[Molecular genetic causes of epilepsy in children].

The molecular genetic approach to the study of epilepsy in childhood allows us to come closer to understanding the role of heredity in the development of epilepsy, as well as provide a personalized approach to the treatment and rehabilitation of severe, often resistant forms of epilepsy. In this article we demonstrate the genetic factors that cause the development of epilepsy in children. The review is devoted to the most common mechanisms of development of genetic epilepsies.

DNA repair and anti-cancer mechanisms in the long-lived bowhead whale.

At over 200 years, the maximum lifespan of the bowhead whale exceeds that of all other mammals. The bowhead is also the second-largest animal on Earth, reaching over 80,000 kg. Despite its very large number of cells and long lifespan, the bowhead is not highly cancer-prone, an incongruity termed Peto's Paradox.

Neuropeptides specify and reprogram division of labor in the leafcutter ant .

Social insects offer powerful models to investigate the mechanistic foundation of elaborate individual behaviors comprising a cooperative community. Workers of the leafcutter ant genus provide an extreme example of behavioral segregation among many phenotypically distinct worker types. We utilize the complex worker system of to test the molecular underpinnings of behavioral programming and, in particular, the extent of plasticity to reprogramming.

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.

Higher brain functions require flexible integration of information across widely distributed brain regions depending on the task context. Resting-state functional magnetic resonance imaging (fMRI) has provided substantial insight into large-scale intrinsic brain network organisation, yet the principles of rapid context-dependent reconfiguration of that intrinsic network organisation are much less understood. A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices.

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.

Higher brain functions require flexible integration of information across widely distributed brain regions depending on the task context. Resting-state functional magnetic resonance imaging (fMRI) has provided substantial insight into large-scale intrinsic brain network organisation, yet the principles of rapid context-dependent reconfiguration of that intrinsic network organisation are much less understood. A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices.