Cognitive Model Of Depression Research Articles

Attentional Bias in Older Adults with Non-Clinical Depression: An Eye-Tracking Study

ABSTRACT Background Cognitive models of depression assert that attentional biases play an important role in the maintenance of depression. However, few studies have explored attentional bias in depressed older adults, and no consistent conclusions have been reached. Methods In the current study, we investigated attentional bias in older adults with non-clinical depression. Older adults aged over 60 with non-clinical depression and without depression were instructed to perform a free viewing task while their eye movements were tracked. Results The results showed that, compared to older adults without depression, non-clinically depressed older adults had longer total fixation durations and a greater number of fixations on sad stimuli. Moreover, non-depressed older adults exhibited a preference for pleasant images, whereas this effect was not observed in older adults with non-clinical depression. Conclusion This study suggested that non-clinically depressed older adults have attentional bias, which is manifested as increased attention to sad stimuli and decreased attention to pleasant stimuli.The current study has functional and potential functional implications.

'Who will I become?': possible selves and depression symptoms in adolescents.

Adolescence is an important period for the development of the possible self. It is also a time when depression is prevalent. The cognitive theory of depression proposes that a negative view of the future is a key feature of depression. Targeting these negative thoughts about the future during cognitive behavioural therapy may be helpful in depression. However, little is known about how adolescents envisage their future (i.e. possible) self, or if the content is associated with affect. The aim of this quantitative study is to describe how adolescents describe their 'possible self' and examine the relationship between the valence of the possible self and depression in adolescents. Adolescents (n = 584) aged 13-18 years were recruited via opportunity sampling via their schools and completed measures of depression symptoms (the Mood and Feelings Questionnaire) and the 'possible self' (a variant of the 'I Will Be' task). Possible selves were coded for content and valence. Despite depression severity, the most common possible selves generated by adolescents were positive and described interpersonal roles. The valence of the possible self was associated with depression severity but only accounted for 3.4% of the variance in severity. The results support the cognitive model of depression. However, adolescents with elevated symptoms of depression were able to generate positive, possible selves and therefore may remain somewhat 'hopeful' about their future despite clinically significant depression symptoms. Future-oriented treatment approaches such as cognitive behavioural therapy that focus on changing unhelpful negative future thinking may not be appropriate for this population.

A cognitive model of depression and political attitudes

Depression is among the most prevalent mental health problems. Previous research indicates that depressive symptoms and cognitive regulation processes are differentially associated with political attitudes. Here we build and test a model based on cognitive aspects of depression that provides an explanation for those differential associations. We test this formulation using a novel survey dataset that includes measures of worry and stress due to the COVID-19 pandemic, cognitive regulation processes, and depression. We posit that rumination mediates the association between depression and self-related political attitudes, whereas negativity bias mediates the association between depression and government-related attitudes. We find considerable support for these claims. Our findings elucidate how depression may influence people's perceptions of politics.

Dysfunctional Attitudes Versus Metacognitive Beliefs as Within-Person Predictors of Depressive Symptoms Over Time

Understanding within-person variation between theorized mechanisms of disorder and depressive symptoms can help identify targets for interventions. Cognitive models of depression hypothesize dysfunctional attitudes as underlying vulnerability factors, while the metacognitive model places emphasis on dysfunctional metacognitive beliefs. However, no previous study has tested the relative importance of change in dysfunctional attitudes and metacognitive beliefs as predictors of change in depressive symptoms within individuals. In a sample of 1,418 individuals measured at four time-points separated by 5-week intervals, a multilevel model approach was used to test the relative importance of change in dysfunctional attitudes and metacognitive beliefs as predictors of change in depressive symptoms. Change in dysfunctional attitudes and metacognitive beliefs predicted change in depressive symptoms over time. However, change in metacognitive beliefs and in particular negative metacognitive beliefs and judgements of cognitive confidence were significantly stronger predictors of change in depressive symptoms compared to dysfunctional attitudes. Furthermore, change in metacognitive beliefs predicted change in dysfunctional attitudes beyond change in depressive symptoms. These results suggest that metacognitive beliefs rather than dysfunctional attitudes might be more important for depressive symptoms over time within persons and that metacognitive change may also influence dysfunctional attitudes over time. Metacognitive beliefs are therefore a promising target for treatment and prevention aiming to reduce depressive symptoms, but replication of our results in clinical samples is warranted before more clear conclusions can be drawn.

