The impacts of the global political economy of oil and the entrenchment of underdevelopment in Africa and parts of Asia are endangering planetary resilience and making many people's livelihoods and wellbeing more precarious. In some resprects, the world has moved further away from sustainable development, not towards it.
Thirty-seven reports of the treatment of hypertension by non-pharmacological means were compared with the results of treatment by standard drug regimens. Treatment by drugs produced the greatest lowering of blood pressure. Treatment by weight reduction, yoga, and muscle relaxation each produced smaller, but appreciable, changes in blood pressure biofeedback, and salt restriction were inferior to those of the other regimens and were not significantly different to the effects of placebo treatment. Large comparative trials of pharmacological and non-pharmacological treatments are needed before definite conclusions can be made.
Using data for 25,780 species categorized on the International Union for Conservation of Nature Red List, we present an assessment of the status of the world’s vertebrates. One-fifth of species are classified as Threatened, and we show that this figure is increasing: On average, 52 species of mammals, birds, and amphibians move one category closer to extinction each year. However, this overall pattern conceals the impact of conservation successes, and we show that the rate of deterioration would have been at least one-fifth again as much in the absence of these. Nonetheless, current conservation efforts remain insufficient to offset the main drivers of biodiversity loss in these groups: agricultural expansion, logging, overexploitation, and invasive alien species.Though the threat of extinction is increasing, overall declines would have been worse in the absence of conservation.
Though the threat of extinction is increasing, overall declines would have been worse in the absence of conservation.
Few complementary and alternative medicine (CAM) institutions require their students to undergo substantive training in research literacy and conduct, and well-developed programs to train CAM institution faculty in research are virtually non-existent. As part of a National Center for Complementary and Alternative Medicine (NCCAM) initiative to increase research capacity at CAM institutions, the New England School of Acupuncture (NESA), in collaboration with the Harvard Medical School (HMS) Osher Institute, was awarded a Developmental Center for Research on Complementary and Alternative Medicine (DCRC) grant. This article discusses a number of initiatives that we designed and implemented to train NESA students, faculty members, and alumni in the foundations of clinical research and to stimulate interest in both participating in research and receiving additional research training. Specific initiatives included a 30-hour faculty "Foundations of Research" course; a year-long course entitled, "How to Write a Publishable Case Report"; institution of a monthly research seminar series; revision of an already required student research course; and the addition of 2 new student-mentored independent research electives. We discuss successes and challenges encountered in developing and administering these initiatives and the overall impact they have had on research culture and productivity at NESA.
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This investigation evaluated the role of mindfulness‐based attention in concurrently predicting anxiety and depressive symptomatology and perceived health functioning in a community sample of 170 young adults (95 females; mean age (Mage) = 22.2 years, SD = 7.6). Partially consistent with prediction, results indicated that, relative to negative and positive affectivity and emotional expression and processing associated with approach‐oriented coping, mindfulness‐based attention incrementally predicted anhedonic depressive, but not anxious arousal, symptoms. Additionally, consistent with prediction, mindfulness‐based attention demonstrated incremental validity in relation to perceived health, and the degree of impairment of health in terms of physical and mental functioning. Results are discussed in relation to the construct development of mindfulness‐based attention, and specifically, the role(s) of this factor in emotional and physical health processes.
Using functional magnetic resonance imaging, we examined whether individual differences in amygdala activation in response to negative relative to neutral information are related to differences in the speed with which such information is evaluated, the extent to which such differences are associated with medial prefrontal cortex function, and their relationship with measures of trait anxiety and psychological well-being (PWB). Results indicated that faster judgments of negative relative to neutral information were associated with increased left and right amygdala activation. In the prefrontal cortex, faster judgment time was associated with relative decreased activation in a cluster in the ventral anterior cingulate cortex (ACC, BA 24). Furthermore, people who were slower to evaluate negative versus neutral information reported higher PWB. Importantly, higher PWB was strongly associated with increased activation in the ventral ACC for negative relative to neutral information. Individual differences in trait anxiety did not predict variation in judgment time or in amygdala or ventral ACC activity. These findings suggest that people high in PWB effectively recruit the ventral ACC when confronted with potentially aversive stimuli, manifest reduced activity in subcortical regions such as the amygdala, and appraise such information as less salient as reflected in slower evaluative speed.
