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The neuroscience of why bad habits are so hard to break—and how evidence-based strategies can help us change our behavior more effectivelyWe all have habits we’d like to break, but for many of us it can be nearly impossible to do so. There is a good reason for this: the brain is a habit-building machine. In Hard to Break, leading neuroscientist Russell Poldrack provides an engaging and authoritative account of the science of how habits are built in the brain, why they are so hard to break, and how evidence-based strategies may help us change unwanted behaviors.Hard to Break offers a clear-eyed tour of what neuroscience tells us about habit change and debunks “easy fixes” that aren’t backed by science. It explains how dopamine is essential for building habits and how the battle between habits and intentional goal-directed behaviors reflects a competition between different brain systems. Along the way, we learn how cues trigger habits; why we should make rules, not decisions; how the stimuli of the modern world hijack the brain’s habit machinery and lead to drug abuse and other addictions; and how neuroscience may one day enable us to hack our habits. Shifting from the individual to society, the book also discusses the massive habit changes that will be needed to address the biggest challenges of our time.Moving beyond the hype to offer a deeper understanding of the biology of habits in the brain, Hard to Break reveals how we might be able to make the changes we desire—and why we should have greater empathy with ourselves and others who struggle to do so.

Human behavior. --- Cognitive psychology --- History. --- Psychology, Cognitive --- Cognitive science --- Psychology --- Charles Duhigg. --- bad habits. --- basal ganglia. --- brain chemistry. --- brain scans. --- break. --- breaking. --- choice. --- chunked action. --- delayed gratification. --- digital. --- executive function. --- food. --- goal directed behavior. --- good habits. --- hacking. --- impulse control. --- lizard brain. --- loss aversion. --- make. --- making. --- mindfulness. --- mindlessness. --- phone. --- power of habit. --- prefrontal cortex. --- public health. --- reinforcement. --- science of behavior change. --- self control. --- stickiness. --- sticky. --- stimuli. --- stress. --- ways to break. --- well being. --- Action, Human --- Behavior, Human --- Ethology --- Human action --- Human beings --- Human biology --- Physical anthropology --- Social sciences --- Psychology, Comparative --- Behavior

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Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

Psychology --- Applied mathematics

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Neurosciences --- connectomics --- reliability --- reproducibility --- biomarker --- data sharing --- open sciences

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"Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software"--Provided by publisher.

Brain mapping --- Brain --- Magnetic resonance imaging. --- Statistical methods. --- Imaging