Skip to main content

OPINION article

Front. Behav. Neurosci., 21 December 2022
Sec. Emotion Regulation and Processing
This article is part of the Research Topic Towards a Mechanistic Understanding of Depression, Anxiety, and Their Comorbidity: Perspectives from Cognitive Neuroscience View all 9 articles

Comorbid depression and anxiety: Integration of insights from attachment theory and cognitive neuroscience, and their implications for research and treatment

  • Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India

Depressive and anxiety disorders are the commonest mental disorders worldwide. These disorders are highly comorbid with each other. A number of biological and psychological processes have been invoked to explain this degree of comorbidity, but these mechanisms require integration into an empirically verifiable explanatory model that would guide research and therapeutic strategies. Attachment theory provides a theoretical framework to account for the co-occurrence of anxiety and depression, as part of the triphasic response to separation. Early childhood attachment can be classified as secure or insecure. Insecure attachment to caregivers can predispose to the development of both anxiety and depression in adult life, particularly in response to interpersonal or social stressors. Cognitive neuroscience provides a complementary approach to understanding this comorbidity, based on altered information processing in specific brain circuits. Contemporary research has deepened our understanding of the neurobiological correlates of insecure attachment, and has permitted the identification of a substantial overlap between the constructs of attachment theory and the empirical findings of cognitive neuroscience. More specifically, it is now possible to outline the manner in which insecure attachment leads to alterations in higher-order cognitive, affective and social processes that predispose to both depression and anxiety. In this paper, I highlight findings linking attachment theory and cognitive neuroscience in patients with comorbid anxiety and depression, outline the causal pathways involved, and discuss the manner in which these insights can lead to improved strategies for prevention, early intervention, and more effective treatment of this pattern of comorbidity.

Introduction

A. Comorbid depression and anxiety: An overview

Depressive and anxiety disorders are the commonest mental disorders worldwide. Estimates from the Global Burden of Disease Study (2019) suggest that over 279 million people suffer from depressive disorders, and over 301 million suffer from anxiety disorders (GBD 2019 Mental Disorders Collaborators, 2022). In addition to their high prevalence, depression and anxiety disorders are highly comorbid with each other. A meta-analysis of over 170 published studies suggests that the median odds ratio for comorbidity between these disorders is over 6: in other words, individuals with one group of disorders are six times more likely to have the other disorder than those without either diagnosis (Saha et al., 2021). The presence of comorbid depression and anxiety has significant implications in terms of the course and outcome of both disorders: people with comorbid depression and anxiety tend to have an earlier age at onset of either illness, higher rates of childhood trauma, higher levels of neuroticism, more severe functional impairment, and a poorer treatment response (Hung et al., 2020; Breteler et al., 2021; ter Meulen et al., 2021).

A number of biological mechanisms have been proposed to account for this comorbidity, including shared genetic architecture (Cerda et al., 2010), alterations in immune-inflammatory pathways (Gaspersz et al., 2018), dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis (Vreeburg et al., 2013; Steudte-Schmiedgen et al., 2017), abnormalities of the gut-brain axis (Simpson et al., 2021), and altered functioning of specific brain regions such as the frontal and temporal cortices, insula, amygdala and basal ganglia (Nawjin et al., 2022; Sindermann et al., 2022). From a psychosocial perspective, this comorbidity has been seen as reflecting a shared temperamental diathesis (Jeronimus et al., 2016), exposure to specific risk factors in childhood or later life (Teicher and Samson, 2013; van Tol et al., 2021), or a combination thereof. From a neuroscientific perspective, comorbid anxiety and depression can be understood in terms of dysfunction of specific brain circuits or modules involved in the resolution of short- and long-term goal conflicts. These modules are themselves influenced by both genetic and environmental factors (McNaughton and Corr, 2016).

From a nosological as well as a therapeutic perspective, an overarching theoretical model that could integrate these findings is required. Such a model would facilitate the development of novel approaches in the treatment of comorbid depression and anxiety, and overcome the limitations inherent in existing categorical classifications (Demyttenaere and Heirman, 2020; Tanaka et al., 2022a,b,c). This paper begins by examining the potential utility of attachment theory, as developed by John Bowlby and his collaborators and refined through subsequent decades of research, as one such integrative model. Next, the complementary perspective provided by cognitive neuroscience approaches to comorbid depression and anxiety is outlined, followed by the findings of clinical and neurobiological research that suggest an overlap between these two perspectives. Finally, a proposal for the integration of attachment and cognitive neuroscience findings in this patient population is outlined, and its implications for research, prevention and treatment are discussed.

B. Attachment theory and cognitive neuroscience

Attachment theory was originally formulated by John Bowlby in response to the limitations of psychodynamic approaches to the management of anxiety and depression. Thus, from its conception, this model was intended to address the development and management of these conditions. According to attachment theory, behavior aimed at maintaining proximity to an attachment figure—usually the mother—from the earliest stage of life is a pre-programmed, evolutionarily conserved process whose primary function is protection from predators or other dangers (Bowlby, 1988). In addition to this primordial function, attachment in humans also serves the purpose of forming neural representations (“internal working models”) of the self, others, and the relationships between them, thereby influencing the development of higher-order processes such as emotion regulation, inhibitory control, communication skills, and social behavior (Bowlby, 1998; Laurita et al., 2019; Kamza and Putko, 2021). Separations from an attachment figure in early life, most typically between the ages of 6 months and 3 years, evoke a typical tripartite response: an initial phase of anxiety and anger, a subsequent phase of sadness or depression, and finally a period of “detachment” if separation is unduly prolonged or severe (Bowlby, 1988). The process of attachment does not depend exclusively on the caregiver's responses to the child, but is also influenced by the child's temperament (Raby et al., 2012). Childhood temperament is determined both by genetics and by pre- or perinatal factors influencing brain development (Takegata et al., 2021). Over time, individuals develop a typical “attachment style” which may be either “secure” or “insecure”, and this style forms a cognitive, affective and behavioral template for subsequent relationships in adolescence or adulthood (Shahab et al., 2021). In the initial work of Bowlby and Ainsworth, attachment was classified as “secure” or “insecure” based on the child's observed response to temporary separation from their caregiver under controlled conditions (Voges et al., 2019). Subsequent research led to identification of three subtypes of insecure attachment in childhood: anxious-avoidant, anxious-ambivalent, and disorganized (Ainsworth, 1985; Cameron, 2008). Research in adults has also identified three distinct “styles” of insecure attachment in adults: preoccupied, dismissing and disorganized (Ward et al., 2006). There is evidence of significant continuity between childhood and adult attachment (Ammaniti et al., 2000; Lewis et al., 2000; Platts et al., 2005). An overview of attachment patterns in childhood and adulthood, and their continuity, is provided in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Attachment styles in childhood and adulthood.

Recent research has shed much light on the neural and molecular correlates of attachment and its relationship to higher-order cognitive processes. A particularly interesting development is the possibility that attachment representation and styles may be partially or completely embodied. This means that experiences of secure or insecure attachment are associated with alterations in sensory input (such as physical contact with a caregiver) which interact with perceptions of environmental threat via specific anatomical and chemical processes, leading to the activation of phylogenetically ancient behavioral systems including the stress response, attachment behavior, and exploratory behavior (Beckes et al., 2015). These lower-order somatic representations in turn influence both the formation of higher-order cognitive representations of the self and others, and the processing of information in social and interpersonal situations. If this process is optimal (secure attachment), then such “somatic markers” of attachment (Damasio, 1994) play an essential role in the development of subsequent social behavior, theory of mind, and stable interpersonal relationships (Long et al., 2020). On the other hand, if the process is suboptimal, higher-order information processing is inefficient or inaccurate, causing impairments in self-regulation and social behavior, and the maintenance of unstable or even abusive relationships (Miu et al., 2008; Kural and Kovacs, 2022), which predispose to the development of both depression and anxiety disorders. A graphical representation of the basic process of attachment and its neural correlates is provided in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. Processes involved in childhood attachment, their physiological correlates, and their effects on cognition and adult outcomes. VMPFC, ventromedial prefrontal cortex; HPA, hypothalamic-pituitary-adrenal.