The relationship between harsh parenting and adolescent depression

Guided by Beck’s cognitive model of depression, this study comprehensively explores the mechanisms linking harsh parenting, rumination, and victimization to the development of adolescent depression. A total of 5047 adolescents were assessed using the Harsh Parenting Scale, Rumination Scale, Olweus Bullying/Victimization Questionnaire, and Beck Depression Inventory. The results indicated that harsh parenting positively influences adolescent depression. Moreover, rumination emerged as an important mediator between harsh parenting and adolescent depression, similar to victimization. Additionally, we found that both rumination and victimization act as chain mediators in the relationship between harsh parenting and adolescent depression. These findings demonstrate that harsh parenting impacts adolescent depression mediated by rumination and victimization. By shedding light on these mechanisms, this study improves our comprehension of how harsh parenting influences adolescent depression and offers valuable insights for designing interventions to alleviate depression in this population.

‘I am tired, sad and kind’: self-evaluation and symptoms of depression in adolescents

IntroductionAlthough self-evaluation i.e., negative perceptions of the self is a common depression symptom in adolescents, little is known about how this population spontaneously describe their self and available data on adolescent self-evaluation is limited. This study aimed to generate and report on a list of words used by healthy adolescents and those with elevated depression symptoms to describe their self-evaluation. Linguistic analysis (LIWC) was then used to compare self-evaluation between the two groups.MethodsAdolescents aged 13–18 years (n = 549) completed a measure of depression symptoms (the Mood and Feelings Questionnaire) and a measure of self-evaluation (the Twenty Statements Test). Responses were then collated and presented in a freely accessible resource and coded using Linguistic Inquiry Word Count (LIWC) analysis.ResultsSelf-evaluation words generated by adolescents were uploaded to a publicly accessible site for future research: https://doi.org/10.15125/BATH-01234. Adolescents with elevated depression symptoms described themselves as ‘Tired’ and ‘Sad’ more than healthy adolescents. However, there was no difference between groups in respect to their use of specific positive, prosocial self-evaluation ‘words’ (i.e., ‘Caring’ and ‘Kind). Following Linguistic Inquiry Word Count (LIWC) analysis, adolescents with elevated depression symptoms generated significantly more words than healthy adolescents, generated more words classified as negative emotion, anxiety and sadness and generated fewer words classified positive emotion than healthy adolescents.ConclusionsAs predicted by the cognitive model of depression, our findings suggest that adolescents with elevated symptoms of depression generated more negative self-evaluation words than healthy adolescents; however they also generated prosocial positive self-evaluation words at the same rate as non-depressed adolescents. These novel data therefore identify an ‘island’ of resilience that could be targeted and amplified by psychological treatments for adolescent depression, and thus provide an additional technique of change.

Study directions and development of cognitive theory of depression.

Aaron T. Beck's cognitive model of depression became the basis for the analysis of cognitive factors as significant correlates and predictors of depression. Psychological mechanisms of depression related to the depressive cognitive triad, the specificity of cognitive schemas and errors in cognitive processing determined the directions of further research on depression. The presented analysis of selected studies confirms and extends Beck's assumptions about the role of cognitive factors in the development and maintenance of depressive symptoms. The analysis of psychological, neuroimaging and biochemical studies provides a broader perspective of understanding both the etiology and mechanisms that sustain the symptoms of depression. The development of neuroimaging research has broadened the knowledge about the brain mechanisms of depression - the presented research combine the theoretical constructs of the cognitive concept of depression with the characteristics of the activity of brain structures and their functional connections. The following conclusions seem to be particularly important for clinical practice: 1) impairment of the cognitive inhibition function in depression reduces the control of negative automatic thoughts - strengthening working memory is important; 2) different brain mechanisms for processing rewards and punishments in people suffering from depression and in healthy people explain the formation of self-esteem - this knowledge can be an important element of psychoeducation in therapeutic work; 3) neuroimaging studies indicate neuronal correlates of cognitive distortions observed in depression - for further research on depression, it would be particularly important to monitor changes in brain activity in the course of its treatment.

