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Martínez A, Gaspar PA, Bermudez DH, Belen Aburto-Ponce M, Beggel O, Javitt DC. Disrupted third visual pathway function in schizophrenia: Evidence from real and implied motion processing. Neuroimage Clin 2024; 41:103570. [PMID: 38309185 PMCID: PMC10847789 DOI: 10.1016/j.nicl.2024.103570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/17/2023] [Accepted: 01/23/2024] [Indexed: 02/05/2024]
Abstract
Impaired motion perception in schizophrenia has been associated with deficits in social-cognitive processes and with reduced activation of visual sensory regions, including the middle temporal area (MT+) and posterior superior temporal sulcus (pSTS). These findings are consistent with the recent proposal of the existence of a specific 'third visual pathway' specialized for social perception in which motion is a fundamental component. The third visual pathway transmits visual information from early sensory visual processing areas to the STS, with MT+ acting as a critical intermediary. We used functional magnetic resonance imaging to investigate functioning of this pathway during processing of naturalistic videos with explicit (real) motion and static images with implied motion cues. These measures were related to face emotion recognition and motion-perception, as measured behaviorally. Participants were 28 individuals with schizophrenia (Sz) and 20 neurotypical controls. Compared to controls, individuals with Sz showed reduced activation of third visual pathway regions (MT+, pSTS) in response to both real- and implied-motion stimuli. Dysfunction of early visual cortex and pulvinar were also associated with aberrant real-motion processing. Implied-motion stimuli additionally engaged a wide network of brain areas including parietal, motor and frontal nodes of the human mirror neuron system. The findings support concepts of MT+ as a mediator between visual sensory areas and higher-order brain and argue for greater focus on MT+ contributions to social-cognitive processing, in addition to its well-documented role in visual motion processing.
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Affiliation(s)
- Antígona Martínez
- Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA.
| | - Pablo A Gaspar
- Department of Psychiatry, Biomedical Neurosciences Institute, IMHAY, University of Chile, Santiago, Chile
| | - Dalton H Bermudez
- Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA
| | - M Belen Aburto-Ponce
- Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA; Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
| | - Odeta Beggel
- Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA.
| | - Daniel C Javitt
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
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Martínez A, Tobe RH, Gaspar PA, Malinsky D, Dias EC, Sehatpour P, Lakatos P, Patel GH, Bermudez DH, Silipo G, Javitt DC. Disease-Specific Contribution of Pulvinar Dysfunction to Impaired Emotion Recognition in Schizophrenia. Front Behav Neurosci 2022; 15:787383. [PMID: 35237135 PMCID: PMC8883821 DOI: 10.3389/fnbeh.2021.787383] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/29/2021] [Indexed: 11/21/2022] Open
Abstract
One important aspect for managing social interactions is the ability to perceive and respond to facial expressions rapidly and accurately. This ability is highly dependent upon intact processing within both cortical and subcortical components of the early visual pathways. Social cognitive deficits, including face emotion recognition (FER) deficits, are characteristic of several neuropsychiatric disorders including schizophrenia (Sz) and autism spectrum disorders (ASD). Here, we investigated potential visual sensory contributions to FER deficits in Sz (n = 28, 8/20 female/male; age 21–54 years) and adult ASD (n = 20, 4/16 female/male; age 19–43 years) participants compared to neurotypical (n = 30, 8/22 female/male; age 19–54 years) controls using task-based fMRI during an implicit static/dynamic FER task. Compared to neurotypical controls, both Sz (d = 1.97) and ASD (d = 1.13) participants had significantly lower FER scores which interrelated with diminished activation of the superior temporal sulcus (STS). In Sz, STS deficits were predicted by reduced activation of early visual regions (d = 0.85, p = 0.002) and of the pulvinar nucleus of the thalamus (d = 0.44, p = 0.042), along with impaired cortico-pulvinar interaction. By contrast, ASD participants showed patterns of increased early visual cortical (d = 1.03, p = 0.001) and pulvinar (d = 0.71, p = 0.015) activation. Large effect-size structural and histological abnormalities of pulvinar have previously been documented in Sz. Moreover, we have recently demonstrated impaired pulvinar activation to simple visual stimuli in Sz. Here, we provide the first demonstration of a disease-specific contribution of impaired pulvinar activation to social cognitive impairment in Sz.