It is notable that in his original work, Bowlby highlighted the congruence of attachment theory with cognitive theories of anxiety and depression, which were being outlined by the contemporary work of Aaron Beck (Bowlby, 1998; Beck, 2005). Thus, even in the 1960s and 1970s, when little evidence on the neurobiological correlates of attachment and its relationship to higher-order information processing was available, Bowlby envisaged a broader framework in which insecure attachment in childhood could explain the cognitive errors and biases seen in anxiety in depression (Bowlby, 1988, 1998).

Informed by the availability of neurobiological and translational evidence in subsequent decades, Beck and his colleagues discussed the manner in which cognitive models of depression and anxiety could be linked with this evidence, particularly as it pertains to emotional regulation and cognitive control in frontal and subcortical brain regions. This led to a cognitive neuroscience approach to comorbid depression and anxiety, in which cognitive errors were correlated with altered functioning of frontal-limbic circuits, which could potentially be reversed by cognitive therapy (Clark and Beck, 2010).

At this point in time, it is now possible to extend the cognitive neuroscience approach to anxiety and depression through its integration with attachment theory. Such a perspective, with is consistent with Bowlby's original vision, derives its support from research in translational models, as well as in healthy individuals and in those with anxiety and depression. For example, rodent models of early maternal separation and deprivation have been found to result in behaviors related to both anxiety and depression later in an animal's life (Rana et al., 2015; Frank et al., 2019). Likewise, it is known that representations of key figures from early childhood are neurally represented in an “attachment network” that includes the anterior cingulate and temporal cortices, insula, amygdala and thalamus (Ulmer-Yaniv et al., 2022) and that the level of anxiety associated with attachment is linked to altered functional connectivity between specific cortical areas (Deng et al., 2021). Moreover, it is increasingly clear that these representations of attachment shape processes such as social communication, social cognition and self-regulation (Jethava et al., 2022; Labek et al., 2022; Rogers et al., 2022). Impairments in these processes could increase an individual's vulnerability to both anxiety and depression, particularly when exposed to subsequent stress or adversity (Tanaka et al., 2022a). Finally, insecure attachment has been associated with increased systemic inflammation both in animal models and in humans (Ehrlich et al., 2019; Lumertz et al., 2022). Such a pro-inflammatory state can lead to symptoms of anxiety and depression both directly and through its effects on cognition (Carvalho et al., 2014; Tanaka et al., 2022b,c).

Before examining these mechanisms in more depth, it is first necessary to review the evidence for a link between disturbed attachment and the comorbidity between these disorders in clinical samples.

Attachment and comorbid anxiety and depression: 1. Clinical evidence

According to Bowlby's original proposal, significant disruptions in attachment bonds occurring in early childhood would be associated with an increased risk of depression, while repeated experiences of temporary separation, or threats of separation, could predispose to anxiety (Bowlby, 1970, 1998; Holmes, 2013). Subsequent research suggests has allowed a better delineation of the effects of disrupted attachment on the clinical profile of these disorders. In depression, insecure attachment has been associated with greater symptom severity, a higher relapse rate, suicidal behavior, reluctance to seek help and poor adherence to medication (Ozer et al., 2015; Hooper et al., 2016; Conradi et al., 2018; Huang Y. C. et al., 2019; Cacciola and Psouni, 2020). In anxiety disorders, insecure attachment has also been associated with a poorer response to both pharmacological and psychological therapies (Milrod et al., 2016; Nielsen et al., 2019; Petrowski et al., 2019). Lower levels of secure attachment also appear to predict comorbid anxiety disorder in depressed patients (Marganska et al., 2013; Huang Y. L. et al., 2019). This association appears to be most specific for social anxiety disorder, in which insecure attachment is associated with both the presence and the severity of comorbid depression (Adams et al., 2018, 2019; Elling et al., 2022). These findings are consistent with a role for disturbances in childhood attachment in the onset, persistence and co-occurrence of depressive and anxiety disorders. The above studies, and other relevant observational research on insecure attachment, are summarized in Table 2. From these findings, it is clear that both preoccupied and avoidant patterns of adult attachment are associated with comorbid anxiety and depression, though there may also be an association with disorganized attachment when this pattern is associated with significant levels of fear. Having established this result with some consistency, it is now possible to examine the underlying cellular and neurobiological processes at work in patients with these disorders.

TABLE 2
www.frontiersin.org

Table 2. Studies examining attachment patterns or styles in patients with comorbid depression and anxiety.

Attachment and comorbid anxiety and depression: 2. Mechanisms

Insecure attachment also influences fundamental cognitive and affective processes implicated in the pathogenesis of anxiety and depression. These include impairments in emotion recognition (Monti and Rudolph, 2014), emotional regulation (Malik et al., 2015; Conrad et al., 2021), and theory of mind skills (Ozer et al., 2015; Koelkebeck et al., 2017). These deficits have been documented in patients with either disorder, as well as in patients with comorbid anxiety and depression (Marques et al., 2018; Radetzki et al., 2021). In addition, experiences of disrupted attachment appear to mediate the relationship between other environmental risk factors, such as childhood poverty or sexual abuse, and the subsequent risk of depression or anxiety (Briere and Jordan, 2009; Fearon et al., 2017).

The neural mechanisms underlying these higher-order processes are better understood now than they were in Bowlby's time. Attachment security appears to be encoded in both amygdalae (Lemche et al., 2006) and severe degrees of insecure attachment are associated with increased amygdalar volume (Moutsiana et al., 2015; Lyons-Ruth et al., 2016) and hippocampal volume (Hidalgo et al., 2019). Insecure attachment is also associated with altered functioning in the prefrontal, anterior cingulate, insular and parietal cortices, basal ganglia and amygdala during the performance of tasks related to social cognition or reward. The changes observed in these regions are suggestive of inefficient information processing and heightened reactivity to external situations (Warren et al., 2010; Moutsiana et al., 2014; Schneider-Hassloff et al., 2015; Quevedo et al., 2017; Miller et al., 2020). Avoidant and anxious attachment have both been associated with specific alterations in the functioning of a “social aversion circuit” involving the dorsal anterior cingulate cortex and middle temporal gyrus; such changes may be relevant to the fear of criticism or rejection, negative cognitions and avoidance behavior that are seen in patients with comorbid anxiety and depression (Krause et al., 2016). Insecure attachment representations have also been associated with increased asymmetrical activation of the parietal cortices when processing emotional memories, potentially leading to increased arousal, impaired emotion regulation, and an increased vulnerability to both anxiety and depression (Kungl et al., 2016). Unresolved attachment has also been associated with reduced white matter integrity in the corpus callosum, leading to cognitive impairments that could serve as a “general” vulnerability factor for both anxiety disorders and depression (Riem et al., 2019). The results of these imaging studies support the hypothesis of a close link between insecure attachment, altered or impaired cognition, and an increased vulnerability to comorbid anxiety and depression.

At a neurochemical level, these changes appear to correlate with alterations in dopaminergic circuitry (Strathearn, 2011) and peptidergic transmission, particularly involving endogenous opioid peptides and oxytocin (Muller et al., 2019). In particular, mu-opioid (μ) receptor availability has been found to correlate with adult attachment (Turtonen et al., 2020); lowered availability of these receptors has been associated with symptoms of both depression and anxiety (Nummenmaa et al., 2020). Likewise, oxytocin has been found to modulate neural circuits involved in fear as well as those involved in the processing of social information. As oxytocin is a key mediator of attachment behavior, insecure attachment could alter the influence of this transmitter on the activity and connectivity of brain regions such as the amygdala. This could be particularly relevant to the comorbidity between specific anxiety disorders, such as social anxiety disorder, and depression (Kirsch et al., 2005).