Transformation of Cognitive Behavior Therapy as a Psychotherapeutic Intervention in Contemporary Health Care: A Review

Cognitive behavior therapy (CBT) is an evidence-based intervention in contemporary clinical health care services. CBT was developed as a psychotherapy to overcome the deficits of psychoanalysis and behaviorism by Aron T. Beck. However, after 63 years, CBT has transformed from its early framework. In comparison to other psychotherapies, cognitive behavior therapy has rapidly changed and developed as an evidence-based clinical intervention. Therefore, this study explored the evolution of cognitive behavior therapy by focusing on its origin, development, limitations, clinical application, third waves, and future directions. Early CBT therapeutic framework has developed as a cognitive model of depression and developed as an intervention to address the negative core belief of individuals and rationalize maladaptive behaviors, thoughts, and emotions. However, clinicians have experienced several limitations and scholars have recognized theoretical limitations in CBT. Later, scholars on CBT have overcome these deficits and developed disorder-specific CBT therapies. Then, clinicians empirically evaluate those therapeutic frameworks and transform CBT into an evidence-based clinical intervention. Further, CBT has strength in integrating third-wave therapies. In the future, CBT will therapeutically further transform with technology, integrating advanced theories of pathology, and clinical demand of the present health care services. Therefore, as a psychotherapeutic intervention, cognitive behavior therapy has transformed from its early framework, and at present, it has developed empirically. Further, in the future, it will transform into a more effective psychotherapeutic intervention.

Loss of superiority illusion in bipolar depressive disorder: A combined functional and structural MRI study

Superiority illusion (SI) is a positive cognitive bias related to self, manifested as overestimated self-appraisal. Negative self-schema is a core feature of the cognitive model of depression, including bipolar depressive disorder (BDD). However, only little research has explored the impaired self-processing in BDD. The potential alteration of positive self-bias and the corresponding neural mechanism in BDD remains unclear. This study aimed to investigate the underlying neural mechanism of self-processing in BDD combining task-related functional magnetic resonance imaging and high-resolution T1 structural imaging. Forty-three BDD and forty-eight healthy controls were recruited and underwent a self-related task, where participants were required to evaluate how they compared with their average peers on a serial of positive and negative traits. We defined the ratio of neural activation and gray matter volume (GMV) in a region as the functional–structural coupling index to detect the changes of brain image in BDD. Furthermore, we used moderation analysis to explore the relationship among functional–structural coupling, behavioral scores and depression symptoms. BDD exhibited decreased task activation, GMV, and functional–structural coupling in bilateral anterior insula (AI) and inferior parietal lobule (IPL). The associations between functional–structural coupling in the right AI, IPL and negative trait self-rating scores were moderated by depressive symptom severity. The study revealed disturbed self-related processing and provided new evidences to neuropsychological dysfunction in BDD.

Negative cognitive schema modification as mediator of symptom improvement after electroconvulsive therapy in major depressive disorder

BackgroundElectroconvulsive therapy (ECT) is a potent option for treatment-resistant major depressive disorder (MDD). Cognitive models of depression posit that negative cognitions and underlying all-or-nothing negative schemas contribute to and perpetuate depressed mood. This study investigates whether ECT can modify negative schemas, potentially via memory reactivation, and whether such changes are related to MDD symptom improvement. MethodSeventy-two patients were randomized to either an emotional memory reactivation electroconvulsive therapy (EMR-ECT) or control memory reactivation electroconvulsive therapy (CMR-ECT) intervention prior to ECT-sessions in a randomized controlled trail. Emotional memories associated with patients' depression were reactivated before ECT-sessions. At baseline and after the ECT-course, negative schemas and depression severity were assessed using the Dysfunctional Attitude Scale (DAS) and Hamilton Depression Rating Scale HDRS. Mediation analyses were used to examine whether the effects of ECT on HDRS-scores were mediated by changes in DAS-scores or vice versa. ResultsPost-ECT DAS-scores were significantly lower compared to baseline. Post-ECT, the mean HDRS-score of the whole sample (15.10 ± 8.65 [SD]; n = 59) was lower compared to baseline (24.83 ± 5.91 [SD]). Multiple regression analysis showed no significant influence of memory reactivation on schema improvement. Path analysis showed that depression improvement was mediated by improvement of negative cognitive schemas. ConclusionECT is associated with improvement of negative schemas, which appears to mediate the improvement of depressive symptoms. An emotional memory intervention aimed to modify negative schemas showed no additional effect.

