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Emotion Evaluation and Social Inference Impairments in Huntington’s Disease

Overview of attention for article published in Journal of Huntington's Disease, May 2016
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Article details
Title
Emotion Evaluation and Social Inference Impairments in Huntington’s Disease
Published in
Journal of Huntington's Disease, May 2016
DOI 10.3233/jhd-160190
Pubmed ID
Authors
Abstract

Huntington's disease (HD) is an inherited neurodegenerative disorder characterised by motor, cognitive and neuropsychiatric symptoms. Recent research has established that individuals with HD display reduced discrimination of emotional facial expressions and impaired higher-order social cognitive skills, including 'theory of mind'. This study aimed to further characterise the emotion evaluation and theory of mind deficits in HD in an ecologically-valid context, and determine their impact on socially-relevant functional abilities. A sample of 17 HD participants and 24 healthy controls were assessed using The Awareness of Social Inference Test (TASIT), together with additional self- and informant rated measures of cognition, social communication, empathy and neuropsychiatric symptoms. Participants with HD showed significant difficulties in evaluating negative emotions, and understanding sincere, sarcastic and 'paradoxical sarcastic' statements, compared with controls. The ability to evaluate positive emotions was negatively correlated with behavioural problems, but no other clinical, behavioural or communication measures correlated significantly with TASIT subscales. These findings suggest that social cognitive difficulties in symptomatic HD may be underpinned by more generalised impairments, related to deciphering social exchanges, as opposed to a selective theory of mind deficit. Such difficulties have the potential to place significant strain on interpersonal relationships, and thus warrant thorough clinical assessment, using ecologically-valid tools, to promote early detection and development of person-centred interventions.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 17 20%
Student > Ph. D. Student 15 17%
Researcher 11 13%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 7 8%
Unknown 24 28%
Readers by discipline
Readers by discipline Count As %
Psychology 26 30%
Medicine and Dentistry 8 9%
Social Sciences 7 8%
Neuroscience 6 7%
Nursing and Health Professions 5 6%
Other 7 8%
Unknown 28 32%