Insecure attachment has also been associated with alterations in autonomic nervous functioning, increased activity of the hypothalamic-pituitary-adrenal axis, and immune dysregulation (Jaremka et al., 2013; Abtahi and Kerns, 2017), all of which have been linked to the pathogenesis of comorbid depression and anxiety (McQuaid, 2021). Among these processes, alterations in cardiac autonomic functioning may be particularly important, as they represent a potential mechanism of “embodiment” through which experiences of attachment and separation can influence fear conditioning and sensitivity to both anxiety and depression (Battaglia and Thayer, 2022; Battaglia et al., 2022a,b; Gander et al., 2022). Cross-talk between central and peripheral structures involved in fear responses, such as the ventromedial prefrontal cortex, are also crucially influenced by attachment security (Eisenberger et al., 2011; Battaglia et al., 2022a). Likewise, the effects of attachment on the functioning of the HPA axis may explain the relationship between chronic stress and the onset of depression and anxiety in insecurely attached individuals (Smyth et al., 2015). The effect of attachment security on adult personality and mental health may itself be modified by genetic factors, such as functional polymorphisms of the oxytocin receptor (Schneider-Hassloff et al., 2016). There is also preliminary evidence that attachment security can influence the balance between pro- and anti-inflammatory cytokines; secure attachment stimulates the expression of anti-inflammatory genes (Stanton et al., 2017), while anxious attachment is associated with increased levels of inflammatory markers (Ehrlich et al., 2019). These changes could result in central nervous system inflammation and increased oxidative stress, providing another potential mechanism linking comorbid anxiety and depression with attachment (Tanaka and Vecsei, 2021; Tanaka et al., 2022b,c).

Integrating attachment and cognitive neuroscience findings in comorbid depression and anxiety

An integration of the above findings is presented in Figure 2. Early childhood attachment is determined by non-linear interactions involving several factors, including childhood temperament (itself the result of gene x environment interactions), parental attachment style and mental health, and broader socio-cultural factors (Barry et al., 2008; Toepfer et al., 2019; Takegata et al., 2021). Through processes that are likely to involve a combination of embodiment and higher-order representation, attachment influences the development of higher-order cognitive and affective processes related to the pathogenesis of anxiety and depression. If attachment is secure, the outcome of these processes is a secure adult attachment style and psychological resilience (Long et al., 2020). However, various patterns of insecure attachment can lead to inefficiency or biases in these higher-order processes, leading to insecure adult attachment, reduced relationship stability and satisfaction, and a sensitivity to both anxiety and depression, which are themselves components of the triphasic “separation response” (Bowlby, 1988, 1998). Also important in this model are the interactions between insecure attachment and other forms of adversity, which include social disadvantage, childhood abuse, discord or violence within adult intimate relationships, and other forms of chronic stress (Briere and Jordan, 2009; Fearon et al., 2017).

FIGURE 2
www.frontiersin.org

Figure 2. Processes by which insecure attachment to a caregiver in early childhood can contribute to the development of comorbid depression and anxiety, and their neural correlates. HPA, hypothalamic-pituitary-adrenal.

Though tentative, this proposal is consistent with our current understanding of the pathophysiology of anxiety (Nolte et al., 2011) and depression (Holmes, 2013). With the accumulation of further clinical and translational evidence, it should be possible to refine the above model in several ways. For example, the specific sub-type(s) of insecure attachment that predispose to comorbid anxiety and depression could be identified more consistently. Likewise, it is likely that distinct attachment-related neural and cognitive processes could be involved in the comorbidity between depression and specific anxiety disorders, such as social anxiety or panic disorder (Torpey et al., 2007; Elling et al., 2022). Finally, biomarkers related to insecure attachment, reflecting altered information processing in the brain circuitry involved in affect regulation, problem-solving and social cognition, could be identified in patients and assessed as predictors of outcome (Gander and Buchheim, 2015; van Hoof et al., 2019).

Implications for research and treatment

The integration of perspectives and findings from attachment theory and cognitive neuroscience is of more than theoretical interest in patients with comorbid anxiety and depressive disorders. Such an approach could optimize treatment outcomes through the selection of attachment-based therapies that address either maladaptive attachment styles or the cognitive errors associated with them (Newman et al., 2015; Gunlicks-Stoessel et al., 2019; Cortes-Garcia et al., 2020). Such therapies could integrate existing psychodynamic or cognitive behavioral approaches under an attachment framework (Fonagy and Target, 2007; Holmes, 2013). For example, it has been shown that cognitive training focused on the modification of biases in information processing can modulate attachment anxiety (Doolan and Bryant, 2021). Couples or family therapies based on attachment theory may also be effective in treating adults with comorbid depression and anxiety, while minimizing the burden experienced by a spouse or partner (Johnson and Greenman, 2006). A better understanding of the neural and molecular mechanisms linking insecure attachment and comorbid anxiety and depression could also inform innovative approaches to biological treatment, such as pharmacological modulation of attachment-related peptidergic mechanisms (Kormos and Gaszner, 2013) or attachment-related alterations in immune or endocrine function (Hennessy et al., 2019), and even stimulation therapies that target attachment-related autonomic dysfunction (Fanselow, 2013). It should also not be assumed that the mechanisms discussed in this paper are the only ones linking attachment with anxiety and depression. For example, recent research suggests that experiences of attachment security may be “biologically embedded” in infants through alterations in DNA methylation (Merrill et al., 2021); such alterations involve changes in the expression of pro-inflammatory genes, which may be related to subsequent anxiety and depression.

Finally, pursuing this line of research could lead to a deeper understanding of the developmental roots of this comorbidity. It is well known that parental depression can affect infant attachment, and parental depression may itself reflect attachment patterns and experiences in the mother or father's own childhood (Sliwerski et al., 2020). More generally, patterns of attachment are known to be stable across generations, and this may reflect a bidirectional link with anxiety and depression: the presence of these disorders in a parent may both reflect their own childhood experiences and insecure attachment, and predict insecure attachment and subsequent anxiety or depression in their children (Galbally et al., 2022). Such an “intergenerational” transmission of attachment security has also been demonstrated in animal models, and been linked to altered expression of specific genes in the brain (Alyamani et al., 2021). A circular process of this sort offers opportunities for early intervention (e.g., identification and management of internalizing symptoms in children of depressed mothers) or even prevention (e.g., attachment-based therapies for parents whose depression and anxiety is related to attachment insecurity, thereby preventing the “transmission” of an insecure attachment style). Such an approach may be especially fruitful in “high-risk” families with an increased genetic risk for depression, or in families exposed to social disadvantage or chronic stress (Lecompte et al., 2018).

Conclusion

Attachment theory offers a promising explanatory framework for our understanding of comorbid anxiety and depression. The coherence between the constructs of attachment theory and the findings of cognitive neuroscience, which was envisioned by early workers in this field, can now be placed on a more secure footing. The available evidence suggests that insecure attachment in childhood can crucially alter the subsequent functioning of key neurocognitive, neuroendocrine, and neuroimmune processes, leading to changes at both the physical level (such as increased inflammation and an altered stress response) and in higher-order cognitive functioning (cognitive errors and biases). These changes can predispose to the development and persistence of subsequent anxiety and depression. This framework may be heuristically useful both in terms of deepening our understanding of specific genetic, epigenetic, neural, immune and endocrine mechanisms, and in guiding the development of more effective treatment approaches, as well as opening up avenues for prevention and early intervention in childhood.