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Affiliation(s)
- Antígona Martínez
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- College of Physicians and Surgeons, Columbia University, New York, NY, United States
- *Correspondence: Antígona Martínez,
| | - Russell H. Tobe
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Pablo A. Gaspar
- Department of Psychiatry, Biomedical Neurosciences Institute, IMHAY, University of Chile, Santiago, Chile
| | - Daniel Malinsky
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Elisa C. Dias
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Pejman Sehatpour
- College of Physicians and Surgeons, Columbia University, New York, NY, United States
- New York State Psychiatric Institute, New York, NY, United States
| | - Peter Lakatos
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Gaurav H. Patel
- College of Physicians and Surgeons, Columbia University, New York, NY, United States
- New York State Psychiatric Institute, New York, NY, United States
| | - Dalton H. Bermudez
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Gail Silipo
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Daniel C. Javitt
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- College of Physicians and Surgeons, Columbia University, New York, NY, United States
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Drucaroff LJ, Fazzito ML, Castro MN, Nemeroff CB, Guinjoan SM, Villarreal MF. Insular functional alterations in emotional processing of schizophrenia patients revealed by Multivariate Pattern Analysis fMRI. J Psychiatr Res 2020; 130:128-136. [PMID: 32818661 DOI: 10.1016/j.jpsychires.2020.06.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/22/2020] [Accepted: 06/24/2020] [Indexed: 11/30/2022]
Abstract
Emotion perception is impaired in schizophrenia patients (SP) and related to reduced social skills performance. There is a remarkable variability across subjects for functional neuroimaging alterations related to this phenomenon. In contrast to the univariate approaches of fMRI, Multivariate Pattern Analysis (MVPA) maintains the within-subject voxel-level variability. The purpose of this study was to assess emotion processing in SP, in previously identified ROIs -i.e. amygdala, hippocampus, insula, and thalamus-, while retaining the functional heterogeneity that may exist between subjects. We evaluated 23 SP and 23 healthy controls (HC). Happy, sad, and neutral faces were presented. A single trial fMRI model was applied. Patterns of activation within each ROI were classified at the subject level. Within each group, stimuli classification scores were tested against random label classification scores. In ROIs with significant results, a whole ROI classification was performed, to test whether en bloc stimuli discrimination was present. A between-group analysis was conducted also. For the classification of stimuli above chance, in the HC results were significant in the left insula in all of the stimuli dichotomies, but were non-significant in SP for happy vs. sad. In whole ROI classification, SP had significant results in bilateral insular cortex for happy vs. neutral. The left amygdala showed diminished stimuli classification scores in SP for sad vs. neutral. In conclusion, MVPA seems useful to study emotional processing in schizophrenia. In SP, either en bloc or no stimuli discrimination was seen in the insula, and reduced stimuli discrimination was seen in the left amygdala.
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Affiliation(s)
- Lucas J Drucaroff
- FLENI-CONICET, Montañeses 2325, C1428AQK, Buenos Aires, Argentina; Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Paraguay 2155, C1121ABG, Buenos Aires, Argentina; Department of Psychiatry, FLENI, Montañeses 2325, C1428AQK, Buenos Aires, Argentina.
| | - Maria Lucia Fazzito
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Paraguay 2155, C1121ABG, Buenos Aires, Argentina; Department of Psychiatry, FLENI, Montañeses 2325, C1428AQK, Buenos Aires, Argentina.
| | - Mariana N Castro
- FLENI-CONICET, Montañeses 2325, C1428AQK, Buenos Aires, Argentina; Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Paraguay 2155, C1121ABG, Buenos Aires, Argentina.
| | - Charles B Nemeroff
- Department of Psychiatry, Dell Medical School, University of Texas at Austin, 1601 Trinity St, Austin, TX, 78712, USA.
| | - Salvador M Guinjoan
- FLENI-CONICET, Montañeses 2325, C1428AQK, Buenos Aires, Argentina; Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Paraguay 2155, C1121ABG, Buenos Aires, Argentina; Department of Psychiatry, FLENI, Montañeses 2325, C1428AQK, Buenos Aires, Argentina.
| | - Mirta F Villarreal
- FLENI-CONICET, Montañeses 2325, C1428AQK, Buenos Aires, Argentina; Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón I, Ciudad Universitaria, 1428, Buenos Aires, Argentina.
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Associations between Facial Emotion Recognition and Mental Health in Early Adolescence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17010330. [PMID: 31947739 PMCID: PMC6981578 DOI: 10.3390/ijerph17010330] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/20/2019] [Accepted: 12/21/2019] [Indexed: 11/17/2022]
Abstract
Research shows that adolescents with mental illnesses have a bias for processing negative facial emotions, and this may play a role in impaired social functioning that often co-exists with a mental health diagnosis. This study examined associations between psychological and somatic problems and facial emotion recognition in early adolescence; as any processing biases in this age-group may be an early indicator of later mental illnesses. A community sample of 40 12-year-olds self-rated their symptoms of anxiety, depression, and somatization via two mental health screeners. They also completed a computerized emotion recognition task in which they identified photographs of 40 faces showing expressions of anger, fear, sadness, happiness, or neutral expression. Results showed that increased symptoms of anxiety, depression, and somatization were significantly associated with fewer correct responses to angry expressions. These symptoms were also associated with faster and more accurate recognition of fearful expressions. However, there was no association between mental health and recognition of sad affect. Finally, increased psychological and/or somatic symptomology was also associated with better identification of neutral expressions. In conclusion, youth with increased psychological and/or somatic problems exhibited a processing bias for negative anger and fear expressions, but not sadness. They showed better processing of neutral faces than youth with fewer psychological and/or somatic problems. Findings are discussed in relation to indicators of mental illnesses in early adolescence and the potential underpinning neural mechanisms associated with mental health and emotional facial recognition.
