Altered Global Signal Topography in Schizophrenia

  • Genevieve J. Yang
  • , John D. Murray
  • , Matthew Glasser
  • , Godfrey D. Pearlson
  • , John H. Krystal
  • , Charlie Schleifer
  • , Grega Repovs
  • , Alan Anticevic

Research output: Contribution to journalArticlepeer-review

76 Scopus citations

Abstract

Schizophrenia (SCZ) is a disabling neuropsychiatric disease associated with disruptions across distributed neural systems. Resting-state functional magnetic resonance imaging has identified extensive abnormalities in the blood-oxygen level-dependent signal in SCZ patients, including alterations in the average signal over the brain - i.e. The "global" signal (GS). It remains unknown, however, if these "global" alterations occur pervasively or follow a spatially preferential pattern. This study presents the first network-by-network quantification of GS topography in healthy subjects and SCZ patients. We observed a nonuniform GS contribution in healthy comparison subjects, whereby sensory areas exhibited the largest GS component. In SCZ patients, we identified preferential GS representation increases across association regions, while sensory regions showed preferential reductions. GS representation in sensory versus association cortices was strongly anti-correlated in healthy subjects. This anti-correlated relationship was markedly reduced in SCZ. Such shifts in GS topography may underlie profound alterations in neural information flow in SCZ, informing development of pharmacotherapies.

Original languageEnglish
Pages (from-to)5156-5169
Number of pages14
JournalCerebral Cortex
Volume27
Issue number11
DOIs
StatePublished - Nov 1 2017

Keywords

  • association cortex
  • default mode network
  • frontoparietal control network
  • resting state
  • sensory cortex

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