Neural substrates for dissociation of cognition inhibition in autogenous- and reactive-type obsessive-compulsive disorder.

BACKGROUND: The taxonomy of autogenous- and reactive-type obsessive-compulsive disorder (OCD) (AO vs. RO) is one of the most valid subtyping approaches to the heterogeneity of OCD. The present study aimed to seek evidence of neural substrates supporting the dissociation of cognition inhibition in AO and RO which was revealed by our previous behavioral and electrophysiological work. METHODS: A total of 165 patients with OCD (86 AO versus 79 RO), and 79 healthy controls (HC) underwent resting-state functional magnetic resonance imaging scans. Within-network connectivity, node strength, and edge-wise functional connectivity (FC) in cognition and response inhibition networks were calculated. Results from 3 cognition and 2 response inhibition network atlases were compared to confirm the robustness of the findings. RESULTS: Both AO and RO showed lower within-network connectivity in response inhibition networks, while lower within cognition inhibition network connectivity was only detected in AO. Besides shared weaker node strength in the anterior insula (AI), anterior cingulate cortex (ACC), and supplementary motor area (SMA), AO had a broader range of nodes within cognition inhibition networks exhibiting weaker strength, including nodes in right inferior frontal gyrus (IFG), left parietal and occipital regions. Decreased FC of left AI-CC, left IFG-ACC, and frontal-parietal regions in cognition inhibition networks were found in AO. CONCLUSIONS: Findings indicate that unlike deficits in connectivity within response inhibition networks which may reflect a common pathology in AO and RO, deficits in connectivity within cognition inhibition networks were more pronounced in AO. These findings strengthen our insight into the heterogeneity in OCD.

Depression mediates the relationship of experiential avoidance and internet addiction: a cross-lagged mediation analysis.

Previous research has identified the contemporaneous association between experiential avoidance, depression, and Internet addiction. However, the mechanisms underlying this association are not well acknowledged. The present study aimed to use cross-lagged panel modeling to examine whether depression mediates the relation between experiential avoidance and Internet addiction and whether gender plays a role in the relation. A total of 2731 participants (934 male, Meanage=18.03) were recruited from a university at the baseline study (December 2019). Data was collected at all 3 time points across one year (2019?2020), using 6-month intervals. Experiential avoidance, depression and Internet addiction were assessed using the Acceptance and Action Questionnaire-II (AAQ-II), the Beck Depression Inventory-II (BDI-II) questionnaire, and Young?s Internet Addiction Test (IAT), respectively. Cross-lagged panel models were used to evaluate the longitudinal association and the mediating effect. Multigroup analyses were conducted to examine gender differences in the models.Cross-lagged models indicated that experiential avoidance significantly predicted subsequent depression, and depression significantly predicted subsequent Internet addiction. Furthermore, mediation analyses showed that depression has a mediating effect in the relation between experiential avoidance and Internet addiction (? = 0.010, 95%CI[0.003, 0.018], p>0.001). Multigroup analyses demonstrated that the pattern of structural relations stayed consistent across gender. The findings indicated that experiential avoidance is indirectly related to Internet addiction through depression, suggesting that treatments targeted at reducing experiential avoidance could help relieve depression and thus decrease the risk of Internet addiction. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-023-04511-6.

Disrupted functional connectivity of the cerebellum with default mode and frontoparietal networks in young adults with major depressive disorder.

Cerebellar dysconnectivity has repeatedly been documented in major depressive disorder (MDD). The cerebellum is composed of multiple functionally distinct subunits, and whether those subunits show similar or distinct dysconnectivity patterns with the cerebrum in MDD, is still unclear and needs to be further clarified. In this study, 91 MDD patients (23 male and 68 female) and 59 demographically matched healthy controls (22 male and 37 female) were enrolled to explore the cerebellar-cerebral dysconnectivity pattern in MDD by using the cutting-edge cerebellar partition atlas. Results showed that MDD patients exhibit decreased cerebellar connectivity with cerebral regions of default mode (DMN), frontoparietal networks (FPN), and visual areas. The dysconnectivity pattern was statistically similar across cerebellar subunits, with no significant diagnosis-by-subunit interactions. Correlation analyzes showed that cerebellar-dorsal lateral prefrontal cortex (DLPFC) connectivity is significantly correlated with anhedonia in MDD patients. Such dysconnectivity pattern was not affected by sex, which, however, should be further replicated in larger samples. These findings suggest a generalized disrupted cerebellar-cerebral connectivity pattern in MDD across all cerebellar subunits, which partially accounts for depressive symptoms in MDD, thus highlighting the pivotal role of the disrupted connectivity of cerebellum with DMN and FPN in the neuropathology of depression.