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Martínez A, Tobe R, Dias EC, Ardekani BA, Veenstra-Vanderweele J, Patel G, Breland M, Lieval A, Silipo G, Javitt DC. Differential Patterns of Visual Sensory Alteration Underlying Face Emotion Recognition Impairment and Motion Perception Deficits in Schizophrenia and Autism Spectrum Disorder. Biol Psychiatry 2019; 86:557-567. [PMID: 31301757 PMCID: PMC7197738 DOI: 10.1016/j.biopsych.2019.05.016] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 05/16/2019] [Accepted: 05/20/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Impaired face emotion recognition (FER) and abnormal motion processing are core features in schizophrenia (SZ) and autism spectrum disorder (ASD) that have been linked to atypical activity within the visual cortex. Despite overlaps, only a few studies have directly explored convergent versus divergent neural mechanisms of altered visual processing in ASD and SZ. We employed a multimodal imaging approach to evaluate FER and motion perception in relation to functioning of subcortical and cortical visual regions. METHODS Subjects were 20 high-functioning adults with ASD, 19 patients with SZ, and 17 control participants. Behavioral measures of coherent motion sensitivity and FER along with electrophysiological and functional magnetic resonance imaging measures of visual pattern and motion processing were obtained. Resting-state functional magnetic resonance imaging was used to assess the relationship between corticocortical and thalamocortical connectivity and atypical visual processing. RESULTS SZ and ASD participants had intercorrelated deficits in FER and motion sensitivity. In both groups, reduced motion sensitivity was associated with reduced functional magnetic resonance imaging activation in the occipitotemporal cortex and lower delta-band electroencephalogram power. In ASD, FER deficits correlated with hyperactivation of dorsal stream regions and increased evoked theta power. Activation of the pulvinar correlated with abnormal alpha-band modulation in SZ and ASD with under- and overmodulation, respectively, predicting increased clinical symptoms in both groups. CONCLUSIONS SZ and ASD participants showed equivalent deficits in FER and motion sensitivity but markedly different profiles of physiological dysfunction. The specific pattern of deficits observed in each group may help guide development of treatments designed to downregulate versus upregulate visual processing within the respective clinical groups.
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Affiliation(s)
- Antígona Martínez
- Schizophrenia Research Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York; Department of Psychiatry, Columbia University Medical Center, New York, New York.
| | - Russell Tobe
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Elisa C. Dias
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Babak A. Ardekani
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | | | - Gaurav Patel
- Department of Psychiatry, Columbia University Medical Center, New York, NY
| | - Melissa Breland
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Alexis Lieval
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Gail Silipo
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Daniel C. Javitt
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA,Department of Psychiatry, Columbia University Medical Center, New York, NY
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Larsen EM, Herrera S, Bilgrami ZR, Shaik RB, Crump F, Sarac C, Shen J, Yang LH, Corcoran CM. Self-stigma related feelings of shame and facial fear recognition in individuals at clinical high risk for psychosis: A brief report. Schizophr Res 2019; 208:483-485. [PMID: 30700396 PMCID: PMC6544472 DOI: 10.1016/j.schres.2019.01.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 01/15/2019] [Accepted: 01/18/2019] [Indexed: 10/27/2022]
Affiliation(s)
- Emmett M. Larsen
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, 10029, USA
| | - Shaynna Herrera
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, 10029, USA; Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peter Veterans Affairs Medical Center, 130 West Kingsbridge Rd, Bronx, NY 10468, USA.
| | - Zarina R. Bilgrami
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, 10029, USA
| | - Riaz B. Shaik
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, 10029, USA
| | - Francesca Crump
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
| | - Cansu Sarac
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, 10029, USA.
| | - Jenny Shen
- City of Hope National Medical Center, Duarte, CA 91010, USA.
| | - Lawrence H. Yang
- New York University College of Public Health, 715 Broadway, New York, NY, 10003, USA,Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY 10032, USA
| | - Cheryl M. Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, 10029, USA,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peter Veterans Affairs Medical Center, 130 West Kingsbridge Rd, Bronx, NY, 10468, USA,New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA
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Martínez A, Gaspar PA, Hillyard SA, Andersen SK, Lopez-Calderon J, Corcoran CM, Javitt DC. Impaired Motion Processing in Schizophrenia and the Attenuated Psychosis Syndrome: Etiological and Clinical Implications. Am J Psychiatry 2018; 175:1243-1254. [PMID: 30278791 PMCID: PMC6408222 DOI: 10.1176/appi.ajp.2018.18010072] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE The ability to perceive the motion of biological objects, such as faces, is a critical component of daily function and correlates with the ability to successfully navigate social situations (social cognition). Deficits in motion perception in schizophrenia were first demonstrated about 20 years ago but remain understudied, especially in the early, potentially prodromal, stages of the illness. The authors examined the neural bases of visual sensory processing impairments, including motion, in patients with schizophrenia (N=63) and attenuated psychosis (clinical high risk) (N=32) compared with age-matched healthy control subjects (N=67). METHOD Electrophysiological recordings during stimulus and motion processing were analyzed using oscillatory (time frequency) approaches that differentiated motion-onset-evoked activity from stimulus-onset sensory-evoked responses. These were compared with functional MRI (fMRI) measures of motion processing. RESULTS Significant deficits in motion processing were observed across the two patient groups, and these deficits predicted impairments in both face-emotion recognition and cognitive function. In contrast to motion processing, sensory-evoked stimulus-onset responses were intact in patients with attenuated psychosis, and, further, the relative deficit in motion-onset responses compared with stimulus-onset responses predicted transition to schizophrenia. In patients with schizophrenia, motion detection deficits mapped to impaired activation in motion-sensitive visual cortex during fMRI. Additional visual impairments in patients with schizophrenia, not present in patients with attenuated psychosis, implicated other visual regions, including the middle occipital gyrus and pulvinar thalamic nucleus. CONCLUSIONS The study findings emphasize the importance of sensory-level visual dysfunction in the etiology of schizophrenia and in the personal experience of individuals with the disorder and demonstrate that motion-processing deficits may predate illness onset and contribute to impaired function even in patients with attenuated psychosis.
