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Is set-shifting and central coherence in anorexia nervosa influenced by body mass index, anxiety or depression? A systematic review

Abstract

Background

Anorexia nervosa (AN) is a severe eating disorder, recognized by a relentless pursuit for thinness and extreme low body weight. The disorder is often accompanied by comorbid disorders such as anxiety and depression, and altered neuropsychological function in terms of poor set-shifting and reduced central coherence. The aim of this review was to evaluate whether neuropsychological impairments in AN are influenced by body mass index, anxiety or depression.

Method

A systematic review approach was used, following the PRISMA guidelines for systematic reviews. Literature was identified via searches in PubMed, PsychInfo and Embase database, by using the search words [anorexia nervosa] AND [central coherence], and [anorexia nervosa] AND [set-shifting]. Studies were included if they were written in English, peer-reviewed, included individuals with AN, included tests measuring set-shifting and/or central coherence, investigated associations between set-shifting/central coherence with anxiety and/or depression and/or BMI. Risk of bias was assessed by using a critical appraisal checklist from the Joanna Briggs Institute. Results were summarized in a narrative synthesis.

Results

Although results are heterogeneous, the majority of studies report that neither body mass index (BMI), anxiety or depression is associated with altered central coherence and set-shifting in individuals with AN.

Conclusions

Findings indicate that BMI, depression and anxiety does not influence neuropsychological function in AN, suggesting that it could be a characteristic of the disorder. A complete understanding of predisposing, precipitating and maintaining factors in AN needs to be addressed in future research. This could contribute to the development of better and more targeted treatment strategies.

Peer Review reports

Background

Eating disorders are characterized by a persistent disturbance of eating or eating-related behaviour that result in altered consumption of food, which significantly impairs physical health or psychosocial functioning [1]. Anorexia nervosa (AN) is a severe eating disorder, with the highest mortality rate of any mental illness [2]. It is recognized by a relentless pursuit for thinness, extreme low body weight, and is often accompanied by a disturbed body image and a denial of illness. The aetiology of AN remains unclear, however the disorder is most likely caused by a complex interaction between genetic and environmental factors. Genetic variants significantly associated with AN have recently been identified, which demonstrates that the origins of this disorder is both metabolic and psychiatric [3].

Neuropsychological function in AN has been investigated in a number of studies, suggesting that specific neuropsychological impairments may be related to the pathophysiology of the disorder. These studies show that individuals with AN often display poor set-shifting abilities and weak central coherence (for systematic reviews see [4, 5]). Set-shifting, or cognitive flexibility, refers to the ability to shift thoughts or actions according to situational demands. Central coherence is the degree to focus on details in processing information and the global integration of such information [6]. Individuals with weak central coherence have a preference for details over global processing. These findings are most commonly seen in adults, and findings from studies including adolescents are less consistent [7, 8]. It is worth noting that adolescence is a time of considerable development of the brain and cognitive abilities, affecting the development of both executive functions and social cognition [9].

Neuropsychological impairments in AN could be a characteristic of the disorder, however, it could also be a consequence of malnutrition and underweight. Yet, the role of starvation is still unclear, as some neuropsychological functions remains intact and general intelligence is within the normal range [10]. In fact, studies have shown that patients with AN perform better on selected tasks, such as tasks requiring local information processing [5, 11, 12]. A review and meta-analysis state that individuals with AN score above the average intelligence quotient of the normative population in the National Adult Reading Test and Wechsler Intelligence Scales [13].

Individuals with AN often suffer from comorbid mental disorders. The most common comorbidities are mood disorders, personality disorders, anxiety disorders, obsessive-compulsive disorders, and developmental disorders (e.g. autism spectrum, attention-deficit hyperactivity disorder) [14]. Both depression and anxiety have been linked to cognitive impairments in the domains of episodic memory, verbal memory as well as varying subsets of executive function [15, 16]. However, the role of depression and anxiety on neuropsychological performance in individuals with AN remains unclear. On one hand, comorbid psychiatric symptoms such as depression and anxiety may contribute to poorer performance on neuropsychological tasks. On the other hand, poorer performance could also be a characteristic of the disorder, and unrelated to non-eating disorder psychopathology.

