Physiological, behavioral and subjective sadness reactivity in frontotemporal dementia subtypes.

Frontotemporal dementia (FTD), a neurodegenerative disease broadly characterized by socioemotional impairments, includes three clinical subtypes: behavioral variant FTD (bvFTD), semantic variant primary progressive aphasia (svPPA) and non-fluent variant primary progressive aphasia (nfvPPA). Emerging evidence has shown emotional reactivity impairments in bvFTD and svPPA, whereas emotional reactivity in nfvPPA is far less studied. In 105 patients with FTD (49 bvFTD, 31 svPPA and 25 nfvPPA) and 27 healthy controls, we examined three aspects of emotional reactivity (physiology, facial behavior and subjective experience) in response to a sad film. In a subset of the sample, we also examined the neural correlates of diminished aspects of reactivity using voxel-based morphometry. Results indicated that all three subtypes of FTD showed diminished physiological responding in respiration rate and diastolic blood pressure; patients with bvFTD and svPPA also showed diminished subjective experience, and no subtypes showed diminished facial behavior. Moreover, there were differences among the clinical subtypes in brain regions where smaller volumes were associated with diminished sadness reactivity. These results show that emotion impairments extend to sadness reactivity in FTD and underscore the importance of considering different aspects of sadness reactivity in multiple clinical subtypes for characterizing emotional deficits and associated neurodegeneration in FTD

Emotion Recognition and Reactivity in Persons With Neurodegenerative Disease Are Differentially Associated With Caregiver Health.

Background and objectivesMotivated by the high rates of health problems found among caregivers of persons with neurodegenerative disease, we examined associations between deficits in two aspects of care recipients' socioemotional functioning and their caregivers' health.Research design and methodsIn 2 studies with independent samples (N = 171 and 73 dyads), caregivers reported on care recipients' emotion recognition and emotional reactivity. Caregiver health was assessed using both self-report measures (Studies 1 and 2) and autonomic nervous system indices (Study 2).ResultsLower emotion recognition in care recipients was linearly associated with worse self-reported health, faster resting heart rate, and greater physiological reactivity to an acoustic startle stimulus in caregivers. These effects held after accounting for a variety of risk factors for poor caregiver health, including care recipients' neuropsychiatric symptoms. Emotional reactivity showed a quadratic association with health, such that the lowest and highest levels of emotional reactivity in care recipients were associated with lower self-reported health in caregivers.Discussion and implicationsResults shed light on the unique associations between two aspects of care recipients' emotional functioning and caregivers' health. Findings suggest potential ways to identify and help caregivers at heightened risk for adverse health outcomes

Combining Green Metrics and Digital Twins for Sustainability Planning and Governance of Smart Buildings and Cities

Creating a more sustainable world will require a coordinated effort to address the rise of social, economic, and environmental concerns resulting from the continuous growth of cities. Supporting planners with tools to address them is pivotal, and sustainability is one of the main objectives. Modeling and simulation augmenting digital twins can play an important role to implement these tools. Although various green best practices have been utilized over time and there are related attempts at measuring green success, works in the published literature tend to focus on addressing a single problem (e.g., energy efficiency), and a comprehensive approach that takes the multiple facets of sustainable urban planning into consideration has not yet been identified. This paper begins with a review of recent research efforts in green metrics and digital twins. This leads to developing an approach that evaluates organizational green best practices to derive metrics, which are used for computational decision support by digital twins. Furthermore, it leverages these research results and proposes a metric-driven framework for sustainability planning that understands a city as a sociotechnical complex system. Such a framework allows the practitioner to take advantage of recent developments and provides computational decision support for the complex challenge of sustainability planning at the various levels of urban planning and governance

An idiographic statistical approach to clinical hypothesis testing for routine psychotherapy: A case study.

In order to develop more targeted, efficient, and effective psychotherapeutic interventions, calls have been made in the literature for greater use of idiographic hypothesis testing. Idiographic analyses can provide useful information regarding mechanisms of change within individuals over time during treatment. However, it remains unclear how clinicians might utilize idiographic statistical analyses during routine treatment to test clinical hypotheses, and in turn, guide treatment. We present an idiographic statistical framework for clinical hypothesis testing with routine treatment data that enables clinicians to examine a) whether the client's symptoms and hypothesized mechanisms change over time, b) whether trajectories of change reflect the timing of interventions, c) whether mechanisms predict subsequent symptoms, and d) whether relationships exist between multiple mechanisms, symptoms, or other treatment-related constructs over time. We demonstrate the utility of the approach for clinical hypothesis testing by applying it to routine treatment data collected from a 56 year-old male who presented with a combination of anger problems, anxiety, and depressive symptoms. We discuss how results from analyses can inform the case-formulation and guide clinical decision-making. We aim to make these methods more accessible by providing an online platform where clinicians can enter client data, test their clinical hypotheses using idiographic analyses, and utilize the results to disseminate their findings

Neurodegenerative Disease Caregivers' 5-HTTLPR Genotype Moderates the Effect of Patients' Empathic Accuracy Deficits on Caregivers' Well-Being.

