The 'tribal areas' of the Caucasus: The North Caucasus - an enclave of 'alien civilisation' within the Russian Federation. OSW Study 34/2010

Militant Islam is currently the greatest threat to security and stability in the Russian part of the Caucasus. However, even though the armed Islamic underground is capable of organising terrorist attacks and carrying out actions of sabotage, it seems too weak to bring about any change in the Caucasus’s political status quo. Besides, militant Islam is merely a symptom (albeit the most radical and spectacular) of a much wider process, namely the widening civilisational gap between Russia and the North Caucasus, initiated by the collapse of the Soviet Union. The key elements of this process are as follows: the spontaneous re-Islamisation of social life and the dynamic growth of Islam's political influence; the de-Russification of the region; and the ongoing marginalisation of secular intellectuals. As a result, the North Caucasus, and principally Chechnya, Ingushetia and Dagestan, are turning into an enclave separated from the rest of the Russian Federation by a growing civilisational gap, and becoming increasingly different from the rest of Russia. This situation may recall the tribal areas of Pakistan inhabited by Pashtuns (FATA) along the Afghan border.

Radiomic Texture Analysis Mapping Predicts Areas of True Functional MRI Activity.

Individual analysis of functional Magnetic Resonance Imaging (fMRI) scans requires user-adjustment of the statistical threshold in order to maximize true functional activity and eliminate false positives. In this study, we propose a novel technique that uses radiomic texture analysis (TA) features associated with heterogeneity to predict areas of true functional activity. Scans of 15 right-handed healthy volunteers were analyzed using SPM8. The resulting functional maps were thresholded to optimize visualization of language areas, resulting in 116 regions of interests (ROIs). A board-certified neuroradiologist classified different ROIs into Expected (E) and Non-Expected (NE) based on their anatomical locations. TA was performed using the mean Echo-Planner Imaging (EPI) volume, and 20 rotation-invariant texture features were obtained for each ROI. Using forward stepwise logistic regression, we built a predictive model that discriminated between E and NE areas of functional activity, with a cross-validation AUC and success rate of 79.84% and 80.19% respectively (specificity/sensitivity of 78.34%/82.61%). This study found that radiomic TA of fMRI scans may allow for determination of areas of true functional activity, and thus eliminate clinician bias.