A complete understanding of neuropsychological function in AN may contribute to the development of better and more specific treatment strategies. It would be beneficial to determine whether neuropsychological impairments are related to comorbid disorders or as a consequence of underweight, or whether these are more likely a characteristic of the disorder per se. If so, this should be targeted in treatment.

Set-shifting and central coherence are the most studied cognitive domains in individuals with AN. This systematic review provide an overview of relevant studies and their findings concerning the relationship between clinical measures and neuropsychological function in AN. The aim of the current systematic review is to evaluate whether the observed alterations in set-shifting and central coherence in patients with AN are influenced by body mass index (BMI), ED severity and broader transdiagnostic factors such as anxiety and depression.

Methods

This systematic review was guided by the PRISMA criteria [17].

Eligibility criteria

All primary studies were peer-reviewed and written in English. There were no limitations in terms of time frame. Studies were included if they met the following inclusion criteria:

  1. 1.

    Manuscript written in English

  2. 2.

    Study published in peer-reviewed journals

  3. 3.

    Included individuals diagnosed with AN

  4. 4.

    Included tests measuring set-shifting and/or central coherence

  5. 5.

    Investigated associations between set-shifting/central coherence with anxiety and/or depression and/or BMI

Search strategy and selection of studies

Literature search was performed in PubMed, PsychInfo and Embase databases. A search for [anorexia nervosa] AND [central coherence] resulted in 73 (PubMed), 54 (PsychInfo) and 73 (Embase) articles. A search for [anorexia nervosa] and [set shifting] resulted in 92 (Pubmed), 101 (PsychInfo) and 117 (Embase) articles. See Additional file 1 for search strategy in PubMed. In total, the search resulted in 510 articles. After the initial searches in the different databases, duplicates were removed. Then, all titles and abstracts of 189 articles were examined and evaluated for relevance, which resulted in removal of 76 articles. Then, full text for all potential relevant articles (113), were obtained and screened thoroughly for relevance. Seventy-two articles were then removed due to lack of statistical analyses between neuropsychological function and clinical measures, or they were not relevant for the current review. In all, a total of 41 articles were included in the present study. Figure 1 illustrates a PRISMA flow chart of the search strategy (see Fig. 1).

Fig. 1
figure1

PRISMA 2009 flow diagram

Data extraction

The following variables were extracted from the articles: Authors, publication year, sample (size and diagnosis), neuropsychological test, measures of anxiety, depression and eating disorder symptoms, cognitive domain (set-shifting or central coherence), medical treatment. Outcome measures included analyses examining the relationship between set-shifting and/or central coherence and depression/anxiety/BMI/weight for height/eating disorder symptoms.

Assessment of risk of bias in included studies

Risk of bias of the included studies was assessed by using a critical appraisal checklist for case control studies and cross sectional studies from the Joanna Briggs Institute (https://joannabriggs.org/critical-appraisal-tools), which purpose is to assess the methodological quality of a study and to determine the extent to which a study has addressed the possibility of bias in its design, conduct and analysis. See Additional files 2 and 3.

Data synthesis

Due to the heterogeneity of the primary studies, especially considering the wide variety of neuropsychological tests and measures of psychopathology, and that different statistical methods have been used, a narrative synthesis approach was used for this current review.

Study characteristics

Seven studies included an adolescent sample (age < 18 years) [18,19,20,21,22,23,24], and four studies included both adults and adolescents [25,26,27,28]. The remaining 26 studies included an adult sample (age ≥ 18 years).

