The connectivity of functional cores reveals different degrees of segregation and integration in the brain at rest

► We applied a data-driven approach to extract cores of connectivity at rest. ► Two main statistically significant cores: PCC and SMA, were extracted. ► Two highly segregated networks are identified: ► The default net gradually connecting to visual and prefrontal regions ► The motor net gradually connecting to more sensory-specific portions of cortex