A Multigroup Analysis of the Psychological Factors that Contribute to Persisting Working Attention Problems in Mild Traumatic Brain Injury and Chronic Pain

A significant subset of mild traumatic brain injury (mild TBI) and chronic pain (CP) patients report, and sometimes show objective evidence of, persisting cognitive problems. Despite differences in injury mechanisms, there is considerable overlap in the types of persisting cognitive symptoms that are reported by the two populations. Psychogenic, rather than physiogenic, factors are thought to play an important role in the maintenance of these persisting symptoms. The current investigation examined the contributions somatization, depression, and anxiety had on an objective measure of “working attention.” In order to best elucidate the influences these psychological factors had on attentional performance, only individuals who passed well-validated and popular indicators of cognitive and self-report validity were included in the study. Two hundred and forty-nine individuals (n = 116 TBI; n = 133 CP) met the inclusionary criteria for the study. Psychological factors were assessed using Scales 1 (Hypochondriasis), 2 (Depression), 3 (Hysteria), and 7 (Psychasthenia) of the Minnesota Multiphasic Personality Inventory-II. “Working attention” was measured using the demographically-adjusted T-scores for the Working Memory and Processing Speed Indexes of the Wechsler Adult Intelligence Scale- 3. Results indicated that a high rate of psychological complications was observed in the mild TBI and CP groups but not the moderate-severe traumatic brain injury (M/S TBI) comparison group. Analysis indicated that psychological elevations were not significantly related to spontaneously-reported symptoms or working attention deficits for the mild TBI group but were for the CP and M/S TBI groups. The current results are important for understanding the psychological complications that may occur in individuals exhibiting persisting cognitive problems in these clinical populations

Effect of a quality of life coaching intervention on psychological courage and self-determination

This study utilised a multiple case study design, grounded in self-determination theory, which examined changes in motivation and psychological courage throughout an 8-week quality of life coaching intervention. Eight nonclinical adults participated in six one-hour tele-coaching sessions. Sources of data included a pre-assessment survey, a pre-post questionnaire, field notes, and post-session interview transcriptions. The coaching process included six telephone sessions, use of the profile reports, and HeartMath resources. The qualitative cross-case analysis describes how integrative life coaching supported participants‟ expression of psychological courage and facilitated shifts toward autonomous motivation

Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy

The objective differentiation of facets of cellular metabolism is important for several clinical applications, including accurate definition of tumour boundaries and targeted wound debridement. To this end, spectral biomarkers to differentiate live and necrotic/apoptotic cells have been defined using in vitro methods. The delineation of different cellular states using spectroscopic methods is difficult due to the complex nature of these biological processes. Sophisticated, objective classification methods will therefore be important for such differentiation. In this study, spectral data from healthy/traumatised cell samples using hyperspectral imaging between 2500-3500 nm were collected using a portable prototype device. Machine learning algorithms, in the form of clustering, have been performed on a variety of pre-processing data types including 'raw' unprocessed, smoothed resampling, background subtracted and spectral derivative. The resulting clusters were utilised as a diagnostic tool for the assessment of cellular health and quantified using both sensitivity and specificity to compare the different analysis methods. The raw data exhibited differences for one of the three different trauma types applied, although unable to accurately cluster all the traumatised samples due to signal contamination from the chemical insult. The background subtracted and smoothed data sets reduced the accuracy further, due to the apparent removal of key spectral features which exhibit cellular health. However, the spectral derivative data-types significantly improved the accuracy of clustering compared to other data types, with both sensitivity and specificity for the background subtracted data set being >94% highlighting its utility to account for unknown signal contamination while maintaining important cellular spectral features

Case of placental insufficiency and premature delivery in a Fontan pregnancy:physiological insights and considerations on risk stratification

Objectives The coexistence of two complex physiologies such as Fontan and pregnancy is still not fully understood. We aim to add a unique and essential knowledge to help our colleagues in the management of Fontan patients that undergo pregnancy as well as the fetus and the placenta perfusion.Methods and results We analyse the coexistence of Fontan and pregnancy physiology on a complex case of a woman with hypoplastic left heart syndrome palliated with a univentricular repair who became pregnant, delivered very prematurely and had atypical placental findings.Conclusion Histopathological analysis of the placenta could help us to refine the understanding of Fontan physiology adaptation during pregnancy, predict women and fetal outcomes as well as to plan a better pre-pregnancy status. However, further evidence is needed in order to reach a more solid and unified conclusion

A Comparison of 1978 and 2006 Peak Pollen Seasons and Sampling Methods in Missoula, Montana

