Conceptualisations of pain amongst resettled Nepali-speaking Bhutanese adults in rural and regional Australia.

INTRODUCTION: Nepali-speaking Bhutanese refugees have been subject to one of the largest resettlement programs in the world and experience higher rates of chronic pain when compared to the general population. The purpose of this study was to explore qualitative conceptualisations of chronic pain among a group of Nepali-speaking Bhutanese adults with a refugee background who relocated to rural and regional Australia. METHODS: Participants included 22 individuals (females n=15) with chronic pain, who took part in structured qualitative focus groups exploring their experiences of chronic pain. Data were analysed using thematic analysis and five main themes were developed. RESULTS: The themes were: (1) pain is persistent and creates suffering, (2) pain is subjective and poorly understood, (3) pain is a biomedical problem that needs to be solved, (4) pain is complex and more than a biomedical problem, and (5) coping with pain is multi-faceted.Some participants viewed pain through a predominantly biomedical lens, and some recognised social and psychological factors as contributors to pain. Overwhelmingly, the participants believed pain is complex and multifaceted, requiring active and passive strategies for management, some of which are culturally informed. CONCLUSION: The experiences of resettled Nepali-speaking Bhutanese refugees living with pain are important to elucidate to improve healthcare inequalities among this marginalised group. This research will inform future assessment guidelines and treatment programs for Nepali-speaking Bhutanese adults living with chronic pain.

How do substance use disorders compare to other psychiatric conditions on structural brain abnormalities? A cross-disorder meta-analytic comparison using the ENIGMA consortium findings.

Alcohol use disorder (AUD) and cannabis use disorder (CUD) are associated with brain alterations particularly involving fronto-cerebellar and meso-cortico-limbic circuitry. However, such abnormalities have additionally been reported in other psychiatric conditions, and until recently there has been few large-scale investigations to compare such findings. The current study uses the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium method of standardising structural brain measures to quantify case-control differences and to compare brain-correlates of substance use disorders with those published in relation to other psychiatric disorders. Using the ENIGMA protocols, we report effect sizes derived from a meta-analysis of alcohol (seven studies, N = 798, 54% are cases) and cannabis (seven studies, N = 447, 45% are cases) dependent cases and age- and sex-matched controls. We conduct linear analyses using harmonised methods to process and parcellate brain data identical to those reported in the literature for ENIGMA case-control studies of major depression disorder (MDD), schizophrenia (SCZ) and bipolar disorder so that effect sizes are optimally comparable across disorders. R elationships between substance use disorder diagnosis and subcortical grey matter volumes and cortical thickness were assessed with intracranial volume, age and sex as co-variates . After correcting for multiple comparisons, AUD case-control meta-analysis of subcortical regions indicated significant differences in the thalamus, hippocampus, amygdala and accumbens, with effect sizes (0.23) generally equivalent to, or larger than |0.23| those previously reported for other psychiatric disorders (except for the pallidum and putamen). On measures of cortical thickness, AUD was associated with significant differences bilaterally in the fusiform gyrus, inferior temporal gyrus, temporal pole, superior frontal gyrus, and rostral and caudal anterior cingulate gyri. Meta-analysis of CUD case-control studies indicated reliable reductions in amygdala, accumbens and hippocampus volumes, with the former effect size comparable to, and the latter effect size around half of that reported for alcohol and SCZ. CUD was associated with lower cortical thickness in the frontal regions, particularly the medial orbitofrontal region, but this effect was not significant after correcting for multiple testing. This study allowed for an unbiased cross-disorder comparison of brain correlates of substance use disorders and showed alcohol-related brain anomalies equivalent in effect size to that found in SCZ in several subcortical and cortical regions and significantly greater alterations than those found in MDD in several subcortical and cortical regions. Although modest, CUD results overlapped with findings reported for AUD and other psychiatric conditions, but appear to be most robustly related to reduce thickness of the medial orbitofrontal cortex.

