The capacity to anticipate aversive circumstances is central not only to successful adaptation but also to understanding the abnormalities that contribute to excessive worry and anxiety disorders. Forecasting and reacting to aversive events mobilize a host of affective and cognitive capacities and corresponding brain processes. Rapid event-related functional magnetic resonance imaging (fMRI) in 21 healthy volunteers assessed the overlap and divergence in the neural instantiation of anticipating and being exposed to aversive pictures. Brain areas jointly activated by the anticipation of and exposure to aversive pictures included the dorsal amygdala, anterior insula, dorsal anterior cingulate cortex (ACC), right dorsolateral prefrontal cortex (DLPFC), and right posterior orbitofrontal cortex (OFC). Anticipatory processes were uniquely associated with activations in rostral ACC, a more superior sector of the right DLPFC, and more medial sectors of the bilateral OFC. Activation of the right DLPFC in anticipation of aversion was associated with self-reports of increased negative affect, whereas OFC activation was associated with increases in both positive and negative affect. These results show that anticipation of aversion recruits key brain regions that respond to aversion, thereby potentially enhancing adaptive responses to aversive events.
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Although there are many imaging studies on traditional ROI-based amygdala volumetry, there are very few studies on modeling amygdala shape variations. This paper presents a unified computational and statistical framework for modeling amygdala shape variations in a clinical population. The weighted spherical harmonic representation is used to parameterize, smooth out, and normalize amygdala surfaces. The representation is subsequently used as an input for multivariate linear models accounting for nuisance covariates such as age and brain size difference using the SurfStat package that completely avoids the complexity of specifying design matrices. The methodology has been applied for quantifying abnormal local amygdala shape variations in 22 high functioning autistic subjects.
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The article discusses the Mahamudra oral tradition teachings of the spiritual father and Dharmavajra, his son of highest attainment, through the joined Gelug and Ka-gyu Traditions. It highlights the significance of taking refuge and developing an Enlightened Attitude of Bodhicitta to enter the gateway and framework of Buddha's teachings. The proper methods for formal meditation session in concentrating single-mindedly on Voidness is illustrated.
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According to the Conceptual Act Theory of Emotion, the situated conceptualization used to construe a situation determines the emotion experienced. A neuroimaging experiment tested two core hypotheses of this theory: (1) different situated conceptualizations produce different forms of the same emotion in different situations, (2) the composition of a situated conceptualization emerges from shared multimodal circuitry distributed across the brain that produces emotional states generally. To test these hypotheses, the situation in which participants experienced an emotion was manipulated. On each trial, participants immersed themselves in a physical danger or social evaluation situation and then experienced fear or anger. According to Hypothesis 1, the brain activations for the same emotion should differ as a function of the preceding situation (after removing activations that arose while constructing the situation). According to Hypothesis 2, the critical activations should reflect conceptual processing relevant to the emotion in the current situation, drawn from shared multimodal circuitry underlying emotion. The results supported these predictions and demonstrated the compositional process that produces situated conceptualizations dynamically.
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- Practices Specific to Tibetan Buddhism,
- Literature Specific to Tibetan Buddhism,
- Contemplation by Tradition,
- Vajrayogini,
- Guru yoga (lamé nenjor),
- Means of Accomplishment (sadana, druptap),
- Literature of Buddhist Contemplation,
- Practices of Buddhist Contemplation,
- Generation phase (utpattikrama, kyerim),
- Perfection phase (nispannakrama, dzokrim),
- Deity yoga (devata-yoga, lhé nenjor),
- Buddhist Contemplation
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This multimethod series of studies merges the literatures on gratitude and risk regulation to test a new process model of gratitude and relationship maintenance. We develop a measure of appreciation in relationships and use cross-sectional, daily experience, observational, and longitudinal methods to test our model. Across studies, we show that people who feel more appreciated by their romantic partners report being more appreciative of their partners. In turn, people who are more appreciative of their partners report being more responsive to their partners' needs (Study 1), and are more committed and more likely to remain in their relationships over time (Study 2). Appreciative partners are also rated by outside observers as relatively more responsive and committed during dyadic interactions in the laboratory, and these behavioral displays are one way in which appreciation is transmitted from one partner to the other (Study 3). These findings provide evidence that gratitude is important for the successful maintenance of intimate bonds.
