The coaching ripple effect: The effects of developmental coaching on wellbeing across organisational networks

Background It has been argued that the quality of daily interactions within organisations effects the wellbeing of both individuals and the broader organisation. Coaching for leadership development is one intervention often used to create organisation-wide changes in culture and wellbeing. Leadership style has been associated with employee stress and wellbeing. Coaching has also been shown to improve individual level measures of wellbeing. However, almost all the research into the effectiveness of coaching interventions assumes a linear model of change, and expects that any flow-on effects are also linear. In other words, much of the research assumed that any change in the leader has relatively uniform effects on the wellbeing of others, and that these effects can be adequately accessed via standard linear statistical analyses. We argue that linear approaches do not take the complexity of organisations seriously, and that Complex Adaptive Systems theory (CAS) provides a useful non-linear approach to thinking about organisational change and the wellbeing of individuals embedded in these systems. The relatively new methodology of Social Network Analysis (SNA) provides researchers with analytic tools designed to access the relational components of complex systems. This paper reports on changes observed in the relational networks of an organisation following a leadership coaching intervention. Methods An AB design coaching intervention study was conducted across an organisation (N = 225). Wellbeing measures were taken for all employees and a social network analysis was conducted on the degree and quality of all organisational interactions. Twenty leaders (n = 20) received 8 coaching sessions. Individual self report measures of goal attainment as well as 360 feedbacks on transformational leadership were assessed in the control, pre and post intervention periods. Results A significant increase in the goal attainment, transformational leadership and psychological wellbeing measures were observed for those who received coaching. Average change in the perceived quality of interaction improved for those who received coaching. However there was a decline in the perceived quality of the interaction others believed they were having with those who were coached. It was also found that the closer any member of the network was identified as being connected to those who received coaching, the more likely they were to experience positive increases in wellbeing. Conclusions This research highlights the influence of leadership coaching beyond the individual leader, and has important implications for organisational wellbeing initiatives and how we measure the impact of interventions aimed at organisational change. Our findings suggest a more nuanced approach is needed in designing interventions in complex adaptive systems

Increased accuracy of starch granule type quantification using mixture distributions

Background: The proportion of granule types in wheat starch is an important characteristic that can affect its functionality. It is widely accepted that granule types are either large, disc-shaped A-type granules or small, spherical B-type granules. Additionally, there are some reports of the tiny C-type granules. The differences between these granule types are due to its carbohydrate composition and crystallinity which is highly, but not perfectly, correlated with the granule size. A majority of the studies that have considered granule types analyse them based on a size threshold rather than chemical composition. This is understandable due to the expense of separating starch into different types. While the use of a size threshold to classify granule type is a low-cost measure, this results in misclassification. We present an alternative, statistical method to quantify the proportion of granule types by a fit of the mixture distribution, along with an R package, a web based app and a video tutorial for how to use the web app to enable its straightforward application. Results: Our results show that the reliability of the gen otypic effects increase approximately 60% using the proportions of the A-type and B-type granule estimated by the mixture distribution over the standard size-threshold measure. Although there was a marginal drop in reliability for C-type granules. The latter is likely due to the low observed genetic variance for C-type granules. Conclusions: The determination of the proportion of granule types from size-distribution is better achieved by using the mixing probabilities from the fit of the mixture distribution rather than using a size-threshold

Learning How to Ask - Does a one-day training increase trauma inquiry in routine substance use disorder practice? Results of a cluster-randomized controlled trial

Aims To examine the effectiveness of a one-day skills training program for increasing trauma inquiry in routine substance use disorder treatment. Design Cluster-randomized two-armed controlled trial, with 12 substance use disorder (SUD) organizations operating 25 counseling centers, randomly assigned to training in trauma inquiry (13 counseling centers of 8 SUD organizations) or no training (12 counseling centers of 4 SUD organizations). Setting SUD counseling centers in Northern Germany. Cases N = 5204 SUD counseling services. Intervention The professionals assigned to the intervention group received a one-day training in trauma inquiry plus a 1.5-hour refresher session 3 months later. Professionals in the control group received no training. Measures Over a 12-month period, professionals documented for each counseling service whether they asked the client about four traumatic events: physical abuse, emotional abuse, sexual abuse and neglect. Analysis Primary outcomes were rates of asking about physical abuse, sexual abuse, emotional abuse and neglect in the 6 months after training. These were compared across conditions, while adjusting for baseline probabilities in the 6 months before the intervention, using mixed-effects logistic regression. Findings In the 6 months after training, the rate of asking about physical abuse was 18% higher in the SUD counseling services of trained professionals, relative to services of untrained professionals (OR = 1.18, 95% CI = [1.01–1.37, p = .035]). No effect was found for asking about sexual abuse, emotional abuse and neglect. Conclusion A one-day training program in trauma inquiry, combined with a brief refresher session, was effective in increasing inquiries about physical abuse in routine counseling practice. The training was ineffective in increasing inquiries about sexual abuse, emotional abuse and neglect. The effectiveness of a one-day training of trauma inquiry might be increased by a longer training, or by combining it with additional elements, such as ongoing supervision