Predicting alcohol dependence from multi-site brain structural measures.

To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly generalizable to unseen sites and populations. This problem was explored in a mega-analysis of previously published datasets from 2,034 AD and comparison participants spanning 27 sites curated by the ENIGMA Addiction Working Group. Data were grouped into a training set used for internal validation including 1,652 participants (692 AD, 24 sites), and a test set used for external validation with 382 participants (146 AD, 3 sites). An exploratory data analysis was first conducted, followed by an evolutionary search based feature selection to site generalizable and high performing subsets of brain measurements. Exploratory data analysis revealed that inclusion of case- and control-only sites led to the inadvertent learning of site-effects. Cross validation methods that do not properly account for site can drastically overestimate results. Evolutionary-based feature selection leveraging leave-one-site-out cross-validation, to combat unintentional learning, identified cortical thickness in the left superior frontal gyrus and right lateral orbitofrontal cortex, cortical surface area in the right transverse temporal gyrus, and left putamen volume as final features. Ridge regression restricted to these features yielded a test-set area under the receiver operating characteristic curve of 0.768. These findings evaluate strategies for handling multi-site data with varied underlying class distributions and identify potential biomarkers for individuals with current AD.

Error awareness and post-error slowing: The effect of manipulating trial intervals.

Post-error slowing is often considered to be an error-related process that relies upon conscious error recognition, however evidence regarding this relationship is mixed. These inconsistent findings may be explained by the influence of task demands on post-error slowing. The current set of experiments aimed to investigate the role of error awareness in post-error slowing in an error awareness task with up to three dynamic conditions. In each condition, we manipulated the interval between lure trials (infrequent trials that require a different response to target trials) such that they were presented either randomly (standard condition), closely spaced (proximal condition) or widely spaced (distal condition) among target trials. This design attempted to clarify if the relationship between error awareness and post-error slowing is contingent upon task constraints such as trial timing and whether it persists over several trials. Our experiments demonstrate that under dynamic lure interval conditions, error awareness and post-error slowing are only weakly related. Further, post-error slowing was greatest in the standard condition which randomly presented lure trials, while accuracy was lowest in this condition across both experiments. Exclusion of the first post-error trial from both experiments eliminated all effects, indicating that there were only transient differences in post-error reaction time adjustments that were exclusive to the first post-error trial. Our findings thus align with non-functional accounts of post-error slowing and support the notion that post-error slowing and cognitive control can be separate processes that are largely not dependent on error awareness.

Adding saliva testing to oropharyngeal and deep nasal swab testing increases PCR detection of SARS-CoV-2 in primary care and children.

OBJECTIVE: To compare the concordance and acceptability of saliva testing with standard-of-care oropharyngeal and bilateral deep nasal swab testing for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in children and in general practice. DESIGN: Prospective multicentre diagnostic validation study. SETTING: Royal Children's Hospital, and two general practices (cohealth, West Melbourne; Cirqit Health, Altona North) in Melbourne, July-October 2020. PARTICIPANTS: 1050 people who provided paired saliva and oropharyngeal-nasal swabs for SARS-CoV-2 testing. MAIN OUTCOME MEASURES: Numbers of cases in which SARS-CoV-2 was detected in either specimen type by real-time polymerase chain reaction; concordance of results for paired specimens; positive percent agreement (PPA) for virus detection, by specimen type. RESULTS: SARS-CoV-2 was detected in 54 of 1050 people with assessable specimens (5%), including 19 cases (35%) in which both specimens were positive. The overall PPA was 72% (95% CI, 58-84%) for saliva and 63% (95% CI, 49-76%) for oropharyngeal-nasal swabs. For the 35 positive specimens from people aged 10 years or more, PPA was 86% (95% CI, 70-95%) for saliva and 63% (95% CI, 45-79%) for oropharyngeal-nasal swabs. Adding saliva testing to standard-of-care oropharyngeal-nasal swab testing increased overall case detection by 59% (95% CI, 29-95%). Providing saliva was preferred to an oropharyngeal-nasal swab by most participants (75%), including 141 of 153 children under 10 years of age (92%). CONCLUSION: In children over 10 years of age and adults, saliva testing alone may be suitable for SARS-CoV-2 detection, while for children under 10, saliva testing may be suitable as an adjunct to oropharyngeal-nasal swab testing for increasing case detection.

Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence.

Rates of cannabis use among adolescents are high, and are increasing concurrent with changes in the legal status of marijuana and societal attitudes regarding its use. Recreational cannabis use is understudied, especially in the adolescent period when neural maturation may make users particularly vulnerable to the effects of Δ-9-tetrahydrocannabinol (THC) on brain structure. In the current study, we used voxel-based morphometry to compare gray matter volume (GMV) in forty-six 14-year-old human adolescents (males and females) with just one or two instances of cannabis use and carefully matched THC-naive controls. We identified extensive regions in the bilateral medial temporal lobes as well as the bilateral posterior cingulate, lingual gyri, and cerebellum that showed greater GMV in the cannabis users. Analysis of longitudinal data confirmed that GMV differences were unlikely to precede cannabis use. GMV in the temporal regions was associated with contemporaneous performance on the Perceptual Reasoning Index and with future generalized anxiety symptoms in the cannabis users. The distribution of GMV effects mapped onto biomarkers of the endogenous cannabinoid system providing insight into possible mechanisms for these effects.SIGNIFICANCE STATEMENT Almost 35% of American 10th graders have reported using cannabis and existing research suggests that initiation of cannabis use in adolescence is associated with long-term neurocognitive effects. We understand very little about the earliest effects of cannabis use, however, because most research is conducted in adults with a heavy pattern of lifetime use. This study presents evidence suggesting structural brain and cognitive effects of just one or two instances of cannabis use in adolescence. Converging evidence suggests a role for the endocannabinoid system in these effects. This research is particularly timely as the legal status of cannabis is changing in many jurisdictions and the perceived risk by youth associated with smoking cannabis has declined in recent years.

Neuropsychosocial profiles of current and future adolescent alcohol misusers.

A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.

Ventromedial Prefrontal Volume in Adolescence Predicts Hyperactive/Inattentive Symptoms in Adulthood.

Youths with attention-deficit/hyperactivity disorder symptomatology often exhibit residual inattention and/or hyperactivity in adulthood; however, this is not true for all individuals. We recently reported that dimensional, multi-informant ratings of hyperactive/inattentive symptoms are associated with ventromedial prefrontal cortex (vmPFC) structure. Herein, we investigate the degree to which vmPFC structure during adolescence predicts hyperactive/inattentive symptomatology at 5-year follow-up. Structural equation modeling was used to test the extent to which adolescent vmPFC volume predicts hyperactive/inattentive symptomatology 5 years later in early adulthood. 1104 participants (M = 14.52 years, standard deviation = 0.42; 583 females) possessed hyperactive/inattentive symptom data at 5-year follow-up, as well as quality controlled neuroimaging data and complete psychometric data at baseline. Self-reports of hyperactive/inattentive symptomatology were obtained during adolescence and at 5-year follow-up using the Strengths and Difficulties Questionnaire (SDQ). At baseline and 5-year follow-up, a hyperactive/inattentive latent variable was derived from items on the SDQ. Baseline vmPFC volume predicted adult hyperactive/inattentive symptomatology (standardized coefficient = -0.274, P < 0.001) while controlling for baseline hyperactive/inattentive symptomatology. These results are the first to reveal relations between adolescent brain structure and adult hyperactive/inattentive symptomatology, and suggest that early structural development of the vmPFC may be consequential for the subsequent expression of hyperactive/inattentive symptoms.

Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study.