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Zotero Collections:
- Practices Specific to Tibetan Buddhism,
- Tibetan Buddhism,
- Buddhist Contemplation by Tradition,
- Contemplation by Tradition,
- Practices of Buddhist Contemplation,
- Generation phase (utpattikrama, kyerim),
- Great Seal (Mahamudra, Chakchen),
- Great Perfection (Dzokchen),
- Perfection phase (nispannakrama, dzokrim),
- Deity yoga (devata-yoga, lhé nenjor),
- Buddhist Contemplation
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- Buddhist Contemplation by Applied Subject,
- Contemplation by Applied Subject,
- Contemplation by Tradition,
- Psychotherapy and Buddhist Contemplation,
- Health Care and Buddhist Contemplation,
- Health Care and Contemplation,
- Emotions and Contemplation,
- Psychology and Contemplation,
- Science and Contemplation,
- Buddhist Contemplation
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Day time activities are known to influence the sleep on the following night. Cyclic meditation (CM) has recurring cycles. Previously, the low frequency (LF) power and the ratio between low frequency and high frequency (LF/HF ratio) of the heart rate variability (HRV) decreased during and after CM but not after a comparable period of supine rest (SR). In the present study, on thirty male volunteers, CM was practiced twice in the day and after this the HRV was recorded (1) while awake and (2) during 6 h of sleep (based on EEG, EMG and EGG recordings). This was similarly recorded for the night’s sleep following the day time practice of SR. Participants were randomly assigned to the two sessions and all of them practiced both CM and SR on different days. During the night following day time CM practice there were the following changes; a decrease in heart rate, LF power (n.u.), LF/HF ratio, and an increase in the number of pairs of Normal to Normal RR intervals differing by more than 50 ms divided by total number of all NN intervals (pNN50) (P < 0.05, in all cases, comparing sleep following CM compared with sleep following SR). No change was seen on the night following SR. Hence yoga practice during the day appears to shift sympatho-vagal balance in favor of parasympathetic dominance during sleep on the following night.
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Zotero Collections:
- Practices Specific to Tibetan Buddhism,
- Literature Specific to Tibetan Buddhism,
- Contemplation by Tradition,
- Consecration Texts (rapné),
- Literature of Buddhist Contemplation,
- Practices of Buddhist Contemplation,
- Generation phase (utpattikrama, kyerim),
- Deity yoga (devata-yoga, lhé nenjor),
- Buddhist Contemplation
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<p>Contains songs of realization attributed to Milarepa as recorded by the Madman of Tsang (15-16th centuries). Many songs relate to Great Seal practice and thought.</p>
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Neurosurgical treatment of psychiatric disorders has been influenced by evolving neurobiological models of symptom generation. The advent of functional neuroimaging and advances in the neurosciences have revolutionized understanding of the functional neuroanatomy of psychiatric disorders. This article reviews neuroimaging studies of depression from the last 3 decades and describes an emerging neurocircuitry model of mood disorders, focusing on critical circuits of cognition and emotion, particularly those networks involved in the regulation of evaluative, expressive and experiential aspects of emotion. The relevance of this model for neurotherapeutics is discussed, as well as the role of functional neuroimaging of psychiatric disorders.
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Recent years have seen an explosion of interest in using neural oscillations to characterize the mechanisms supporting cognition and emotion. Oftentimes, oscillatory activity is indexed by mean power density in predefined frequency bands. Some investigators use broad bands originally defined by prominent surface features of the spectrum. Others rely on narrower bands originally defined by spectral factor analysis (SFA). Presently, the robustness and sensitivity of these competing band definitions remains unclear. Here, a Monte Carlo-based SFA strategy was used to decompose the tonic ("resting" or "spontaneous") electroencephalogram (EEG) into five bands: delta (1-5Hz), alpha-low (6-9Hz), alpha-high (10-11Hz), beta (12-19Hz), and gamma (>21Hz). This pattern was consistent across SFA methods, artifact correction/rejection procedures, scalp regions, and samples. Subsequent analyses revealed that SFA failed to deliver enhanced sensitivity; narrow alpha sub-bands proved no more sensitive than the classical broadband to individual differences in temperament or mean differences in task-induced activation. Other analyses suggested that residual ocular and muscular artifact was the dominant source of activity during quiescence in the delta and gamma bands. This was observed following threshold-based artifact rejection or independent component analysis (ICA)-based artifact correction, indicating that such procedures do not necessarily confer adequate protection. Collectively, these findings highlight the limitations of several commonly used EEG procedures and underscore the necessity of routinely performing exploratory data analyses, particularly data visualization, prior to hypothesis testing. They also suggest the potential benefits of using techniques other than SFA for interrogating high-dimensional EEG datasets in the frequency or time-frequency (event-related spectral perturbation, event-related synchronization/desynchronization) domains.
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<p>Imaging techniques provide ways of knowing structure and function in biology at different scales. The multidisciplinary nature and rapid advancement of imaging sciences requires imaging education to begin early in the biology curriculum. Guided by the National Institutes of Health (NIH) Roadmap initiatives, we incorporated a nanoimaging, molecular imaging, and medical imaging teaching unit into three 1-h class periods of an introductory course on ways of knowing biology. Activities were derived from NIH Roadmap initiatives in nanomedicine, regenerative medicine, and nuclear medicine. The course materials we describe contributed positively to student learning gains in quantifying and interpreting images, in characterizing imaging methods that provide ways of knowing biological structure and function, and in understanding scale in biology and imaging. The NIH Roadmap provides a useful context to educate students about the multidisciplinary imaging continuum.</p>
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