The anticipatory and consummatory interpersonal pleasure scale: Applicability to Chinese OCD patients.

As a transdiagnostic symptom, social anhedonia has gained increasing attention. Evidence suggests that obsessive-compulsive disorder (OCD) patients demonstrate social anhedonia. This study examined the psychometric properties of the Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS) in an undergraduate sample and Chinese OCD patients. Furthermore, we explored the relationship between clinical symptoms and ACIPS scores. This study involved 3,306 undergraduate students and 293 patients with OCD. Internal consistency and convergent validity of ACIPS were examined. Confirmatory factor analysis (CFA) was applied to determine the best-fitting of potential factor models, and multi-group CFA was used to examine measurement invariance across genders and samples. Additionally, hierarchical linear regression was conducted in order to investigate the relationship between clinical symptoms and ACIPS scores in patients suffering from OCD. ACIPS showed acceptable internal consistency in undergraduate and OCD samples (Cronbach's α = 0.93 and 0.89, respectively). In both samples, the four-factor structure had the best fit index. Scalar invariance was established across undergraduate and OCD samples, while residual invariance was established across genders. In both samples, the ACIPS was significantly correlated with the Revised Social Anhedonia Scale and Beck Depression Inventory. Depression and the severity of obsessive thoughts significantly and negatively correlated with the ACIPS score in OCD patients (p < 0.05). In conclusion, ACIPS is a reliable, effective, simple, and convenient tool for the assessment of social anhedonia. Depression and obsessive thoughts contribute to social anhedonia in OCD patients.

Social anhedonia affects the trajectory of internet addiction in the college students: A latent growth curve analysis.

BACKGROUND/AIM: There is growing awareness that anhedonia plays a critical role in the development of Internet Addictions (IA). However, anhedonia is a multidimensional construct and different aspects of anhedonia may exert different effects on IA. This study was designed to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of IA among college students. METHODS: A total of 3577 Chinese college freshmen (Mage = 18.01, SD = 0.77; 65.4 % girls) participated in a 2-year, four waves longitudinal tracking study. The latent growth curve model (LGCM) was constructed to examine the impacts of different types of anhedonia on the developmental trajectories of IA. Gender was also added to the conditional LGCM as time-invariant variable. RESULTS: The results of unconditional LGCM showed a U-shape developmental trajectory of IA. Social anhedonia significantly affected the intercept (ß = 0.468, p < 0.001) and significantly affected the linear slope (ß = -0.259, p < 0.05), but not the quadratic slope (ß = 0.293, p > 0.05). Physical anhedonia was not significantly associated with intercept, linear slope and quadratic slope. There was no sex difference in both initial levels and change rate of IA. CONCLUSIONS: Social anhedonia while not physical anhedonia has prediction effect on IA. College students with high levels of social anhedonia experienced high levels of IA at baseline, and performed a slower rate in downward trend of IA. The findings of the current study provide implications for prevention of IA in college students.

Childhood experiences of threat and deprivation predict distinct depressive symptoms: A parallel latent growth curve model.

BACKGROUND/AIM: There is growing awareness that specific childhood trauma (CT) may confer to the unique risk of depression, but little is known about this. The present study seeks to provide insight into how CT subtypes may impact distinct depressive symptoms over time based on the dimensional model of adversity (DMA). METHODS: A total of 3535 college freshmen participated in a 2-year, four waves longitudinal tracking study. A conditional parallel latent growth curve model (LGCM) was constructed to examine the impacts of different types of CT (threat and deprivation) on the development of depressed mood and anhedonia, and whether these relationships vary across gender. RESULTS: Our findings revealed that threat and deprivation could differentially relate to depressed mood and anhedonia. Both threat and deprivation predicted initial depressed mood levels (ß = 0.309, p < 0.001; ß = 0.175, p < 0.001, respectively) and its trajectory (ß = -0.139, p = 0.068; ß = -0.168, p < 0.05, respectively). Only deprivation predicted anhedonia levels (ß = 0.318, p < 0.001) and trajectory (ß = -0.218, p < 0.001). This pattern of relationships between CT and depressive symptoms varied across gender. CONCLUSION: These findings highlight specific pathways and symptomatic manifestations of the impacts of different CT subtypes on depression and are consistent with the hypothesis of DMA. Threat and deprivation predicted more severe depressed mood, whereas deprivation uniquely conferred to the risk of depression via elevated anhedonia. Meanwhile, the deleterious effects of CT would persist during early adulthood. Gender differences were also discussed.