Functional deficit of the medial prefrontal cortex during emotional sentence attribution in schizophrenia
Introduction
In the last decade a growing body of research demonstrated deficits in social information processing in schizophrenia (Pinkham et al., 2003, Brunet-Gouet and Decety, 2006, Green et al., 2008, Wible, 2012, Green et al., 2015), contributing to impaired verbal communication and social interactions. The mental operations underlying social interactions include processes involved in perceiving, interpreting, and generating responses to the intentions and emotions of other persons (Adolphs, 2003). One of the key aspects of successful social interactions lies in the capacity to accurately recognise the often-subtle emotional cues that are expressed during conversations. Speech can convey emotions through different channels: linguistic and pragmatic information. Linguistic processing involves the semantic integration of words and sentences in order to reconstruct a coherent message, and also relies on phonological and syntactic analysis. The pragmatic information concerns the processing of gestures, facial expressions, and emotional prosody (the melody of speech) that accompanies the oral expression of language. Moreover, schizophrenia is characterized by both emotional and language abnormalities.
Functional brain imaging researches on emotional processing in schizophrenia have already been investigated, with a majority of experiments using basic facial emotion recognition paradigms. Compared with healthy controls, patients had difficulties with emotion perception and showed lower activation in the bilateral amygdala, parahippocampal gyrus and fusiform gyrus, right superior frontal gyrus and right lentiform nucleus (Hempel et al., 2003, Holt et al., 2005, Das et al., 2007, Gur et al., 2007, Li et al., 2010, Satterthwaite et al., 2010, Anticevic et al., 2012). Facial emotion perception is an important domain of social cognition (Green et al., 2005) and impairment in perceiving facial emotion contributes to problems in interpersonal relationships among patients with schizophrenia (Poole et al., 2000). Besides, another research focused on speech prosody recognition (Grandjean et al., 2006). Patients with schizophrenia are often impaired in their capacity to extract non-verbal emotional information from language (Bach et al., 2009b, Bach et al., 2009a, Edwards et al., 2002, Kucharska-Pietura et al., 2005, Leitman et al., 2005, Mitchell et al., 2004, Brazo et al., 2014).
However few studies have investigated the neural bases of emotion recognition during emotional speech attribution in schizophrenia (Mitchell et al., 2004, Regenbogen et al., 2015). Mitchell et al. (2004) demonstrated that patients with schizophrenia activated the left insula to a greater extent than did healthy controls during a sentence auditory task of attending to emotional prosody. The other functional study evaluated the neural responses of emotional expression using video clips and showed aberrant activation in regions implicated in semantic processing in schizophrenia patients during the neutral speech content (Regenbogen et al., 2015). These studies suggested abnormal neural patterns of language areas during emotional speech and need further investigations.
Besides emotional processing abnormalities, disturbance of language processes has long been reported in schizophrenia. Functional brain imaging studies have demonstrated reduced left and increased right prefrontal cortex (PFC) activation during language tasks in schizophrenia patients, relative to healthy controls (Kircher et al., 2002, Boksman et al., 2005, Dollfus et al., 2005, Dollfus et al., 2008) though some have demonstrated only increased right hemisphere activation with no difference in the activation of the left hemisphere (Sommer et al., 2001). Abnormalities were also found in the brain network involved in semantic processing (Kubicki et al., 2003). These semantic processing deficits do not seem to be dependent on grammatical category of a word, such as nouns, verbs, or adjectives (Rossell and Batty, 2008). However, it is less clear how individuals with schizophrenia process verbal material with emotional valence.
Moreover, abundant research has shown that patients with schizophrenia have specific difficulty in inferring what others intend, think, or pretend (Green et al., 2008) and this theory of mind (ToM) impairment probably influences the way schizophrenia patients use language and interpret speech (Brune, 2005). Functional brain imaging research on ToM abilities evidenced lower activation in patients with schizophrenia localized in the cingulate and insular cortex, in the medial PFC (mPFC), and in the left middle/inferior frontal gyrus (Russell et al., 2000, Brunet et al., 2003, Lee et al., 2006). The relationship between emotion processing and ToM has recently been investigated, with some data indicating that these are closely interrelated phenomena (Ochsner, 2008). Decoding of emotions during language communication is thus intermingled with ToM processing.
In this study, the neural bases of emotional sentence attribution were assessed in schizophrenia patients. An auditory task, which has already been validated in healthy volunteers (Hervé et al., 2012), investigated the functional network of emotional processing including verbal information and mental state inference. We hypothesized a functional deficit in a key region, the median prefrontal cortex (mPFC), involved in multiple cognitive processes such as language comprehension, emotion and ToM (Hervé et al., 2012, Beaucousin et al., 2007), in patients with schizophrenia compared to healthy controls during the emotional sentence attribution.
Section snippets
Subjects
Twenty-one schizophrenia patients, and 25 healthy control subjects, all right-handed were included. Patients were diagnosed with schizophrenia using the DSM-IV criteria established by the MINI PLUS (Sheehan et al., 1998). Demographic and clinical characteristics of the sample are listed in Table 1. Patients and controls presented similar age (Wilcoxon test: p = 0.67), gender (CHI2 test: p = 0.99), education level (CHI2 test: p = 0.54), and handedness scores (Wilcoxon test: p = 0.89). The mean of the
Behavioral data
Performance and response times are summarized in Table 2. For both tasks and both groups, accuracy was very high with a ceiling effect.
The RT of correct responses was significantly higher during EMO as compared to GRAM (mean RT during EMO: 868 ms, standard deviation: 334 ms; mean RT during GRAM: 716 ms, standard deviation: 257 ms; p < 0.0001). A significant interaction between task and group was found showing longer response times in patients as compared to controls only during the EMO task (Table 2,
Discussion
To our knowledge, this study is the first to have investigated the neural bases of emotional sentence attribution in patients with schizophrenia. First, patients displayed lesser activation than controls in the medial prefrontal cortex (mPFC) during emotional speech attribution. Second, mPFC activation was negatively correlated with response times during the emotional task in all participants. Third, compared with controls, patients showed reduction of activation in bilateral auditory areas
Funding
This work was supported by the National Research Agency (“Agence Nationale pour la Recherche” ANR-05-NEUR-034, France).
Contributors
Nathalie Tzourio-Mazoyer designed the study and wrote the protocol for healthy subjects. Sonia Dollfus and Perrine Brazo adapted this protocol for schizophrenia patients, included and evaluated all the patients. Annick Razafimandimby, Pierre-Yves Hervé and Vincent Marzloff managed the literature searches and analyses. Annick Razafimandimby, Pierre-Yves Hervé and Vincent Marzloff undertook the statistical analysis, and Annick Razafimandimby wrote the first draft of the manuscript. All authors
Conflict of interest
The authors have declared that there are no conflicts of interest in relation to the subject of this study.
Acknowledgements
The authors thank Guy Perchey, Elise Leroux, Virginie Beaucousin, Emmanuel Mellet and Bernard Mazoyer for MRI data acquisition, as well as Mathieu Vigneau and Nicolas Delcroix for their assistance with the analyses.
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