Impaired Perception of Affective Prosody in Schizophrenia

Bozikas, Vasilis P.; Kosmidis, Mary H.; Anezoulaki, Dimitra; Giannakou, Maria; Andreou, Christina; Karavatos, Athanasios

doi:10.1176/jnp.18.1.81

Cited by 73 publications

(62 citation statements)

References 31 publications

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“…Unlike a previous study on the recognition of emotional prosody (Bozikas et al 2006), we found no association of any of the performance measures with gender.…”

Section: Association Of Emotional Prosody Identification With Other Pcontrasting

confidence: 99%

“…speech melody) is another important source for nonverbal emotional communication. Several studies have addressed deficits in schizophrenia in order to identify emotional prosody using different kinds of stimuli (Edwards et al 2001(Edwards et al , 2002Kucharska-Pietura et al 2005 ;Leitman et al 2005 ;Bozikas et al 2006 ;Matsumoto et al 2006). These studies found evidence for impaired recognition in acute and chronic schizophrenia.…”

Section: Introductionmentioning

confidence: 99%

“…These studies found evidence for impaired recognition in acute and chronic schizophrenia. Deficits in emotional prosody identification have been linked to impaired performance in basic auditory perception (Leitman et al 2005(Leitman et al , 2007Matsumoto et al 2006), negative symptoms (Bozikas et al 2004), illness duration (Kucharska-Pietura et al 2005) and male gender (Bozikas et al 2006). Differences between paranoid and non-paranoid schizophrenia have been reported equivocally (Edwards et al 2002), although, as in research on facial expression, most studies did not report schizophrenia subtypes.…”

Section: Introductionmentioning

confidence: 99%

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The influence of emotion clarity on emotional prosody identification in paranoid schizophrenia

et al. 2008

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Background. Identification of emotional facial expression and emotional prosody (i.e. speech melody) is often impaired in schizophrenia. For facial emotion identification, a recent study suggested that the relative deficit in schizophrenia is enhanced when the presented emotion is easier to recognize. It is unclear whether this effect is specific to face processing or part of a more general emotion recognition deficit.Method. We used clarity-graded emotional prosodic stimuli without semantic content, and tested 25 in-patients with paranoid schizophrenia, 25 healthy control participants and 25 depressive in-patients on emotional prosody identification. Facial expression identification was used as a control task.Results. Patients with paranoid schizophrenia performed worse than both control groups in identifying emotional prosody, with no specific deficit in any individual emotion category. This deficit was present in high-clarity but not in low-clarity stimuli. Performance in facial control tasks was also impaired, with identification of emotional facial expression being a better predictor of emotional prosody identification than illness-related factors. Of those, negative symptoms emerged as the best predictor for emotional prosody identification.Conclusions. This study suggests a general deficit in identifying high-clarity emotional cues. This finding is in line with the hypothesis that schizophrenia is characterized by high noise in internal representations and by increased fluctuations in cerebral networks.

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“…Unlike a previous study on the recognition of emotional prosody (Bozikas et al 2006), we found no association of any of the performance measures with gender.…”

Section: Association Of Emotional Prosody Identification With Other Pcontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The influence of emotion clarity on emotional prosody identification in paranoid schizophrenia

et al. 2008

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“…Comprehension of emotional prosody is crucial for social functioning [28] and compromised in various psychiatric disorders, including schizophrenia (deficits for anger and sadness), [29], bipolar affective disorder (deficits for fear and surprise) [30], and depression (deficits for surprise) [31]. Future research might apply an approach similar to ours to clarify whether these deficits are paralleled by activity changes blurring emotions at the level of the AC or are due to disrupted patterns within frontal regions [32,33] reflecting biased interpretation of emotional signals.…”

