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Tsuchiyagaito A, Sánchez SM, Misaki M, Kuplicki R, Park H, Paulus MP, Guinjoan SM. Intensity of repetitive negative thinking in depression is associated with greater functional connectivity between semantic processing and emotion regulation areas. Psychol Med 2023; 53:5488-5499. [PMID: 36043367 PMCID: PMC9973538 DOI: 10.1017/s0033291722002677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Repetitive negative thinking (RNT), a cognitive process that encompasses past (rumination) and future (worry) directed thoughts focusing on negative experiences and the self, is a transdiagnostic construct that is especially relevant for major depressive disorder (MDD). Severe RNT often occurs in individuals with severe levels of MDD, which makes it challenging to disambiguate the neural circuitry underlying RNT from depression severity. METHODS We used a propensity score, i.e., a conditional probability of having high RNT given observed covariates to match high and low RNT individuals who are similar in the severity of depression, anxiety, and demographic characteristics. Of 148 MDD individuals, we matched high and low RNT groups (n = 50/group) and used a data-driven whole-brain voxel-to-voxel connectivity pattern analysis to investigate the resting-state functional connectivity differences between the groups. RESULTS There was an association between RNT and connectivity in the bilateral superior temporal sulcus (STS), an important region for speech processing including inner speech. High relative to low RNT individuals showed greater connectivity between right STS and bilateral anterior insular cortex (AI), and between bilateral STS and left dorsolateral prefrontal cortex (DLPFC). Greater connectivity in those regions was specifically related to RNT but not to depression severity. CONCLUSIONS RNT intensity is directly related to connectivity between STS and AI/DLPFC. This might be a mechanism underlying the role of RNT in perceptive, cognitive, speech, and emotional processing. Future investigations will need to determine whether modifying these connectivities could be a treatment target to reduce RNT.
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Affiliation(s)
- Aki Tsuchiyagaito
- Laureate Institute for Brain Research, Tulsa, OK, USA
- The University of Tulsa, Tulsa, OK, USA
- Chiba University, Chiba, Japan
| | | | - Masaya Misaki
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | | | - Heekyong Park
- Laureate Institute for Brain Research, Tulsa, OK, USA
- University of North Texas at Dallas, Dallas, TX, USA
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Karpouzian-Rogers T, Cobia D, Petersen J, Wang L, Mittal VA, Csernansky JG, Smith MJ. Cognitive Empathy and Longitudinal Changes in Temporo-Parietal Junction Thickness in Schizophrenia. Front Psychiatry 2021; 12:667656. [PMID: 34054621 PMCID: PMC8160364 DOI: 10.3389/fpsyt.2021.667656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 04/15/2021] [Indexed: 01/04/2023] Open
Abstract
Objective: Deficits in cognitive empathy are well-documented in individuals with schizophrenia and are related to reduced community functioning. The temporoparietal junction (TPJ) is closely linked to cognitive empathy. We compared the relationship between baseline cognitive empathy and changes in TPJ thickness over 24 months between individuals with schizophrenia and healthy controls. Methods: Individuals with schizophrenia (n = 29) and healthy controls (n = 26) completed a cognitive empathy task and underwent structural neuroimaging at baseline and approximately 24 months later. Symmetrized percent change scores were calculated for right and left TPJ, as well as whole-brain volume, and compared between groups. Task accuracy was examined as a predictor of percent change in TPJ thickness and whole-brain volume in each group. Results: Individuals with schizophrenia demonstrated poorer accuracy on the cognitive empathy task (p < 0.001) and thinner TPJ cortex relative to controls at both time points (p = 0.01). In schizophrenia, greater task accuracy was uniquely related to less thinning of the TPJ over time (p = 0.02); task accuracy did not explain changes in left TPJ or whole-brain volume. Among controls, task accuracy did not explain changes in right or left TPJ, or whole-brain volume. Conclusions: Our findings suggest that greater cognitive empathy may explain sustained integrity of the right TPJ in individuals with schizophrenia, suggesting a contributory substrate for the long-term maintenance of this process in psychosis. Cognitive empathy was not related to changes in whole-brain volume, demonstrating the unique role of the TPJ in cognitive empathy.