Author contributions

The author confirms being the sole contributor of this work and has approved it for publication.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abtahi, M. M., and Kerns, K. A. (2017). Attachment and emotion regulation in middle childhood: changes in affect and vagal tone during a social stress task. Attach. Hum. Dev. 19, 221–242. doi: 10.1080/14616734.2017.1291696

PubMed Abstract | CrossRef Full Text | Google Scholar

Adams, G. C., Wrath, A. J., Le, T., and Alaverdashvili, M. (2019). A longitudinal exploration of the impact of social anxiety and individual attachment on depression severity. J. Affect. Disord. 257, 250–256. doi: 10.1016/j.jad.2019.07.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Adams, G. C., Wrath, A. J., Mondal, P., and Asmundson, G. J. G. (2018). Depression with or without comorbid social anxiety: is attachment the culprit? Psychiatry Res. 269, 86–92. doi: 10.1016/j.psychres.2018.08.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Ainsworth, M. D. S. (1985). Attachments across the life span. Bull. N. Y. Acad. Med. 61, 792–812.

Google Scholar

Alyamani, R., Nephew, B., and Murgatroyd, C. (2021). Intergenerational changes in hippocampal transcription in an animal model of maternal depression. Eur. J. Neurosci. 55, 2242–2252. doi: 10.1111/ejn.15180

PubMed Abstract | CrossRef Full Text | Google Scholar

Ammaniti, M., van Ijzendoorn, M. H., Speranza, A. M., and Tambelli, R. (2000). Internal working models of attachment during late childhood and early adolescence: an exploration of stability and change. Attach. Hum. Dev. 2, 328–346. doi: 10.1080/14616730010001587

PubMed Abstract | CrossRef Full Text | Google Scholar

Barry, R. A., Kochanska, G., and Philibert, R. A. (2008). G x E interaction in the organization of attachment: mothers' responsiveness as a moderator of children's genotypes. J. Child Psychol. Psychiatry 49, 1313–1320. doi: 10.1111/j.1469-7610.2008.01935.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Battaglia, S., Harrison, B. J., and Fullana, M. A. (2022a). Does the human ventromedial prefrontal cortex support fear learning, fear extinction or both? A commentary on subregional contributions. Mol. Psychiatry 27, 784–786. doi: 10.1038/s41380-021-01326-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Battaglia, S., Orsolini, S., Borgomaneri, S., Barbieri, R., Diciotti, S., di Pellegrino, G., et al. (2022b). Characterizing cardiac autonomic dynamics of fear learning in humans. Psychophysiology 59, e14122. doi: 10.1111/psyp.14122

PubMed Abstract | CrossRef Full Text | Google Scholar

Battaglia, S., and Thayer, J. F. (2022). Functional interplay between central and autonomic nervous systems in human fear conditioning. Trends Neurosci. 45, 504–506. doi: 10.1016/j.tins.2022.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, A. T. (2005). The current state of cognitive therapy: a 40-year retrospective. Arch. Gen. Psychiatry 62, 953–959. doi: 10.1001/archpsyc.62.9.953

PubMed Abstract | CrossRef Full Text | Google Scholar

Beckes, L., Ijzerman, H., and Tops, M. (2015). Toward a radically embodied neuroscience of attachment and relationships. Front. Hum. Neurosci. 9, 266. doi: 10.3389/fnhum.2015.00266

PubMed Abstract | CrossRef Full Text | Google Scholar

Bowlby, J. (1970). Reasonable fear and natural fear. Int. J. Psychiatry 9, 79–88.

Google Scholar

Bowlby, J. (1988). A Secure Base: Parent-Child Attachment and Healthy Human Development. New York: Basic Books.

Google Scholar

Bowlby, J. (1998). Attachment and Loss, Volume 3-Loss: Sadness and Depression. London: Pimlico

Google Scholar

Breteler, J. K., Ikani, N., Becker, E. S., Spijker, J., and Hendriks, G. (2021). Comorbid depression and treatment of anxiety disorders, OCD and PTSD: diagnosis vs. severity. J. Affect. Disord. 295, 1005–1011. doi: 10.1016/j.jad.2021.08.146

PubMed Abstract | CrossRef Full Text | Google Scholar

Briere, J., and Jordan, C. E. (2009). Childhood maltreatment, intervening variables, and adult psychological difficulties in women: an overview. Trauma Violence Abuse 10, 375–388. doi: 10.1177/1524838009339757

PubMed Abstract | CrossRef Full Text | Google Scholar

Cacciola, E., and Psouni, E. (2020). Insecure attachment and other help-seeking barriers among women depressed postpartum. Int. J. Environ. Res. Public Health 17, 3887. doi: 10.3390/ijerph17113887

PubMed Abstract | CrossRef Full Text | Google Scholar

Cameron, C. A. (2008). Identification and classification of childhood developmental difficulties in the context of attachment relationships. J. Can. Acad. Child Adolesc. Psychiatry 17, 58–68. Available online at: https://pubmed.ncbi.nlm.nih.gov/18516307

PubMed Abstract | Google Scholar

Carvalho, A. F., Miskowiak, K. K., Hyphantis, T. N., Kohler, C. A., Alves, C. S., Bortolato, B., et al. (2014). Cognitive dysfunction in depression— pathophysiology and novel targets. CNS Neurol. Disord. Drug Targets 13, 1819–1835. doi: 10.2174/1871527313666141130203627

PubMed Abstract | CrossRef Full Text | Google Scholar

Cerda, M., Sagdeo, A., Johnson, J., and Galea, S. (2010). Genetic and environmental influences on psychiatric comorbidity: a systematic review. J. Affect. Disord. 126, 14–38. doi: 10.1016/j.jad.2009.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, D. A., and Beck, A. T. (2010). Cognitive theory and therapy of anxiety and depression: convergence with neurobiological findings. Trends Cogn. Sci. 14, 418–424. doi: 10.1016/j.tics.2010.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Conrad, R., Forstner, A. J., Chung, M. L., Mucke, M., Geiser, F., Schumacher, J., et al. (2021). Significance of anger suppression and preoccupied attachment in social anxiety disorder: a cross-sectional study. BMC Psychiatry 21, 116. doi: 10.1186/s12888-021-03098-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Conradi, H. J., Kamphuis, J. H., and de Jonge, P. (2018). Adult attachment predicts the seven-year course of recurrent depression in primary care. J. Affect. Disord. 225, 160–166. doi: 10.1016/j.jad.2017.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Cortes-Garcia, L., Takkouche, B., Rodriguez-Cano, R., and Senra, C. (2020). Mediational mechanisms involved in the relation between attachment insecurity and depression: a meta-analysis. J. Affect. Disord. 277, 706–726. doi: 10.1016/j.jad.2020.08.082

PubMed Abstract | CrossRef Full Text | Google Scholar

Damasio, A. (1994). Descartes' Error: Emotion, Reason, and the Human Brain. London: Vintage Books.

PubMed Abstract | Google Scholar

Demyttenaere, K., and Heirman, E. (2020). The blurred line between anxiety and depression: hesitations on comorbidity, thresholds, and hierarchy. Int. Rev. Psychiatry 32, 455–465. doi: 10.1080/09540261.2020.1764509

PubMed Abstract | CrossRef Full Text | Google Scholar

Deng, M., Zhang, X., Bi, X., and Gao, C. (2021). Neural basis underlying the trait of attachment anxiety and avoidance revealed by the amplitude of low-frequency fluctuations and resting-state functional connectivity. BMC Neurosci. 22, 11. doi: 10.1186/s12868-021-00617-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Doolan, E. L., and Bryant, R. A. (2021). Modifying insecure attachment style with cognitive bias modification. J. Behav. Ther. Exp. Psychiatry 73, 101664. doi: 10.1016/j.jbtep.2021.101664

PubMed Abstract | CrossRef Full Text | Google Scholar

Ehrlich, K. B., Stern, J. A., Eccles, J., Dinh, J. V., Hopper, E. A., Kemeny, M. E., et al. (2019). A preliminary investigation of attachment style and inflammation in African–American young adults. Attach. Hum. Dev. 21, 57–69. doi: 10.1080/14616734.2018.1541516

