evaluate liver fibrosis in CHC patients with beta-thalassemia. However, because splenectomy in a proportion of our subjects might have affected the platelet count, the scores utilizing APRI and FIB-4 should be interpreted cautiously.

Saffron for treatment of fluoxetine-induced sexual dysfunction in women: randomized double-blind placebo-controlled study.

OBJECTIVE: Saffron (Crocus sativus L.) has shown beneficial aphrodisiac effects in some animal and human studies. The aim of the present study was to assess the safety and efficacy of saffron on selective serotonin reuptake inhibitor-induced sexual dysfunction in women. METHODS: This was a randomized double-blind placebo-controlled study. Thirty-eight women with major depression who were stabilized on fluoxetine 40 mg/day for a minimum of 6 weeks and had experienced subjective feeling of sexual dysfunction entered the study. The patients were randomly assigned to saffron (30 mg/daily) or placebo for 4 weeks. Measurement was performed at baseline, week 2, and week 4 using the Female Sexual Function Index (FSFI). Side effects were systematically recorded. RESULTS: Thirty-four women had at least one post-baseline measurement and completed the study. Two-factor repeated measure analysis of variance showed significant effect of time × treatment interaction [Greenhouse-Geisser's corrected: F(1.580, 50.567) = 5.366, p = 0.012] and treatment for FSFI total score [F(1, 32) = 4.243, p = 0.048]. At the end of the fourth week, patients in the saffron group had experienced significantly more improvement in total FSFI (p < 0.001), arousal (p = 0.028), lubrication (p = 0.035), and pain (p = 0.016) domains of FSFI but not in desire (p = 0.196), satisfaction (p = 0.206), and orgasm (p = 0.354) domains. Frequency of side effects was similar between the two groups. CONCLUSIONS: It seems saffron may safely and effectively improve some of the fluoxetine-induced sexual problems including arousal, lubrication, and pain.

Ondansetron in patients with tinnitus: randomized double-blind placebo-controlled study.

The aim of this study was to assess the effect of ondansetron on symptoms of patients with subjective tinnitus accompanied by sensorineural hearing loss or normal hearing. Sixty patients with a chief complaint of tinnitus (with duration of more than 3 months) were equally randomized to ondansetron or placebo for 4 weeks. The dose of ondansetron was gradually increased from 4 mg/day (one tablet) to 16 mg/day (4 tablets) during 12 days and then continued up to 4 weeks. The exact number of tablets was prescribed in the placebo group. Patients underwent audiologic examinations and filled questionnaires at baseline and after 4 weeks of treatment. Our primary outcomes were changes in Tinnitus Handicap Inventory questionnaire (THI), Tinnitus Severity Index (TSI) and visual analog scale (VAS) scores. Our secondary outcomes were the changes in depression and anxiety based on Hospital Anxiety and Depression (HADS) questionnaire, side effects, tinnitus loudness matching, tinnitus pitch matching, pure tone audiometry and speech recognition threshold (SRT). In the ondansetron and placebo groups, 27 and 26 patients completed the study, respectively. The changes in VAS (P = 0.934), THI (P = 0.776), anxiety (P = 0.313) and depression (P = 0.163) scores were not different between the groups. TSI score decreased significantly in the ondansetron compared with the placebo group (P = 0.004). Changes in tinnitus loudness matching (P = 0.75) and pitch matching (P = 0.56) did not differ between the two groups. Ondansetron, but not placebo, decreased the SRT threshold (right, P < 0.001; left, P = 0.043) and mean PTA (right, P = 0.006; left, P < 0.001). In conclusion, ondansetron reduces the severity of tinnitus hypothetically through cochlear amplification.

Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism.

Binge eating disorder (BED) is the most common eating disorder, yet its genetic architecture remains largely unknown. Studying BED is challenging because it is often comorbid with obesity, a common and highly polygenic trait, and it is underdiagnosed in biobank data sets. To address this limitation, we apply a supervised machine-learning approach (using 822 cases of individuals diagnosed with BED) to estimate the probability of each individual having BED based on electronic medical records from the Million Veteran Program. We perform a genome-wide association study of individuals of African (n = 77,574) and European (n = 285,138) ancestry while controlling for body mass index to identify three independent loci near the HFE, MCHR2 and LRP11 genes and suggest APOE as a risk gene for BED. We identify shared heritability between BED and several neuropsychiatric traits, and implicate iron metabolism in the pathophysiology of BED. Overall, our findings provide insights into the genetics underlying BED and suggest directions for future translational research.

Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization.

We present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance of deviations from typical age-related neuroanatomical changes and support future study designs. This framework was developed using regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The Multivariate Factorial Polynomial Regression (MFPR) emerged as the preferred algorithm optimized using nonlinear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins, and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3,000 study participants. The model and scripts described here are freely available through CentileBrain (https://centilebrain.org/).

Bupropion versus methylphenidate in the treatment of children with attention-deficit/hyperactivity disorder: randomized double-blind study.

OBJECTIVE: To compare the safety and efficacy of bupropion with methylphenidate in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). METHODS: In a 6-week randomized double-blind study, 44 patients with a DSM-IV-TR diagnosis of ADHD were randomly assigned to receive bupropion 100-150 mg/day (100 mg/day for <30 kg and 150 mg/day for >30 kg) or methylphenidate 20-30 mg/day. Symptoms were assessed using Teacher and Parent Attention-Deficit/Hyperactivity Disorder Rating Scale-IV (ADHD-RS-IV) at baseline and weeks 3 and 6. RESULTS: Forty patients had at least one post-baseline measurement, and 38 patients completed the trial. No significant difference was found between the two groups on the Parent and Teacher ADHD-RS-IV scores ([F(1, 38) = 0.266, p = 0.609] and [F(1, 38) = 0.001, p = 0.972], respectively). By week 6, 18 patients (90%) in each group achieved response on the Parent scale (Fisher's exact test p-value = 1.0). With the Teacher ADHD-RS-IV used, eight (40%) patients in the bupropion group and 12 (60%) patients in the methylphenidate group achieved response by week 6 (χ(2) (1) = 1.600, p = 0.206). Headache was observed more frequently in the methylphenidate group. Frequency of other side effects was not significantly different between the two groups. CONCLUSIONS: Bupropion has a comparable safety and efficacy profile with methylphenidate in children and adolescents with ADHD.