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Affiliation(s)
- Antígona Martínez
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA,Department of Psychiatry, Columbia University Medical Center, New York, NY
| | - Pablo A. Gaspar
- Department of Psychiatry, School of Medicine, ICBM, University of Chile, Santiago, Chile
| | - Steven A. Hillyard
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Cheryl M. Corcoran
- University of Aberdeen, School of Psychology, Aberdeen, UK,Icahn School of Medicine at Mount Sinai, New York, New York
| | - Daniel C. Javitt
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA,Department of Psychiatry, Columbia University Medical Center, New York, NY
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Pan J, Xie Q, Huang H, He Y, Sun Y, Yu R, Li Y. Emotion-Related Consciousness Detection in Patients With Disorders of Consciousness Through an EEG-Based BCI System. Front Hum Neurosci 2018; 12:198. [PMID: 29867421 PMCID: PMC5962793 DOI: 10.3389/fnhum.2018.00198] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 04/25/2018] [Indexed: 11/13/2022] Open
Abstract
For patients with disorders of consciousness (DOC), such as vegetative state (VS) and minimally conscious state (MCS), detecting and assessing the residual cognitive functions of the brain remain challenging. Emotion-related cognitive functions are difficult to detect in patients with DOC using motor response-based clinical assessment scales such as the Coma Recovery Scale-Revised (CRS-R) because DOC patients have motor impairments and are unable to provide sufficient motor responses for emotion-related communication. In this study, we proposed an EEG-based brain-computer interface (BCI) system for emotion recognition in patients with DOC. Eight patients with DOC (5 VS and 3 MCS) and eight healthy controls participated in the BCI-based experiment. During the experiment, two movie clips flashed (appearing and disappearing) eight times with a random interstimulus interval between flashes to evoke P300 potentials. The subjects were instructed to focus on the crying or laughing movie clip and to count the flashes of the corresponding movie clip cued by instruction. The BCI system performed online P300 detection to determine which movie clip the patients responsed to and presented the result as feedback. Three of the eight patients and all eight healthy controls achieved online accuracies based on P300 detection that were significantly greater than chance level. P300 potentials were observed in the EEG signals from the three patients. These results indicated the three patients had abilities of emotion recognition and command following. Through spectral analysis, common spatial pattern (CSP) and differential entropy (DE) features in the delta, theta, alpha, beta, and gamma frequency bands were employed to classify the EEG signals during the crying and laughing movie clips. Two patients and all eight healthy controls achieved offline accuracies significantly greater than chance levels in the spectral analysis. Furthermore, stable topographic distribution patterns of CSP and DE features were observed in both the healthy subjects and these two patients. Our results suggest that cognitive experiments may be conducted using BCI systems in patients with DOC despite the inability of such patients to provide sufficient behavioral responses.
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Affiliation(s)
- Jiahui Pan
- School of Software, South China Normal University, Guangzhou, China
| | - Qiuyou Xie
- Centre for Hyperbaric Oxygen and Neurorehabilitation, General Hospital of Guangzhou Military Command, Guangzhou, China
| | - Haiyun Huang
- School of Automation Science and Engineering, South China University of Technology, Guangzhou, China.,Guangzhou Key Laboratory of Brain Computer Interaction and Applications, Guangzhou, China
| | - Yanbin He
- Centre for Hyperbaric Oxygen and Neurorehabilitation, General Hospital of Guangzhou Military Command, Guangzhou, China
| | - Yuping Sun
- School of Automation Science and Engineering, South China University of Technology, Guangzhou, China.,Guangzhou Key Laboratory of Brain Computer Interaction and Applications, Guangzhou, China
| | - Ronghao Yu
- Centre for Hyperbaric Oxygen and Neurorehabilitation, General Hospital of Guangzhou Military Command, Guangzhou, China
| | - Yuanqing Li
- School of Automation Science and Engineering, South China University of Technology, Guangzhou, China.,Guangzhou Key Laboratory of Brain Computer Interaction and Applications, Guangzhou, China
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McArthur RA. Aligning physiology with psychology: Translational neuroscience in neuropsychiatric drug discovery. Neurosci Biobehav Rev 2017; 76:4-21. [DOI: 10.1016/j.neubiorev.2017.02.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 02/03/2017] [Indexed: 12/12/2022]
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Mason L, Peters E, Williams SC, Kumari V. Brain connectivity changes occurring following cognitive behavioural therapy for psychosis predict long-term recovery. Transl Psychiatry 2017; 7:e1001. [PMID: 28094811 PMCID: PMC5545728 DOI: 10.1038/tp.2016.263] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 10/07/2016] [Accepted: 11/13/2016] [Indexed: 02/07/2023] Open
Abstract
Little is known about the psychobiological mechanisms of cognitive behavioural therapy for psychosis (CBTp) and which specific processes are key in predicting favourable long-term outcomes. Following theoretical models of psychosis, this proof-of-concept study investigated whether the long-term recovery path of CBTp completers can be predicted by the neural changes in threat-based social affective processing that occur during CBTp. We followed up 22 participants who had undergone a social affective processing task during functional magnetic resonance imaging along with self-report and clinician-administered symptom measures, before and after receiving CBTp. Monthly ratings of psychotic and affective symptoms were obtained retrospectively across 8 years since receiving CBTp, plus self-reported recovery at final follow-up. We investigated whether these long-term outcomes were predicted by CBTp-led changes in functional connections with dorsal prefrontal cortical and amygdala during the processing of threatening and prosocial facial affect. Although long-term psychotic symptoms were predicted by changes in prefrontal connections during prosocial facial affective processing, long-term affective symptoms were predicted by threat-related amygdalo-inferior parietal lobule connectivity. Greater increases in dorsolateral prefrontal cortex connectivity with amygdala following CBTp also predicted higher subjective ratings of recovery at long-term follow-up. These findings show that reorganisation occurring at the neural level following psychological therapy can predict the subsequent recovery path of people with psychosis across 8 years. This novel methodology shows promise for further studies with larger sample size, which are needed to better examine the sensitivity of psychobiological processes, in comparison to existing clinical measures, in predicting long-term outcomes.