PubMed Abstract | CrossRef Full Text | Google Scholar

Eisenberger, N. I., Master, S. L., Inagaki, T. K., Taylor, S. E., Shirinyan, D., Lieberman, M. D., et al. (2011). Attachment figures activate a safety signal-related neural region and reduce pain experience. Proc. Natl. Acad. Sci. USA. 108, 11721–11726. doi: 10.1073/pnas.1108239108

PubMed Abstract | CrossRef Full Text | Google Scholar

Elling, C., Forstner, A. J., Seib-Pfeifer, L. E., Mucke, M., Stahl, J., Geiser, F., et al. (2022). Social anxiety disorder with comorbid major depression—why fearful attachment style is relevant. J. Psychiatry Res. 147, 283–290. doi: 10.1016/j.jpsychires.2022.01.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Eng, W., Heimberg, R. G., Hart, T. A., Schneier, F. R., and Liebowitz, M. R. (2001). Attachment in individuals with social anxiety disorder: the relationship among adult attachment styles, social anxiety, and depression. Emotion 1, 365–380. doi: 10.1037/1528-3542.1.4.365

PubMed Abstract | CrossRef Full Text | Google Scholar

Fanselow, M. S. (2013). Fear and anxiety take a double hit from vagal nerve stimulation. Biol. Psychiatry 73, 1043–1044. doi: 10.1016/j.biopsych.2013.03.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Fearon, R. M. P., Tomlinson, M., Kumsta, R., Skeen, S., Murray, L., Cooper, P. J., et al. (2017). Poverty, early care and stress reactivity in adolescence: findings from a prospective, longitudinal study in South Africa. Dev. Psychopathol. 29, 449–464. doi: 10.1017/S0954579417000104

PubMed Abstract | CrossRef Full Text | Google Scholar

Fonagy, P., and Target, M. (2007). The rooting of the mind in the body: new links between attachment theory and psychoanalytic thought. J. Am. Psychoanal. Assoc. 55, 411–56. doi: 10.1177/00030651070550020501

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, D., Zlotnik, A., Kofman, O., Grinshpun, J., Severynovska, O., Brotfain, E., et al. (2019). Early life stress induces submissive behavior in rats. Behav. Brain Res. 372, 112025. doi: 10.1016/j.bbr.2019.112025

PubMed Abstract | CrossRef Full Text | Google Scholar

Galbally, M., Watson, S. J., Tharner, A., Luijk, M., Blankley, G., MacMillian, K. K., et al. (2022). Major depression as a predictor of the intergenerational transmission of attachment security: findings from a pregnancy cohort study. Aust. N. Z. J. Psychiatry 56, 1006–1016. doi: 10.1177/00048674211060749

PubMed Abstract | CrossRef Full Text | Google Scholar

Gander, M., and Buchheim, A. (2015). Attachment classification, psychophysiology and frontal EEG asymmetry across the lifespan: a review. Front. Hum. Neurosci. 9, 79. doi: 10.3389/fnhum.2015.00079

PubMed Abstract | CrossRef Full Text | Google Scholar

Gander, M., Karabatsiakis, A., Nuderscher, K., Bernheim, D., Doyen-Waldecker, C., Buchheim, A., et al. (2022). Secure attachment representation in adolescence buffers heart-rate reactivity in response to attachment-related stressors. Front. Hum. Neurosci. 16, 806987. doi: 10.3389/fnhum.2022.806987

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaspersz, R., Nawjin, L., Lamers, F., and Penninx, B. W. J. H. (2018). Patients with anxious depression: overview of prevalence, pathophysiology and impact on course and treatment outcome. Curr. Opin. Psychiatry 31, 17–25. doi: 10.1097/YCO.0000000000000376

PubMed Abstract | CrossRef Full Text | Google Scholar

GBD 2019 Mental Disorders Collaborators (2022). Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry 9, 137–150. doi: 10.1016/S2215-0366(21)00395-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunlicks-Stoessel, M., Westervelt, A., Reigstad, K., Mufson, L., and Lee, S. (2019). The role of attachment style in interpersonal psychotherapy for depressed adolescents. Psychother. Res. 29, 78–85. doi: 10.1080/10503307.2017.1315465

PubMed Abstract | CrossRef Full Text | Google Scholar

Hennessy, M. B., Schiml, P. A., Berberich, K., Beasley, N. L., and Deak, T. (2019). Early attachment disruption, inflammation and vulnerability for depression in rodent and primate models. Front. Behav. Neurosci. 12, 314. doi: 10.3389/fnbeh.2018.00314

PubMed Abstract | CrossRef Full Text | Google Scholar

Hidalgo, A. P. C., Muetzel, R., Luijk, M. P. C. M., Bakermans-Kranenburg, M. J., El Marroun, H., Vernooij, M. W., et al. (2019). Observed infant-parent attachment and brain morphology in middle childhood—a population-based study. Dev. Cogn. Neurosci. 40, 100724. doi: 10.1016/j.dcn.2019.100724

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, J. (2013). An attachment model of depression: integrating findings from the mood disorder laboratory. Psychiatry 76, 68–86. doi: 10.1521/psyc.2013.76.1.68

PubMed Abstract | CrossRef Full Text | Google Scholar

Hooper, L. M., Tomek, S., Roter, D., Carson, K. A., Mugoya, G., Cooper, L. A., et al. (2016). Depression, patient characteristics, and attachment style: correlates and mediators of medication treatment adherence in a racially diverse primary care sample. Prim. Health Care Res. Dev. 17, 184–197. doi: 10.1017/S1463423615000365

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y. C., Lee, Y., Lin, P. Y., Hung, C. F., Lee, C. Y., Wang, L. J., et al. (2019). Anxiety comorbidities in patients with major depressive disorder: the role of attachment. Int. J. Psychiatry Clin. Pract. 23, 286–292. doi: 10.1080/13651501.2019.1638941

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Y. L., Chen, S. H., and Tseng, H. H. (2019). Attachment avoidance and fearful prosodic emotion recognition predict depression maintenance. Psychiatry Res. 272, 649–654. doi: 10.1016/j.psychres.2018.12.119

PubMed Abstract | CrossRef Full Text | Google Scholar

Hung, C. I., Liu, C. Y., Yang, C. H., and Gan, S. T. (2020). Comorbidity with more anxiety disorders associated with a poorer prognosis persisting at the 10-year follow-up among patients with major depressive disorder. J. Affect. Disord. 260, 97–104. doi: 10.1016/j.jad.2019.08.085

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaremka, L. M., Glaser, R., Loving, T. J., Malarkey, W. B., Stowell, J. R., Kiecolt-Glaser, J. R., et al. (2013). Attachment anxiety is linked to alterations in cortisol production and cellular immunity. Psychol. Sci. 24, 272–279. doi: 10.1177/0956797612452571

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeronimus, B. F., Kotov, R., Riese, H., and Ormel, J. (2016). Neuroticism's prospective association with mental disorders halves after adjustment for baseline symptoms and psychiatric history, but the adjusted association hardly decays with time: a meta-analysis on 59 longitudinal/prospective studies with 443 313 participants. Psychol. Med. 46, 2883–2906. doi: 10.1017/S0033291716001653

PubMed Abstract | CrossRef Full Text | Google Scholar

Jethava, V., Kadish, J., Kakonge, L., and Wiseman-Hakes, C. (2022). Early attachment and the development of social communication: a neuropsychological approach. Front. Psychiatry 13, 838950. doi: 10.3389/fpsyt.2022.838950

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, S. M., and Greenman, P. S. (2006). The path to a secure bond: emotionally focused couple therapy. J. Clin. Psychol. 62, 597–609. doi: 10.1002/jclp.20251

