The interpretation of dysprosody in patients with Parkinson's disease.

Caekebeke, J.F.V.; Jennekens‐Schinkel, A.; Linden, Maurice E.; Buruma, O. J. S.; Roos, R. A. C.

doi:10.1136/jnnp.54.2.145

Cited by 70 publications

(41 citation statements)

References 12 publications

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“…Indeed, about 30% of the reviewed studies did not examine its effect on the recognition of specific emotions but calculated an overall score encompassing all the displayed emotions 4, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29. Moreover, authors did not manipulate the same set of stimuli, and some only used a small subset 23, 30, 31, 32, 33, 34, 35.…”

Section: Facial Emotion Recognition In Pdmentioning

confidence: 99%

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

et al. 2018

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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.

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Section: Facial Emotion Recognition In Pdmentioning

confidence: 99%

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

et al. 2018

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“…A commonly drawn inference is that the emotion recognition deficit experienced by individuals with PD is likely to be cross-modal (Peron et al, 2010), yet only a small number of studies have examined emotion recognition performance in both facial and prosodic modalities with same Emotional state classification in PD 4 participants. A number of these report found deficits in both modalities (Ariatti et al, 2008;Yip et al, 2003), whereas others found problems in only one modality (facial, Pell and Leonard, 2003); prosody, Pell and Leonard, 2005), and at least one failed to find deficits in recognition in either modality (Caekebeke et al, 1991).…”

Section: Introductionmentioning

confidence: 96%

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

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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.

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“…Speech disorder can be frequent as 89% in PD and often impacts on quality of life (Aronson 1990). Impairment of emotional prosody has been suggested to be present in PD patients (Borod et al 1990;Caekebeke et al 1991;Pell 1996).…”

Section: Introductionmentioning

confidence: 99%

Did depressive symptoms affect recognition of emotional prosody in Parkinson’s disease?

Feijó

Rieder²,

Chaves

2008

NDT

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Objective: Evaluate the infl uence of depressive symptoms on the recognition of emotional prosody in Parkinson's disease (PD) patients, and identify types of emotion on spoken sentences. Methods: Thirty-fi ve PD patients and 65 normal participants were studied. Dementia was checked with the Mini Mental State Examination, Clinical Dementia Rating scale, and DSM IV.Recognition of emotional prosody was tested by asking subjects to listen to 12 recorded statements with neutral affective content that were read with a strong affective expression. Subjects had to recognize the correct emotion by one of four descriptors (angry, sad, cheerful, and neutral). The Beck Depression Inventory (BDI) was employed to rate depressive symptoms with the cutoff 14. Results: Total ratings of emotions correctly recognized by participants below and above the BDI cutoff were similar among PD patients and normal individuals. PD patients who correctly identifi ed neutral and anger infl ections presented higher rates of depressive symptoms (p = 0.011 and 0.044, respectively). No signifi cant differences were observed in the normal group. Conclusions: Depression may modify some modalities of emotional prosody perception in PD, by increasing the perception of non-pleasant emotions or lack of affection, such as anger or indifference.

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The interpretation of dysprosody in patients with Parkinson's disease.

Cited by 70 publications

References 12 publications

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

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

Did depressive symptoms affect recognition of emotional prosody in Parkinson’s disease?

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The interpretation of dysprosody in patients with Parkinson's disease.

Cited by 70 publications

References 12 publications

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

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

Did depressive symptoms affect recognition of emotional prosody in Parkinson&rsquo;s disease?

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Product

Resources

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Did depressive symptoms affect recognition of emotional prosody in Parkinson’s disease?