While imaging studies have demonstrated volumetric differences in subcortical structures associated with dependence on various abused substances, findings to date have not been wholly consistent. Moreover, most studies have not compared brain morphology across those dependent on different substances of abuse to identify substance-specific and substance-general dependence effects. By pooling large multinational datasets from 33 imaging sites, this study examined subcortical surface morphology in 1628 nondependent controls and 2277 individuals with dependence on alcohol, nicotine, cocaine, methamphetamine, and/or cannabis. Subcortical structures were defined by FreeSurfer segmentation and converted to a mesh surface to extract two vertex-level metrics-the radial distance (RD) of the structure surface from a medial curve and the log of the Jacobian determinant (JD)-that, respectively, describe local thickness and surface area dilation/contraction. Mega-analyses were performed on measures of RD and JD to test for the main effect of substance dependence, controlling for age, sex, intracranial volume, and imaging site. Widespread differences between dependent users and nondependent controls were found across subcortical structures, driven primarily by users dependent on alcohol. Alcohol dependence was associated with localized lower RD and JD across most structures, with the strongest effects in the hippocampus, thalamus, putamen, and amygdala. Meanwhile, nicotine use was associated with greater RD and JD relative to nonsmokers in multiple regions, with the strongest effects in the bilateral hippocampus and right nucleus accumbens. By demonstrating subcortical morphological differences unique to alcohol and nicotine use, rather than dependence across all substances, results suggest substance-specific relationships with subcortical brain structures.

The initiation of cannabis use in adolescence is predicted by sex-specific psychosocial and neurobiological features.

Cannabis use initiated during adolescence might precipitate negative consequences in adulthood. Thus, predicting adolescent cannabis use prior to any exposure will inform the aetiology of substance abuse by disentangling predictors from consequences of use. In this prediction study, data were drawn from the IMAGEN sample, a longitudinal study of adolescence. All selected participants (n = 1,581) were cannabis-naïve at age 14. Those reporting any cannabis use (out of six ordinal use levels) by age 16 were included in the outcome group (N = 365, males n = 207). Cannabis-naïve participants at age 14 and 16 were included in the comparison group (N = 1,216, males n = 538). Psychosocial, brain and genetic features were measured at age 14 prior to any exposure. Cross-validated regularized logistic regressions for each use level by sex were used to perform feature selection and obtain prediction error statistics on independent observations. Predictors were probed for sex- and drug-specificity using post-hoc logistic regressions. Models reliably predicted use as indicated by satisfactory prediction error statistics, and contained psychosocial features common to both sexes. However, males and females exhibited distinct brain predictors that failed to predict use in the opposite sex or predict binge drinking in independent samples of same-sex participants. Collapsed across sex, genetic variation on catecholamine and opioid receptors marginally predicted use. Using machine learning techniques applied to a large multimodal dataset, we identified a risk profile containing psychosocial and sex-specific brain prognostic markers, which were likely to precede and influence cannabis initiation.

Mapping adolescent reward anticipation, receipt, and prediction error during the monetary incentive delay task.

The functional neuroanatomy and connectivity of reward processing in adults are well documented, with relatively less research on adolescents, a notable gap given this developmental period's association with altered reward sensitivity. Here, a large sample (n = 1,510) of adolescents performed the monetary incentive delay (MID) task during functional magnetic resonance imaging. Probabilistic maps identified brain regions that were reliably responsive to reward anticipation and receipt, and to prediction errors derived from a computational model. Psychophysiological interactions analyses were used to examine functional connections throughout reward processing. Bilateral ventral striatum, pallidum, insula, thalamus, hippocampus, cingulate cortex, midbrain, motor area, and occipital areas were reliably activated during reward anticipation. Bilateral ventromedial prefrontal cortex and bilateral thalamus exhibited positive and negative activation, respectively, during reward receipt. Bilateral ventral striatum was reliably active following prediction errors. Previously, individual differences in the personality trait of sensation seeking were shown to be related to individual differences in sensitivity to reward outcome. Here, we found that sensation seeking scores were negatively correlated with right inferior frontal gyrus activity following reward prediction errors estimated using a computational model. Psychophysiological interactions demonstrated widespread cortical and subcortical connectivity during reward processing, including connectivity between reward-related regions with motor areas and the salience network. Males had more activation in left putamen, right precuneus, and middle temporal gyrus during reward anticipation. In summary, we found that, in adolescents, different reward processing stages during the MID task were robustly associated with distinctive patterns of activation and of connectivity.

