Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes

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.Education and Child Studie

Neighborhood disadvantage and parenting predict longitudinal clustering of uncinate fasciculus microstructural integrity and clinical symptomatology in adolescents

Parenting behaviors and neighborhood environment influence the development of adolescents’ brains and behaviors. Simultaneous trajectories of brain and behavior, however, are understudied, especially in these environmental contexts. In this four-wave study spanning 9–18 years of age (N=224 at baseline, N=138 at final assessment) we used longitudinal k-means clustering to identify clusters of participants with distinct trajectories of uncinate fasciculus (UF) fractional anisotropy (FA) and anxiety symptoms; we examined behavioral outcomes and identified environmental factors that predicted cluster membership. We identified three clusters of participants: 1) high UF FA and low symptoms (“low-risk”); 2) low UF FA and high symptoms (“high-risk”); and 3) low UF FA and low symptoms (“resilient”). Adolescents in disadvantaged neighborhoods were more likely to be in the resilient than high-risk cluster if they also experienced maternal warmth. Thus, neighborhood disadvantage may confer neural risk for psychopathology that can be buffered by maternal warmth, highlighting the importance of considering multiple environmental influences in understanding emotional and neural development in youth

Can memory bias be modified? The effects of an explicit cued-recall training in two independent samples

Item does not contain fulltextCognitive bias modification (CBM) has been found to be effective in modifying information-processing biases and in reducing emotional reactivity to stress. Although modification of attention and interpretation biases has frequently been studied, it is not clear whether memory bias can be manipulated through direct training of emotional recall. In two studies (in undergraduate students and in a community sample), memory bias for emotional verbal stimuli was trained with cued recall of either positive or negative words. We did not find evidence for malleability of memory bias for trained stimuli or induction of emotional reactivity to stress in either study. The training did, however, stimulate training-congruent incorrect recall in the community sample. Although we found no evidence for the direct modification of memory bias, the more global effect obtained with respect to retrieval of emotional information from memory holds promise for CBM-memory studies in clinical samples.9 p

The development of emotion-processing in children: effects of age, emotion, and intensity

BACKGROUND: This study examined the effects of age and two novel factors (intensity and emotion category) on healthy children's developing emotion-processing from 4 to 15 years using two matching paradigms. METHODS: An explicit emotion-matching task was employed in which children matched the emotion of a target individual, and an implicit task whereby participants ignored the emotive facial stimulus and matched identity. Four intensities (25%, 50%, 75%, and 100%) for each of five emotion categories (sad, anger, happy, fear, and disgust) were included and provided a novel avenue of emotion-processing exploration. RESULTS: Increasing age significantly improved children's performance on both tasks, particularly for fear and disgust. Age was not associated with more subtle processing (i.e., lower intensity of expression). When explicitly matching emotion expressions, increasing intensity was associated with improved performance. When matching identities (implicit emotion-matching), emotion category and intensity influenced task performance. Sex effects were minimal. CONCLUSIONS: In children, age, facial expression intensity and emotion category are important for predicting accuracy on emotion-processing tasks. Emotion category and expression intensity differentially affect performance on explicit and implicit emotion-processing tasks