A variety of tests were used to measure set-shifting: Haptic Illusion Task, Cognitive Shift Task, Trail Making Test, Brixton Spatial Anticipation Test, Picture Set Test, Verbal Fluency Task, CatBat Task, Intra/Extra Dimensional Set Shift Test, Wisconsin Card Sorting Test, Visual Set-Shifting Task, Berg’s Card Sorting Test, Parametric Go/NoGo Test, Category Learning Task, Task Switching Paradigm, Design Fluency Task, Cued Color-Shape Switching Task and Comprehensive Trail Making Test. The following tests were used to measure central coherence: Rey Complex Figure Test, Embedded Figures Test, Sentence Completion Task, Homograph Reading Task, Overlapping Figures Test, Fragmented Pictures Task, Block Design, Object Assembly and Group Embedded Figures Test.

Different measures were used to assess anxiety and depression. The following measures were used to measure anxiety: State-Trait Anxiety Inventory (n = 14), Hospital Anxiety and Depression Scale (n = 8), Beck’s Anxiety inventory (n = 1), Depression, Anxiety and Stress Scale (n = 2), Spence Children’s Anxiety Scale (n = 1) and Beck Youth Inventory (n = 1). The most common measure of depression was Beck’s Depression Inventory (n = 18), then HADS (n = 8), Depression, Anxiety and Stress Scale (n = 2), Hopkins Symptoms Checklist (n = 1), Quick Inventory of Depressive Symptomatology, Children’s Depression Inventory (n = 1) and German depression inventory for children and adolescents (n = 1).

To examine the associations between cognitive performance and clinical characteristics, different regression analyses accounting for covariates as well as correlation analyses, both Pearson and Spearman’s, were used.

Results

Table 1 summarises the studies in more detail, including author, sample size (mean age), tests and significant correlations. The studies are organized chronologically according to year of publication. Measure of effect size is not included in the table, as the majority of the studies did not report effect size measures of the association between neuropsychological function and clinical measures.

Table 1 Overview of associations between neuropsychological function and clinical measures in patients with AN. Significant associations are highlighted in bold

Risk of bias in included studies

The majority of the studies included in the review had a low risk of bias, i.e. the groups were comparable other than the presence of disease, and the groups were properly matched. Valid, standardized tests were used, and testing procedures were the same for all participants. Confounding variables were identified and controlled for, and appropriate statistical tests were used. However, in some studies, issues concerning representativeness of the patient group and lacking control of possible confounding factors, led to an increased risk of bias. In one study, there was a low participation rate, which could affect the representativeness of the AN group [53]. Another study included a specific sample of AN with strict inclusion criteria, suggesting that this group was not representative for the AN population [55]. One study had a very heterogeneous AN group in terms of differences in duration of illness, age of onset, treatment experience and different levels of illness severity [50]. Furthermore, some of the studies did not control adequately for confounding factors. Most commonly was not considering the effect of pharmacological treatment on test performance [18, 39, 54, 56, 57], and lack of controlling for intelligence quotient [35, 51]. Other potential confounding factors are comorbidity, which was not assessed and controlled for in several studies [44, 56, 57]. These factors contribute to an increased risk of bias in these studies.

Body mass index and neuropsychological function

The studies that included associations between BMI and neuropsychological function show variable results. The majority of studies (n = 28) found no significant associations between set-shifting or central coherence and BMI [20, 22,23,24, 27,28,29,30,31,32, 34,35,36, 39,40,41,42,43,44,45, 48, 52,53,54,55,56,57,58]. Some studies (n = 7) found an association between BMI and neuropsychological function. One study found that BMI correlated with the number of errors in the Homograph Reading Task, a measure of central coherence [5]. A negative correlation was detected between BMI and the Fragmented Picture Task, but the correlation was not significant after correcting for multiple comparisons [26]. Another study found that significant low central coherence index became non-significant when adjusting for nadir BMI [50]. Herbrich et al. [21] found a negative correlation between BMI and Group Embedded Figures Test in the AN-binge/purge group. In addition, a negative correlation was found between BMI and Trail Making Test – 4 in the AN restrictive group. Studies including measures of set-shifting show that BMI was significantly associated with poor cognitive flexibility, were extreme weight conditions performed worse than healthy controls [46]. Øverås et al. demonstrated significant correlations between BMI and Wisconsin Card Sorting Test [47], and Roberts et al. [49] reported that the group with poor set-shifting abilities and global processing had a lower lifetime BMI than patients with only one neurocognitive inefficiency.

