Brain Network Analysis of EEG Recordings Can Be Used to Assess Cognitive Function in Teenagers With 15q13.3 Microdeletion Syndrome

Tehila Stern, Emeline H. Crutcher, John M. McCarthy, May A. Ali, Gil Issachar, Amir Geva, Ziv Peremen, Christian P. Schaaf

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

15q13.3 microdeletion syndrome causes a spectrum of cognitive disorders, including intellectual disability and autism. We assessed the ability of the EEG analysis algorithm Brain Network Analysis (BNA) to measure cognitive function in 15q13.3 deletion patients, and to differentiate between patient and control groups. EEG data was collected from 10 individuals with 15q13.3 microdeletion syndrome (14–18 years of age), as well as 30 age-matched healthy controls, as the subjects responded to Auditory Oddball (AOB) and Go/NoGo cognitive tasks. It was determined that BNA can be used to evaluate cognitive function in 15q13.3 microdeletion patients. This analysis also significantly differentiates between patient and control groups using 5 scores, all of which are produced from ERP peaks related to late cortical components that represent higher cognitive functions of attention allocation and response inhibition (P < 0.05).

Original languageEnglish
Article number622329
JournalFrontiers in Neuroscience
Volume15
DOIs
StatePublished - 28 Jan 2021

Keywords

  • 15q13.3
  • CHRNA7
  • EEG
  • ERP
  • Go/No-Go
  • auditory oddball
  • brain network analytics
  • microdeletion

ASJC Scopus subject areas

  • Neuroscience (all)

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