Resting Brain, Resting Self and Resting Life

Standard brain templates and growth charts provide an invaluable resource for basic science research, with the eventual goal of contributing to the clinical care of neuropsychiatric conditions. Here, we report on a protocol to generate MRI brain templates in children and adolescents at one-year intervals from 6-to-18 years of age, with their corresponding growth charts, using a large-scale neuroimaging data resource (948 brain images from China and United States). To assure that the brain templates and growth charts are reliable and accurate, we developed a refined pipeline consisting of template construction, image registration, brain area labeling and growth chart modeling. The pipeline comprises multiple modular workflows that can be used for multiple applications. In our approach, population- and age-specific templates were first constructed to avoid systemic bias in registration. Brain areas were then labeled based on the appropriate templates, and their morphological metrics were

Most people find colorful brain scans highly compelling—and yet, many experts don’t. This discrepancy begs the question: What can we learn from neuroimaging? Is brain information useful in fields such as psychiatry, law, or education? How do neuroscientists create brain activation maps and why do we admire them? Casting Light on The Dark Side of Brain Imaging　tackles these questions through a critical and constructive lens—separating fruitful science from misleading neuro-babble. In a breezy writing style accessible to a wide readership, experts from across the brain sciences offer their uncensored thoughts to help advance brain research and debunk the craze for reductionist, headline-grabbing neuroscience. This collection of short, enlightening essays is suitable for anyone interested in brain science, from students to professionals. Together, we take a hard look at the science behind brain imaging and outline why this technique remains promising despite its seldom-discussed short

We proposed a theoretical framework refining the concepts of reliability and validity in connecting  the classical measurement theory with individual variability [1]. Science has the mission to fill the gap from reliability to validity. Read more: [1]  Harnessing reliability for neuroscience research [ ShareIt ]

In reading two papers about reproducibility published in Nature Human Behaviour [1,2], I posted this reading note in its 'A picture is worth a thousand words' version. Read more: [1]  A manifesto for reproducible science [2]  A visual tool for defining reproducibility and replicability

Neuroscientists are amassing the large-scale datasets needed to study individual differences and identify biomarkers. However, measurement reliability within individual samples is often suboptimal, thereby requiring unnecessarily large samples. We focus our comment on reliability in neuroimaging and provide examples of how the reliability can be increased.  Read more:  https://t.co/LlshxZXEqy?amp=1 https://www.nature.com/articles/s41562-019-0655-x A framework on measurement reliability