Anxiety and neuropsychological function

Most studies (n = 16) did not find an association between neuropsychological function and anxiety [5, 19,20,21,22, 25, 26, 28, 30, 32, 34, 39, 42, 52, 53, 56, 59], while nine studies did find a significant association. One study showed that group differences in a Cognitive Shift Task disappeared when controlling for anxiety [59]. Another study found that anxiety scored correlated with the Haptic Illusion task, a measure of set-shifting [31]. Roberts et al. [35] found increased anxiety in the poor set-shifting group, however the effects were small. Another study showed that state anxiety had a moderate correlation with Trail Making Test and Overlapping Figures Test [36]. Øverås et al. and Perpiña et al. also found that set-shifting correlated with anxiety [47, 51]. A better copy accuracy on the Rey Complex Figure Task was related to higher levels of anxiety [38], while trait anxiety in the AN-BP group correlated with Object Assembly, a measure of central coherence. Brown and colleagues [18] suggest that higher levels of anxiety could affect cognitive function.

Depression and neuropsychological function

A total of 20 studies reported that depression was not associated with neuropsychological function [5, 19,20,21,22,23, 25, 26, 28, 30, 33, 36, 38, 39, 42, 43, 46, 52, 53, 56, 59]. However, nine studies did find significant correlations between depression and measures of set-shifting and central coherence. These studies demonstrate correlations between depression and the Haptic Illusion Task [31], and set-shifting measured by Trail Making Test [34]. Another study found increased depression in the poor set-shifting group, however with small effects [35]. Medium correlations between set-shifting and depression was found in both patients with AN and patients with unipolar depression [40]. Abbate Daga et al. [45] found that AN individuals with poor set-shifting reported higher depression scores, measured by Beck’s Depression Inventory, than those patients intact set-shifting. Furthermore, studies by Øverås et al. [47] and Perpiña et al. [51] show significant correlations between depression and Wisconsin Card Sorting Test. Brown et al. [18] also suggest that higher levels of depression could affect cognitive function such as central coherence and set-shifting.

Eating disorder severity and neuropsychological function

Some studies investigated the associations between eating disorder severity and neuropsychological functions. Individuals with poor set-shifting had a higher score on the Yale-Brown-Cornell Eating Disorder Scale rituals [35]. Those with most fragmented perseverative cognitive style and the least global flexible style had more chronic and more severe illness, in terms of higher Eating disorder examination questionnaire (EDE-Q) global score and lower BMI [26]. Significant correlations were found between recall accuracy on the Rey Complex Figure Test and total EDE-Q score and scores on the Clinical and Research Inventory for Eating Disorders. In addition, an increase in eating disorder symptoms was related to an improvement in set-shifting measured by the trail making test/TMT [44].

Conversely, other studies showed no correlations between set-shifting performance [32, 40] or central coherence measured by the Rey Complex Figure Task [42] on scores on the Eating Disorder Inventory. Another study found no evidence that symptoms of eating disorders, as measured by EDE-Q, was associated with set-shifting ability [34]. Tenconi et al. [36] divided individuals with AN into three groups, acute AN, weight-recovered but symptomatic AN and long-term fully recovered AN. There were no differences between the groups on measures of set-shifting and central coherence. Furthermore, Danner et al. [38] found no correlations between Iowa Gambling Task and clinical characteristics, while Shott et al. [28] found no significant correlations between shift-cost index on the Category Learning Task and duration of illness. In another study, severity, assessed by the Yale-Brown-Cornell scale scores, BMI, onset and duration of illness, did not correlate with any neurocognitive performance [41]. One study found no significant associations between the Eating Attitudes Test scores and the Iowa Gambling Task total net scores or the Wisconsin Card Sorting Test [51].

