A resting-state network for novelty: Similar involvement of a global network under rest and task conditions

Adam John Privitera (Corresponding Author), Rui Sun, Akaysha C. Tang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Neuroimaging research provides converging evidence in support of functional networks active under rest conditions. While these networks are typically locally-distributed, a globally-distributed resting-state network (gRSN) was recently identified. The gRSN component is characterized by a scalp topography similar to that of the widely-studied P3 component of the event related potential, thought to represent the brain's response to novelty. In this study, we investigate similarities between the neural generators underlying these two networks to test the hypothesis that the gRSN is a resting-state network for novelty. By using the second-order blind identification (SOBI) algorithm, which works with temporal information, we show that (1) a resting-state component resembling the topography of the P3 can be recovered in all participants; (2) this gRSN component can be modeled with a set of ECDs with high goodness of fit; (3) ECD locations of the gRSN correspond to a network of globally-distributed brain structures overlapping heavily with the networking underlying the P3; and, (4) structures underlying these two networks are similarly involved during task and resting-state conditions. We interpret this as evidence in support of a resting-state network for detection and response to novelty.

Original languageEnglish
Article number111488
JournalPsychiatry Research - Neuroimaging
Volume323
DOIs
Publication statusPublished - Jul 2022
Externally publishedYes

Keywords

  • EEG source imaging
  • gRSN
  • P3
  • SOBI
  • Source localization

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'A resting-state network for novelty: Similar involvement of a global network under rest and task conditions'. Together they form a unique fingerprint.

Cite this