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamza, A., and Putko, A. (2021). Attachment security, verbal ability, and inhibitory control in middle childhood. BMC Psychol. 9, 24. doi: 10.1186/s40359-021-00524-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kirsch, P., Esslinger, C., Chen, Q., Mier, D., Lis, S., Siddhanti, S., et al. (2005). Oxytocin modulates neural circuitry for social cognition and fear in humans. J. Neurosci. 25, 11489–11493. doi: 10.1523/JNEUROSCI.3984-05.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Koelkebeck, K., Liedtke, C., Kohl, W., Alferink, J., and Kret, M. E. (2017). Attachment style moderates theory of mind abilities in depression. J. Affect. Disord. 213, 156–160. doi: 10.1016/j.jad.2017.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Kormos, V., and Gaszner, B. (2013). Role of neuropeptides in anxiety, stress, and depression: from animals to humans. Neuropeptides 47, 401–419. doi: 10.1016/j.npep.2013.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Krause, A. L., Borchardt, V., Li, M., van Tol, M-. J., Demenescu, L. R., Strauss, B., et al. (2016). Dismissing attachment characteristics dynamically modulate brain networks subserving social aversion. Front. Hum. Neurosci. 10, 77. doi: 10.3389/fnhum.2016.00077

PubMed Abstract | CrossRef Full Text | Google Scholar

Kungl, M. T., Leyh, R., and Spangler, G. (2016). Attachment representations and brain asymmetry during the processing of autobiographical emotional memories in late adolescence. Front. Hum. Neurosci. 10, 644. doi: 10.3389/fnhum.2016.00644

PubMed Abstract | CrossRef Full Text | Google Scholar

Kural, A. I., and Kovacs, M. (2022). The role of anxious attachment in the continuation of abusive relationships: the potential for strengthening a secure attachment schema as a tool of empowerment. Acta Psychologica 225, 103537. doi: 10.1016/j.actpsy.2022.103537

PubMed Abstract | CrossRef Full Text | Google Scholar

Labek, K., Dommes, L., Bosch, J. E., Schurz, M., Viviani, R., Buchheim, A., et al. (2022). A short functional neuroimaging assay using attachment scenes to recruit neural correlates of social cognition—a replication study. Brain Sci. 12, 855. doi: 10.3390/brainsci12070855

PubMed Abstract | CrossRef Full Text | Google Scholar

Laurita, A. C., Hazan, C., and Spreng, R. N. (2019). An attachment theoretical perspective for the neural representation of close others. Soc. Cogn. Affect. Neurosci. 14, 237–251. doi: 10.1093/scan/nsz010

PubMed Abstract | CrossRef Full Text | Google Scholar

Lecompte, V., Miconi, D., and Rousseau, C. (2018). Challenges related to migration and child attachment: a pilot study with South Asian immigrant mother-child dyads. Attach. Hum. Dev. 20, 208–222. doi: 10.1080/14616734.2017.1398765

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemche, E., Giampetro, V. P., Surguladze, S. A., Amaro, E. J., Andrew, C. M., Williams, S. C. R., et al. (2006). Human attachment security is mediated by the amygdala: evidence from combined fMRI and psychophysiological measures. Hum. Brain Map. 27, 623–635. doi: 10.1002/hbm.20206

PubMed Abstract | CrossRef Full Text | Google Scholar

Lewis, M., Feiring, C., and Rosenthal, S. (2000). Attachment over time. Child Dev. 71, 707–720. doi: 10.1111/1467-8624.00180

PubMed Abstract | CrossRef Full Text | Google Scholar

Long, M., Verbeke, W., Ein-Dor, T., and Vrticka, P. (2020). A functional neuro-anatomical model of human attachment (NAMA): insights from first- and second-person social neuroscience. Cortex 126, 281–321. doi: 10.1016/j.cortex.2020.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Lumertz, F. S., Kestering-Ferreira, E., Orso, R., Creutzberg, K. C., Tractenberg, S. G., Stocchero, B. A., et al. (2022). Effects of early life stress on brain cytokines: a systematic review and meta-analysis of rodent studies. Neurosci. Biobehav. Rev. 139, 104746. doi: 10.1016/j.neubiorev.2022.104746

PubMed Abstract | CrossRef Full Text | Google Scholar

Lyons-Ruth, K., Pechtel, P., Yoon, S. A., Anderson, C. M., and Teicher, M. H. (2016). Disorganized attachment in infancy predicts greater amygdala volume in adulthood. Behav. Brain Res. 308, 83–93. doi: 10.1016/j.bbr.2016.03.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Malik, S., Wells, A., and Wittkowski, A. (2015). Emotion regulation as a mediator in the relationship between attachment and depressive symptomatology: a systematic review. J. Affect. Disord. 172, 428–444. doi: 10.1016/j.jad.2014.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Marganska, A., Gallagher, M., and Miranda, R. (2013). Adult attachment, emotion dysregulation, and symptoms of depression and generalized anxiety disorder. Am. J. Orthopsychiatry 83, 131–141. doi: 10.1111/ajop.12001

PubMed Abstract | CrossRef Full Text | Google Scholar

Marques, R., Monteiro, F., Canavarro, M. C., and Fonseca, A. (2018). The role of emotion regulation difficulties in the relationship between attachment representations and depressive and anxiety symptoms in the postpartum period. J. Affect. Disord. 238, 39–46. doi: 10.1016/j.jad.2018.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

McNaughton, N., and Corr, P. J. (2016). Mechanisms of comorbidity, continuity, and discontinuity in anxiety-related disorders. Dev. Psychopathol. 28, 1053–1069. doi: 10.1017/S0954579416000699

PubMed Abstract | CrossRef Full Text | Google Scholar

McQuaid, R. J. (2021). Transdiagnostic biomarker approaches to mental health disorders: consideration of symptom complexity, comorbidity and context. Brain Behav. Immun. Health 16, 100303. doi: 10.1016/j.bbih.2021.100303

PubMed Abstract | CrossRef Full Text | Google Scholar

Merrill, S. M., Gladish, N., Fu, M. P., Moore, S. R., Konwar, C., Giesbrecht, G. F., et al. (2021). Associations of peripheral blood DNA methylation and estimated monocyte proportion differences during infancy with toddler attachment style. Attach. Hum. Dev. Jul 1, 1–30. doi: 10.1080/14616734.2021.1938872

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, J. G., Shrestha, S., Reiss, A. L., and Vrtička, P. (2020). Neural bases of social feedback processing and self-other distinction in late childhood: The role of attachment and age. Cogn. Affect. Behav. Neurosci. 20, 503–520. doi: 10.3758/s13415-020-00781-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Milrod, B., Altemus, M., Gross, C., Busch, F., Silver, G., Christos, P., et al. (2016). Adult separation anxiety in treatment non-responders with anxiety disorders: delineation of the syndrome and exploration of attachment-based psychotherapy and biomarkers. Compr. Psychiatry 66, 139–145. doi: 10.1016/j.comppsych.2016.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Miu, A. C., Heilman, R. M., and Houser, D. (2008). Anxiety impairs decision-making: psychophysiological evidence from an Iowa Gambling Task. Biol. Psychol. 77, 353–358. doi: 10.1016/j.biopsycho.2007.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Monti, J. D., and Rudolph, K. D. (2014). Emotional awareness as a pathway linking adult attachment to subsequent depression. J. Couns. Psychol. 61, 374–382. doi: 10.1037/cou0000016

PubMed Abstract | CrossRef Full Text | Google Scholar

Moutsiana, C., Fearon, P., Murray, L., Cooper, P., Goodyer, I., Johnstone, T., et al. (2014). Making an effort to feel positive: insecure attachment in infancy predicts the neural underpinnings of emotion regulation in adulthood. J. Child Psychol. Psychiatry 55, 999–1008. doi: 10.1111/jcpp.12198

PubMed Abstract | CrossRef Full Text | Google Scholar

Moutsiana, C., Johnstone, T., Murray, L., Fearon, P., Cooper, P. J., Pliatskas, C., et al. (2015). Insecure attachment during infancy predicts greater amygdala volumes in early adulthood. J. Child Psychol. Psychiatry 56, 540–548. doi: 10.1111/jcpp.12317