Discussion

The aim of this study was to systematically review the literature to evaluate whether the observed alterations in set-shifting and central coherence are related to BMI or transdiagnostical factors such as anxiety and depression. The JBI Critical Appraisal has shown that the majority studies in this review had a low risk of bias. However, some studies were uncertain of the representativeness of their experimental group, or did not appropriately control for confounding factors such as intelligence quotient, pharmacological treatment or comorbidity, leading to a modest increase in risk of bias in these studies. Main findings, the role of neuropsychological functions in AN and clinical implications will be further discussed.

Neuropsychological function and clinical measures

The majority of studies report that neither BMI, eating disorder severity, anxiety nor depression is associated with neuropsychological task performance. Deficits in set-shifting and central coherence could thus be related to characteristics of the disorder, and are not a direct consequence of underweight, ED severity, anxiety or depression. However, although most findings points to the same direction, findings are inconsistent. The studies are heterogeneous and methodological differences needs to be considered. Various tests have been used to measure set-shifting and central coherence, one might therefore question whether these results are comparable, as different cognitive tests have different levels of complexity and might target multiple cognitive capabilities. For example, the WCST is primarily a measure of cognitive flexibility, however other cognitive functions such as working memory, inhibition and sustained attention are also necessary to perform this task. The Embedded Figures test appears to the participants to be a measure of attention, but is rather a visuospatial perceptual task measuring central coherence ability. A standardized approach to neuropsychological testing of individuals with AN could contribute to increased consistency across studies, and a better understanding of the neuropathology. Another important issue is that there are numerous measures of psychopathology, and especially for anxiety and depression. Even if they are supposed to measure the same constructs, results from different instruments can be difficult to compare [60].

Furthermore, different statistical methods have been used to determine the relationship between neuropsychological function and clinical measures. Most studies have used correlation analyses (i.e. Pearson or Spearman’s), however some studies did multivariate regression analyses including one or more covariates. The different methods could lead to different conclusions, as a correlation analysis does not adjust for the effect of other covariates.

Neuropsychological performance could also depend on medical treatment. A meta-analysis suggest that deficits in executive functions are greater in patients with more severe current depression, and those taking psychotropic medications [61]. In this review, a few studies accounted for medical treatment and whether it could influence neuropsychological function. Most of these studies suggested that medication did not influence test performance [26, 28, 31, 34, 37], while two studies found differences between medicated and non-medicated patients [36, 42]. Some studies had long-term use of medication [23, 24, 58] and current treatment with psychotropic drugs [25] as exclusion criteria.

It is important to note that cognitive development most likely impact neuropsychological function. Most neuropsychological studies have an adult sample, and studies with an adolescent AN sample are inconsistent, showing both weak and normal set-shifting [27, 62, 63] normal central coherence [21] as well as lower scores on style and central coherence index measured by Rey Complex Figure Test [22]. One study directly compared set-shifting performance in adolescents versus adults with AN and controls [28]. The results showed that set-shifting is normal in adolescents with AN, but impaired in adults, suggesting that neuropsychological difficulties do not precede the disorder, however are rather accompanied by the eating disorder symptoms. Whether neuropsychological function is influenced by clinical measures in adolescents remains unclear. Some studies showed a negative correlation between BMI and both set-shifting and central coherence [21], and that both anxiety and depression could affect cognitive function [18]. Conversely, quite a few studies did not find any significant relationship between set-shifting or central coherence and BMI, anxiety and depression [19, 22,23,24, 28].

