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EEG and EEG source-estimation are susceptible to electromyographic artifacts (EMG) generated by the cranial muscles. EMG can mask genuine effects or masquerade as a legitimate effect-even in low frequencies, such as alpha (8-13 Hz). Although regression-based correction has been used previously, only cursory attempts at validation exist, and the utility for source-localized data is unknown. To address this, EEG was recorded from 17 participants while neurogenic and myogenic activity were factorially varied. We assessed the sensitivity and specificity of four regression-based techniques: between-subjects, between-subjects using difference-scores, within-subjects condition-wise, and within-subject epoch-wise on the scalp and in data modeled using the LORETA algorithm. Although within-subject epoch-wise showed superior performance on the scalp, no technique succeeded in the source-space. Aside from validating the novel epoch-wise methods on the scalp, we highlight methods requiring further development.
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We present a novel weighted Fourier series (WFS) representation for cortical surfaces. The WFS representation is a data smoothing technique that provides the explicit smooth functional estimation of unknown cortical boundary as a linear combination of basis functions. The basic properties of the representation are investigated in connection with a self-adjoint partial differential equation and the traditional spherical harmonic (SPHARM) representation. To reduce steep computational requirements, a new iterative residual fitting (IRF) algorithm is developed. Its computational and numerical implementation issues are discussed in detail. The computer codes are also available at http://www.stat.wisc.edu/-mchung/softwares/weighted.SPHARM/weighted-SPHARM.html. As an illustration, the WFS is applied i n quantifying the amount ofgray matter in a group of high functioning autistic subjects. Within the WFS framework, cortical thickness and gray matter density are computed and compared.
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<p>Research suggests that mindfulness practices offer psychotherapists a way to positively affect aspects of therapy that account for successful treatment. This paper provides psychotherapists with a synthesis of the empirically supported advantages of mindfulness. Definitions of mindfulness and evidence-based interpersonal, affective, and intrapersonal benefits of mindfulness are presented. Research on therapists who meditate and client outcomes of therapists who meditate are reviewed. Implications for practice, research, and training are discussed.</p>

<p>Bringing together leading scholars, scientists, and clinicians, this compelling volume explores how therapists can cultivate wisdom and compassion in themselves and their clients. Chapters describe how combining insights from ancient contemplative practices and modern research can enhance the treatment of anxiety, depression, trauma, substance abuse, suicidal behavior, couple conflict, and parenting stress. Seamlessly edited, the book features numerous practical exercises and rich clinical examples. It examines whether wisdom and compassion can be measured objectively, what they look like in t.</p>

<p>Bourgeault looks to the Gospels, to contemplative experience, and to recently discovered ancient Christian documents (such as the Nag Hammadi scriptures and the Gospel of Thomas) to reveal a fresh new understanding of Jesus and his teaching.</p>

<p>A guide to Ashtanga Yoga. It outlines the ethical principles and philosophy underlying the discipline, explains important terms and concepts, and guides the reader through Ashtanga's Sun Salutations and the subsequent primary sequence of forty-two asanas, or poses, describing how to execute each position and what benefits each provides.</p>

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