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A current limitation for imaging of brain function is the potential confound of anatomical differences or registration error, which may manifest via apparent functional "activation" for between-subject analyses. With respect to functional activations, underlying tissue mismatches can be regarded as a nuisance variable. We propose adding the probability of gray matter at a given voxel as a covariate (nuisance variable) in the analysis of voxelwise multisubject functional data using standard statistical techniques. A method is presented to assess the extent to which a functional activation can reliably be explained by underlying anatomical differences, and simultaneously, to assess the component of the functional activation which cannot be attributed to anatomical difference and thus is likely due to functional difference alone. Extension of the method to other intermodal imaging applications is discussed. Two exemplary data sets, one PET and one fMRI, are used to demonstrate the implementation and utility of this method, which apportions the relative contributions of anatomy and function for an apparent functional activation. The examples show two distinct types of results. First, a so-called functional activation may actually be caused by a systematic anatomical difference which, when modeled, diminishes the functional effect. In the second result type, including the anatomical differences in the model can account for a large component of otherwise unmodeled variance, yielding an increase in the functional effect cluster size and/or magnitude. In either case, ignoring the readily available structural information can lead to misinterpretation of functional results.
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It has been argued that emotion, pain, and cognitive control are functionally segregated in distinct subdivisions of the cingulate cortex. But recent observations encourage a fundamentally different view. Imaging studies indicate that negative affect, pain, and cognitive control activate an overlapping region of dorsal cingulate, the anterior midcingulate cortex (aMCC). Anatomical studies reveal that aMCC constitutes a hub where information about reinforcers can be linked to motor centers responsible for expressing affect and executing goal-directed behavior. Computational modeling and other kinds of evidence suggest that this intimacy reflects control processes that are common to all three domains. These observations compel a reconsideration of dorsal cingulate’s contribution to negative affect and pain.
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<p>This is the fourth issue of the <em>Journal of the International Association of Tibetan Studies</em>, edited by Ken Bauer, Geoff Childs, Andrew Fischer, and Daniel Winkler and released in December, 2008 (Bill McGrath 2009-03-31).</p>
Autism is a neurodevelopmental disorder affecting behavioral and social cognition, but there is little understanding about the link between the functional deficit and its underlying neuroanatomy. We applied a 2D version of voxel-based morphometry (VBM) in differentiating the white matter concentration of the corpus callosum for the group of 16 high functioning autistic and 12 normal subjects. Using the white matter density as an index for neural connectivity, autism is shown to exhibit less white matter concentration in the region of the genu, rostrum, and splenium removing the effect of age based on the general linear model (GLM) framework. Further, it is shown that the less white matter concentration in the corpus callosum in autism is due to hypoplasia rather than atrophy.
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his book is about the state of embodied perfection often called enlightenment, self-realization, or liberation. It examines the types, degrees, and stages of liberation that are possible, with and without a body.
Diffusion tensor imaging (DTI) plays a key role in analyzing the physical structures of biological tissues, particularly in reconstructing fiber tracts of the human brain in vivo. On the one hand, eigenvalues of diffusion tensors (DTs) estimated from diffusion weighted imaging (DWI) data usually contain systematic bias, which subsequently biases the diffusivity measurements popularly adopted in fiber tracking algorithms. On the other hand, correctly accounting for the spatial information is important in the construction of these diffusivity measurements since the fiber tracts are typically spatially structured. This paper aims to establish test-based approaches to identify anisotropic water diffusion areas in the human brain. These areas in turn indicate the areas passed by fiber tracts. Our proposed test statistic not only takes into account the bias components in eigenvalue estimates, but also incorporates the spatial information of neighboring voxels. Under mild regularity conditions, we demonstrate that the proposed test statistic asymptotically follows a $\chi^2$ distribution under the null hypothesis. Simulation and real DTI data examples are provided to illustrate the efficacy of our proposed methods.