Neuropsychological function as a link between underlying neurobiological alterations and AN symptoms and behaviour

The main purpose of cognitive neuroscience research in AN is to explain the link between symptoms/behaviour and underlying neural systems. Abnormalities in the fronto-striatal and limbic systems have been suggested to be involved in restrictive eating, which is one of the core symptoms of AN [64]. Central coherence and set-shifting are both executive functions, which rely on frontal lobe activity. More specifically, during a set-shifting task, patients with AN have shown activation in ventrolateral prefrontal cortex, dorsolateral prefrontal cortex, anterior cingulate, superior parietal cortex, cerebellum and precuneus. When performing a central coherence task, parietal, occipital, ventral temporal and premotor cortex is usually activated [65]. Maladaptive behaviours are associated with specific traits, which in turn are associated with neuropsychological processes that are related to specific neural circuits [66]. Clinically, impairments in set-shifting in AN could be linked to excessive control of eating and weight, but also cognitive and behavioural rigidity, which is a common characteristic of the disorder. Patients with AN are often “stuck” in maladaptive behaviours, and have difficulties to change these behavioural patterns. Cognitive and behavioural rigidity could be expressed in terms of being unable to shift perspective from detailed rules and rituals concerning food and eating [6]. Another typical characteristic of individuals with AN, is the increased attention to details, which could be linked to poor global processing. They often have detailed rituals concerning food, caloric intake, exercise and body checking. Taken together, inflexibility and an excessive control of details concerning food and weight, could contribute to the unusual ability to reduce weight and sustain an extreme low weight over a long period.

AN can be very difficult to treat, and there is no proven treatment that can reverse the core symptoms. A complete understanding of neuropsychological functioning in AN, as a link between neural mechanisms and AN symptoms, could contribute to the development of better treatment strategies. As suggested in this review, neuropsychological functions are not influenced by low weight or comorbid disorders, but might be a trait of the illness and should be targeted in treatment with that in mind.

As a result of the emerging neurobiological models of AN, it has been suggested that there is a need for a paradigm shift in the development of new treatment strategies, with more focus on brain-directed treatments [67]. Findings from neuroscientific research has opened up for new avenues for understanding the underlying mechanisms and neuropsychological functions for AN, and for developing new treatments. Temperament based treatment with support (TBT-S) [68] is based on models explaining the underlying neurobiological mechanisms that cause AN. The goal of this treatment is to teach individuals with AN to develop coping strategies for managing their temperament traits that are related to risk factors to develop an eating disorder. The treatment is delivered in a way that is compatible with their neuropsychological thinking style, i.e. detailed oriented, well-structured and predictable. The Maudsley Model of Anorexia Nervosa Treatment for Adults (MANTRA), aims to address the neuropsychological, emotional, relational and biological aspects of AN. It is based on research that has identified the key factors that tend to maintain eating difficulties [69]. The treatment helps patients to understand what causes AN, as well as to encourage patients to change their behaviour when they are ready for it. Cognitive remediation therapy (CRT) aims at improving cognitive flexibility and central coherence, as well as reducing perfectionism and improving the awareness of dysfunctional thinking styles. This treatment is focusing on the process rather than the content of thinking [70].

Limitations and future directions

Neuropsychological research in AN is distinguished by large varieties of tasks within the same cognitive domain and a variety of measures of psychopathology, which impact and limit interpretation of findings and comparison of results across studies. In a systematic review, a quantitative synthesis is considered to be superior methodologically compared to a narrative synthesis of the results. However, due to the heterogeneity of the primary studies, especially considering the wide variety of neuropsychological tests and measures of psychopathology and that different statistical methods have been used, a narrative synthesis approach was used. Another limitation with the existing literature is that few studies include an adolescent sample, who have a short duration of illness, and addressing this group could contribute to an increased understanding of predisposing factors of AN. Additional issues still needs to be addressed, such as when do the neuropsychological impairments occur? Are neuropsychological impairments related to age or to the progression of the disorder? Do neuropsychological impairments contribute to maintain the disorder? Future studies should target these issues, which could contribute to an increased understanding of the neuropathology of AN.

Future studies would also benefit from controlling for the potential effect of medical treatment on neuropsychological performance, include associations between neuropsychological functioning and eating disorder severity, by including other relevant measures that might have clinical relevance in addition to BMI, e.g. EDE-Q, or other measures of eating disorder symptoms.

