Experimental effects of mindfulness inductions on self-regulation: Systematic review and meta-analysis.

Self-regulation is the control of aspects of the self to allow pursuit of long-term goals, and it is proposed as a central pathway through which mindfulness may exert benefits on well-being. However, the effects of a single mindfulness induction on self-regulation are not clear, as there has been no comprehensive review of this evidence. The current review synthesized existing findings relating to the effect of a mindfulness induction delivered in a laboratory setting on measures of self-regulation. Twenty-seven studies were included and grouped according to 3 outcomes: regulation of experimentally induced negative affect (k = 15; meta-analysis), emotion-regulation strategies (k = 7) and executive functions (k = 9; narrative synthesis). A mindfulness induction was superior to comparison groups in enhancing the regulation of negative affect (d = -.28). Executive-function performance was enhanced only when the experimental design included an affect induction or when the outcome was sustained attention. The effect on emotion-regulation strategies was inconclusive, but with emerging evidence for an effect on rumination. Overall, the findings indicate that, in the form of an induction, mindfulness may have the most immediate effect on attention mechanisms rather than exerting cognitive changes in other domains, as are often reported outcomes of longer mindfulness training. Through effecting change in attention, emotion regulation of negative affect can be enhanced, and subsequently, executive-function performance more quickly restored. The interpretations of the findings are caveated with consideration of the low quality of many of the included study designs determined by the quality appraisal tool

An estuarine tide-scape of production: terrestrial laser scanning (TLS) of fixed fishing structures and a tidal mill in the Léguer Estuary, Brittany, France

Terrestrial laser scanning (TLS) provides a means of rapid and highly accurate survey of archaeological excavations and structures at landscape scales, and is particularly valuable for documenting tidal environments. Here, the authors use TLS to record tidal fixed fishing structures and a tide mill within the Léguer Estuary at Le Yaudet, in north-west France. As part of a comprehensive resource-exploitation system, the early medieval (sixth to eighth centuries AD) structures lie within, and exploit different parts of, the tidal frame. The results are used to quantify production within an estuarine landscape associated with seignorial or monastic control of environmental resources

Data Processing of Lunar Infrared Measurements at High Spatial and Radiometric Resolution to Obtain Brightness Temperatures Scientific Report No. 9

Data processing of lunar infrared measurements at high spatial and radiometric resolution to obtain brightness temperature

Differences in network controllability and regional gene expression underlie visual hallucinations in Parkinson’s disease

Visual hallucinations are common in Parkinson’s disease and are associated with poorer prognosis. Imaging studies show white matter loss and functional connectivity changes with Parkinson’s visual hallucinations, but the biological factors underlying selective vulnerability of affected parts of the brain network are unknown. Recent models for Parkinson’s disease hallucinations suggest they arise due to a shift in the relative effects of different networks. Understanding how structural connectivity affects the interplay between networks will provide important mechanistic insights. To address this, we investigated the structural connectivity changes that accompany visual hallucinations in Parkinson’s disease and the organizational and gene expression characteristics of the preferentially affected areas of the network. We performed diffusion-weighted imaging in 100 patients with Parkinson’s disease (81 without hallucinations, 19 with visual hallucinations) and 34 healthy age-matched controls. We used network-based statistics to identify changes in structural connectivity in Parkinson’s disease patients with hallucinations and performed an analysis of controllability, an emerging technique that allows quantification of the influence a brain region has across the rest of the network. Using these techniques, we identified a subnetwork of reduced connectivity in Parkinson’s disease hallucinations. We then used the Allen Institute for Brain Sciences human transcriptome atlas to identify regional gene expression patterns associated with affected areas of the network. Within this network, Parkinson’s disease patients with hallucinations showed reduced controllability (less influence over other brain regions), than Parkinson’s disease patients without hallucinations and controls. This subnetwork appears to be critical for overall brain integration, as even in controls, nodes with high controllability were more likely to be within the subnetwork. Gene expression analysis of gene modules related to the affected subnetwork revealed that down-weighted genes were most significantly enriched in genes related to mRNA and chromosome metabolic processes (with enrichment in oligodendrocytes) and upweighted genes to protein localization (with enrichment in neuronal cells). Our findings provide insights into how hallucinations are generated, with breakdown of a key structural subnetwork that exerts control across distributed brain regions. Expression of genes related to mRNA metabolism and membrane localization may be implicated, providing potential therapeutic targets