PubMed Abstract | CrossRef Full Text | Google Scholar

Muller, L. E., Bertsch, K., Bulau, K., Herpertz, S. C., and Buchheim, A. (2019). Emotional neglect in childhood shapes social dysfunctioning in adults by influencing the oxytocin and the attachment system: results from a population-based study. Int. J. Psychophysiol. 136, 73–80. doi: 10.1016/j.ijpsycho.2018.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Nawjin, L., Dinga, R., Aghajani, M., van Tol, M-. J., van der Wee, N. J. A., Wunder, A., et al. (2022). Neural correlates of anxious distress in depression: a neuroimaging study of reactivity to emotional faces and resting-state functional connectivity. Depress. Anxiety 39, 573–585. doi: 10.1002/da.23264

PubMed Abstract | CrossRef Full Text | Google Scholar

Newman, M. G., Castonguay, L. G., Jacobson, N. C., and Moore, G. A. (2015). Adult attachment as a moderator of treatment outcome for generalized anxiety disorder: comparison between cognitive–behavioral therapy (CBT) plus supportive listening and CBT plus interpersonal and emotional processing therapy. J. Consult. Clin. Psychol. 83, 915–925. doi: 10.1037/a0039359

PubMed Abstract | CrossRef Full Text | Google Scholar

Nielsen, S. K. K., Hageman, I., Petersen, A., Daniel, S. I. F., Lau, M., Winding, C., et al. (2019). Do emotion regulation, attentional control, and attachment style predict response to cognitive behavioral therapy for anxiety disorders?—an investigation in clinical settings. Psychother. Res. 29, 999–1009. doi: 10.1080/10503307.2018.1425933

PubMed Abstract | CrossRef Full Text | Google Scholar

Nolte, T., Guiney, J., Fonagy, P., Mayes, L. C., and Luyten, P. (2011). Interpersonal stress regulation and the development of anxiety disorders: an attachment-based developmental framework. Front. Behav. Neurosci. 5, 55. doi: 10.3389/fnbeh.2011.00055

PubMed Abstract | CrossRef Full Text | Google Scholar

Nummenmaa, L., Karjalainen, T., Isojarvi, J., Kantonen, T., Tuisku, J., Kaasinen, V., et al. (2020). Lowered endogenous mu-opioid receptor availability in subclinical depression and anxiety. Neuropsychopharmacology 45, 1953–1959. doi: 10.1038/s41386-020-0725-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Ozer, U., Yildrim, E. A., and Erkoc, S. N. (2015). Relationship of suicidal ideation and behavior to attachment style in patients with major depression. Arch. Neuropsychiatr. 52, 283–288. doi: 10.5152/npa.2015.7459

PubMed Abstract | CrossRef Full Text | Google Scholar

Petrowski, K., Schmalbach, B., Schurig, S., Imhoff, R., Banse, R., Strauss, B., et al. (2019). Implicit attachment schemas and therapy outcome for panic disorder treated with manualized confrontation therapy. Psychopathology 52, 184–190. doi: 10.1159/000496500

PubMed Abstract | CrossRef Full Text | Google Scholar

Platts, H., Mason, O., and Tyson, M. (2005). Early maladaptive schemas and adult attachment in a UK clinical population. Psychol. Psychother. 78, 549–564. doi: 10.1348/147608305X41371

PubMed Abstract | CrossRef Full Text | Google Scholar

Quevedo, K., Waters, T. E. A., Scott, H., Roisman, G. I., Shaw, D. S., Forbes, E. E., et al. (2017). Brain activity and infant attachment history in young men during loss and reward processing. Dev. Psychopathol. 29, 465–476. doi: 10.1017/S0954579417000116

PubMed Abstract | CrossRef Full Text | Google Scholar

Raby, K. L., Cicchetti, D., Carlson, E. A., Cutuli, J. J., Englund, M. M., Egeland, B., et al. (2012). Genetic and caregiving-based contributions to infant attachment: unique associations with distress reactivity and attachment security. Psychol. Sci. 23, 1016–1023. doi: 10.1177/0956797612438265

PubMed Abstract | CrossRef Full Text | Google Scholar

Radetzki, P. A., Wrath, A. J., Le, T., and Adams, G. C. (2021). Alexithymia is a mediating factor in the relationship between adult attachment and severity of depression and social anxiety. J. Affect. Disord. 295, 846–855. doi: 10.1016/j.jad.2021.08.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Rana, S., Pugh, P. C., Jackson, N., Clinton, S. M., and Kerman, I. A. (2015). Inborn stress reactivity shapes adult behavioral consequences of early-life maternal separation stress. Neurosci. Lett. 584, 146–150. doi: 10.1016/j.neulet.2014.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Riem, M. M. E., van Hoof, M. J., Garrett, A. S., Rombouts, S. A. R. B., van der Wee, N. J. A., van Ijzendoorn, M. H., et al. (2019). General psychopathology factor and unresolved-disorganized attachment uniquely correlated to white matter integrity using diffusion tensor imaging. Behav. Brain Res. 359, 1–8. doi: 10.1016/j.bbr.2018.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Rogers, C. R., Chen, X., Kwon, S-. J., McElwain, N. L., and Telzer, E. H. (2022). The role of early attachment and parental presence in adolescent behavioral and neurobiological regulation. Dev. Cogn. Neurosci. 53, 101046. doi: 10.1016/j.dcn.2021.101046

PubMed Abstract | CrossRef Full Text | Google Scholar

Saha, S., Lim, C. C. W., Cannon, D. L., Burton, L., Bremner, M., Cosgrove, P., et al. (2021). Co-morbidity between mood and anxiety disorders: a systematic review and meta-analysis. Depress. Anxiety 38, 286–306. doi: 10.1002/da.23113

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider-Hassloff, H., Straube, B., Jansen, A., Nuscheler, B., Wemken, G., Witt, S. H., et al. (2016). Oxytocin receptor polymorphism and childhood social experiences shape adult personality, brain structure and neural correlates of mentalizing. NeuroImage 134, 671–684. doi: 10.1016/j.neuroimage.2016.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider-Hassloff, H., Straube, B., Nuscheler, B., Wemken, G., and Kircher, T. (2015). Adult attachment style modulates neural responses in a mentalizing task. Neuroscience 303, 462–473. doi: 10.1016/j.neuroscience.2015.06.062

PubMed Abstract | CrossRef Full Text | Google Scholar

Shahab, M. K., de Ridder, J. A., Spinhoven, P., Penninx, B. W., Mook-Kanamori, D. O., and Elzinga, B. M. (2021). A tangled start: the link between childhood maltreatment, psychopathology, and relationships in adulthood. Child Abuse Negl. 121, 105228. doi: 10.1016/j.chiabu.2021.105228

PubMed Abstract | CrossRef Full Text | Google Scholar

Simpson, C. A., Diez-Arteche, C., Eliby, D., Schwartz, O. S., Simmons, J. G., Cowan, C. S. M., et al. (2021). The gut microbiota in anxiety and depression—a systematic review. Clin. Psychol. Rev. 83, 101943. doi: 10.1016/j.cpr.2020.101943

PubMed Abstract | CrossRef Full Text | Google Scholar

Sindermann, L., Leehr, E. J., Redlich, R., Meinert, S., Bohnlein, J., Grotegerd, D., et al. (2022). Emotion processing in depression with and without comorbid anxiety disorder. J. Affect. Disord. 314, 133–142. doi: 10.1016/j.jad.2022.06.089

PubMed Abstract | CrossRef Full Text | Google Scholar

Sliwerski, A., Kossakowska, K., Jarecka, K., Switalska, J., and Bielawska-Batorowicz, E. (2020). The effects of maternal depression on infant attachment: a systematic review. Int. J. Environ. Res. Public Health 17, 2675. doi: 10.3390/ijerph17082675

PubMed Abstract | CrossRef Full Text | Google Scholar

Smyth, N., Thorn, L., Oskis, A., Hucklebridge, F., Evans, P., Clow, A., et al. (2015). Anxious attachment style predicts an enhanced cortisol response to group stress. Stress 18, 143–148. doi: 10.3109/10253890.2015.1021676

