Imaging connectomics based on graph theory has become an effective and unique
methodological framework for studying structural and functional connectivity patterns of the …

Biological systems-level principles of the genetic landscape underlying the neurobiology of
dyslexia provide a novel and heuristic theoretical framework for a new understanding of the …

Objective Neuroimaging research suggested a mixed pattern of functional connectivity
abnormalities in developmental dyslexia. We examined differences in the topological …

Reading is a complex cognitive skill that involves visual, attention, and linguistic skills.
Because attention is one of the most important cognitive skills for reading and learning, the …

Developmental dyslexia is known to involve dysfunctions in multiple brain regions; however,
a clear understanding of the brain networks behind this disorder is still lacking. The present …

Reading is an important high‐level cognitive function of the human brain, requiring
interaction among multiple brain regions. Revealing differences between children's large …

Abstract Machine learning can be used to find meaningful patterns characterizing individual
differences. Deploying a machine learning classifier fed by local features derived from graph …

Abnormalities in large-scale brain networks have been recently reported in dyslexia;
however, it remains unclear whether these abnormalities are congenital (due to dyslexia per …

Past neuroimaging studies have focused on identifying specialized functional brain systems
for processing different components of reading, such as orthography, phonology, and …

The neural basis of dyslexia in different languages remains unresolved, and it is unclear
whether the phonological deficit as the core deficit of dyslexia is language-specific or …