Neural correlates of sustained attention and cognitive control in depression and rumination: An ERP study

Attention problems and risk for depression are often associated with a trait tendency towards rumination. Although theorists have linked rumination to deficits in attention, the nature of its effect on cognitive control, and how it may interact with depression remains unclear. Therefore, this study explored cognitive control in depression and two forms of rumination (brooding and reflection) associated with passive and analytic responses to negative mood, respectively. An electrophysiological Go/NoGo vigilance task was used to measure N2 and P3 event related potentials (ERPs) associated with the recruitment of cognitive resources and inhibition of motor responses in the task, respectively. Participants continuous levels of depressive symptoms and trait levels of each form of rumination were also obtained by self-report. Consistent with prior research, significantly larger mean amplitudes in the N2 and P3 ranges were observed in NoGo versus Go trials. A significant interaction between reflection and depression on P3 amplitudes was observed, indicating that at high levels of reflection, as depression increased P3 amplitudes to NoGo trials also increased. Levels of depression and reflection were not significantly associated with accuracy or reaction time in the task. No significant interactions between depression and brooding, or main effect of brooding was observed on any task measure. Thus, high levels of reflection may uniquely and negatively impact the efficiency that cognitive resources are applied during goal directed behavior in depression. Results are discussed in relation to cognitive models of depression and rumination.

Cognitive Control, Cognitive Biases and Emotion Regulation in Depression: A New Proposal for an Integrative Interplay Model.

Research traditions on cognition and depression focus on relatively unconnected aspects of cognitive functioning. On one hand, the neuropsychological perspective has concentrated on cognitive control difficulties as a prominent feature of this condition. On the other hand, the clinical psychology perspective has focused on cognitive biases and repetitive negative patterns of thinking (i.e., rumination) for emotional information. A review of the literature from both fields reveals that difficulties are more evident for mood-congruent materials, suggesting that cognitive control difficulties interact with cognitive biases to hinder cognitive switching, working memory updating, and inhibition of irrelevant information. Connecting research from these two traditions, we propose a novel integrative cognitive model of depression in which the interplay between mood-congruent cognitive control difficulties, cognitive biases, and rumination may ultimately lead to ineffective emotion-regulation strategies to downregulate negative mood and upregulate positive mood.

Emotion Regulation as a Mediator in the Relationship Between Cognitive Biases and Depressive Symptoms in Depressed, At-risk and Healthy Children and Adolescents

Contemporary cognitive models of depression propose that cognitive biases for negative information at the level of attention (attention biases; AB) and interpretation (interpretation biases; IB) increase depression risk by promoting maladaptive emotion regulation (ER). So far, empirical support testing interactions between these variables is restricted to non-clinical and clinical adult samples. The aim of the current study was to extend these findings to a sample of children and adolescents. This cross-sectional study included 109 children aged 9–14 years who completed behavioural measures of AB (passive-viewing task) and IB (scrambled sentences task) as well as self-report measures of ER and depressive symptoms. In order to maximize the variance in these outcomes we included participants with a clinical diagnosis of depression as well as non-depressed youth with an elevated familial risk of depression and non-depressed youth with a low familial risk of depression. Path model analysis indicated that all variables (AB, IB, adaptive and maladaptive ER) had a direct effect on depressive symptoms. IB and AB also had significant indirect effects on depressive symptoms via maladaptive and adaptive ER. These findings provide initial support for the role of ER as a mediator between cognitive biases and depressive symptoms and provide the foundations for future experimental and longitudinal studies. In contrast to studies in adult samples, both adaptive as well as maladaptive ER mediated the effect of cognitive biases on depressive symptoms. This suggests potentially developmental differences in the role of ER across the lifespan.

An Eye-Tracking Study of Attention Biases in Children at High Familial Risk for Depression and Their Parents with Depression

Attention biases (AB) are a core component of cognitive models of depression yet it is unclear what role they play in the transgenerational transmission of depression. 44 children (9–14 years) with a high familial risk of depression (HR) were compared on multiple measures of AB with 36 children with a low familial risk of depression (LR). Their parents: 44 adults with a history of depression (HD) and 36 adults with no history of psychiatric disorder (ND) were also compared. There was no evidence of group differences in AB; neither between the HR and LR children, nor between HD and ND parents. There was no evidence of a correlation between parent and child AB. The internal consistency of the tasks varied greatly. The Dot-Probe Task showed unacceptable reliability whereas the behavioral index of the Visual-Search Task and an eye-tracking index of the Passive-Viewing Task showed better reliability. There was little correlation between the AB tasks and the tasks showed minimal convergence with symptoms of depression or anxiety. The null-findings of the current study contradict our expectations and much of the previous literature. They may be due to the poor psychometric properties associated with some of the AB indices, the unreliability of AB in general, or the relatively modest sample size. The poor reliability of the tasks in our sample suggest caution should be taken when interpreting the positive findings of previous studies which have used similar methods and populations.