PubMed Abstract | CrossRef Full Text | Google Scholar

Stanton, S. C. E., Zilioli, S., Briskin, J. L., Imami, L., Tobin, E. T., Wildman, D. E., et al. (2017). Mothers' attachment is linked to their children's anti-inflammatory gene expression via maternal warmth. Soc. Psychol. Personal Sci. 8, 796–805. doi: 10.1177/1948550616687125

PubMed Abstract | CrossRef Full Text | Google Scholar

Steudte-Schmiedgen, S., Wichmann, S., Stalder, T., Hilbert, K., Muehlhan, M., Lueken, U., et al. (2017). Hair cortisol concentrations and cortisol stress reactivity in generalized anxiety disorder, major depression and their comorbidity. J. Psychiatr. Res. 84, 184–190. doi: 10.1016/j.jpsychires.2016.09.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Strathearn, L. (2011). Maternal neglect: oxytocin, dopamine and the neurobiology of attachment. J. Neuroendocrinol. 23, 1054–1065. doi: 10.1111/j.1365-2826.2011.02228.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Takegata, M., Matsunaga, A., Ohashi, Y., Toizumi, M., Yoshida, L. M., Kitamura, T., et al. (2021). Prenatal and intrapartum factors associated with infant temperament: a systematic review. Front. Psychiatry 12, 609020. doi: 10.3389/fpsyt.2021.609020

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, M., Spekker, E., Szabo, A., Polyak, H., and Vecsei, L. (2022c). Modelling the neurodevelopmental pathogenesis in neuropsychiatric disorders. Bioactive kynurenines and their analogues as neuroprotective agents—in celebration of 80th birthday of Professor Peter Riederer. J. Neural. Transm. 129, 627–642. doi: 10.1007/s00702-022-02513-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, M., Szabo, A., Spekker, E., Polyak, H., Toth, F., Vecsei, L., et al. (2022b). Mitochondrial impairment: a common motif in neuropsychiatric presentation? The link to the tryptophan-kynurenine metabolic system. Cells 11, 2607. doi: 10.3390/cells11162607

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, M., Szabo, A., and Vecsei, L. (2022a). Integrating armchair, bench, and bedside research for behavioral neurology and neuropsychiatry: editorial. Biomedicines 10, 2999. doi: 10.3390/biomedicines10122999

CrossRef Full Text | Google Scholar

Tanaka, M., and Vecsei, L. (2021). Editorial of special issue “Crosstalk between depression, anxiety and dementia: comorbidity in behavioral neurology and neuropsychiatry”. Biomedicines 9, 517. doi: 10.3390/biomedicines9050517

PubMed Abstract | CrossRef Full Text | Google Scholar

Teicher, M. H., and Samson, J. A. (2013). Childhood maltreatment and psychopathology: a case for ecophenotypic variants as clinically and neurobiologically distinct subtypes. Am. J. Psychiatry 170, 1114–1133. doi: 10.1176/appi.ajp.2013.12070957

PubMed Abstract | CrossRef Full Text | Google Scholar

ter Meulen, W.G., Draisma, S., van Hemert, A.M., Schoevers, R.A., Kupka, R.W., Beekman, A.T.F., et al. (2021). Depressive and anxiety disorders in concert—a synthesis of findings on comorbidity in the NESDA study. J. Affect. Disord. 284, 85–97. doi: 10.1016/j.jad.2021.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Toepfer, P., O'Donnell, K. J., Entringer, S., Heim, C. M., Lin, D. T. S., MacIsaac, J. L., et al. (2019). A role of oxytocin receptor gene brain tissue expression quantitative trait locus rs237895 in the intergenerational transmission of the effects of maternal childhood maltreatment. J. Am. Acad. Child Adolesc. Psychiatry 58, 1207–1216. doi: 10.1016/j.jaac.2019.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Torpey, D. C., Olino, T. M., and Klein, D. N. (2007). Retrospective reports of parenting in depressed adults with and without comorbid panic disorder and social anxiety disorder. J. Nerv. Ment. Dis. 195, 738–744. doi: 10.1097/NMD.0b013e318142cc16

PubMed Abstract | CrossRef Full Text | Google Scholar

Turtonen, O., Saarinen, A., Nummenmaa, L., Tuominen, L., Tikka, M., Armio, R-. L., et al. (2020). Adult attachment system links with brain mu opioid receptor availability in vivo. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 6, 360–369. doi: 10.1016/j.bpsc.2020.10.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Ulmer-Yaniv, A., Waidergoren, S., Shaked, A., Salomon, R., and Feldman, R. (2022). Neural representation of the parent-child attachment from infancy to adulthood. Soc. Cogn. Affect. Neurosci. 17, 609–624. doi: 10.1093/scan/nsab132

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Assche, L., Van de Ven, L., Vandenbulcke, M., and Luyten, P. (2020). Ghosts from the past? The association between childhood interpersonal trauma, attachment and anxiety and depression in late life. Aging Ment. Health 24, 898–905. doi: 10.1080/13607863.2019.1571017

PubMed Abstract | CrossRef Full Text | Google Scholar

van Hoof, M. J., Riem, M., Garrett, A., Pannekoek, N., van der Wee, N., van IJzendoorn, M., et al. (2019). Unresolved-disorganized attachment is associated with smaller hippocampus and increased functional connectivity beyond psychopathology. J. Trauma. Stress 32, 742–752. doi: 10.1002/jts.22432

PubMed Abstract | CrossRef Full Text | Google Scholar

van Tol, M. J., van der Wee, N. J. A., and Veltman, D. J. (2021). Fifteen years of NESDA Neuroimaging: an overview of results related to clinical profile and bio-social risk factors of major depressive disorder and common anxiety disorders. J. Affect. Disord. 289, 31–45. doi: 10.1016/j.jad.2021.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Voges, J., Berg, A., and Niehaus, D. J. H. (2019). Revisiting the African origins of attachment research-−50 years on from Ainsworth: a descriptive review. Infant Ment. Health J. 40, 799–816. doi: 10.1002/imhj.21821

PubMed Abstract | CrossRef Full Text | Google Scholar

Vreeburg, S. A., Hoogendijk, W. J. G., DeRijk, R. H., van Dyck, R., Smit, J. H., Zitman, F. G., et al. (2013). Salivary cortisol levels and the 2-year course of depressive and anxiety disorders. Psychoneuroendocrinology 38, 1494–1502. doi: 10.1016/j.psyneuen.2012.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Ward, M. J., Lee, S. S., and Polan, H. J. (2006). Attachment and psychopathology in a community sample. Attach. Hum. Dev. 8, 327–340. doi: 10.1080/14616730601048241

PubMed Abstract | CrossRef Full Text | Google Scholar

Warren, S. L., Bost, K. K., Roisman, G. I., Silton, R. L., Spielberg, J. M., Engels, A. S., et al. (2010). Effects of adult attachment and emotional distractors on brain mechanisms of cognitive control. Psychol. Sci. 21, 1818–1826. doi: 10.1177/0956797610388809

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: depression, anxiety disorders, comorbidity, attachment theory, theory of mind, neuropeptides, somatic markers, insecure attachment

Citation: Rajkumar RP (2022) Comorbid depression and anxiety: Integration of insights from attachment theory and cognitive neuroscience, and their implications for research and treatment. Front. Behav. Neurosci. 16:1104928. doi: 10.3389/fnbeh.2022.1104928

Received: 22 November 2022; Accepted: 07 December 2022;
Published: 21 December 2022.

Edited by:

Masaru Tanaka, University of Szeged (ELKH-SZTE), Hungary

Reviewed by:

Simone Battaglia, University of Turin, Italy
Chong Chen, Yamaguchi University Graduate School of Medicine, Japan

Copyright © 2022 Rajkumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ravi Philip Rajkumar, yes ravi.psych@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.