Resting-state networks reveal functional connectivity patterns without any task
Evidence
However, since a few years, new data-analysis techniques, such as independent component analysis (ICA), have emerged allowing for identification of coherent patterns of spatially independent, temporally correlated signal fluctuations in neuroimaging data during “resting-state”, that is, without a predefined task. These patterns have since been termed “resting-state networks” (RSNs) (Greicius et al. 2004 ) and represent functionally relevant and connected networks or systems supporting core perceptual and cognitive processes. — Dijk, Pim van, Physiology, Psychoacoustics and…, 2706
Categorization
- DEFINE: Defines resting-state networks and the ICA technique that identifies them.
- corroborated: 2 independent passages support this claim — Dijk, Pim van, Physiology, Psychoacoustics and…, 2706
- XREF: connects to: Resting-state fMRI reveals connectivity differences in numerous brain regions in tinnitus. — Dijk, Pim van, Physiology, Psychoacoustics and…, 2707; Task-subtraction fMRI paradigms cancel out tinnitus-related brain activity — Dijk, Pim van, Physiology, Psychoacoustics and…, 2747; Task-related fMRI subtraction can erase the very activity it aims to measure.
Broader Connections
- Resting-state fMRI reveals connectivity differences in numerous brain regions in tinnitus.
#exemplifies(0.85) — Dijk, Pim van, Physiology, Psychoacoustics and…, 2707 - Task-subtraction fMRI paradigms cancel out tinnitus-related brain activity
#contradicts(0.80) — Dijk, Pim van, Physiology, Psychoacoustics and…, 2747 - Task-related fMRI subtraction can erase the very activity it aims to measure.
#complicates(0.80)