Specific impairments in the recognition of emotional facial expressions in Parkinson's disease

Clark, Uraina S.; Neargarder, Sandy; Cronin‐Golomb, Alice

doi:10.1016/j.neuropsychologia.2008.03.014

Cited by 150 publications

(186 citation statements)

References 92 publications

Supporting

Mentioning

164

Contrasting

Unclassified

Order By: Relevance

“…Thy1-aSyn mice show an agedependent deficit in this task, as well as in fear conditioning, likely to be due to the expression of a-synuclein aggregates in the amygdala (Freichel et al 2007), a brain area known to mediate emotional processes. These data are in line with the presence of Lewy bodies and Lewy neurite deposits in the amygdala of PD patients (Braak et al 1994), as well as the selective impairment in the recognition of facial emotion (Clark et al 2008) and blunted reactivity during aversive/unpleasant events observed in these patients (Bowers et al 2006).…”

Section: -Ohda-and Mptp-based Rodent Modelssupporting

confidence: 83%

Understanding cognitive deficits in Parkinson’s disease: lessons from preclinical animal models

et al. 2013

View full text Add to dashboard Cite

Parkinson's disease (PD) has been, until recently, mainly defined by the presence of characteristic motor symptoms, such as rigidity, tremor, bradykinesia/akinesia, and postural instability. Accordingly, pharmacological and surgical treatments have so far addressed these motor disturbances, leaving nonmotor, cognitive deficits an unmet clinical condition. At the preclinical level, the large majority of studies aiming at defining mechanisms and testing novel therapies have similarly focused on the motor aspects of PD. Unfortunately, deterioration of the executive functions, such as attention, recognition, working memory, and problem solving, often appear in an early, premotor phase of the disease and progressively increase in intensity, negatively affecting the quality of life of 50% -60% of PD patients. At present, the cellular mechanisms underlying cognitive impairments in PD patients are largely unknown and an adequate treatment is still missing. The preclinical research has recently developed new animal models that may open new perspectives for a more integrated approach to the treatment of both motor and cognitive symptoms of the disease. This review will provide an overview on the cognitive symptoms occurring in early PD patients and then focus on the rodent and nonhuman primate models so far available for the study of discriminative and spatial memory attention and learning abilities related to this pathological condition. Cognitive deficits in Parkinson's diseaseParkinson's disease (PD) is a chronic neurodegenerative disorder affecting over four million people worldwide (Dorsey et al. 2007). It is classically characterized by the emergence of motor symptoms such as rigidity, tremor, postural unbalance, and bradykinesia/akinesia (Braak et al. 2003;Jankovic 2008). However, PD also involves nonmotor symptoms (NMS) (Chaudhuri et al. 2006;Jankovic 2008) that appear in the early, often premotor, phase of the disease (Abbott et al. 2005;Abbott 2007;Claassen et al. 2010) and significantly contribute to the impairment of the quality of life of 50%-60% of PD patients (Aarsland et al. 2012). Among others, NMS include olfactory dysfunction, REM sleep disorder, neuropsychiatric disturbances, and cognitive deficits (Schrag et al. 2004;Chaudhuri and Odin 2010). All these symptoms develop independently from each other in the early phase of the disease, and progressively increase in intensity, often leading to dementia in the late phase (Cools et al. 2001;Goetz et al. 2008).Neuropsychiatric mood-related disorders are rather common in PD (Cummings 1992;Schrag et al. 2004) with a prevalence of 20% (Reijnders et al. 2008), and manifest as apathy, depression, and anxiety.On the other hand, cognitive impairments associated with PD are mainly related to the executive functions, resulting in a phenotype resembling that of frontal lobe patients (Robbins and Arnsten 2009), with deficits in attention (Ballard et al. 2002), planning, concept formation, and working memory (Kehagia et al. 2010). In particular, memory deterioration aff...

show abstract

Section: -Ohda-and Mptp-based Rodent Modelssupporting

confidence: 83%

Understanding cognitive deficits in Parkinson’s disease: lessons from preclinical animal models

et al. 2013

View full text Add to dashboard Cite

show abstract

“…This is congruent with the meta‐analysis by Gray and Tickle‐Degnen 12. Two years earlier, Clark and collaborators13 also underlined the deleterious impact of this deficit on patients' social relationships, highlighting a negative correlation between their FER difficulties and their level of interpersonal distress.…”

