Cortico-subcortical converging organization at rest
Dang, S.; Jallepalli, D.
Show abstract
Higher-order cognitive function relies on information convergence between functionally specialized communities. It is unknown how subcortex configures itself with respect to the local segregation and global integration dynamics at rest. Using functional MRI, we revealed three non-overlapping communities confined anatomically to thalamus, basal ganglia, and subcortical limbic structures and network "hubs". Further, using statistical modelling we quantified the extent of convergence and found multiple, widespread cortical regions converging onto individual subcortical regions. We revealed a topographic organization of cortical convergence within subcortical resting state networks, such that thalamic, basal ganglia, subcortical limbic networks received convergence from cortical areas involved in sensorimotor integration, associative and motor control, limbic functions, respectively. Further, we found functional diversity of cortex to be the major driving factor behind cortical convergence within subcortex and that the absence of subcortical regions significantly impacted the information-transmission efficiency within the converging organization, underscoring the subcortical contributions to brain dynamics.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain 97%
- Leading Basic Modes of Spontaneous Activity Drive Individual Functional Connectivity Organization in the Resting Human Brain 97%
- The neuroreceptors and transporters underlying spontaneous brain activity 96%
Similar papers in this journal
- Experience sampling reveals the role that covert goal states play in task-relevant behavior. 96%
- Distinct structure-function relationships across cortical regions and connectivity scales in the rat brain 95%
- Temporal order of activations and interactions during arithmetic calculations measured by intracranial electrophysiological recordings in the human brain 95%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.