Brain activity during rest is characterized by neural fluctuations with consistent spatial or spectro-temporal features. Neural signals from functional MRI are topologically organized as discrete functional connectivity networks called resting-state networks covering different neurological and psychiatric domains. The anatomical layout of the resting-state networks results from the intrinsic spatio-temporal modes of neural data (distributed networks) or brain parcellations of normative atlases (connectome). Number, extension, topology and static and dynamic features of the resting-state networks depend on the acquisition and analysis scale. The integrity of resting-state networks has been studied in healthy and pathological human subjects, under normal and modified conditions.
Resting-state networks
Esposito, Fabrizio
2024
Abstract
Brain activity during rest is characterized by neural fluctuations with consistent spatial or spectro-temporal features. Neural signals from functional MRI are topologically organized as discrete functional connectivity networks called resting-state networks covering different neurological and psychiatric domains. The anatomical layout of the resting-state networks results from the intrinsic spatio-temporal modes of neural data (distributed networks) or brain parcellations of normative atlases (connectome). Number, extension, topology and static and dynamic features of the resting-state networks depend on the acquisition and analysis scale. The integrity of resting-state networks has been studied in healthy and pathological human subjects, under normal and modified conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