ObjectiveTo test the hypothesis that a functional polymorphism of the serotonin transporter gene (serotonin-transporter-linked polymorphic region [5-HTTLPR]), which is thought to be associated with differential environmental sensitivity, moderates the association between low levels of empathic accuracy (i.e., ability to recognize emotions in others) in patients with neurodegenerative disease and caregivers' well-being.MethodsParticipants were 54 patients with neurodegenerative disease and their caregivers. Patients' empathic accuracy was measured using a dynamic tracking task in which they continuously rated the emotions of a character in a film; accuracy was determined by comparing patient ratings with those made by an expert panel. Caregivers provided a saliva sample for genotyping. Caregivers' well-being was measured as a latent construct indicated by validated measures of depression, anxiety, and negative affect.ResultsLower levels of patients' empathic accuracy were associated with lower levels of caregivers' well-being. Importantly, caregivers' 5-HTTLPR genotype moderated this association such that lower empathic accuracy in patients predicted lower well-being for caregivers with the short/short genotype (standardized β = 0.66), but not for caregivers with the short/long (standardized β = 0.05) or long/long genotypes (standardized β = -0.21).ConclusionConsistent with previous findings that the short/short variant of 5-HTTLPR is associated with greater sensitivity to environmental influences, caregivers with the short/short variant manifest lower well-being when caring for a patient with low levels of empathic accuracy than caregivers with the other variants. This finding contributes to the authors' understanding of biological factors associated with individual differences in caregiver vulnerability and resilience

Behavioral indices of positivity resonance associated with long-term marital satisfaction.

Positivity resonance-defined as a synthesis of shared positive affect, mutual care and concern, plus behavioral and biological synchrony-is theorized to contribute to a host of positive outcomes, including relationship satisfaction. The current study examined whether, in long-term married couples, behavioral indices of positivity resonance (rated using a new behavioral coding system) are associated with concurrent shared positive affect using a well-established dyadic-level behavioral coding system (i.e., Specific Affect Coding System: SPAFF), and whether positivity resonance predicts concurrent marital satisfaction independently from other affective indices. Long-term married couples completed a self-report inventory assessing marital satisfaction and were then brought into the laboratory to participate in a conversation about an area of marital disagreement while being videotaped for subsequent behavioral coding. Interrater reliability for positivity resonance behavioral coding was high (intraclass correlation coefficient: 0.8). Results indicated that positivity resonance is associated with frequency of shared positive affect using SPAFF. No associations were found between positivity resonance and frequencies of SPAFF-coded individual-level positive affect or shared negative affect. Additionally, positivity resonance predicted marital satisfaction independently from frequencies of SPAFF-coded shared positive affect and individual-level positive affect alone. The effect of positivity resonance on marital satisfaction also remained significant after controlling for overall affective tone of conflict conversation. These findings provide preliminary construct and predictive validity for positivity resonance behavioral coding, and highlight the possible role positivity resonance may play in building relationship satisfaction in married couples. (PsycInfo Database Record (c) 2020 APA, all rights reserved)

Comparing two facets of emotion perception across multiple neurodegenerative diseases.

Deficits in emotion perception (the ability to infer others' emotions accurately) can occur as a result of neurodegeneration. It remains unclear how different neurodegenerative diseases affect different forms of emotion perception. The present study compares performance on a dynamic tracking task of emotion perception (where participants track the changing valence of a film character's emotions) with performance on an emotion category labeling task (where participants label specific emotions portrayed by film characters) across seven diagnostic groups (N = 178) including Alzheimer's disease (AD), behavioral variant frontotemporal dementia (bvFTD), semantic variant primary progressive aphasia (svPPA), non-fluent variant primary progressive aphasia (nfvPPA), progressive supranuclear palsy (PSP), corticobasal syndrome and healthy controls. Consistent with hypotheses, compared to controls, the bvFTD group was impaired on both tasks. The svPPA group was impaired on the emotion labeling task, whereas the nfvPPA, PSP and AD groups were impaired on the dynamic tracking task. Smaller volumes in bilateral frontal and left insular regions were associated with worse labeling, whereas smaller volumes in bilateral medial frontal, temporal and right insular regions were associated with worse tracking. Findings suggest labeling and tracking facets of emotion perception are differentially affected across neurodegenerative diseases due to their unique neuroanatomical correlates

Tensor Regression with Applications in Neuroimaging Data Analysis

Classical regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. Modern applications in medical imaging generate covariates of more complex form such as multidimensional arrays (tensors). Traditional statistical and computational methods are proving insufficient for analysis of these high-throughput data due to their ultrahigh dimensionality as well as complex structure. In this article, we propose a new family of tensor regression models that efficiently exploit the special structure of tensor covariates. Under this framework, ultrahigh dimensionality is reduced to a manageable level, resulting in efficient estimation and prediction. A fast and highly scalable estimation algorithm is proposed for maximum likelihood estimation and its associated asymptotic properties are studied. Effectiveness of the new methods is demonstrated on both synthetic and real MRI imaging data.Comment: 27 pages, 4 figure