Individual differences in stop-related activity are inflated by the adaptive algorithm in the stop signal task.

Research using the Stop Signal Task employing an adaptive algorithm to accommodate individual differences often report inferior performance on the task in individuals with ADHD, OCD, and substance use disorders compared to non-clinical controls. Furthermore, individuals with deficits in inhibitory control tend to show reduced neural activity in key inhibitory regions during successful stopping. However, the adaptive algorithm systematically introduces performance-related differences in objective task difficulty that may influence the estimation of individual differences in stop-related neural activity. This report examines the effect that these algorithm-related differences have on the measurement of neural activity during the stop signal task. We compared two groups of subjects (n = 210) who differed in inhibitory ability using both a standard fMRI analysis and an analysis that resampled trials to remove the objective task difficulty confound. The results show that objective task difficulty influences the magnitude of between-group differences and that controlling for difficulty attenuates stop-related activity differences between superior and poor inhibitors. Specifically, group differences in the right inferior frontal gyrus, right middle occipital gyrus, and left inferior frontal gyrus are diminished when differences in objective task difficulty are controlled for. Also, when objective task difficulty effects are exaggerated, group differences in stop related activity emerge in other regions of the stopping network. The implications of these effects for how we interpret individual differences in activity levels are discussed.

Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth.

OBJECTIVE: To determine if measures of adverse childhood experiences and DNA methylation relate to indices of obesity in youth. STUDY DESIGN: Participants were derived from a cohort of 321 8 to 15-year-old children recruited for an investigation examining risk and resilience and psychiatric outcomes in maltreated children. Assessments of obesity were collected as an add-on for a subset of 234 participants (56% female; 52% maltreated). Illumina arrays were used to examine whole genome epigenetic predictors of obesity in saliva DNA. For analytic purposes, the cohort analyzed in the first batch comprised the discovery sample (n = 160), and the cohort analyzed in the second batch the replication sample (n = 74). RESULTS: After controlling for race, sex, age, cell heterogeneity, 3 principal components, and whole genome testing, 10 methylation sites were found to interact with adverse childhood experiences to predict cross-sectional measures of body mass index, and an additional 6 sites were found to exert a main effect in predicting body mass index (P < 5.0 × 10-7, all comparisons). Eight of the methylation sites were in genes previously associated with obesity risk (eg, PCK2, CxCl10, BCAT1, HID1, PRDM16, MADD, PXDN, GALE), with several of the findings from the discovery data set replicated in the second cohort. CONCLUSIONS: This study lays the groundwork for future longitudinal studies to elucidate these mechanisms further and identify novel interventions to alleviate the health burdens associated with early adversity.

Anxious/depressed symptoms are related to microstructural maturation of white matter in typically developing youths.

There are multiple recent reports of an association between anxious/depressed (A/D) symptomatology and the rate of cerebral cortical thickness maturation in typically developing youths. We investigated the degree to which anxious/depressed symptoms are tied to age-related microstructural changes in cerebral fiber pathways. The participants were part of the NIH MRI Study of Normal Brain Development. Child Behavior Checklist A/D scores and diffusion imaging were available for 175 youths (84 males, 91 females; 241 magnetic resonance imagings) at up to three visits. The participants ranged from 5.7 to 18.4 years of age at the time of the scan. Alignment of fractional anisotropy data was implemented using FSL/Tract-Based Spatial Statistics, and linear mixed model regression was carried out using SPSS. Child Behavior Checklist A/D was associated with the rate of microstructural development in several white matter pathways, including the bilateral anterior thalamic radiation, bilateral inferior longitudinal fasciculus, left superior longitudinal fasciculus, and right cingulum. Across these pathways, greater age-related fractional anisotropy increases were observed at lower levels of A/D. The results suggest that subclinical A/D symptoms are associated with the rate of microstructural development within several white matter pathways that have been implicated in affect regulation, as well as mood and anxiety psychopathology.

