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Functional Connectivity is Reduced in Early-stage Primary Progressive Aphasia When Atrophy is not Prominent

  • Borna Bonakdarpour
  • , Emily J. Rogalski
  • , Allan Wang
  • , Jaiashre Sridhar
  • , M. M. Mesulam
  • , Robert S Hurley
  • Northwestern University Feinberg School of Medicine

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Primary progressive aphasia (PPA) is a clinical syndrome of language decline caused by neurodegenerative pathology. Although language impairments in PPA are typically localized via the morphometric assessment of atrophy, functional changes may accompany or even precede detectable structural alterations, in which case resting state functional connectivity (RSFC) could provide an alternative approach. The goal of this study was to determine whether language network RSFC is reduced in early-stage PPA when atrophy is not prominent. We identified 10 individuals with early-stage agrammatic variant of PPA with no prominent cortical thinning compared with nonaphasic controls. RSFC between 2 nodes of the language network and 2 nodes of the default mode network were compared between agrammatic variant of PPA and healthy control participants. Language network connectivity was comparable with controls among patients with milder agrammatism, but was significantly reduced in patients with more pronounced agrammatism. No group differences were observed in default mode network connectivity, demonstrating specificity of findings. In early stages of PPA when cortical atrophy is not prominent, RSFC provides an alternative method for probing the neuroanatomic substrates of language impairment. RSFC may be of particular utility in studies on early interventions for neurodegenerative disease, either to identify anatomic targets for intervention or as an outcome measure of therapeutic efficacy.
Original languageEnglish
Pages (from-to)101-106
Number of pages6
JournalAlzheimer Disease and Associated Disorders
Volume31
Issue number2
DOIs
StatePublished - May 1 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • biomarkers
  • cognition
  • dementia
  • dementing disorders
  • functional MRI
  • functional neuroimaging
  • physiology and pharmacology
  • volumetric MRI

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