Conclusions

Although the results are inconsistent, the majority of studies in this review report that BMI, anxiety and depression do not influence set-shifting and central coherence capacities in AN. This could indicate that set-shifting and central coherence are characteristic of the disorder per se, and not a consequence of comorbid psychopathologies or emaciation. However, which factors that contribute to altered neuropsychological function in AN are yet to be established. A complete understanding of predisposing, precipitating and maintaining factors of AN needs to be addressed in future research. This could contribute to the development of better and more targeted treatment strategies.

Abbreviations

AN:

Anorexia nervosa

BMI:

Body mass index

CRT:

Cognitive remediation therapy

EDE-Q:

Eating disorder examination questionnaire

MANTRA:

The Maudsley Model of Anorexia Nervosa Treatment for Adults

TBT-S:

Temperament based treatment with support

References

  1. 1.

    American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Arlington: American Psychiatric Association; 2013.

    Book  Google Scholar 

  2. 2.

    Arcelus J, Mitchell AJ, et al. Mortality rates in patients with anorexia nervosa and other eating disorders. A meta-analysis of 36 studies. Arch Gen Psychiatry. 2011;68(7):724–31.

    PubMed  Article  PubMed Central  Google Scholar 

  3. 3.

    Watson HJ, Yilmaz Z, et al. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nat Genet. 2019;51(8):1207–14.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  4. 4.

    Lang K, Lopez C, et al. Central coherence in eating disorders: an updated systematic review and meta-analysis. World J Biol Psychiatr. 2014;15(8):586–98.

    Article  Google Scholar 

  5. 5.

    Lopez C, Tchanturia K, et al. An examination of the concept of central coherence in women with anorexia nervosa. Int J Eat Disord. 2008;41(2):143–52.

    PubMed  Article  PubMed Central  Google Scholar 

  6. 6.

    Smith KE, Mason TB, et al. A systematic review of reviews of neurocognitive functioning in eating disorders: the state-of-the-literature and future directions. Int J Eat Disord. 2018;51(8):798–821.

    PubMed  PubMed Central  Article  Google Scholar 

  7. 7.

    Lang K, Stahl D, et al. Set shifting in children and adolescents with anorexia nervosa: an exploratory systematic review and meta-analysis. Int J Eat Disord. 2014;47:394–9.

    PubMed  Article  PubMed Central  Google Scholar 

  8. 8.

    Lang K. Tchanturia K. A systematic Review of Central Coherence in Young People with Anorexia Nervosa. J Child Adolesc Behav. 2014;2:140.

    Article  Google Scholar 

  9. 9.

    Blakemore SJ, Choudhury S. Development of the adolescent brain: implications for executive function and social cognition. J Child Psychol Psychiatry. 2006;47(3–4):296–312.

    PubMed  Article  PubMed Central  Google Scholar 

  10. 10.

    Ranseen JD, Humphries LL. The intellectual functioning of eating disorder patients. J Am Acad Child Adolesc Psychiatry. 1992;31(5):844–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  11. 11.

    Southgate L, Tchanturia K, et al. Information processing bias in anorexia nervosa. Psychiatry Res. 2008;160(2):221–7.

    PubMed  Article  PubMed Central  Google Scholar 

  12. 12.

    Roberts ME, Tchanturia K, et al. Is attention to detail a similarly strong candidate endophenotype for anorexia nervosa and bulimia nervosa? World J Biol Psychiatr. 2013;14(6):452–63.

    Article  Google Scholar 

  13. 13.

    Lopez C, Stahl D, et al. Estimated intelligence quotient in anorexia nervosa: a systematic review and meta-analysis of the literature. Ann General Psychiatry. 2010;9:40.

    Article  Google Scholar 

  14. 14.

    Marucci S, Ragione LD, et al. Anorexia nervosa and comorbid psychopathology. Endocr Metab Immune Disord Drug Targets. 2018;18(4):316–24.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  15. 15.

