Multi-modal structural data fusion questions the specificity of fMRI-behavior associations by providing strong evidence relating human brain structure to a wide range of behavioral measures previously associated to functional connectivity.
The estimation of functional connectivity network matrices from resting state fMRI is driven by a combination of spatial and temporal factors in the presence of spatially overlapping network structure.
A method for measuring p300 chromatin occupancy in specific lineages of mouse tissues was used to map endothelial enhancers and to identify previously unrecognized angiogenesis-related sequence motifs.
Connectivity network matrices, as estimated with masking or dual regression against group-level parcellations, reflect little or no unique cross-subject information that is not also captured by spatial topographical variability.
The brain continues to represent individual fingers in primary somatosensory cortex decades after the amputation of a hand, indicating that cortical maps do not require ongoing sensory input from the body.