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

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

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

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

Fingerprint

Frontotemporal Dementia
Language
Caregivers
Neuropsychological Tests
Brain
Neurodegenerative Diseases
Self Report
Demography

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

Cite this

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title = "Assessment of patient self-awareness and related neural correlates in frontotemporal dementia and corticobasal syndrome",
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.",
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author = "Sarah Levy and David Gansler and Edward Huey and Eric Wassermann and Grafman, {Jordan Henry}",
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Assessment of patient self-awareness and related neural correlates in frontotemporal dementia and corticobasal syndrome. / Levy, Sarah; Gansler, David; Huey, Edward; Wassermann, Eric; Grafman, Jordan Henry.

In: Archives of Clinical Neuropsychology, Vol. 33, No. 5, 01.01.2018, p. 519-529.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Assessment of patient self-awareness and related neural correlates in frontotemporal dementia and corticobasal syndrome

AU - Levy, Sarah

AU - Gansler, David

AU - Huey, Edward

AU - Wassermann, Eric

AU - Grafman, Jordan Henry

PY - 2018/1/1

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N2 - 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.

AB - 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.

KW - Best subset regression

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KW - Magnetic resonance imaging

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KW - Orbitofrontal cortex

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