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Humans show consistent differences in the extent to which their behavior reflects a bias toward appetitive approach-related behavior or avoidance of aversive stimuli [Elliot, A. J. Approach and avoidance motivation. In A. J. Elliot (Ed.), Handbook of approach and avoidance motivation (pp. 3-14). New York: Psychology Press, 2008]. We examined the hypothesis that in healthy participants this motivational bias (assessed by self-report and by a probabilistic learning task that allows direct comparison of the relative sensitivity to reward and punishment) reflects lateralization of dopamine signaling. Using [F-18]fallypride to measure D2/D3 binding, we found that self-reported motivational bias was predicted by the asymmetry of frontal D2 binding. Similarly, striatal and frontal asymmetries in D2 dopamine receptor binding, rather than absolute binding levels, predicted individual differences in learning from reward versus punishment. These results suggest that normal variation in asymmetry of dopamine signaling may, in part, underlie human personality and cognition.
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The environment that we construct affects both humans and our natural world in myriad ways. There is a pressing need to create healthy places and to reduce the health threats inherent in places already built. However, there has been little awareness of the adverse effects of what we have constructed-or the positive benefits of well designed built environments. This book provides a far-reaching follow-up to the pathbreaking Urban Sprawl and Public Health, published in 2004. That book sparked a range of inquiries into the connections between constructed environments, particularly cities and suburbs, and the health of residents, especially humans. Since then, numerous studies have extended and refined the book's research and reporting. Making Healthy Places offers a fresh and comprehensive look at this vital subject today. There is no other book with the depth, breadth, vision, and accessibility that this book offers. In addition to being of particular interest to undergraduate and graduate students in public health and urban planning, it will be essential reading for public health officials, planners, architects, landscape architects, environmentalists, and all those who care about the design of their communities. Like a well-trained doctor, Making Healthy Places presents a diagnosis of--and offers treatment for--problems related to the built environment. Drawing on the latest scientific evidence, with contributions from experts in a range of fields, it imparts a wealth of practical information, with an emphasis on demonstrated and promising solutions to commonly occurring problems.
General linear modeling (GLM) is one of the most commonly used approaches to perform voxel based analyses (VBA) for hypotheses testing in neuroimaging. In this paper we tie support vector machine based regression (SVR) and classical significance testing to provide the benefits of max margin estimation in the GLM setting. Using Welch-Satterthwaite approximations, we compute degrees of freedom (df) of error (also known as residual df) for ε-SVR. We demonstrate that ε-SVR can result not only in robustness of estimation but also improved residual df compared to the very commonly used ordinary least squares (OLS) estimation. This can result in higher sensitivity to signal in neuroimaging studies and also allow for better control of confounding effects of nuisance covariates. We demonstrate the application of our approach in white matter analyses using diffusion tensor imaging (DTI) data from autism and emotion-regulation studies.
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Intensive training in Vipassana meditation enhances one's ability to allocate attention efficiently in order to detect visual targets accurately. Behavioral and event-related potential evidence for a causal link between behavioral training and brain plasticity in adults is shown.
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- Classical Buddhist Contemplation Practices,
- Buddhist Contemplation by Applied Subject,
- Contemplation by Applied Subject,
- Contemplation by Tradition,
- Neuroscience and Buddhist Contemplation,
- Science and Buddhist Contemplation,
- Neuroscience and Contemplation,
- Practices of Buddhist Contemplation,
- Insight (vipashyana, lhaktong),
- Science and Contemplation,
- Buddhist Contemplation
Intensive training in Vipassana meditation enhances one's ability to allocate attention efficiently in order to detect visual targets accurately. Behavioral and event-related potential evidence for a causal link between behavioral training and brain plasticity in adults is shown.
