Determinants of theory of mind performance in Alzheimer's disease: A data-mining study

Whether theory of mind (ToM) is preserved in Alzheimer's disease (AD) remains a controversial subject. Recent studies have showed that performance on some ToM tests might be altered in AD, though to a lesser extent than in behavioural-variant Frontotemporal Dementia (bvFTD). It is however, uncl...

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Veröffentlicht in:Cortex 2017-03, Vol.88, p.8-18
Hauptverfasser: Ramanan, Siddharth, de Souza, Leonardo Cruz, Moreau, Noémie, Sarazin, Marie, Teixeira, Antônio L., Allen, Zoe, Guimarães, Henrique C., Caramelli, Paulo, Dubois, Bruno, Hornberger, Michael, Bertoux, Maxime
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container_issue
container_start_page 8
container_title Cortex
container_volume 88
creator Ramanan, Siddharth
de Souza, Leonardo Cruz
Moreau, Noémie
Sarazin, Marie
Teixeira, Antônio L.
Allen, Zoe
Guimarães, Henrique C.
Caramelli, Paulo
Dubois, Bruno
Hornberger, Michael
Bertoux, Maxime
description Whether theory of mind (ToM) is preserved in Alzheimer's disease (AD) remains a controversial subject. Recent studies have showed that performance on some ToM tests might be altered in AD, though to a lesser extent than in behavioural-variant Frontotemporal Dementia (bvFTD). It is however, unclear if this reflects a genuine impairment of ToM or a deficit secondary to the general cognitive decline observed in AD. Aiming to investigate the cognitive determinants of ToM performance in AD, a data-mining study was conducted in 29 AD patients then replicated in an independent age-matched group of 19 AD patients to perform an independent replication of the results. 44 bvFTD patients were included as a comparison group. All patients had an extensive neuropsychological examination. Hierarchical clustering analyses showed that ToM performance clustered with measures of executive functioning (EF) in AD. ToM performance was also specifically correlated with the executive component extracted from a principal component analysis. In a final step, automated linear modelling conducted to determine the predictors of ToM performance showed that 48.8% of ToM performance was significantly predicted by executive measures. Similar findings across analyses were observed in the independent group of AD patients, thereby replicating our results. Conversely, ToM impairments in bvFTD appeared independent of other cognitive impairments. These results suggest that difficulties of AD patients on ToM tests do not reflect a genuine ToM deficit, rather mediated by general (and particularly executive) cognitive decline. They also suggest that EF has a key role in mental state attribution, which support interacting models of ToM functioning. Finally, our study highlights the relevancy of data-mining statistical approaches in clinical and cognitive neurosciences.
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Recent studies have showed that performance on some ToM tests might be altered in AD, though to a lesser extent than in behavioural-variant Frontotemporal Dementia (bvFTD). It is however, unclear if this reflects a genuine impairment of ToM or a deficit secondary to the general cognitive decline observed in AD. Aiming to investigate the cognitive determinants of ToM performance in AD, a data-mining study was conducted in 29 AD patients then replicated in an independent age-matched group of 19 AD patients to perform an independent replication of the results. 44 bvFTD patients were included as a comparison group. All patients had an extensive neuropsychological examination. Hierarchical clustering analyses showed that ToM performance clustered with measures of executive functioning (EF) in AD. ToM performance was also specifically correlated with the executive component extracted from a principal component analysis. 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subjects Aged
Aged, 80 and over
Alzheimer Disease - psychology
Alzheimer's disease
Behavioral variant frontotemporal dementia
Cognition - physiology
Data driven
Data Mining
Executive Function - physiology
Female
Humans
Male
Memory - physiology
Middle Aged
Neuropsychological Tests
Theory of Mind
title Determinants of theory of mind performance in Alzheimer's disease: A data-mining study
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