Section: Facial Emotion Recognition In Pdsupporting

confidence: 77%

“…Concomitant with depression, apathy and anxiety are also frequent in PD 3, 99. However, these mood disorders have been taken into account less often, although some studies have highlighted their influence on FER (anxiety: Clark et al13 and Ille et al33; apathy: Robert et al100 and Martínez‐Coral et al25). …”

Section: Discrepancies In Resultsmentioning

confidence: 99%

Facial emotion recognition in Parkinson's disease: A review and new hypotheses

et al. 2018

View full text Add to dashboard Cite

Parkinson's disease is a neurodegenerative disorder classically characterized by motor symptoms. Among them, hypomimia affects facial expressiveness and social communication and has a highly negative impact on patients' and relatives' quality of life. Patients also frequently experience nonmotor symptoms, including emotional‐processing impairments, leading to difficulty in recognizing emotions from faces. Aside from its theoretical importance, understanding the disruption of facial emotion recognition in PD is crucial for improving quality of life for both patients and caregivers, as this impairment is associated with heightened interpersonal difficulties. However, studies assessing abilities in recognizing facial emotions in PD still report contradictory outcomes. The origins of this inconsistency are unclear, and several questions (regarding the role of dopamine replacement therapy or the possible consequences of hypomimia) remain unanswered. We therefore undertook a fresh review of relevant articles focusing on facial emotion recognition in PD to deepen current understanding of this nonmotor feature, exploring multiple significant potential confounding factors, both clinical and methodological, and discussing probable pathophysiological mechanisms. This led us to examine recent proposals about the role of basal ganglia‐based circuits in emotion and to consider the involvement of facial mimicry in this deficit from the perspective of embodied simulation theory. We believe our findings will inform clinical practice and increase fundamental knowledge, particularly in relation to potential embodied emotion impairment in PD. © 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

show abstract

“…Evidence indicates the individuals with PD have deficits in recognizing emotions from prosody (Dara et al, 2008;Pell and Leonard, 2003;Yip et al, 2003) and facial expressions (Ariatti et al, 2008;Clark et al, 2008;Dujardin et al, 2004), although not all findings have been consistent. Several studies have failed to find impaired performance in the recognition of facial expressions related to emotion in their PD samples (Adolphs et al, 1998;Pell and Leonard, 2005), whereas others have failed to find deficits in recognition from prosody (Clark et al, 2008;Kan et al, 2002). In a recent meta-analysis of the literature comparing emotional recognition abilities of individuals with PD and healthy controls (HC), Grey and Tickle-Degnen concluded that there is a robust link between PD and deficits in emotion recognition using both voice and faces, with impairments particularly marked with respect to negative emotions (Gray and Tickle-Degnen, 2010).…”

Section: Introductionmentioning

confidence: 99%

Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease

Yuvaraj

Murugappan

Ibrahim

et al. 2014

International Journal of Psychophysiology

View full text Add to dashboard Cite

In addition to classic motor signs and symptoms, individuals with Parkinson's disease (PD) are characterized by emotional deficits. Ongoing brain activity can be recorded as electroencephalograph (EEG) to discover the links between emotional states and brain activity.This study utilized machine-learning algorithms to categorize emotional states in PD patients compared with healthy controls (HC) using EEG. Twenty non-demented PD patients and 20 healthy age-, gender-, and education level-matched controls viewed happiness, sadness, fear, anger, surprise, and disgust emotional stimuli while fourteen-channel EEG was being recorded.Multi-modal stimulus (combination of audio and visual) was used to evoke the emotions. To classify the EEG-based emotional states and visualize the changes of emotional states over time, this paper compares four kinds of EEG features for emotional state classification and proposes an approach to track the trajectory of emotion changes with manifold learning. From the experimental results using our EEG data set, we found that (a) bispectrum feature is superior to other three kinds of features, namely power spectrum, wavelet packet and nonlinear dynamical analysis; (b) higher frequency bands (alpha, beta and gamma) play a more important role in emotion activities than lower frequency bands (delta and theta) in both the groups and; (c) the trajectory of emotion changes can be visualized by reducing subject-independent features with manifold learning. This provides a promising way of implementing visualization of patient's emotional state in real time and leads to a practical system for noninvasive assessment of the emotional impairments associated with neurological disorders.

show abstract

Specific impairments in the recognition of emotional facial expressions in Parkinson's disease

Cited by 150 publications

References 92 publications

Understanding cognitive deficits in Parkinson’s disease: lessons from preclinical animal models

Understanding cognitive deficits in Parkinson’s disease: lessons from preclinical animal models

Facial emotion recognition in Parkinson's disease: A review and new hypotheses

Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease

Contact Info

Product

Resources

About