Assessment of patient self-awareness and related neural correlates in frontotemporal dementia and corticobasal syndrome

Sarah Levy, David Gansler*, Edward Huey, Eric Wassermann, Jordan Grafman

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Objective: We compared two different methods of assessing self-awareness (clinician-rated vs. self- and caregiver report) in participants with neurodegenerative conditions. Additionally, we examined the contribution of memory dysfunction to assessment of self-awareness. Method: Sixty-seven participants with various neurodegenerative disorders participated in this study. Data were collected on brain volume, neurocognitive function, demographic characteristics, and two measures of patient self-awareness, defined as (1) the discrepancy between patient and caregiver ratings of dysexecutive syndrome and (2) clinician-observed rating of patient insight. Penalized regression with best subset variable selection and 10-fold cross-validation was used to evaluate three neurocognitive frameworks: self-regulation, language, and perspective-taking, each predicting the results from the two methods of self-awareness measurement. Results: The self-regulation framework was more robustly predictive for both the clinician rating and discrepancy method than language or perspective-taking. Frameworks in which the clinician rating was the criterion were more robust than those with the discrepancy method as criterion. When a measure of memory functioning was added to the framework, there was no appreciable improvement in the prediction of self-awareness. Conclusions: A self-regulation neurocognitive framework, consisting of regions of interest and neuropsychological test scores, was more effective in understanding patient self-awareness than perspective-taking or language frameworks. Compared to the discrepancy method, a clinician rating of self-awareness was more robustly associated with relevant clinical variables of regional brain volume and neuropsychological performance, suggesting it may be a useful measure to aid clinical diagnosis.

Original languageEnglish (US)
Pages (from-to)519-529
Number of pages11
JournalArchives of Clinical Neuropsychology
Volume33
Issue number5
DOIs
StatePublished - Jan 1 2018

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Keywords

  • Best subset regression
  • Executive function
  • Magnetic resonance imaging
  • Neurodegenerative disease
  • Orbitofrontal cortex
  • Self-awareness

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Clinical Psychology
  • Psychiatry and Mental health

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