Asenapine for the Treatment of Psychotic Disorders.

OBJECTIVE: A systematic review was conducted to examine the efficacy, tolerability, and acceptability of asenapine compared with other antipsychotics in the treatment of psychotic disorders. METHODS: Four databases, 8 trial registries, and conference presentations were searched for randomized clinical trials of asenapine versus any comparator for the treatment of any psychotic illness. Primary outcome measures were changes in the Positive and Negative Syndrome Scale (PANSS) total score and the incidence of withdrawal due to adverse effects. RESULTS: Eight randomized clinical trials, encompassing 3765 patients, that compared asenapine with placebo ( n = 5) and olanzapine ( n = 3) were included. No differences were found between asenapine and olanzapine in terms of changes to PANSS total or PANSS negative subscale scores. Patients taking asenapine were more likely to experience worsening schizophrenia and/or psychosis than were those taking olanzapine. No differences were found between asenapine and olanzapine in rates of discontinuation due to adverse drug reactions or lack of efficacy, but those taking asenapine had higher rates of withdrawal for any reason than those taking olanzapine. Asenapine caused less clinically significant weight gain or increases in triglycerides than olanzapine and was more likely to cause extrapyramidal symptoms than olanzapine. In comparison to placebo, either no difference or superiority was demonstrated in favour of asenapine on all efficacy measures. CONCLUSION: The current evidence is limited, as asenapine has been compared only with placebo or olanzapine. In the randomized clinical trials analysed, asenapine was similar or superior to placebo and similar or inferior to olanzapine on most efficacy outcomes. While asenapine demonstrated fewer adverse metabolic outcomes than olanzapine, rates of extrapyramidal symptom-related adverse effects were higher.

Postconcussion symptoms are associated with cerebral cortical thickness in healthy collegiate and preparatory school ice hockey players.

OBJECTIVE: To investigate the degree to which concussion history and postconcussive symptoms are associated with cortical morphology among male hockey players. STUDY DESIGN: Male subjects (n = 29), ranging in age from 14 to 23 years (mean 17.8 years), were recruited from preparatory school and collegiate ice hockey teams and underwent neuroimaging and baseline Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) testing. Cerebral cortical thickness was regressed against ImPACT Total Symptom Score (TSS), concussion history, as well as baseline measures of psychopathology. Reconstruction of surfaces and cortical thickness analysis were conducted with FreeSurfer (version 5.3.0). RESULTS: ImPACT TSS was inversely associated with local cortical thickness in widespread brain areas. Associations were revealed in a host of frontal as well as bilateral temporoparietal cortices. Conversely, concussion history was not associated with cortical thickness. An "Age by Concussion History" interaction was associated with thickness in the right ventrolateral and right parietal cortices. Post-hoc analysis revealed that concussed participants did not exhibit age-related cortical thinning in these regions. CONCLUSION: We have identified an association between brain structure and postconcussive symptoms among young, otherwise-healthy male athletes. Postconcussive symptoms and related reductions in cortical thickness may be tied to participation in a full-contact sport that involves frequent blows to the head.

Altered resting-state connectivity in adolescent cannabis users.