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Affiliation(s)
- L Mason
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK,Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Henry Wellcome Building, Denmark Hill, London SE5 8BB, UK. E-mail: or
| | - E Peters
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK,South London and Maudsley NHS Foundation Trust, NIHR Biomedical Research Centre for Mental Health, London, UK
| | - S C Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - V Kumari
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK,South London and Maudsley NHS Foundation Trust, NIHR Biomedical Research Centre for Mental Health, London, UK
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Sabharwal A, Szekely A, Kotov R, Mukherjee P, Leung HC, Barch DM, Mohanty A. Transdiagnostic neural markers of emotion-cognition interaction in psychotic disorders. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:907-922. [PMID: 27618279 PMCID: PMC5576592 DOI: 10.1037/abn0000196] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Deficits in working memory (WM) and emotion processing are prominent impairments in psychotic disorders, and have been linked to reduced quality of life and real-world functioning. Translation of knowledge regarding the neural circuitry implementing these deficits into improved diagnosis and targeted treatments has been slow, possibly because of categorical definitions of disorders. Using the dimensional Research Domain Criteria (RDoC) framework, we investigated the clinical and practical utility of transdiagnostic behavioral and neural measures of emotion-related WM disruption across psychotic disorders. Behavioral and functional MRI data were recorded while 53 participants with psychotic disorders and 29 participants with no history of psychosis performed a modified n-back task with fear and neutral distractors. Hierarchical regression analyses showed that psychotic symptoms entered after diagnosis accounted for unique variance in fear versus neutral accuracy and activation in the ventrolateral, dorsolateral, and dorsomedial prefrontal cortex, but diagnostic group entered after psychotic symptoms did not. These results remained even after controlling for negative symptoms, disorganized symptoms, and dysphoria. Finally, worse accuracy and greater prefrontal activity were associated with poorer social functioning and unemployment across diagnostic groups. Present results support the transdiagnostic nature of behavioral and neuroimaging measures of emotion-related WM disruption as they relate to psychotic symptoms, irrespective of diagnosis. They also provide support for the practical utility of these markers in explaining real-world functioning. Overall, these results elucidate key aspects of the RDoC construct of WM maintenance by clarifying its transdiagnostic importance and clinical utility in psychotic disorders. (PsycINFO Database Record
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Affiliation(s)
| | - Akos Szekely
- Department of Psychology, Stony Brook University
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University
| | | | | | - Deanna M. Barch
- Departments of Psychology, Psychiatry, and Radiology, Washington University in St. Louis
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Memisevic H, Mujkanovic E, Ibralic-Biscevic I. Facial Emotion Recognition in Adolescents With Disabilities: The Effects of Type of Disability and Gender. Percept Mot Skills 2016; 123:127-37. [PMID: 27440764 DOI: 10.1177/0031512516660781] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Emotion recognition is very important for successful social interactions. This study compared adolescents with intellectual disability and adolescents with hearing impairment on a facial emotion recognition task. The sample for this study comprised 78 adolescents (46.2% females, 53.8% males; M age = 16.4, SD = 1.0) divided into three groups (N = 26) of adolescents with intellectual disability, adolescents with hearing impairment, and adolescents without disabilities. Emotion recognition abilities were measured using a computerized Emotion Recognition Test. Adolescents with intellectual disability achieved lower scores on Emotion Recognition Test in comparison with adolescents with hearing impairment and adolescents without disabilities. There were no significant differences on Emotion Recognition Test between adolescents with hearing impairment and adolescents without disabilities. Given the importance of emotion recognition in everyday functioning, it is of crucial importance to have emotional training programs as part of the school curriculum.
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Mukherjee P, Sabharwal A, Kotov R, Szekely A, Parsey R, Barch DM, Mohanty A. Disconnection Between Amygdala and Medial Prefrontal Cortex in Psychotic Disorders. Schizophr Bull 2016; 42:1056-67. [PMID: 26908926 PMCID: PMC4903065 DOI: 10.1093/schbul/sbw012] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Distracting emotional information impairs attention more in schizophrenia (SCZ) than in never-psychotic individuals. However, it is unclear whether this impairment and its neural circuitry is indicative generally of psychosis, or specifically of SCZ, and whether it is even more specific to certain SCZ symptoms (eg, deficit syndrome). It is also unclear if this abnormality contributes to impaired behavioral performance and real-world functioning. Functional imaging data were recorded while individuals with SCZ, bipolar disorder with psychosis (BDP) and no history of psychotic disorders (CON) attended to identity of faces while ignoring their emotional expressions. We examined group differences in functional connectivity between amygdala, involved in emotional evaluation, and sub-regions of medial prefrontal cortex (MPFC), involved in emotion regulation and cognitive control. Additionally, we examined correlation of this connectivity with deficit syndrome and real-world functioning. Behaviorally, SCZ showed the worst accuracy when matching the identity of emotional vs neutral faces. Neurally, SCZ showed lower amygdala-MPFC connectivity than BDP and CON. BPD did not differ from CON, neurally or behaviorally. In patients, reduced amygdala-MPFC connectivity during emotional distractors was related to worse emotional vs neutral accuracy, greater deficit syndrome severity, and unemployment. Thus, reduced amygdala-MPFC functional connectivity during emotional distractors reflects a deficit that is specific to SCZ. This reduction in connectivity is associated with worse clinical and real-world functioning. Overall, these findings provide support for the specificity and clinical utility of amygdala-MPFC functional connectivity as a potential neural marker of SCZ.
