Direct and indirect effects of attention and visual function on gait impairment in Parkinson’s disease: influence of task and turning

Gait impairment is a core feature of Parkinson’s disease (PD) which has been linked to cognitive and visual deficits, but interactions between these features are poorly understood. Monitoring saccades allows investigation of real-time cognitive and visual processes and their impact on gait when walking. This study explored; 1) saccade frequency when walking under different attentional manipulations of turning and dual-task; and 2) direct and indirect relationships between saccades, gait impairment, vision and attention. Saccade frequency (number of fast eye-movements per-second) was measured during gait in 60 PD and 40 age-matched control participants using a mobile eye-tracker. Saccade frequency was significantly reduced in PD compared to controls during all conditions. However, saccade frequency increased with a turn and decreased under dual-task for both groups. Poorer attention directly related to saccade frequency, visual function and gait impairment in PD, but not controls. Saccade frequency did not directly relate to gait in PD, but did in controls. Instead, saccade frequency and visual function deficit indirectly impacted gait impairment in PD, which was underpinned by their relationship with attention. In conclusion, our results suggest a vital role for attention with direct and indirect influences on gait impairment in PD. Attention directly impacted saccade frequency, visual function and gait impairment in PD, with connotations for falls. It also underpinned indirect impact of visual and saccadic impairment on gait. Attention therefore represents a key therapeutic target that should be considered in future research

Human Centric Facial Expression Recognition

Facial expression recognition (FER) is an area of active research, both in computer science and in behavioural science. Across these domains there is evidence to suggest that humans and machines find it easier to recognise certain emotions, for example happiness, in comparison to others. Recent behavioural studies have explored human perceptions of emotion further, by evaluating the relative contribution of features in the face when evaluating human sensitivity to emotion. It has been identified that certain facial regions have more salient features for certain expressions of emotion, especially when emotions are subtle in nature. For example, it is easier to detect fearful expressions when the eyes are expressive. Using this observation as a starting point for analysis, we similarly examine the effectiveness with which knowledge of facial feature saliency may be integrated into current approaches to automated FER. Specifically, we compare and evaluate the accuracy of ‘full-face’ versus upper and lower facial area convolutional neural network (CNN) modelling for emotion recognition in static images, and propose a human centric CNN hierarchy which uses regional image inputs to leverage current understanding of how humans recognise emotions across the face. Evaluations using the CK+ dataset demonstrate that our hierarchy can enhance classification accuracy in comparison to individual CNN architectures, achieving overall true positive classification in 93.3% of cases

Long-lasting effects of family-related factors on adults' ability to recognise brief facial expressions of emotion

This study investigated whether adults’ ability to attribute emotions to brief facial expressions (microexpressions) is associated with family-related environmental factors (FrFs) such as one’s number of siblings (Experiment 1), attachment style (Experiment 2), or perceived parental authority style (Experiment 3). Participants’ accuracy and reaction time (RT) to the recognition of anger, contempt, disgust, fear, happiness, and sadness to facial microexpressions (exposure: 100 ms) were measured with a six-alternative forced choice computerised method (6AFC). The attachment style and the authority style of the participants’ parents were accessed using questionnaires. The findings revealed that up to 13% of the variance in participants’ responses could be explained by FrFs, with modest to moderate effect sizes. Microexpressions linked to signs of hostility or threat (i.e., contempt and fear) were decoded faster and/or more accurately by adults with few or no siblings or with a fearful attachment. Conversely, participants who recalled their fathers as authoritarian were worse at recognising contempt and fear than participants who perceived them as permissive or authoritative. The findings suggest that early FrFs may still be involved in the fine-tuning of responses to signs of contextual danger when the time for cognitive processing of facial expressions is severely restricted

Coherent elastic neutrino-nucleus scattering: Terrestrial and astrophysical applications

Coherent elastic neutrino-nucleus scattering (CE$\nu$NS) is a process in which neutrinos scatter on a nucleus which acts as a single particle. Though the total cross section is large by neutrino standards, CE$\nu$NS has long proven difficult to detect, since the deposited energy into the nucleus is $\sim$ keV. In 2017, the COHERENT collaboration announced the detection of CE$\nu$NS using a stopped-pion source with CsI detectors, followed up the detection of CE$\nu$NS using an Ar target. The detection of CE$\nu$NS has spawned a flurry of activities in high-energy physics, inspiring new constraints on beyond the Standard Model (BSM) physics, and new experimental methods. The CE$\nu$NS process has important implications for not only high-energy physics, but also astrophysics, nuclear physics, and beyond. This whitepaper discusses the scientific importance of CE$\nu$NS, highlighting how present experiments such as COHERENT are informing theory, and also how future experiments will provide a wealth of information across the aforementioned fields of physics

Coherent elastic neutrino-nucleus scattering: Terrestrial and astrophysical applications

Coherent elastic neutrino-nucleus scattering (CE$\nu$NS) is a process inwhich neutrinos scatter on a nucleus which acts as a single particle. Thoughthe total cross section is large by neutrino standards, CE$\nu$NS has longproven difficult to detect, since the deposited energy into the nucleus is$\sim$ keV. In 2017, the COHERENT collaboration announced the detection ofCE$\nu$NS using a stopped-pion source with CsI detectors, followed up thedetection of CE$\nu$NS using an Ar target. The detection of CE$\nu$NS hasspawned a flurry of activities in high-energy physics, inspiring newconstraints on beyond the Standard Model (BSM) physics, and new experimentalmethods. The CE$\nu$NS process has important implications for not onlyhigh-energy physics, but also astrophysics, nuclear physics, and beyond. Thiswhitepaper discusses the scientific importance of CE$\nu$NS, highlighting howpresent experiments such as COHERENT are informing theory, and also how futureexperiments will provide a wealth of information across the aforementionedfields of physics.<br

Alcohol and substances acute intoxication in a population of suicide attempters

Introduction The effects of psychotropic drugs and alcohol acute intoxication are important risk factors for attempted suicide among individuals with and without substance use disorder (SUD). Aims The first aim of this study is describing the socio-demographic features and clinical history of subjects who were acutely intoxicated when attempting suicide. The second aim is to compare their features with those of subjects without acute alcohol and substances intoxication at suicide attempt time. Methods Determinants of ER psychiatric consultations were studied prospectively during the period 2008\u20132014 at the \u201cMaggiore della Carit\ue0\u201d Hospital in Novara, Italy. For each patient, a data sheet was filled in by experienced psychiatrists, in order to gather demographic features, psychiatric history and present clinical issues like blood and urine dosage of amphetamine and methamphetamine, cannabinoid, cocaine and alcohol. Comparison of qualitative data was performed by means of the Chi2 test. Statistical significance was set at P 64 0.05. Results We collected a sample of 495 suicide attempters who referred to our ER. Statistical analysis of demographic and clinical data is still ongoing. Conclusions Preliminary results point out that acute alcohol and drugs intoxication at suicide attempt time is much more frequent in subjects without a SUD. Implications will be discussed