BACKGROUND: Cannabis is the most commonly used illicit drug in adolescence. Heavy use is associated with deficits on a broad range of cognitive functions and heavy use during adolescence may impact development of gray and white matter. OBJECTIVES: To examine differences in intrinsic brain activity and connectivity associated with cannabis dependence in adolescence using whole-brain voxelwise approaches. METHODS: Adolescents admitted to a drug-treatment facility for cannabis dependence (n = 17) and age-matched controls (n = 18) were compared on a measure of oscillations in the low-frequency blood oxygen level-dependent signal at rest (the fractional amplitude of low-frequency fluctuations fALFF, 0.01-0.1 Hz) and interhemispheric resting-state functional connectivity (RSFC) using voxel-mirrored homotopic connectivity. RESULTS: The cannabis-dependent population showed increased fALFF activity compared to the control group in right hemisphere regions including the superior parietal gyrus, superior frontal gyrus, inferior frontal gyrus, inferior semilunar lobe of the cerebellum and the inferior temporal gyrus. Post-hoc analyses revealed stronger intra-hemispheric functional connectivity between these functionally defined regions of interest (ROIs) in the cannabis-dependent population than in the controls. Reduced interhemispheric connectivity was observed in the cannabis users compared to controls in the pyramis of the cerebellum and the superior frontal gyrus. Controls showed reduced interhemispheric connectivity compared to users in the supramarginal gyrus. CONCLUSIONS: The reduced interhemispheric RSFC in adolescent cannabis users complements previous reports of white matter deficits associated with cannabis use. The evidence of elevated connectivity within the right hemisphere may reflect a compensatory mechanism. Combined, the results suggest that altered intrinsic connectivity may be characteristic of adolescent cannabis dependence.

Gender disparities in authorship of invited submissions in high-impact psychology journals.

Women comprise the majority of graduates from psychology doctoral programs, but equity is yet to be achieved in the professoriate. Publication drives career advancement, underscoring the need to investigate publication-based metrics of eminence. To our knowledge, authorship of invited submissions-a proxy of research esteem-has not been the focus of any psychology studies. In this cross-sectional study, authorship of invited submission(s) in five elite psychology journals (2015-2019) was investigated: Psychological Science in the Public Interest, Annual Review of Psychology, Trends in Cognitive Sciences, Annual Review of Clinical Psychology, and Annual Review of Organizational Psychology and Organizational Behavior. We hypothesized that women would be underrepresented. Author gender was classified using publicly available details (e.g., pronouns on professional websites). Primary outcomes were the proportion of women solo-, first-, or likely invited authors, relative to the proportion of women full and associate professors in psychology at R1 institutions (42.3%). Of 1,828 authorship positions (713 articles), 35.6% were occupied by women. Relative to the nominated base rate, women were disproportionately underrepresented. When the likely invited author on a multi-author publication was a woman, the first author was a woman on 51.0% of papers; when the likely invited author was a man, the first author was a woman on 34.1% of papers. These findings align with prior studies and extend the research by demonstrating that the gender publication gap in psychology is exacerbated in invited submissions and driven by particular subfields. Continued efforts are needed to redress gender disparities in authorship of invited submissions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Probabilistic approaches do not invalidate descriptive studies but answer fundamentally different questions: Reply to Loh and Ren (2023).

Loh and Ren (2023) critiqued our study on authorship trends in high-impact psychology journals that publish invited submissions for the use of outcome-dependent sampling. Although they offer a useful perspective, their methodological suggestions would answer a fundamentally different research question from the one we proposed. We thank Loh and Ren (2023) for their constructive contributions to this dialogue. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Near, yet so far: the effect of pictorial cues on spatial attention.

Distinct cognitive and neural mechanisms underlie perception and action in near (within-reach) and far (outside-reach) space. Objects in far space can be brought into the brain's near-space through tool-use. We determined whether a near object can be pushed into far space by changing the pictorial context in which it occurs. Participants (n = 372) made relative length judgements for lines presented in near space, but superimposed over photographs of near and far objects. The left segment of the line was overestimated in the baseline and near-context conditions whereas the right was overestimated in the far-context. The change from leftward to rightward overestimation is the same when lines are physically shifted from near to far space. Because participants did not have to do anything in relation to the photograph, the results suggest that simply viewing images with a near/far context can cause a shift of attention along the distal/proximal axis, which may reflect differential activation of the ventral/dorsal visual streams.