Nociception-induced spatial and temporal plasticity of synaptic connection and function in the hippocampal formation of rats: a multi-electrode array recording

<p>Abstract</p> <p>Background</p> <p>Pain is known to be processed by a complex neural network (neuromatrix) in the brain. It is hypothesized that under pathological state, persistent or chronic pain can affect various higher brain functions through ascending pathways, leading to co-morbidities or mental disability of pain. However, so far the influences of pathological pain on the higher brain functions are less clear and this may hinder the advances in pain therapy. In the current study, we studied spatiotemporal plasticity of synaptic connection and function in the hippocampal formation (HF) in response to persistent nociception.</p> <p>Results</p> <p>On the hippocampal slices of rats which had suffered from persistent nociception for 2 h by receiving subcutaneous bee venom (BV) or formalin injection into one hand paw, multisite recordings were performed by an 8 × 8 multi-electrode array probe. The waveform of the field excitatory postsynaptic potential (fEPSP), induced by perforant path electrical stimulation and pharmacologically identified as being activity-dependent and mediated by ionotropic glutamate receptors, was consistently positive-going in the dentate gyrus (DG), while that in the CA1 was negative-going in shape in naïve and saline control groups. For the spatial characteristics of synaptic plasticity, BV- or formalin-induced persistent pain significantly increased the number of detectable fEPSP in both DG and CA1 area, implicating enlargement of the synaptic connection size by the injury or acute inflammation. Moreover, the input-output function of synaptic efficacy was shown to be distinctly enhanced by the injury with the stimulus-response curve being moved leftward compared to the control. For the temporal plasticity, long-term potentiation produced by theta burst stimulation (TBS) conditioning was also remarkably enhanced by pain. Moreover, it is strikingly noted that the shape of fEPSP waveform was drastically deformed or split by a TBS conditioning under the condition of persistent nociception, while that in naïve or saline control state was not affected. All these changes in synaptic connection and function, confirmed by the 2-dimentional current source density imaging, were found to be highly correlated with peripheral persistent nociception since pre-blockade of nociceptive impulses could eliminate all of them. Finally, the initial pharmacological investigation showed that AMPA/KA glutamate receptors might play more important roles in mediation of pain-associated spatiotemporal plasticity than NMDA receptors.</p> <p>Conclusion</p> <p>Peripheral persistent nociception produces great impact upon the higher brain structures that lead to not only temporal plasticity, but also spatial plasticity of synaptic connection and function in the HF. The spatial plasticity of synaptic activities is more complex than the temporal plasticity, comprising of enlargement of synaptic connection size at network level, deformed fEPSP at local circuit level and, increased synaptic efficacy at cellular level. In addition, the multi-synaptic model established in the present investigation may open a new avenue for future studies of pain-related brain dysfunctions at the higher level of the neuromatrix.</p

Using ice core measurements from Taylor Glacier, Antarctica, to calibrate in situ cosmogenic 14 C production rates by muons

Cosmic rays entering the Earth’s atmosphere produce showers of secondary particles such as protons, neutrons, and muons. The interaction of these particles with oxygen-16 (16O) in minerals such as ice and quartz can produce carbon-14 (14C). In glacial ice, 14C is also incorporated through trapping of 14C-containing atmospheric gases (14CO2, 14CO, and 14CH4). Understanding the production rates of in situ cosmogenic 14C is important to deconvolve the in situ cosmogenic and atmospheric 14C signals in ice, both of which contain valuable paleoenvironmental information. Unfortunately, the in situ 14C production rates by muons (which are the dominant production mechanism at depths of > 6m solid ice equivalent) are uncertain. In this study, we use measurements of in situ 14C in ancient ice (> 50 ka) from the Taylor Glacier, an ablation site in Antarctica, in combination with a 2D ice flow model to better constrain the compound-specific rates of 14C production by muons and the partitioning of in situ 14C between CO2, CO, and CH4. Our measurements show that 33.7% (11.4%; 95% confidence interval) of the produced cosmogenic 14C forms 14CO and 66.1% (11.5%; 95% confidence interval) of the produced cosmogenic 14C forms 14CO2. 14CH4 represents a very small fraction (< 0.3%) of the total. Assuming that the majority of in situ muogenic 14C in ice forms 14CO2, 14CO, and 14CH4, we also calculated muogenic 14C production rates that are lower by factors of 5.7 (3.6–13.9; 95% confidence interval) and 3.7 (2.0–11.9; 95% confidence interval) for negative muon capture and fast muon interactions, respectively, when compared to values determined in quartz from laboratory studies (Heisinger et al., 2002a, b) and in a natural setting (Lupker et al., 2015). This apparent discrepancy in muogenic 14C production rates in ice and quartz currently lacks a good explanation and requires further investigation