Student engagement as a function of environmental complexity in high school classrooms

The purpose of this study was to investigate the linkage between the quality of the learning environment and the quality of students' experience in seven high school classrooms in six different subject areas. The quality of the learning environment was conceptualized in terms of environmental complexity, or the simultaneous presence of environmental challenge and environmental support. The students (N = 108) in each class participated in the Experience Sampling Method (ESM) measuring their engagement and related experiential variables. Concurrently, environmental complexity and its subdimensions were observed and rated from video with a new observational instrument, The Optimal Learning Environments - Observational Log and Assessment (OLE-OLA). Using two-level HLM regression models, ratings from the OLE-OLA were utilized to predict student engagement and experiential variables as measured by the ESM. Results showed that environmental complexity predicted student engagement and sense of classroom self-esteem. Implications for research, theory and practice are discussed

Anti-Biofilm Compounds Derived from Marine Sponges

Bacterial biofilms are surface-attached communities of microorganisms that are protected by an extracellular matrix of biomolecules. In the biofilm state, bacteria are significantly more resistant to external assault, including attack by antibiotics. In their native environment, bacterial biofilms underpin costly biofouling that wreaks havoc on shipping, utilities, and offshore industry. Within a host environment, they are insensitive to antiseptics and basic host immune responses. It is estimated that up to 80% of all microbial infections are biofilm-based. Biofilm infections of indwelling medical devices are of particular concern, since once the device is colonized, infection is almost impossible to eliminate. Given the prominence of biofilms in infectious diseases, there is a notable effort towards developing small, synthetically available molecules that will modulate bacterial biofilm development and maintenance. Here, we highlight the development of small molecules that inhibit and/or disperse bacterial biofilms specifically through non-microbicidal mechanisms. Importantly, we discuss several sets of compounds derived from marine sponges that we are developing in our labs to address the persistent biofilm problem. We will discuss: discovery/synthesis of natural products and their analogues—including our marine sponge-derived compounds and initial adjuvant activity and toxicological screening of our novel anti-biofilm compounds

Effects of eight neuropsychiatric copy number variants on human brain structure

Many copy number variants (CNVs) confer risk for the same range of neurodevelopmental symptoms and psychiatric conditions including autism and schizophrenia. Yet, to date neuroimaging studies have typically been carried out one mutation at a time, showing that CNVs have large effects on brain anatomy. Here, we aimed to characterize and quantify the distinct brain morphometry effects and latent dimensions across 8 neuropsychiatric CNVs. We analyzed T1-weighted MRI data from clinically and non-clinically ascertained CNV carriers (deletion/duplication) at the 1q21.1 (n = 39/28), 16p11.2 (n = 87/78), 22q11.2 (n = 75/30), and 15q11.2 (n = 72/76) loci as well as 1296 non-carriers (controls). Case-control contrasts of all examined genomic loci demonstrated effects on brain anatomy, with deletions and duplications showing mirror effects at the global and regional levels. Although CNVs mainly showed distinct brain patterns, principal component analysis (PCA) loaded subsets of CNVs on two latent brain dimensions, which explained 32 and 29% of the variance of the 8 Cohen’s d maps. The cingulate gyrus, insula, supplementary motor cortex, and cerebellum were identified by PCA and multi-view pattern learning as top regions contributing to latent dimension shared across subsets of CNVs. The large proportion of distinct CNV effects on brain morphology may explain the small neuroimaging effect sizes reported in polygenic psychiatric conditions. Nevertheless, latent gene brain morphology dimensions will help subgroup the rapidly expanding landscape of neuropsychiatric variants and dissect the heterogeneity of idiopathic conditions

Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

Introduction: The multiorgan impact of moderate to severe coronavirus infections in the post-acute phase is still poorly understood. We aimed to evaluate the excess burden of multiorgan abnormalities after hospitalisation with COVID-19, evaluate their determinants, and explore associations with patient-related outcome measures. Methods: In a prospective, UK-wide, multicentre MRI follow-up study (C-MORE), adults (aged ≥18 years) discharged from hospital following COVID-19 who were included in Tier 2 of the Post-hospitalisation COVID-19 study (PHOSP-COVID) and contemporary controls with no evidence of previous COVID-19 (SARS-CoV-2 nucleocapsid antibody negative) underwent multiorgan MRI (lungs, heart, brain, liver, and kidneys) with quantitative and qualitative assessment of images and clinical adjudication when relevant. Individuals with end-stage renal failure or contraindications to MRI were excluded. Participants also underwent detailed recording of symptoms, and physiological and biochemical tests. The primary outcome was the excess burden of multiorgan abnormalities (two or more organs) relative to controls, with further adjustments for potential confounders. The C-MORE study is ongoing and is registered with ClinicalTrials.gov, NCT04510025. Findings: Of 2710 participants in Tier 2 of PHOSP-COVID, 531 were recruited across 13 UK-wide C-MORE sites. After exclusions, 259 C-MORE patients (mean age 57 years [SD 12]; 158 [61%] male and 101 [39%] female) who were discharged from hospital with PCR-confirmed or clinically diagnosed COVID-19 between March 1, 2020, and Nov 1, 2021, and 52 non-COVID-19 controls from the community (mean age 49 years [SD 14]; 30 [58%] male and 22 [42%] female) were included in the analysis. Patients were assessed at a median of 5·0 months (IQR 4·2–6·3) after hospital discharge. Compared with non-COVID-19 controls, patients were older, living with more obesity, and had more comorbidities. Multiorgan abnormalities on MRI were more frequent in patients than in controls (157 [61%] of 259 vs 14 [27%] of 52; p<0·0001) and independently associated with COVID-19 status (odds ratio [OR] 2·9 [95% CI 1·5–5·8]; padjusted=0·0023) after adjusting for relevant confounders. Compared with controls, patients were more likely to have MRI evidence of lung abnormalities (p=0·0001; parenchymal abnormalities), brain abnormalities (p<0·0001; more white matter hyperintensities and regional brain volume reduction), and kidney abnormalities (p=0·014; lower medullary T1 and loss of corticomedullary differentiation), whereas cardiac and liver MRI abnormalities were similar between patients and controls. Patients with multiorgan abnormalities were older (difference in mean age 7 years [95% CI 4–10]; mean age of 59·8 years [SD 11·7] with multiorgan abnormalities vs mean age of 52·8 years [11·9] without multiorgan abnormalities; p<0·0001), more likely to have three or more comorbidities (OR 2·47 [1·32–4·82]; padjusted=0·0059), and more likely to have a more severe acute infection (acute CRP >5mg/L, OR 3·55 [1·23–11·88]; padjusted=0·025) than those without multiorgan abnormalities. Presence of lung MRI abnormalities was associated with a two-fold higher risk of chest tightness, and multiorgan MRI abnormalities were associated with severe and very severe persistent physical and mental health impairment (PHOSP-COVID symptom clusters) after hospitalisation. Interpretation: After hospitalisation for COVID-19, people are at risk of multiorgan abnormalities in the medium term. Our findings emphasise the need for proactive multidisciplinary care pathways, with the potential for imaging to guide surveillance frequency and therapeutic stratification

Neural computations for working memory and decision making

It has long been known that neurons can possess spatial receptive fields, but whether they exhibit temporal receptive fields is relatively unexplored. Higher cognition relies upon processing across long timescales, such as: the holding of information in working memory, or the accumulation of evidence to form decisions. The temporal dynamics of individual neurons during these processes, and how they facilitate circuit-level computations, are pressing questions. This thesis will present four studies that try to address these questions using a variety of techniques: behavioural analyses, single neuron electrophysiology, pharmacology, and computational modelling. It will first present a method to index the temporal receptive field of single neurons, which highlights heterogeneity within prefrontal cortical regions. This heterogeneity is functionally significant, as neurons with longer timescales exhibit stronger and more sustained value correlates during choice. This may provide a neural mechanism for maintaining predictions and updating stored values during learning. A second study shows that the concept of temporal receptive fields can be used to reconcile competing accounts of neuronal activity during working memory tasks. A neuron’s temporal receptive field is predictive of both its degree of task involvement, and its working memory coding dynamics. Next, a further behavioural study probed the role of visual attention in evidence accumulation – revealing fixations are drawn towards valuable and novel stimuli. Finally, data from a complex decision-making task is presented, where monkeys had to accumulate evidence across time. The function of N-methyl-D-aspartate (NMDA) receptors during this extended cognitive process was investigated using pharmacological manipulations. The induced behavioural changes were consistent with those predicted by a lowering of the excitation-inhibition (E/I) ratio in a spiking cortical circuit model. Together these results provide important insights into the role of neuronal timescales in high-level cognition, and have implications for cognitive deficits in neuropsychiatric disorders associated with cortical E/I dysfunction

In the blink of an eye: Value and novelty drive saccades

Evidence accumulation is an essential component of value-based decisions. Recent human studies suggest that overt attention correlates with evidence accumulation necessary for optimal decisions. However, the influence of covert attention on decision-making remains relatively unexplored. To investigate this issue, two monkeys were trained to perform a decision-making task where they chose between two stimuli, which were either ‘Overtrained’ or learned that day (‘Novel’). Subjects could freely saccade during choice evaluation and indicated their decision by moving a joystick. Saccades were made within 170 ms of stimulus presentation and were strongly driven by both value and novelty, implying covert stimulus evaluation prior to saccade. This effect was strongest for ‘Overtrained’ choices, but rapidly emerged during learning of ‘Novel’ choices. Though novel stimuli attracted initial saccades, final decisions were guided only by value; implying attentional value comparison processes are at least partially dissociable from value comparison processes that govern final decisions. While subjects made highly optimal decisions, they frequently viewed only one stimulus; final choice was thus best explained by assuming covert evidence accumulation. Our results suggest that the primate brain contains multiple value comparison systems for guiding attention toward highly valuable or novel information while simultaneously optimizing final decision value