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Roaming into the Beyond: Representations of Xian Immortality in Early Medieval Chinese Verse
In Roaming into the Beyond Zornica Kirkova provides the first detailed study in a Western language of Daoism-inspired themes in early medieval Chinese poetry. She examines representations of Daoist xian immortality in a broad range of versified literature from the Han until the end of the Six Dynasties, focusing on the transformations of themes, concepts, and imagery within a wide literary and religious context. Adopting a more integrated approach, the author explores both the complex interaction between poetry and Daoist religion and the interrelations between various verse forms and poetic themes. This book not only enhances our understanding of the complexities of early medieval literature but also reevaluates the place of Daoist religious thought in the intellectual life of the period.
Dynamic Functional Connectivity in Neuropsychiatric Disorders: Methods and Applications, volume II
Neuropsychiatric disorders have a huge impact on individuals, families and societies. However, the neuropathology underlying cognitive deficits in neuropsychiatric disorders remains unclear. Resting-state functional connectivity provides a powerful way to investigate functional alterations underlying cognitive deficits in neuropsychiatric disorders. Traditional FC analysis measures the correlations of signals with an assumption that functional connectivity remains constant during the observation period. In recent years, several studies have demonstrated the feasibility of dynamic methods in characterization of functional brain changes, such as dynamic functional connectivity investigated by a sliding window method. However, selection of window size, window stepsize and window type are open areas of research and an important parameter to capture the resting-state FC dynamics.
Identifying Neuroimaging-Based Markers for Distinguishing Brain Disorders
There has been increasing interests in exploring biomarkers from brain images, aiming to have a better understanding and a more effective diagnosis of brain disorders such as schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer’s disease and so on. Therefore, it is important to identify disease-specific changes for distinguishing healthy controls and patients with brain disorders as well as for differentiating patients with different disorders showing similar clinical symptoms. Biomarkers can be identified from different types of brain Imaging techniques including functional magnetic resonance imaging (fMRI...
Brain-Inspired Computing
This book constitutes revised selected papers from the Second International Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations.
Neuroimaging Biomarkers and Cognition in Alzheimer’s disease Spectrum
Subjective cognitive decline (SCD) with self-reported concerns and mild cognitive impairment (MCI) are well-established to be at increased risk of developing Alzheimer’s disease (AD) dementia and a clinical continuum of dementia progression as a spectrum of AD. AD may develop from SCD to MCI (early MCI and late MCI) and eventually to AD. Nevertheless, until recently little was known about their pathophysiology associated with cognitive-behavioral syndrome. Although for researchers, scientists and clinicians, the pathophysiology of AD spectrum is an intriguing issue, delineating it in a clear way is far from easy. Taken together, in-depth understanding of neuroimaging-based pathology behind...