Association between depression and hostile attribution bias in hostile and non-hostile individuals: An ERP study

BackgroundHostility and aggression have been found to be highly prevalent among depressed patients and are associated with higher comorbidity and illness severity levels. Although negative interpretation biases are a fundamental element of cognitive models of depression, few studies have examined the specific biases in information processing, mainly the hostile attribution bias, found in hostile individuals who present depressive symptoms. MethodUsing pre-collected data from a sample of 72 (male=41,6%, female=58,3%) undergraduate and community-based hostile (n = 26) and non-hostile (n = 46) adult participants, the authors aimed to examine the association between depression and the hostile attribution bias by determining whether depression level scores were uniquely related to electrophysiological measures of the hostile attribution bias. ResultsThe hostile group showed higher measured levels of depression and reactive aggression compared to the non-hostile group. Also, depression scores were significant predictors of the N400 effect in the non-hostile task condition, while reactive aggression was not, whereas in the hostile condition, the overall model was significant, with depression and reactive aggression levels both showing strong trends towards significance. LimitationsA small sample size limited the scope of our conclusions. Also, sample selection prevented us from examining specific group differences regarding the hostile attribution bias in depressed and non-depressed groups. ConclusionClinical and research implications include the necessity to apply cognitive restructuring techniques to counter biased interpretation processes in settings where depression and aggression intersect, and the need to consider alternatives to self-evaluative methodologies.

Interrelation Between Increased BDNF Gene Methylation and High Sociotropy, a Personality Vulnerability Factor in Cognitive Model of Depression.

PurposeIt is suggested that increased methylation of the brain-derived neurotrophic factor (BDNF) gene is involved in the pathogenesis of depression, while sociotropy and autonomy are proposed as personality vulnerability factors in cognitive model of depression. We examined the interrelation between BDNF gene methylation and sociotropy or autonomy, with taking into account the previously reported deleterious effect of parental overprotection on sociotropy.Materials and MethodsThe participants consisted of 90 healthy Japanese volunteers. Methylation levels of the BDNF gene in peripheral blood were quantified by bisulfite pyrosequencing. Sociotropy and autonomy were assessed by the Sociotropy-Autonomy Scale, and perceived parental protection was evaluated by the Parental Bonding Instrument.ResultsIn Pearson’s correlation analysis, there was a positive correlation between methylation levels of the BDNF gene and sociotropy scores (p<0.05) but not autonomy scores, and a positive correlation between maternal protection scores and sociotropy scores (p<0.05). In structural equation modeling, two models were proposed; the first one is that hypermethylation of the BDNF gene and maternal overprotection independently contribute to high sociotropy, and the second one is that maternal overprotection contributes to high sociotropy which then leads to hypermethylation of the BDNF gene.ConclusionThe present study suggests an interrelation between increased BDNF gene methylation and high sociotropy.

Attentional biases in depression: Relation to disorder severity, rumination, and anhedonia

IntroductionAccording to cognitive models of depression, selective attentional biases (ABs) for mood-congruent information are core vulnerability factors of depression maintenance. However, findings concerning the presence of these biases in depression are mixed. This study aims to clarify the presence of these ABs among individuals with clinical and subclinical depression. MethodWe compared three groups based on a semi-structured diagnostic interview and a depressive symptoms scale (BDI-II): 34 individuals with major depressive disorder (clinically depressed); 35 with a dysphoric mood but without the criteria of major depressive disorder (i.e., subclinically depressed), and 26 never been depressed individuals. We examined AB for sad and happy materials in three modified versions of the exogenous cueing task using scenes, facial expressions, and words. Brooding, anhedonia, and anxiety were also evaluated. ResultsIn contrast to our hypotheses, there were no ABs for negative or positive information, regardless of the task and the groups. Neither the association between AB toward negative information and brooding nor the one between AB away from positive stimuli and anhedonia was significant. Bayes factors analyses revealed that the present pattern of findings does not result from a lack of statistical power. DiscussionOur results raise questions about how common AB is in depression. From a theoretical point of view, because individuals with depression did not exhibit AB, our results also seemingly challenge the claim that AB figures prominently in the maintenance of depression. We believe the present null results to be particularly useful for future meta-research in the field.