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Affiliation(s)
- Tatiana Karpouzian-Rogers
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.,Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Derin Cobia
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, United States
| | - Julie Petersen
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.,Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, United States
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Matthew J Smith
- School of Social Work, University of Michigan, Ann Arbor, MI, United States
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Martin D, Croft J, Pitt A, Strelchuk D, Sullivan S, Zammit S. Systematic review and meta-analysis of the relationship between genetic risk for schizophrenia and facial emotion recognition. Schizophr Res 2020; 218:7-13. [PMID: 31932173 DOI: 10.1016/j.schres.2019.12.031] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 12/21/2019] [Accepted: 12/22/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Recent research has highlighted that facial emotion recognition deficits are more common in people with schizophrenia, but the reason for this association is not well understood. Comparing facial recognition deficits in unaffected individuals at higher genetic risk for schizophrenia with individuals at lower genetic risk could increase our understanding of this relationship. METHODS We systematically reviewed studies reporting on the relationship between genetic risk of schizophrenia and facial emotion recognition deficits. Meta-analyses were performed where sufficient data were available, otherwise we conducted narrative summaries. Meta-analyses were performed both for generalised and specific facial emotion recognition deficits. RESULTS 34 studies were included in this review with 23 included in meta-analyses. Meta-analysis indicated strong evidence of a deficit in facial emotion recognition in first-degree relatives of people with schizophrenia compared with controls (SMD 0.38 95% CI 0.26 to 0.51, p ≤ 0.001). Further meta-analyses demonstrated strong evidence of a deficit in the recognition of negative valence facial expressions (SMD 0.19 CI 0.06 to 0.32, p = 0.004) but no evidence of deficit in the recognition of neutral or positive valance. CONCLUSIONS There is strong evidence of facial emotion recognition deficits in first-degree relatives of people with schizophrenia. Our findings suggest that such deficits in people with schizophrenia arise prior to the onset of the disorder, though cannot inform whether that association is causal or due to confounding. Emotion recognition deficits, particularly to negative emotions, might be useful predictors of schizophrenia risk.
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Affiliation(s)
- David Martin
- Centre for Academic Mental Health, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
| | - Jazz Croft
- Centre for Academic Mental Health, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Alice Pitt
- Avon and Wiltshire Mental Health Partnership NHS Trust, UK
| | - Daniela Strelchuk
- Centre for Academic Mental Health, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Sarah Sullivan
- Centre for Academic Mental Health, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Stan Zammit
- Centre for Academic Mental Health, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK; MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff CF24 4HQ, UK
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Eddy CM. The junction between self and other? Temporo-parietal dysfunction in neuropsychiatry. Neuropsychologia 2016; 89:465-477. [PMID: 27457686 DOI: 10.1016/j.neuropsychologia.2016.07.030] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 05/13/2016] [Accepted: 07/22/2016] [Indexed: 11/18/2022]
Affiliation(s)
- Clare M Eddy
- Department of Neuropsychiatry, BSMHFT The Barberry, National Centre for Mental Health, Birmingham, UK; School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
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Castro MN, Villarreal MF, Bolotinsky N, Papávero E, Goldschmidt MG, Costanzo EY, Drucaroff L, Wainsztein A, de Achával D, Pahissa J, Bär KJ, Nemeroff CB, Guinjoan SM. Brain activation induced by psychological stress in patients with schizophrenia. Schizophr Res 2015; 168:313-21. [PMID: 26190301 DOI: 10.1016/j.schres.2015.07.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 07/01/2015] [Accepted: 07/06/2015] [Indexed: 12/30/2022]
Abstract
Environmental influences are critical for the expression of genes putatively related to the behavioral and cognitive phenotypes of schizophrenia. Among such factors, psychosocial stress has been proposed to play a major role in the expression of symptoms. However, it is unsettled how stress interacts with pathophysiological pathways to produce the disease. We studied 21 patients with schizophrenia and 21 healthy controls aged 18 to 50years with 3T-fMRI, in which a period of 6min of resting state acquisition was followed by a block design, with three blocks of 1-min control-task, 1-min stress-task and 1-min rest after-task. Self-report of stress and PANSS were measured. Limbic structures were activated in schizophrenia patients by simple tasks and remained active during, and shortly after stress. In controls, stress-related brain activation was more time-focused, and restricted to the stressful task itself. Negative symptom severity was inversely related to activation of anterior cingulum and orbitofrontal cortex. Results might represent the neurobiological aspect of hyper-reactivity to normal stressful situations previously described in schizophrenia, thus providing evidence on the involvement of limbic areas in the response to stress in schizophrenia. Patients present a pattern of persistent limbic activation probably contributing to hypervigilance and subsequent psychotic thought distortions.
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Affiliation(s)
- M N Castro
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Department of Physiology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Department of Mental Health, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - M F Villarreal
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - N Bolotinsky
- Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - E Papávero
- Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - M G Goldschmidt
- Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - E Y Costanzo
- Department of Mental Health, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - L Drucaroff
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Department of Mental Health, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - A Wainsztein
- Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - D de Achával
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Department of Mental Health, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - J Pahissa
- Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | - K-J Bär
- Department of Psychiatry, Universitätsklinikum Jena, Friedrich-Schiller-Universität, Jena, Germany
| | - C B Nemeroff
- Department of Psychiatry and Behavioral Sciences, Leonard M. Millier School of Medicine, University of Miami, Miami, United States
| | - S M Guinjoan
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Department of Mental Health, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina; Fundación Lucha contra Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina; Department of Neurophysiology, School of Psychology, University of Buenos Aires, Buenos Aires, Argentina.
