914 research outputs found
A Study of Brain Networks Associated with Swallowing Using Graph-Theoretical Approaches
Functional connectivity between brain regions during swallowing tasks is still not well understood. Understanding these complex interactions is of great interest from both a scientific and a clinical perspective. In this study, functional magnetic resonance imaging (fMRI) was utilized to study brain functional networks during voluntary saliva swallowing in twenty-two adult healthy subjects (all females, 23.1±1.52 years of age). To construct these functional connections, we computed mean partial correlation matrices over ninety brain regions for each participant. Two regions were determined to be functionally connected if their correlation was above a certain threshold. These correlation matrices were then analyzed using graph-theoretical approaches. In particular, we considered several network measures for the whole brain and for swallowing-related brain regions. The results have shown that significant pairwise functional connections were, mostly, either local and intra-hemispheric or symmetrically inter-hemispheric. Furthermore, we showed that all human brain functional network, although varying in some degree, had typical small-world properties as compared to regular networks and random networks. These properties allow information transfer within the network at a relatively high efficiency. Swallowing-related brain regions also had higher values for some of the network measures in comparison to when these measures were calculated for the whole brain. The current results warrant further investigation of graph-theoretical approaches as a potential tool for understanding the neural basis of dysphagia. © 2013 Luan et al
A 'Performative' Social Movement: The Emergence of Collective Contentions within Collaborative Governance
The enmeshment of urban movements in networks of collaborative governance has been characterised as a process of co-option in which previously disruptive contentions are absorbed by regimes and reproduced in ways that do not threaten the stability of power relations. Applying a theoretical framework drawn from feminist philosopher Judith Butler this paper directs attention to the development of collective oppositional identities that remain embedded in conventional political processes. In a case study of the English tenants' movement, it investigates the potential of regulatory discourses that draw on market theories of performative voice to offer the collectivising narratives and belief in change that can generate the emotional identification of a social movement. The paper originates the concept of the ‘performative social movement’ to denote the contentious claims that continue to emerge from urban movements that otherwise appear quiescent
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Species distribution modelling for plant communities: stacked single species or multivariate modelling approaches?
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps constructed using
nearest-neighbor imputation.
LOCATION: Western Cascades ecoregion, Oregon and California, USA.
METHODS: We mapped distributions and abundances of 28 tree species over
4,007,110 ha at 30-m resolution using three approaches: SDMs using machine
learning (random forest) to yield: (1) binary (RF_Bin); (2) basal area (abundance;
RF_Abund) predictions; and (3) multi-species basal area predictions
using a nearest-neighbor imputation variant based on random forest (RF_NN).
We evaluated accuracy of binary predictions for all models, compared area
mapped with plot-based areal estimates, assessed species abundance at two spatial
scales and evaluated communities for species richness, problematic compositional
errors and overall community composition.
RESULTS: RF_Bin yielded the strongest binary predictions (median True Skill
Statistics; RF_Bin: 0.57, RF_NN: 0.38, RF_Abund: 0.27). Plot-scale predictions
of abundance were poor for RF_Abund and RF_NN (median Agreement
Coefficient (AC): -1.77 and -2.28), but strong when summarized
over 50-km radius tessellated hexagons (median AC for both: 0.79). RF_Abund’s
strength with abundance and weakness with binary predictions
stems from predicting small values instead of zeros. The number of zero
value predictions from RF_NN was closest to counts of zeros in the plot
data. Correspondingly, RF_NN’s map-based species area estimates closely
matched plot-based area estimates. RF_NN also performed best for community-level accuracy metrics.
CONCLUSIONS: RF_NN was the best technique for building a broad-scale map
of diversity and composition because the modelling framework maintained
inter-species relationships from the input plot data. Re-assembling communities
from single variable maps often yielded unrealistic communities.
Although RF_NN rarely excelled at single species predictions of presence or
abundance, it was often adequate to many (but not all) applications in both
dimensions. We discuss our results in the context of map utility for applications
in the fields of ecology, conservation and natural resource management
planning. We highlight how RF_NN is well-suited for mapping current
but not future vegetation.Keywords: Plant community composition, Vegetation mapping, Species distribution modelling, Random forest, Nearest-neighbor imputation, Western OregonKeywords: Plant community composition, Vegetation mapping, Species distribution modelling, Random forest, Nearest-neighbor imputation, Western Orego
Mechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate model
Several firing patterns experimentally observed in neural populations have
been successfully correlated to animal behavior. Population bursting, hereby
regarded as a period of high firing rate followed by a period of quiescence, is
typically observed in groups of neurons during behavior. Biophysical
membrane-potential models of single cell bursting involve at least three
equations. Extending such models to study the collective behavior of neural
populations involves thousands of equations and can be very expensive
computationally. For this reason, low dimensional population models that
capture biophysical aspects of networks are needed.
\noindent The present paper uses a firing-rate model to study mechanisms that
trigger and stop transitions between tonic and phasic population firing. These
mechanisms are captured through a two-dimensional system, which can potentially
be extended to include interactions between different areas of the nervous
system with a small number of equations. The typical behavior of midbrain
dopaminergic neurons in the rodent is used as an example to illustrate and
interpret our results.
