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.
2024
Esposito, Fabrizio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/582786
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