Section: Resultsmentioning

confidence: 99%

Decoding of emotional information in voice-sensitive cortices

Ethofer¹,

Ville²,

Scherer³

et al. 2009

NeuroImage

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SummaryThe ability to correctly interpret emotional signals from others is crucial for successful social interaction. Previous neuroimaging studies showed that voice-sensitive auditory areas [1][2][3] activate to a broad spectrum of vocally expressed emotions more than to neutral speech melody (prosody). However, this enhanced response occurs irrespective of the specific emotion category, making it impossible to distinguish different vocal emotions with conventional analyses [4][5][6][7][8]. Here, we presented pseudowords spoken in five prosodic categories (anger, sadness, neutral, relief, joy) during event-related functional magnetic resonance imaging (fMRI), then employed multivariate pattern analysis [9,10] to discriminate between these categories on the basis of the spatial response pattern within the auditory cortex. Our results demonstrate successful decoding of vocal emotions from fMRI responses in bilateral voicesensitive areas, which could not be obtained by using averaged response amplitudes only. Pairwise comparisons showed that each category could be classified against all other alternatives, indicating for each emotion a specific spatial signature that generalized across speakers. These results demonstrate for the first time that emotional information is represented by distinct spatial patterns that can be decoded from brain activity in modality-specific cortical areas. Results and DiscussionWe tested whether emotions expressed by speech melody (prosody) can be decoded from neural activity in voice-sensitive regions [1,3] of the human auditory cortex (AC). To this aim, we used functional magnetic resonance imaging (fMRI) and multivariate pattern analysis (MVPA [9,10]) based on a linear support vector machine (SVM) to determine whether the spatial response distribution in voice-sensitive regions encodes distinctive features of vocal emotions. This methodology exploits distributed information in activation patterns, as opposed to conventional approaches that are based on differences obtained at each voxel in isolation. MVPA has been successfully used to distinguish speech content and speaker identity [11]. However, it is unknown whether vocal emotions are likewise spatially encoded and whether it is possible to decrypt this code with MVPA.Previous fMRI studies relying on standard data analyses have shown that the middle part of the superior temporal gyrus (STG) reacts more strongly to various vocal emotions [4][5][6][7][8] than to neutral prosody. However, because the increase is similar for all emotions, particular emotional categories could not be distinguished by conventional approaches. Similarly, electrophysiological findings [12] demonstrated that early event-related potentials differ between emotional and neutral prosody but failed to identify differences between emotions. These findings suggest that processing of emotional voices within the AC might primarily reflect a discrimination between emotional and neutral stimuli only, whereas categorization of emotions might occur at later stages; e.g...

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“…In addition, some literature suggests that antipsychotics may impact the variables studied here, although the direct influence is uncertain. 137 It should be noted that this sample is in rehabilitation and is largely made up of medication users. In addition, the relationships between motivation scores and role functioning scores may be inflated because they are rated during the same interview, although raters are trained to avoid these problems.…”

Section: Discussionmentioning

confidence: 99%

The Prospective Relationships Among Intrinsic Motivation, Neurocognition, and Psychosocial Functioning in Schizophrenia

Nakagami¹,

Hoe²,

Brekke³

2010

Schizophrenia Bulletin

109

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To address significant gaps in our understanding about how neurocognition, intrinsic motivation (IM), and psychosocial functioning are interrelated in schizophrenia, this study investigated the following questions: Is IM stable or dynamic over time? Does neurocognition predict change in IM over time? What is the association between change in neurocognition, change in IM, and change in psychosocial functioning? Finally, what is the causal structure of the relationships among neurocognition, IM, and psychosocial functioning over time? One hundred and thirty individuals diagnosed with schizophrenia or schizoaffective disorder were recruited from 4 community-based psychosocial rehabilitation programs in urban Los Angeles. Measures of neurocognition were taken at baseline and 12 months. Measures of IM, psychosocial functioning, and symptoms were taken at baseline, 6, and 12 months. Results of latent growth curve modeling analyses demonstrated that IM is dynamic over time. Baseline neurocognition was associated with the initial level of IM but did not predict the rate of change in motivation. However, baseline levels of IM predicted rates of subsequent improvement in neurocognition. Change in IM was strongly associated with change in psychosocial functioning, and change in neurocognition was associated with change in psychosocial functioning, but change in IM was not associated with change in neurocognition. Latent difference score analyses revealed that neurocognition caused changes in psychosocial functioning, and psychosocial functioning caused changes in IM. These findings improve our fundamental understanding of the relationships among these variables and contribute to intervention development for improving outcomes in schizophrenia.Key words: intrinsic motivation/neurocognition/ schizophrenia/psychosocial functioning/outcome/ rehabilitation IntroductionRecent studies indicate that neurocognition and intrinsic motivation (IM) have significant functional consequences for individuals with schizophrenia.1-8 Substantial research links aspects of neurocognition to functional outcomes in work, social, and independent living domains (for review, see Green et al ) and functional improvement during rehabilitation. 2,4,5 There is newer but also growing literature linking intrinsic and extrinsic motivation separately to functional outcomes and treatment responsiveness (eg, Choi and Medalia 6). There is also recent evidence that IM mediates the relationship between neurocognition and functional outcomes. 7,8 While knowledge is growing in this area, we lack a fundamental understanding of how these variables are interrelated. A prospective approach is essential to better understand the relationships among neurocognition, IM, and functional outcomes in schizophrenia. Longitudinal multiwave data will allow for an examination of the relationships among change in these variables over time as well as for modeling the causal relationships among them. This will contribute to understanding the relationships among these variables, as w...

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Impaired Perception of Affective Prosody in Schizophrenia

Cited by 73 publications

References 31 publications

The influence of emotion clarity on emotional prosody identification in paranoid schizophrenia

The influence of emotion clarity on emotional prosody identification in paranoid schizophrenia

Decoding of emotional information in voice-sensitive cortices

The Prospective Relationships Among Intrinsic Motivation, Neurocognition, and Psychosocial Functioning in Schizophrenia

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