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The capacity to stabilize the content of attention over time varies among individuals, and its impairment is a hallmark of several mental illnesses. Impairments in sustained attention in patients with attention disorders have been associated with increased trial-to-trial variability in reaction time and event-related potential deficits during attention tasks. At present, it is unclear whether the ability to sustain attention and its underlying brain circuitry are transformable through training. Here, we show, with dichotic listening task performance and electroencephalography, that training attention, as cultivated by meditation, can improve the ability to sustain attention. Three months of intensive meditation training reduced variability in attentional processing of target tones, as indicated by both enhanced theta-band phase consistency of oscillatory neural responses over anterior brain areas and reduced reaction time variability. Furthermore, those individuals who showed the greatest increase in neural response consistency showed the largest decrease in behavioral response variability. Notably, we also observed reduced variability in neural processing, in particular in low-frequency bands, regardless of whether the deviant tone was attended or unattended. Focused attention meditation may thus affect both distracter and target processing, perhaps by enhancing entrainment of neuronal oscillations to sensory input rhythms, a mechanism important for controlling the content of attention. These novel findings highlight the mechanisms underlying focused attention meditation and support the notion that mental training can significantly affect attention and brain function.
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The capacity to stabilize the content of attention over time varies among individuals, and its impairment is a hallmark of several mental illnesses. Impairments in sustained attention in patients with attention disorders have been associated with increased trial-to-trial variability in reaction time and event-related potential deficits during attention tasks. At present, it is unclear whether the ability to sustain attention and its underlying brain circuitry are transformable through training. Here, we show, with dichotic listening task performance and electroencephalography, that training attention, as cultivated by meditation, can improve the ability to sustain attention. Three months of intensive meditation training reduced variability in attentional processing of target tones, as indicated by both enhanced theta-band phase consistency of oscillatory neural responses over anterior brain areas and reduced reaction time variability. Furthermore, those individuals who showed the greatest increase in neural response consistency showed the largest decrease in behavioral response variability. Notably, we also observed reduced variability in neural processing, in particular in low-frequency bands, regardless of whether the deviant tone was attended or unattended. Focused attention meditation may thus affect both distracter and target processing, perhaps by enhancing entrainment of neuronal oscillations to sensory input rhythms, a mechanism important for controlling the content of attention. These novel findings highlight the mechanisms underlying focused attention meditation and support the notion that mental training can significantly affect attention and brain function.
Zotero Collections:
Building upon contemporary models of teaching that suggest that teachers’ own well-being is related to their classroom practice and student outcomes, we examined whether middle school teachers’ mindfulness skills were related to their concurrent occupational health and well-being (job stress, occupational burnout, and depressive and anxiety symptoms), and quality of their interactions with students in their “most stressful” class during the school day. Multivariate regression analyses of 58 middle school teachers indicated that teacher mindfulness was significantly associated with lower levels of job stress, occupational burnout, and depressive and anxiety symptoms; and higher levels of observers’ ratings of teachers’ emotionally supportive interactions with students in their most stressful classroom. Occupational burnout, in contrast, was negatively related to observers’ ratings of emotional support and organization in the classroom. Results suggest individual differences in middle school teachers’ mindfulness may affect their interactions with students in the middle school classroom directly and through reductions in burnout, though longitudinal studies of these relations are needed. Findings are discussed in relation to intervention efforts to improve teacher mindfulness through training in order to support occupational health and well-being, improve the quality of teacher-student interactions in the classroom, and increase student engagement and learning.
Building upon contemporary models of teaching that suggest that teachers’ own well-being is related to their classroom practice and student outcomes, we examined whether middle school teachers’ mindfulness skills were related to their concurrent occupational health and well-being (job stress, occupational burnout, and depressive and anxiety symptoms), and quality of their interactions with students in their “most stressful” class during the school day. Multivariate regression analyses of 58 middle school teachers indicated that teacher mindfulness was significantly associated with lower levels of job stress, occupational burnout, and depressive and anxiety symptoms; and higher levels of observers’ ratings of teachers’ emotionally supportive interactions with students in their most stressful classroom. Occupational burnout, in contrast, was negatively related to observers’ ratings of emotional support and organization in the classroom. Results suggest individual differences in middle school teachers’ mindfulness may affect their interactions with students in the middle school classroom directly and through reductions in burnout, though longitudinal studies of these relations are needed. Findings are discussed in relation to intervention efforts to improve teacher mindfulness through training in order to support occupational health and well-being, improve the quality of teacher-student interactions in the classroom, and increase student engagement and learning.
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