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Affiliation(s)
- Prerona Mukherjee
- University of California Davis MIND Institute, UC Davis Medical Center, Sacramento, CA
| | - Amri Sabharwal
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Roman Kotov
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Akos Szekely
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Ramin Parsey
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Deanna M. Barch
- Departments of Psychology, Psychiatry, and Radiology, Washington University in St. Louis, St. Louis, MO
| | - Aprajita Mohanty
- Department of Psychology, Stony Brook University, Stony Brook, NY;
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Csukly G, Farkas K, Marosi C, Szabó Á. Deficits in low beta desynchronization reflect impaired emotional processing in schizophrenia. Schizophr Res 2016; 171:207-14. [PMID: 26817399 DOI: 10.1016/j.schres.2016.01.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 01/07/2016] [Accepted: 01/13/2016] [Indexed: 10/22/2022]
Abstract
Empirical data from previous investigations showed that emotion processing is reflected in beta, and especially in low beta event related desynchronization (ERD) (i.e. a decrease in low beta power). While recognition of social information and emotion processing are impaired in schizophrenia, no previous study analyzed induced and evoked beta oscillations in patients with schizophrenia during emotion processing. Twenty-eight subjects with schizophrenia and twenty-seven healthy controls subjects were enrolled in the study. The two study groups did not differ in age, gender and education. Participants viewed positive, neutral and negative scenes selected from the International Affective Picture System (IAPS) while 128-channel EEG was recorded. A significantly weaker low beta ERD was detected in patients relative to controls for the negative stimulus condition in the right parieto-occipital and temporal regions. Patients with decreased beta ERD showed more prominent negative symptoms and more severe deficits in psychosocial functioning. Only in the control group stronger beta ERD was detected for the negative stimuli relative to positive and neutral stimuli in the same regions. Our major finding is that impaired emotion processing in schizophrenia is reflected in decreased low beta ERD and in the diminished differences between low beta ERD to negative and non-negative emotional stimuli. Furthermore, it was found that patients with decreased beta ERD show more prominent negative symptoms and more severe deficits in psychosocial functioning.
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Affiliation(s)
- Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
| | - Kinga Farkas
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Csilla Marosi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Ádám Szabó
- MR Research Center, Semmelweis University, Budapest, Hungary
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15
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Corcoran CM, Keilp JG, Kayser J, Klim C, Butler PD, Bruder GE, Gur RC, Javitt DC. Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective. Psychol Med 2015; 45:2959-2973. [PMID: 26040537 PMCID: PMC5080982 DOI: 10.1017/s0033291715000902] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia is characterized by profound and disabling deficits in the ability to recognize emotion in facial expression and tone of voice. Although these deficits are well documented in established schizophrenia using recently validated tasks, their predictive utility in at-risk populations has not been formally evaluated. METHOD The Penn Emotion Recognition and Discrimination tasks, and recently developed measures of auditory emotion recognition, were administered to 49 clinical high-risk subjects prospectively followed for 2 years for schizophrenia outcome, and 31 healthy controls, and a developmental cohort of 43 individuals aged 7-26 years. Deficit in emotion recognition in at-risk subjects was compared with deficit in established schizophrenia, and with normal neurocognitive growth curves from childhood to early adulthood. RESULTS Deficits in emotion recognition significantly distinguished at-risk patients who transitioned to schizophrenia. By contrast, more general neurocognitive measures, such as attention vigilance or processing speed, were non-predictive. The best classification model for schizophrenia onset included both face emotion processing and negative symptoms, with accuracy of 96%, and area under the receiver-operating characteristic curve of 0.99. In a parallel developmental study, emotion recognition abilities were found to reach maturity prior to traditional age of risk for schizophrenia, suggesting they may serve as objective markers of early developmental insult. CONCLUSIONS Profound deficits in emotion recognition exist in at-risk patients prior to schizophrenia onset. They may serve as an index of early developmental insult, and represent an effective target for early identification and remediation. Future studies investigating emotion recognition deficits at both mechanistic and predictive levels are strongly encouraged.
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Affiliation(s)
- C. M. Corcoran
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - J. G. Keilp
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - J. Kayser
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - C. Klim
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - P. D. Butler
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Department of Psychiatry, New York University, New York, NY, USA
| | - G. E. Bruder
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - R. C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - D. C. Javitt
- Department of Psychiatry, Columbia University, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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16
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Dickie EW, Tahmasebi A, French L, Kovacevic N, Banaschewski T, Barker GJ, Bokde A, Büchel C, Conrod P, Flor H, Garavan H, Gallinat J, Gowland P, Heinz A, Ittermann B, Lawrence C, Mann K, Martinot JL, Nees F, Nichols T, Lathrop M, Loth E, Pausova Z, Rietschel M, Smolka MN, Ströhle A, Toro R, Schumann G, Paus T. Global genetic variations predict brain response to faces. PLoS Genet 2014; 10:e1004523. [PMID: 25122193 PMCID: PMC4133042 DOI: 10.1371/journal.pgen.1004523] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 05/30/2014] [Indexed: 01/21/2023] Open
Abstract
Face expressions are a rich source of social signals. Here we estimated the proportion of phenotypic variance in the brain response to facial expressions explained by common genetic variance captured by ∼500,000 single nucleotide polymorphisms. Using genomic-relationship-matrix restricted maximum likelihood (GREML), we related this global genetic variance to that in the brain response to facial expressions, as assessed with functional magnetic resonance imaging (fMRI) in a community-based sample of adolescents (n = 1,620). Brain response to facial expressions was measured in 25 regions constituting a face network, as defined previously. In 9 out of these 25 regions, common genetic variance explained a significant proportion of phenotypic variance (40–50%) in their response to ambiguous facial expressions; this was not the case for angry facial expressions. Across the network, the strength of the genotype-phenotype relationship varied as a function of the inter-individual variability in the number of functional connections possessed by a given region (R2 = 0.38, p<0.001). Furthermore, this variability showed an inverted U relationship with both the number of observed connections (R2 = 0.48, p<0.001) and the magnitude of brain response (R2 = 0.32, p<0.001). Thus, a significant proportion of the brain response to facial expressions is predicted by common genetic variance in a subset of regions constituting the face network. These regions show the highest inter-individual variability in the number of connections with other network nodes, suggesting that the genetic model captures variations across the adolescent brains in co-opting these regions into the face network. We measured brain response to facial expressions in a large sample of typically developing adolescents (n = 1,620) and assessed “heritability” of the response using common genetic variations across the genome. In a subset of brain regions, we explained 40–50% of phenotypic variance by genetic variance. These brain regions appear to differ from the rest of the face network in the degree of inter-individual variations in their functional connectivity. We propose that these regions, including the prefrontal and premotor cortex, represent “Optional” part of the network co-opted by its “Obligatory” members, including the posterior part of the superior temporal sulcus, fusiform face area and the lateral occipital cortex, concerned with processing complex visual stimuli.
