Neural Processing of Emotional Facial and Semantic Expressions in Euthymic Bipolar Disorder (BD) and Its Association with Theory of Mind (ToM)

Ibáñez, Agustín; Urquina, Hugo; Petroni, Agustín; Báez, Sandra; López, Vladimir; Nascimento, Micaela do; Herrera, Eduar; Guex, Raphaël; Hurtado, Esteban; Blenkmann, Alejandro; Beltrachini, Leandro; Gelormini, Carlos; Sigman, Mariano; Lischinsky, Alicia; Torralva, Teresa; Torrente, Fernando; Cetkovich, Marcelo; Manes, Facundo

doi:10.1371/journal.pone.0046877

Cited by 38 publications

(21 citation statements)

References 74 publications

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“…The IAG, however, showed abnormal right hemisphere activity within this time window. Previous reports on schizophrenia [47], bipolar disorder [48], and ADHD [39] have evidenced similar abnormalities in right hemisphere when assessing ERPs with the DVT. The impaired emotional processing indexed by N170 has been considered a useful biomarker of potential genetic deficits underlying these disorders.…”

Section: Discussionsupporting

confidence: 55%

“…The DVT [39], [46]–[48] is an adaptation of the Implicit Association Task designed specifically for ERP measurements [40]. The DVT assesses the emotional valence (positive or negative) of faces and words.…”

Section: Methodsmentioning

confidence: 99%

“…Based on previous DVT reports [39], [46]–[48], ROIs were used to analyze the scalp topography of the ERP components. The ROIs were chosen by visual inspection of the right N170 component, comprised of four electrodes placed near the canonical locations for the N170 component (T6 and T7: [50]).…”

Section: Methodsmentioning

confidence: 99%

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Attachment Patterns Trigger Differential Neural Signature of Emotional Processing in Adolescents

et al. 2013

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BackgroundResearch suggests that individuals with different attachment patterns process social information differently, especially in terms of facial emotion recognition. However, few studies have explored social information processes in adolescents. This study examined the behavioral and ERP correlates of emotional processing in adolescents with different attachment orientations (insecure attachment group and secure attachment group; IAG and SAG, respectively). This study also explored the association of these correlates to individual neuropsychological profiles.Methodology/Principal FindingsWe used a modified version of the dual valence task (DVT), in which participants classify stimuli (faces and words) according to emotional valence (positive or negative). Results showed that the IAG performed significantly worse than SAG on tests of executive function (EF attention, processing speed, visuospatial abilities and cognitive flexibility). In the behavioral DVT, the IAG presented lower performance and accuracy. The IAG also exhibited slower RTs for stimuli with negative valence. Compared to the SAG, the IAG showed a negative bias for faces; a larger P1 and attenuated N170 component over the right hemisphere was observed. A negative bias was also observed in the IAG for word stimuli, which was demonstrated by comparing the N170 amplitude of the IAG with the valence of the SAG. Finally, the amplitude of the N170 elicited by the facial stimuli correlated with EF in both groups (and negative valence with EF in the IAG).Conclusions/SignificanceOur results suggest that individuals with different attachment patterns process key emotional information and corresponding EF differently. This is evidenced by an early modulation of ERP components’ amplitudes, which are correlated with behavioral and neuropsychological effects. In brief, attachments patterns appear to impact multiple domains, such as emotional processing and EFs.

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Section: Discussionsupporting

confidence: 55%

Section: Methodsmentioning

confidence: 99%

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Attachment Patterns Trigger Differential Neural Signature of Emotional Processing in Adolescents

et al. 2013

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“…When these reports were examined further, only 26 met all the selection criteria. Seven of them were excluded as they were based on the same sample used in other studies (Martino et al, 2008;Konstantakopoulos et al, 2010Konstantakopoulos et al, , 2011Burdick et al, 2011;Hoertnagl et al, 2011;Ioannidi et al, 2011;Ibañez et al, 2012). Finally, 19 reports comparing the social cognitive performance of 712 BD patients (mean age: 40.54 years) with that of 664 healthy controls (mean age: 39.25) were included (Table 1).…”

Section: Resultsmentioning

confidence: 99%

An individual task meta-analysis of social cognition in euthymic bipolar disorders

Samamé

Martino

Strejilevich

2015

Journal of Affective Disorders

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“…Thirty-five participants (BD = 11; ADHD = 9; CT = 15) recruited from a broad ongoing project [4,5,28,29,30,31,32] received clinical, neurocognitive and EEG assessments (see table 1 for demographic details). All participants provided written informed consent in agreement with the Helsinki declaration.…”

Section: Methodsmentioning

confidence: 99%

Functional Connectivity and Temporal Variability of Brain Connections in Adults with Attention Deficit/Hyperactivity Disorder and Bipolar Disorder

et al. 2014

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Objectives: To assess brain functional connectivity and variability in adults with attention deficit/hyperactivity disorder (ADHD) or euthymic bipolar disorder (BD) relative to a control (CT) group. Methods: Electroencephalography (EEG) was measured in 35 participants (BD = 11; ADHD = 9; CT = 15) during an eyes-closed 10-min rest period, and connectivity and graph theory metrics were computed. A coefficient of variation (CV) computed also the connectivity's temporal variability of EEG. Multivariate associations between functional connectivity and clinical and neuropsychological profiles were evaluated. Results: An enhancement of functional connectivity was observed in the ADHD (fronto-occipital connections) and BD (diffuse connections) groups. However, compared with CTs, intrinsic variability (CV) was enhanced in the ADHD group and reduced in the BD group. Graph theory metrics confirmed the existence of several abnormal network features in both affected groups. Significant associations of connectivity with symptoms were also observed. In the ADHD group, temporal variability of functional connections was associated with executive function and memory deficits. Depression, hyperactivity and impulsivity levels in the ADHD group were associated with abnormal intrinsic connectivity. In the BD group, levels of anxiety and depression were related to abnormal frontotemporal connectivity. Conclusions: In the ADHD group, we found that intrinsic variability was associated with deficits in cognitive performance and that connectivity abnormalities were related to ADHD symptomatology. The BD group exhibited less intrinsic variability and more diffuse long-range brain connections, and those abnormalities were related to interindividual differences in depression and anxiety. These preliminary results are relevant for neurocognitive models of abnormal brain connectivity in both disorders.

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Neural Processing of Emotional Facial and Semantic Expressions in Euthymic Bipolar Disorder (BD) and Its Association with Theory of Mind (ToM)

Cited by 38 publications

References 74 publications

Attachment Patterns Trigger Differential Neural Signature of Emotional Processing in Adolescents

Attachment Patterns Trigger Differential Neural Signature of Emotional Processing in Adolescents

An individual task meta-analysis of social cognition in euthymic bipolar disorders

Functional Connectivity and Temporal Variability of Brain Connections in Adults with Attention Deficit/Hyperactivity Disorder and Bipolar Disorder

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