TY - JOUR
T1 - Emotion perception and electrophysiological correlates in Huntington's disease
AU - Croft, Rodney James
AU - McKernan, Fiona
AU - Gray, Marcus
AU - Churchyard, Andrew J
AU - Georgiou-Karistianis, Nellie
PY - 2014
Y1 - 2014
N2 - This study aimed to characterise, emotion perception deficits in symptomatic Huntington s disease (HD) via the use of event-related potentials (ERPs). Methods: ERP data were recorded during a computerised facial expression task in 11 HD participants and 11 matched controls. Expression (scrambled, neutral, happy, angry, disgust) classification accuracy and intensity were assessed. Relationships between ERP indices and clinical disease characteristics were also examined. Results: Accuracy was significantly lower for HD relative to controls, due to reduced performance for neutral, angry and disgust (but not happy) faces. Intensity ratings did not differ between groups. HD participants displayed significantly reduced visual processing amplitudes extending across pre-face (P100) and face-specific (N170) processing periods, whereas subsequent emotion processing amplitudes (N250) were similar across groups. Face-specific and emotion-specific derivations of the N170 and N250 ( neutral minus scrambled and each emotion minus neutral , respectively) did not differ between groups. Conclusions: Our data suggest that the facial emotion recognition performance deficits in HD are primarily related to neural degeneration underlying generalised visual processing, rather than face or emotional specific processing. Significance: ERPs are a useful tool to separate functionally discreet impairments in HD, and provide an important avenue for biomarker application that could more-selectively track disease progression.
AB - This study aimed to characterise, emotion perception deficits in symptomatic Huntington s disease (HD) via the use of event-related potentials (ERPs). Methods: ERP data were recorded during a computerised facial expression task in 11 HD participants and 11 matched controls. Expression (scrambled, neutral, happy, angry, disgust) classification accuracy and intensity were assessed. Relationships between ERP indices and clinical disease characteristics were also examined. Results: Accuracy was significantly lower for HD relative to controls, due to reduced performance for neutral, angry and disgust (but not happy) faces. Intensity ratings did not differ between groups. HD participants displayed significantly reduced visual processing amplitudes extending across pre-face (P100) and face-specific (N170) processing periods, whereas subsequent emotion processing amplitudes (N250) were similar across groups. Face-specific and emotion-specific derivations of the N170 and N250 ( neutral minus scrambled and each emotion minus neutral , respectively) did not differ between groups. Conclusions: Our data suggest that the facial emotion recognition performance deficits in HD are primarily related to neural degeneration underlying generalised visual processing, rather than face or emotional specific processing. Significance: ERPs are a useful tool to separate functionally discreet impairments in HD, and provide an important avenue for biomarker application that could more-selectively track disease progression.
UR - http://www.sciencedirect.com/science/article/pii/S1388245714000066
U2 - 10.1016/j.clinph.2013.12.111
DO - 10.1016/j.clinph.2013.12.111
M3 - Article
SN - 1388-2457
VL - 125
SP - 1618
EP - 1625
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
IS - 8
ER -