A study was conducted in Missoula, Montana to compare local pollen counts from 1978 with those measured nearly 30 years later in 2006 using two different measurement techniques (Durham gravimetric sampler and a Burkard volumetric sampler). Trends in peak pollen times measured during the spring, summer and autumn, respectively, were compared between the two years by Pearson’s correlation and frequency of occurrence of plant genus. Meteorological conditions were also examined during each of the two study periods. In comparing the two years, there was a statistically significant linear association between the different counts for the months of April through August, with similar levels of pollen types for any given month. The five predominant pollen types (based on counts) identified in each study were Pinus, Poaceae, Populus, Alnus, and Betula for 2006 and Pinus, Poaceae, Populus, Acer and Artemisia for 1978. In summary most of the genera displayed similar peak pollination timing between the two years, suggesting that results from the Durham (gravimetric) and Burkard (volumetric) sampling methods are comparable when reporting relative frequency of occurrence

Standoff detection of bacterial spores by field deployable coherent Raman spectroscopy

: Vibrational spectroscopies offer great potential for standoff detection of chemical and biological warfare agents, avoiding contamination to the operator and equipment. Among them, particularly promising is Coherent anti-Stokes Raman scattering (CARS) spectroscopy, using synchronized pump/Stokes laser pulses to set up a vibrational coherence of target molecules at a laser focus, which is read by further interaction with a probe pulse, resulting in the emission of a coherent beam detectable at a distance. CARS has previously demonstrated the capability to detect bacterial spores based on the Raman spectrum of the characteristic molecule calcium dipicolinate (CaDPA); however, a complex and bulky laser technology, which is only suitable for a laboratory environment, was employed. Here we develop a broadband CARS setup based on a compact, industrial grade ytterbium laser system. We demonstrate high signal-to-noise ratio detection of Bacillus atrophaeus spores at a concentration of 105 cfu/mm2, at a standoff distance of 1 m, and an acquisition time of 1 s. Our system, which combines chemical specificity and sensitivity along with improved ruggedness and portability, paves the way to a new generation of instruments for real-world standoff detection of chemical and biological threats

Carbon­yl[tris­(3,5-diphenyl­pyrazol-1-yl-κN 2)methane]copper(I) hexa­fluorido­phosphate–dichloro­methane–diethyl ether (4/3/1)

In the title compound, [Cu(C46H34N6)(CO)]PF6·0.75CH2Cl2·0.25C4H10O, the CuI atom is coordinated by three N atoms from the tridentate chelating tris­(3,5-diphenyl­pyrazol-1-yl)methane ligand (average Cu—N distance = 2.055 Å) and the C atom from a carbon monoxide ligand in a distorted tetra­hedral coordination geometry. The average N—Cu—N angle between adjacent pyrazole-ring-coordinated N atoms is 88.6°, while the average N—Cu—C angle between the pyrazole-bound N atom and the C atom of carbon monoxide is 126.3°. One of the 3-phenyl rings of the tris­(pyrazol­yl)methane ligand is disordered over two sites each with an occupancy factor of 0.50. The structure also exhibits disorder of the monosolvate that has been modeled with 0.75 CH2Cl2 and 0.25 Et2O occupancy

Protective effects of β-Funaltrexamine against LPS-induced CCL2 expression and behavioral deficits

Background: Inflammation is present in both neurological and peripheral disorders. Specifically, inflammation is one of the common factors in diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), mood disorders which include anxiety and depression, and even inflammatory bowel disease (IBD). Thus, exploring potential treatments geared toward the assessment of inflammation is crucial to the continuation of treatment development. One pharmacological agent researched for its antiinflammatory effects is β-funaltrexamine (β-FNA), a selective mu-opioid receptor antagonist. Preclinical studies using in vitro human astroglial cells showed that β-FNA inhibited inflammatory signaling, NF-κB signaling, and chemokine expression in a mechanism unrelated to MOR. Also, β-funaltrexamines neuroprotective effects were discovered in a preclinical model of lipopolysaccharide (LPS)-induced neuroinflammation and sickness-like behavior when administered before LPS.Methods: This study determines the effects of β-FNA (50 mg/kg, i.p.) on LPS-induced (0.83 mg/kg, i.p.) sickness-like behavior using a 10 min open field test, and anxiety-like behavior, using a 5 min elevated plus maze in male and female C57BL/6J. It also assesses the effects on LPS-induced neuro and peripheral inflammation when β-FNA is administered immediately or 10 h post-LPS. Tissue collected included whole brain, hippocampus, prefrontal cortex, cerebellum/brain stem, spleen, liver, small intestine, large intestine, and plasma.Results and Conclusions: Levels of inflammatory chemokine Monocyte Chemoattractant Protein-1 (MCP1, also known as CCL2) was measured using an enzyme-linked immunosorbent assay (ELISA). Two-way analysis of variance revealed that at 24 hours, LPS increased chemokines, and β-FNA treatment was protective depending on the dosing schedule and had region-specific effects. Also, to our knowledge, this is the first time β-FNAs effect on female mice has been assessed. Differential effects of β-FNA were found between the whole brain vs. brain regions, central vs. peripheral, and sexes. This study provides insight into the inflammatory protection offered by β-FNA in both the central and peripheral systems and further knowledge of the potential therapeutic options for inflammatory disorders