Xin Tang – författare

In the past several years, there has been an exciting body of new research that links impairments in the expression or function of neuronal chloride transporters to a growing number of diseases spanning from autism to brain aging. This book introduces the core concepts and highlights the recent advances in understanding the physiology and pathophysiology of the KCC and NKCC families of neuronal chloride transporters. Neuronal chloride transporter biology is reviewed, including roles in setting the transmembrane chloride gradient and the chloride transport-independent functions, such as regulating excitatory neurotransmission. Chapters are also dedicated to addressing the structure, post-translational modification, membrane trafficking, and protein interaction partners of neuronal chloride transporters, as well as the genetic and environmental factors that regulate their expression in neurons and the novel therapeutic approaches that target neuronal chloride transporters to treat neurological diseases. This new volume will provide readers with an up-to-date summary of the recent advances in neuronal chloride transporter research, with particular emphasis on some of the key emerging topics in the field.

Summarizes roles of KCCs and NKCCs in regulating inhibitory and excitatory neurotransmission Reviews the molecular and cellular biology of neuronal chloride transporters Links neuronal chloride transporter deficiencies to autism, epilepsy, depression, and more Identifies role of transporter deficiencies in pain as well as brain and spinal cord injury Discusses drug research targeting neuronal chloride transporters for nervous system diseases

Psychological network analysis (PNA) has emerged as a powerful tool for understanding the complex interplay of constructs in developmental and educational sciences. Unlike traditional models that assume relationships among variables arise from latent factors, PNA conceptualizes them as dynamic systems of interacting components. This tutorial introduces PNA's theoretical foundations, key concepts (e.g., nodes, edges, network structures), and its methodological applications using cross-sectional, longitudinal, intensive, and cohort data. Through step-by-step guidance and real-world examples, we illustrate how PNA can capture developmental changes, reveal causal structures using directed acyclic graphs, and support developmental and educational research. Special emphasis is given to practical implementation using R, including network estimation, accuracy testing, and visualization. By equipping researchers with the necessary tools to construct and interpret psychological networks, this Element provides a comprehensive framework for leveraging PNA to explore the multifaceted relationships shaping learning, motivation, and social-emotional development.