Associations of negative cognitions, emotional regulation, and depression symptoms across four continents: International\xa0support for the cognitive model of depression

BackgroundCognitive-behavioral therapy (CBT) is one of the most widely tested and empirically supported psychological treatments for depression. Beck and other scholars established the theoretical foundations of CBT among North American populations, yet surprisingly few studies have examined central hypotheses of the cognitive model of depression among people living in non-Western regions.MethodsIn the present study, we used the alignment method to minimize measurement bias to examine several central hypotheses of the cognitive model among adults living on four continents (n = 752): North America (n = 103; female = 29.1%), Europe (n = 404; female = 36.4%), South America (n = 108; female = 18.5%), and Asia (n = 136; female = 19.9%).ResultsDepressive symptoms were positively and strongly correlated with negative automatic thoughts about self (ATQ-N), and moderately associated with dysfunctional attitudes (DAS) among people living on the four continents. Further, use of emotional suppression strategies to regulate emotion (ERQ-Suppression) was moderately and positively associated with depressive symptoms among people on all four continents, while use of cognitive-reappraisal (ERQ-Reappraisal) was not systematically associated with depressive symptoms.ConclusionsResults of this study offer preliminary cross-continental support for foundational hypotheses of the cognitive model of depression. Negative thoughts appear to be associated with depression in all regions of the world, cementing this construct as a hallmark feature of the disorder.

Further Specifying the Cognitive Model of Depression: Situational Expectations and Global Cognitions as Predictors of Depressive Symptoms

The cognitive model of depression assumes that depressive symptoms are influenced by dysfunctional cognitions. To further specify this model, the present study aimed to examine the influence of different types of cognitions on depressive symptoms, i.e., situational expectations and global cognitions. It was hypothesized that situational expectations predict depressive symptoms beyond global cognitions. The present study examined a clinical (N = 91) and a healthy sample (N = 80) using longitudinal data with a baseline assessment and a follow-up five months later. Although the study was not designed as an interventional trial, participants from the clinical study received non-manualized cognitive-behavioral treatment after the baseline assessment. We examined situational expectations, intermediate beliefs, dispositional optimism, and generalized expectancies for negative mood regulation as predictors of depressive symptoms. Hypotheses were tested using multiple hierarchical linear regression analyses. Results indicate that, although there were significant correlations between the cognitive factors and depressive symptoms, in both samples neither global cognitions, nor situational expectations significantly predicted depressive symptoms at the five-month follow-up. The present study could, contrary to the hypotheses, not provide evidence for a significant impact of cognitive vulnerabilities on depressive symptoms, presumably due to high drop-out rates at follow-up. Limitations of the study and directions for future research are critically discussed. Situational and global cognitions were examined as predictors of depressive symptoms. In a healthy and a clinical sample, cognitive factors were correlated with depressive symptoms. However, in both samples depressive symptoms at follow-up were not predicted by cognitive factors. Situational and global cognitions were examined as predictors of depressive symptoms. In a healthy and a clinical sample, cognitive factors were correlated with depressive symptoms. However, in both samples depressive symptoms at follow-up were not predicted by cognitive factors.

Neuroticism modulates neural activities of posterior cingulate cortex and thalamus during psychosocial stress processing

ObjectiveIndividuals with higher neuroticism are vulnerable to stress and are prone to develop depression, however, the neural mechanisms underlying it have not been clarified clearly. MethodThe Montreal Imaging Stress Task (MIST) was administered to 148 healthy adults during functional magnetic resonance imaging (fMRI). Whole-brain voxel-wise regression analyses were used to detect associations of neuroticism with neural activity involved in perceiving and processing psychosocial stress. In addition, two-sample t-tests were conducted between the high-neurotic and low-neurotic group in order to supplement the results found in regression analyses. ResultsHigher neuroticism scores were associated with higher activities in the posterior cingulate cortex (PCC)/precuneus and thalamus (p < 0.05, false discovery rate correction). Moreover, two sample t-tests also revealed that the high-neurotic group had higher neural stress responses in precuneus and bilateral thalamus in comparison to the low-neurotic group (p < 0.05, false discovery rate correction). LimitationsOur study mainly recruited young adults, which may limit the generalizability of our findings. ConclusionsOur findings highlight the crucial role of PCC/precuneus and thalamus in the association between neuroticism and stress and may provide insight into the cognitive model of depression.