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Affiliation(s)
- Erin W. Dickie
- Rotman Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Amir Tahmasebi
- Rotman Research Institute, University of Toronto, Toronto, Ontario, Canada
- Philips Research North America, Briarcliff Manor, New York, United States of America
| | - Leon French
- Rotman Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Natasa Kovacevic
- Rotman Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Tobias Banaschewski
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Gareth J. Barker
- Institute of Psychiatry, King's College London, London, United Kingdom
| | - Arun Bokde
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Patricia Conrod
- Institute of Psychiatry, King's College London, London, United Kingdom
- Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Montreal, Quebec, Canada
| | - Herta Flor
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Hugh Garavan
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont, United States of America
| | - Juergen Gallinat
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Penny Gowland
- Sir Peter Mansfield MR Centre, University of Nottingham, Nottingham, United Kindom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Berlin, Germany
| | - Claire Lawrence
- School of Psychology, University of Nottingham, Nottingham, United Kindom
| | - Karl Mann
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM CEA Unit 1000 “Imaging & Psychiatry”, University Paris Sud, Orsay, and AP-HP Department of Adolescent Psychopathology and Medicine, Maison de Solenn, University Paris Descartes, Paris, France
| | - Frauke Nees
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | | | | | - Eva Loth
- Institute of Psychiatry, King's College London, London, United Kingdom
- MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, United Kingdom
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Marcela Rietschel
- Central Institute of Mental Health, Mannheim, Germany
- Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Michal N. Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Neuroimaging Center, Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | | | - Gunter Schumann
- Institute of Psychiatry, King's College London, London, United Kingdom
- MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, United Kingdom
| | | | - Tomáš Paus
- Rotman Research Institute, University of Toronto, Toronto, Ontario, Canada
- School of Psychology, University of Nottingham, Nottingham, United Kindom
- * E-mail:
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17
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Tully LM, Niendam TA. Beyond “Cold” Cognition: Exploring Cognitive Control of Emotion as a Risk Factor for Psychosis. Curr Behav Neurosci Rep 2014. [DOI: 10.1007/s40473-014-0016-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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18
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Sedeño L, Moya Á, Baker P, Ibáñez A. Cognición social contexto-dependiente y redes frontotemporo-insulares. INTERNATIONAL JOURNAL OF SOCIAL PSYCHOLOGY 2014. [DOI: 10.1174/021347413807719085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Lucas Sedeño
- Laboratorio de Psicología Experimental y Neurociencias (LPEN), Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Universidad Favaloro, Buenos Aires, Argentina
- Universidad Diego Portales, Santiago, Chile
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Álvaro Moya
- Laboratorio de Psicología Experimental y Neurociencias (LPEN), Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
| | - Phil Baker
- Laboratorio de Psicología Experimental y Neurociencias (LPEN), Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
| | - Agustín Ibáñez
- Laboratorio de Psicología Experimental y Neurociencias (LPEN), Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Universidad Favaloro, Buenos Aires, Argentina
- Universidad Diego Portales, Santiago, Chile
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
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19
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Dynamics of alpha oscillations elucidate facial affect recognition in schizophrenia. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2013; 14:364-77. [DOI: 10.3758/s13415-013-0194-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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20
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Ibáñez A, Aguado J, Baez S, Huepe D, Lopez V, Ortega R, Sigman M, Mikulan E, Lischinsky A, Torrente F, Cetkovich M, Torralva T, Bekinschtein T, Manes F. From neural signatures of emotional modulation to social cognition: individual differences in healthy volunteers and psychiatric participants. Soc Cogn Affect Neurosci 2013; 9:939-50. [PMID: 23685775 DOI: 10.1093/scan/nst067] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
It is commonly assumed that early emotional signals provide relevant information for social cognition tasks. The goal of this study was to test the association between (a) cortical markers of face emotional processing and (b) social-cognitive measures, and also to build a model which can predict this association (a and b) in healthy volunteers as well as in different groups of psychiatric patients. Thus, we investigated the early cortical processing of emotional stimuli (N170, using a face and word valence task) and their relationship with the social-cognitive profiles (SCPs, indexed by measures of theory of mind, fluid intelligence, speed processing and executive functions). Group comparisons and individual differences were assessed among schizophrenia (SCZ) patients and their relatives, individuals with attention deficit hyperactivity disorder (ADHD), individuals with euthymic bipolar disorder (BD) and healthy participants (educational level, handedness, age and gender matched). Our results provide evidence of emotional N170 impairments in the affected groups (SCZ and relatives, ADHD and BD) as well as subtle group differences. Importantly, cortical processing of emotional stimuli predicted the SCP, as evidenced by a structural equation model analysis. This is the first study to report an association model of brain markers of emotional processing and SCP.