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Villarreal MF, Drucaroff LJ, Goldschmidt MG, de Achával D, Costanzo EY, Castro MN, Ladrón-de-Guevara MS, Busatto Filho G, Nemeroff CB, Guinjoan SM. Pattern of brain activation during social cognitive tasks is related to social competence in siblings discordant for schizophrenia. J Psychiatr Res 2014; 56:120-9. [PMID: 24927685 DOI: 10.1016/j.jpsychires.2014.05.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Revised: 05/13/2014] [Accepted: 05/13/2014] [Indexed: 01/19/2023]
Abstract
Measures of social competence are closely related to actual community functioning in patients with schizophrenia. However, the neurobiological mechanisms underlying competence in schizophrenia are not fully understood. We hypothesized that social deficits in schizophrenia are explained, at least in part, by abnormally lateralized patterns of brain activation in response to tasks engaging social cognition, as compared to healthy individuals. We predicted such patterns would be partly heritable, and therefore affected in patients' nonpsychotic siblings as well. We used a functional magnetic resonance image paradigm to characterize brain activation induced by theory of mind tasks, and two tests of social competence, the Test of Adaptive Behavior in Schizophrenia (TABS), and the Social Skills Performance Assessment (SSPA) in siblings discordant for schizophrenia and comparable healthy controls (n = 14 per group). Healthy individuals showed the strongest correlation between social competence and activation of right hemisphere structures involved in social cognitive processing, whereas in patients, the correlation pattern was lateralized to left hemisphere areas. Unaffected siblings of patients exhibited a pattern intermediate between the other groups. These results support the hypothesis that schizophrenia may be characterized by an abnormal functioning of nondominant hemisphere structures involved in the processing of socially salient information.
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Affiliation(s)
- Mirta F Villarreal
- National Council of Scientific and Technological Research (CONICET), Av. Rivadavia 1917, Buenos Aires C1033AAJ, Argentina; Departament of Physics, School of Exact and Natural Sciences, University of Buenos Aires Ciudad Universitaria, Buenos Aires, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Lucas J Drucaroff
- National Council of Scientific and Technological Research (CONICET), Av. Rivadavia 1917, Buenos Aires C1033AAJ, Argentina; Department of Mental Health, FLENI Teaching Unit, School of Medicine, University of Buenos Aires, Montañeses 2325, 8th Floor, Buenos Aires C1428AQK, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Micaela G Goldschmidt
- Department of Mental Health, FLENI Teaching Unit, School of Medicine, University of Buenos Aires, Montañeses 2325, 8th Floor, Buenos Aires C1428AQK, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Delfina de Achával
- National Council of Scientific and Technological Research (CONICET), Av. Rivadavia 1917, Buenos Aires C1033AAJ, Argentina; Department of Mental Health, FLENI Teaching Unit, School of Medicine, University of Buenos Aires, Montañeses 2325, 8th Floor, Buenos Aires C1428AQK, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Elsa Y Costanzo
- Department of Mental Health, FLENI Teaching Unit, School of Medicine, University of Buenos Aires, Montañeses 2325, 8th Floor, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Mariana N Castro
- National Council of Scientific and Technological Research (CONICET), Av. Rivadavia 1917, Buenos Aires C1033AAJ, Argentina; Department of Mental Health, FLENI Teaching Unit, School of Medicine, University of Buenos Aires, Montañeses 2325, 8th Floor, Buenos Aires C1428AQK, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - M Soledad Ladrón-de-Guevara
- National Council of Scientific and Technological Research (CONICET), Av. Rivadavia 1917, Buenos Aires C1033AAJ, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Geraldo Busatto Filho
- Nucleo de Apoio à Pesquisa em Neurociência Aplicada, Universidade de São Paulo (NAPNA-USP), Brazil
| | - Charles B Nemeroff
- Department of Psychiatry and Behavioral Sciences, Leonard M. Miller School of Medicine, University of Miami, 1120 Northwest 14 St., Suite 1455, Miami, FL 33136, USA
| | - Salvador M Guinjoan
- National Council of Scientific and Technological Research (CONICET), Av. Rivadavia 1917, Buenos Aires C1033AAJ, Argentina; Department of Mental Health, FLENI Teaching Unit, School of Medicine, University of Buenos Aires, Montañeses 2325, 8th Floor, Buenos Aires C1428AQK, Argentina; Department of Neurophysiology, School of Psychology, University of Buenos Aires, Hipólito Yrigoyen 3242, Buenos Aires C1207ABQ, Argentina; FLENI, Department of Neurology, Montañeses 2325, Buenos Aires C1428AQK, Argentina; FLENI, Department of Psychiatry, Montañeses 2325, Buenos Aires C1428AQK, Argentina.
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