Sources of actual imaging data for mega- or meta-analyses

<div>Talk given during the "Neuroimaging Meta-Analysis educational course" workshop at the 2014 Organization for Human Brain Mapping (OHBM) conference in Hamburg, 8-12 June.</div><div><br></div

“Signatures” of Component Groups.

<p>Top 10 Chosen Features for classifiers M1, M2, M3, and M4 built using Data A (top), and associated weights (bottom). Gray Matter (GM), white matter (WM), cerebral spinal fluid (CSF). complete set of results included as <b><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095493#pone.0095493.s001" target="_blank">Tables S1</a></b>.</p

An individual and group model of “all noise types” (M1)(M5) was built using Data A, to be tested on three other datasets, Data B, C, and D.

<p>Specific noise types (M2)(M3)(M4) were successfully built with Data A, and then extended to Data B. Models of functional networks (M6)(M7)(M8) were not successful, and were not extended to other datasets. Ten-fold cross validation was used for evaluation of all models.</p

Group Model Performance.

<p><b>“</b>All Noise types” Group ICA Classifier (M5) (built with combined group ICA decompositions of Data A and Data B) performance, selected features, and weights.</p

Classifier performance.

<p>Performance metrics (sensitivity, specificity, best cross validation accuracy (CVA), area under the curve (AUC)), and proportion of noise components in data for comprehensive noise (All Noise, M1) and three noise subtypes (M2)(M3)(M4), built with Data A and tested with ten -fold cross validation on Data B (data from the same institution, same scanner, different subject population).</p

ROC analysis for “All Noise Types” Models.

<p>ROC Analysis of the classifiers trained and tested with ten-fold cross validation on Data A, B (same institution, different population), C (different institution, same scanner), and D (different institution, different scanner) for the “all noise types” models. The red line represents performance of a classifier that does no better than random chance.</p

Evaluation with other methods.

<p>Summary of the evaluation of the Spatially Organized Component Klassifikator (SOCK) tested with our data and “all noise type” labels for individual decompositions (combined Data A and B) and group decompositions (Data A and B), as well as our method’s performance with a new model tested and trained using the same combined Data A and B. Accuracy, sensitivity, specificity, and CVA are reported below.</p

Summary of classifier performance.

<p>Performance metrics (sensitivity, specificity, and best cross validation accuracy (CVA)) and proportion of noise components in data for model of all comprehensive noise (All Noise, M1) built with Data A and tested with ten -fold cross validation on three novel datasets: Data B (same institution, same scanner, different subject population), Data C (different institution, same scanner), Data D (different institution, different scanner).</p

Classifier performance.

<p>Performance metrics (sensitivity, specificity, best cross validation accuracy (CVA), area under the curve (AUC)), number of features selected, and proportion of noise components in data for four successful models, including comprehensive noise (All Noise, M1) and three noise subtypes (M2)(M3)(M4), built with and tested with ten -fold cross validation on Data A (healthy control).</p

The Structure of the Shih-chi 史記 and the Theory of Five Virtues

The Shih-chi is written from the viewpoint of the circular theory of history 循環史觀, which reflects the system of cognition that the creation and destruction repeat each other eternally, shared commonly by the people of antiquity. According to the Shih-chi, history began with the Yellow Emperor 黄帝 and then developed into a succession of dynasties, each of which enjoyed the protection of one of the five elements. The fall of a dynasty is due to either cataclysm or tyranny, a notion also common in the folk legends of the time. With the tyranny of the First Emperor of Ch'in 秦始皇, the greatest catastrophe befell and destroyed the civilization continued since the Yellow Emperor. Soon, however, from the chaos emerged Liu Pang 劉邦, who by slaying a serpent realized the cosmos and brought new life to China. What the author of the Shih-chi intended to write was a history of one full cycle, beginning with the Yellow Emperor and coining to Han Wu-ti 漢武帝, the ruler of his time. Both of them, thought he, enjoyed the protection of the element earth ; accordingly, he consciously tried to draw a parallel between the deeds of the two. The theory which tries to explain the succession of dynasties in terms of the five elements is being usually referred to as the wu-hsing hsiang-sheng 五行相勝説. The author of the Shih-chi, however, terms it as the wu-te chung-shih shuo 五徳終始説 or the theory of five virtues. The Shih-chi, it can be said, was written on the basis of this theory and the Taoist philosophy