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Affiliation(s)
- Agustín Ibáñez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UKLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, C
| | - Jaume Aguado
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Sandra Baez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - David Huepe
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Vladimir Lopez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Rodrigo Ortega
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UKLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, C
| | - Mariano Sigman
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UKLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, C
| | - Ezequiel Mikulan
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Alicia Lischinsky
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Fernando Torrente
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Marcelo Cetkovich
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Teresa Torralva
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Tristan Bekinschtein
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Facundo Manes
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
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21
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Baez S, Herrera E, Villarin L, Theil D, Gonzalez-Gadea ML, Gomez P, Mosquera M, Huepe D, Strejilevich S, Vigliecca NS, Matthäus F, Decety J, Manes F, Ibañez AM. Contextual social cognition impairments in schizophrenia and bipolar disorder. PLoS One 2013; 8:e57664. [PMID: 23520477 PMCID: PMC3592887 DOI: 10.1371/journal.pone.0057664] [Citation(s) in RCA: 80] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2012] [Accepted: 01/23/2013] [Indexed: 01/09/2023] Open
Abstract
Background The ability to integrate contextual information with social cues to generate social meaning is a key aspect of social cognition. It is widely accepted that patients with schizophrenia and bipolar disorders have deficits in social cognition; however, previous studies on these disorders did not use tasks that replicate everyday situations. Methodology/Principal Findings This study evaluates the performance of patients with schizophrenia and bipolar disorders on social cognition tasks (emotional processing, empathy, and social norms knowledge) that incorporate different levels of contextual dependence and involvement of real-life scenarios. Furthermore, we explored the association between social cognition measures, clinical symptoms and executive functions. Using a logistic regression analysis, we explored whether the involvement of more basic skills in emotional processing predicted performance on empathy tasks. The results showed that both patient groups exhibited deficits in social cognition tasks with greater context sensitivity and involvement of real-life scenarios. These deficits were more severe in schizophrenic than in bipolar patients. Patients did not differ from controls in tasks involving explicit knowledge. Moreover, schizophrenic patients’ depression levels were negatively correlated with performance on empathy tasks. Conclusions/Significance Overall performance on emotion recognition predicted performance on intentionality attribution during the more ambiguous situations of the empathy task. These results suggest that social cognition deficits could be related to a general impairment in the capacity to implicitly integrate contextual cues. Important implications for the assessment and treatment of individuals with schizophrenia and bipolar disorders, as well as for neurocognitive models of these pathologies are discussed.
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Affiliation(s)
- Sandra Baez
- Institute of Cognitive Neurology (INECO) & Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Pontifical Catholic University of Argentina, Buenos Aires, Argentina
| | - Eduar Herrera
- Universidad Autónoma del Caribe, Barranquilla, Colombia
| | - Lilian Villarin
- Interdisciplinary Center for Scientific Computing, University of Heidelberg, Heidelberg, Germany
| | | | - María Luz Gonzalez-Gadea
- Institute of Cognitive Neurology (INECO) & Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Pedro Gomez
- CARI University Hospital, Barranquilla, Colombia
| | | | - David Huepe
- Laboratory of Cognitive and Social Neuroscience, Universidad Diego Portales, Santiago, Chile
| | - Sergio Strejilevich
- Institute of Cognitive Neurology (INECO) & Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina
| | - Nora Silvana Vigliecca
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Instituto de Humanidades (IDH) de la Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Franziska Matthäus
- Interdisciplinary Center for Scientific Computing, University of Heidelberg, Heidelberg, Germany
| | - Jean Decety
- Departments of Psychology and Psychiatry, and Center for Cognitive and Social Neuroscience, University of Chicago, Chicago, Illinois, United States of America
| | - Facundo Manes
- Institute of Cognitive Neurology (INECO) & Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina
| | - Agustín M. Ibañez
- Institute of Cognitive Neurology (INECO) & Institute of Neuroscience, Favaloro University, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Laboratory of Cognitive and Social Neuroscience, Universidad Diego Portales, Santiago, Chile
- * E-mail:
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22
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Abstract
Schizophrenia (SZ) is a common disorder that runs in families. It has a relatively high heritability, i.e., inherited factors account for the major proportion of its etiology. The high heritability has motivated gene mapping studies that have improved in sophistication through the past two decades. Belying earlier expectations, it is now becoming increasingly clear that the cause of SZ does not reside in a single mutation, or even in a single gene. Rather, there are multiple DNA variants, not all of which have been identified. Additional risk may be conferred by interactions between individual DNA variants, as well as 'gene-environment' interactions. We review studies that have accounted for a fraction of the heritability. Their relevance to the practising clinician is discussed. We propose that continuing research in DNA variation, in conjunction with rapid ongoing advances in allied fields, will yield dividends from the perspective of diagnosis, treatment prediction through pharmacogenetics, and rational treatment through discoveries in pathogenesis.
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Affiliation(s)
- Prachi Kukshal
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - B. K. Thelma
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Vishwajit L. Nimgaonkar
- Departments of Psychiatry and Human Genetics, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Smita N. Deshpande
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Dr Ram Manohar Lohia Hospital, New Delhi, India
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