\noindent The model presented here can be used as a building block to study
interactions between networks of neurons. This theoretical approach may help
contextualize and understand the factors involved in regulating burst firing in
populations and how it may modulate distinct aspects of behavior.Comment: 25 pages (including references and appendices); 12 figures uploaded
as separate file
The Functional DRD3 Ser9Gly Polymorphism (rs6280) Is Pleiotropic, Affecting Reward as Well as Movement
Abnormalities of motivation and behavior in the context of reward are a fundamental component of addiction and mood disorders. Here we test the effect of a functional missense mutation in the dopamine 3 receptor (DRD3) gene (ser9gly, rs6280) on reward-associated dopamine (DA) release in the striatum. Twenty-six healthy controls (HCs) and 10 unmedicated subjects with major depressive disorder (MDD) completed two positron emission tomography (PET) scans with [11C]raclopride using the bolus plus constant infusion method. On one occasion subjects completed a sensorimotor task (control condition) and on another occasion subjects completed a gambling task (reward condition). A linear regression analysis controlling for age, sex, diagnosis, and self-reported anhedonia indicated that during receipt of unpredictable monetary reward the glycine allele was associated with a greater reduction in D2/3 receptor binding (i.e., increased reward-related DA release) in the middle (anterior) caudate (p<0.01) and the ventral striatum (p<0.05). The possible functional effect of the ser9gly polymorphism on DA release is consistent with previous work demonstrating that the glycine allele yields D3 autoreceptors that have a higher affinity for DA and display more robust intracellular signaling. Preclinical evidence indicates that chronic stress and aversive stimulation induce activation of the DA system, raising the possibility that the glycine allele, by virtue of its facilitatory effect on striatal DA release, increases susceptibility to hyperdopaminergic responses that have previously been associated with stress, addiction, and psychosis
Effect of parasympathetic stimulation on brain activity during appraisal of fearful expressions
Autonomic nervous system activity is an important component of human emotion. Mental processes influence bodily physiology, which in turn feeds back to influence thoughts and feelings. Afferent cardiovascular signals from arterial baroreceptors in the carotid sinuses are processed within the brain and contribute to this two-way communication with the body. These carotid baroreceptors can be stimulated non-invasively by externally applying focal negative pressure bilaterally to the neck. In an experiment combining functional neuroimaging (fMRI) with carotid stimulation in healthy participants, we tested the hypothesis that manipulating afferent cardiovascular signals alters the central processing of emotional information (fearful and neutral facial expressions). Carotid stimulation, compared with sham stimulation, broadly attenuated activity across cortical and brainstem regions. Modulation of emotional processing was apparent as a significant expression-by-stimulation interaction within left amygdala, where responses during appraisal of fearful faces were selectively reduced by carotid stimulation. Moreover, activity reductions within insula, amygdala, and hippocampus correlated with the degree of stimulation-evoked change in the explicit emotional ratings of fearful faces. Across participants, individual differences in autonomic state (heart rate variability, a proxy measure of autonomic balance toward parasympathetic activity) predicted the extent to which carotid stimulation influenced neural (amygdala) responses during appraisal and subjective rating of fearful faces. Together our results provide mechanistic insight into the visceral component of emotion by identifying the neural substrates mediating cardiovascular influences on the processing of fear signals, potentially implicating central baroreflex mechanisms for anxiolytic treatment targets
Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum
Amygdala temporal dynamics: temperamental differences in the timing of amygdala response to familiar and novel faces
Academic Arrhythmia: Disruption, Dissonance and Conflict in the Early-Career Rhythms of CMS Academics
Starting a career on the margins of the neoliberal business school is becoming increasingly challenging. We contribute to the understanding of the problems involved and to potential solutions by developing a theoretically-informed approach to the rhythms of academic life and drawing on interviews with 32 Critical Management Studies (CMS) early-career academics (ECAs) in 14 countries. Bringing together Lefebvre’s rhythmanalysis (and his concepts of polyrhythmia, eurhythmia and arrhythmia), Zerubavel’s sociology of time, and identity construction literature, we examine the rhythm-identity implications of the recent HE changes. We show how the dynamics between the broader pressures, institutional strategies, and our interviewees’ attempts to reassert themselves are creating a vicious circle of arrhythmia – a debilitating condition characterized by rhythmic disruption, dissonance and conflict. Within the circle, identity insecurity and regulation, CMS ECAs’ identity work, and arrhythmia are mutually co-constructive, so that it is hard for individuals to break out. We consider the possibilities and limitations of individual coping strategies and, drawing out lessons for business schools, advocate for more collective and structural solutions. In so doing, we contribute to the reimagining of business schools as more eurhythmically polyrhythmic places where ECAs of all intellectual orientations have the time to learn and develop
Behavioral/Systems/Cognitive Midbrain Dopamine Receptor Availability Is Inversely Associated with Novelty-Seeking Traits in Humans
Novelty-seeking personality traits are a major risk factor for the development of drug abuse and other unsafe behaviors. Rodent models of temperament indicate that high novelty responding is associated with decreased inhibitory autoreceptor control of midbrain dopamine neurons. It has been speculated that individual differences in dopamine functioning also underlie the personality trait of novelty seeking in humans. However, differences in the dopamine system of rodents and humans, as well as the methods for assessing novelty responding/seeking across species leave unclear to what extent the animal models inform our understanding of human personality. In the present study we examined the correlation between novelty-seeking traits in humans an
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