A dimensional approach to determine common and specific neurofunctional markers for depression and social anxiety during emotional face processing

Luo, Li; Becker, Benjamin; Zheng, Xiaoxiao; Zhao, Zhiying; Xu, Xiaoling; Zhou, Feng; Wang, Jiaojian; Kou, Juan; Dai, Jing; Kendrick, Keith M.

doi:10.1002/hbm.23880

Cited by 23 publications

(19 citation statements)

References 88 publications

(119 reference statements)

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“…In order to minimize interference by cognitive processes, subjects were instructed to passively view condition-specific blocks of the visual stimuli in a randomized order. fMRI acquisition, preprocessing, quality control (e.g., collinearity test between the scales) and nonparametric regression models were identical to our previous study on common and distinct contributions of pathologically relevant traits to affective neural responses [7]. Briefly, on the first level condition-specific regressors were modeled to generate the main contrast of interest [(physical pain > physical control) > (affective pain > affective control)] which was subjected to whole-brain nonparametric regression models testing distinct and interactive effects of alexithymia (assessed by the Toronto Alexithymia Scale, TAS) and autism traits (assessed by the Autism Spectrum Quotient, ASQ).…”

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Common and Dissociable Contributions of Alexithymia and Autism to Domain-Specific Interoceptive Dysregulations: A Dimensional Neuroimaging Approach

Lei

Zheng

et al. 2018

Psychother Psychosom

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confidence: 99%

Common and Dissociable Contributions of Alexithymia and Autism to Domain-Specific Interoceptive Dysregulations: A Dimensional Neuroimaging Approach

Lei

Zheng

et al. 2018

Psychother Psychosom

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“…ASQ and TAS scores were positively associated in the present sample (rho = 0.408, p< 0.001), therefore the variance inflation factor (VIF) was assessed to test for problematic collinearity (Luo et al, 2018;Mumford et al, 2015). VIF in present study was 1.21, arguing against problematic collinearity (Mumford et al, 2015; see also Luo et al, 2018;Ohashi et al, 2017;Chau et al, 2017).…”

Section: Alexithymia and Autism Scales And Quality Assessmentmentioning

confidence: 59%

“…Assessing the normal distribution of the scales revealed that ASQ scores in the present sample were non-normal distributed (Shapiro-Wilk test, p< 0.05), to this end associations with neural indices were determined using non-parametric approaches (for a concordant approach see also Luo et al, 2018). ASQ and TAS scores were positively associated in the present sample (rho = 0.408, p< 0.001), therefore the variance inflation factor (VIF) was assessed to test for problematic collinearity (Luo et al, 2018;Mumford et al, 2015). VIF in present study was 1.21, arguing against problematic collinearity (Mumford et al, 2015; see also Luo et al, 2018;Ohashi et al, 2017;Chau et al, 2017).…”

Section: Alexithymia and Autism Scales And Quality Assessmentmentioning

confidence: 92%

“…Given that the ASQ scores in the present sample were non-normal distributed (Shapiro-Wilk test, p<0.05), non-parametric tests were employed using the Statistical nonParametric Mapping toolbox (SnPM13, http://warwick.ac.uk/snpm) based on 10,000 random permutations to implement separate regression analysis for ASQ, TAS and their interaction (similar approach see also Luo et al, 2018). For the three regression models, one of the values was entered as predictor whereas the other two terms were entered as additional regressors of no interest.…”

Section: Mri Data Analysis -Preprocessing and Analysis Approachmentioning

confidence: 99%

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Common and dissociable contributions of alexithymia and autism to domain-specific interoceptive dysregulations – a dimensional neuroimaging approach

Lei

Zheng

et al. 2018

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Alexithymia represents a transdiagnostic marker across psychiatric entities associated with emotional impairments, including autism spectrum disorders (ASD). Accumulating evidence suggests that interoceptive dysfunctions that underpin the core symptomatic emotion recognition and empathy deficits in ASD may be contributed to by high levels of alexithymia rather than autistic symptoms per se. However, previous findings are hampered by generally elevated alexithymia in ASD patients, and thus were not able to differentiate common and distinct contributions across the entire spectrum of variations of autism and alexithymia. Moreover, the multi-factorial nature of the domains affected, such as distinct neural reactivity towards perceiving physical and affective pain, has not been accounted for. Against this background the present fMRI study employed a dimensional trait approach in n = 242 healthy subjects to determine common and distinct associations between both traits and pain empathic responses towards physical and affective pain. Higher levels of alexithymia associated with increased left anterior insula pain empathic reactivity. Disentangling these effects revealed a positive association during perceived physical pain, but a negative one during affective pain. No significant associations with trait autism were found, but an interaction effect between the trait dimensions was observed in the mid-cingulate cortex. Moderation analysis demonstrated that trait autism only impacted mid-cingulate reactivity towards physical pain in high alexithymia subjects, whereas reactivity towards affective pain was specifically associated with trait autism in low alexithymia subjects. Findings confirm previous patient studies suggesting that alexithymia rather than autism per se may drive altered insula pain empathic reactivity. Importantly, the present approach allowed for the first time to demonstrate that the impact of alexithymia on insula reactivity varies as a function of the pain empathic domain and that effects on other core empathy nodes evolve in interaction with trait autism.

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“…For example, the study of Arrais and colleagues (2010) reported that women with SAD needed less emotional intensity to recognize fear, happiness, and sadness. In another hand, other studies have used the facial emotion recognition an arousing procedure to determine specific biomarkers of SAD and depression (Luo et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Heritability in social anxiety disorder and its impact on executive functioning, facial expression recognition, and symptomatic profile

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A dimensional approach to determine common and specific neurofunctional markers for depression and social anxiety during emotional face processing

Cited by 23 publications

References 88 publications

Common and Dissociable Contributions of Alexithymia and Autism to Domain-Specific Interoceptive Dysregulations: A Dimensional Neuroimaging Approach

Common and Dissociable Contributions of Alexithymia and Autism to Domain-Specific Interoceptive Dysregulations: A Dimensional Neuroimaging Approach

Common and dissociable contributions of alexithymia and autism to domain-specific interoceptive dysregulations – a dimensional neuroimaging approach

Heritability in social anxiety disorder and its impact on executive functioning, facial expression recognition, and symptomatic profile

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