    Burt DB, Zembar MJ, et al. Depression and memory impairment: a meta-analysis of the association, its pattern, and specificity. Psychol Bull. 1995;117(2):285–305.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  16. 16.

    Castaneda AE, Tuulio-Henriksson A, et al. A review on cognitive impairments in depressive and anxiety disorders with a focus on young adults. J Affect Disord. 2008;106(1–2):1–27.

    PubMed  Article  PubMed Central  Google Scholar 

  17. 17.

    Moher D, Shamseer L, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1.

    PubMed  PubMed Central  Article  Google Scholar 

  18. 18.

    Brown M, Loeb KL, et al. Executive functioning and central coherence in anorexia nervosa: pilot investigation of a neurocognitive endophenotype. Eur Eat Disord Rev. 2018;26(5):489–98.

    PubMed  Article  PubMed Central  Google Scholar 

  19. 19.

    Buhren K, Mainz V, et al. Cognitive flexibility in juvenile anorexia nervosa patients before and after weight recovery. J Neural Trans (Vienna, Austria : 1996). 2012;119(9):1047–57.

    Article  Google Scholar 

  20. 20.

    Fowler L, Blackwell A, et al. Profile of neurocognitive impairments associated with female in-patients with anorexia nervosa. Psychol Med. 2006;36(4):517–27.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  21. 21.

    Herbrich L, Kappel V, et al. Differences in set-shifting and central coherence across anorexia nervosa subtypes in children and adolescents. Eur Eat Disord Rev. 2018;26(5):499–507.

    PubMed  Article  PubMed Central  Google Scholar 

  22. 22.

    Lang K, Lloyd S, et al. Do children and adolescents with anorexia nervosa display an inefficient cognitive processing style? PLoS One. 2015;10(7):e0131724.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  23. 23.

    Rossner A, Juniak I, van Noort BM, Pfeiffer E, Lehmkuhl U, Kappel V. Cognitive flexibility in juvenile anorexia Nervosain relation to comorbid symptoms of depression, obsessive compulsive symptoms and duration of illness. Zeitschrift Kinder. 2017;45(5):371–80.

    Google Scholar 

  24. 24.

    van Noort BM, Pfeiffer E, et al. Cognitive performance in children with acute early-onset anorexia nervosa. Eur Child Adolesc Psychiatry. 2016;25(11):1233–44.

    PubMed  Article  PubMed Central  Google Scholar 

  25. 25.

    Bentz M, Jepsen JRM, et al. Neurocognitive functions and social functioning in young females with recent-onset anorexia nervosa and recovered individuals. J Eat Disord. 2017;5:5.

    PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Harrison A, Tchanturia K, et al. Measuring state trait properties of detail processing and global integration ability in eating disorders. World J Biol Psychiatr. 2011;12(6):462–72.

    Article  Google Scholar 

  27. 27.

    McAnarney ER, Zarcone J, et al. Restrictive anorexia nervosa and set-shifting in adolescents: a biobehavioral interface. J Adolesc Health. 2011;49(1):99–101.

    PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Shott ME, Filoteo JV, et al. Cognitive set-shifting in anorexia nervosa. Eur Eat Disord Rev. 2012;20(5):343–9.

    PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Renwick B, Musiat P, et al. Neuro- and social-cognitive clustering highlights distinct profiles in adults with anorexia nervosa. Int J Eat Disord. 2015;48(1):26–34.

    PubMed  Article  PubMed Central  Google Scholar 

  30. 30.

    Tchanturia K, Morris RG, et al. Set shifting in anorexia nervosa: an examination before and after weight gain, in full recovery and relationship to childhood and adult OCPD traits. J Psychiatr Res. 2004;38(5):545–52.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  31. 31.

    Holliday J, Tchanturia K, et al. Is impaired set-shifting an endophenotype of anorexia nervosa? Am J Psychiatry. 2005;162(12):2269–75.

    PubMed  Article  PubMed Central  Google Scholar 

  32. 32.

    Steinglass J, Walsh BT. Habit learning and anorexia nervosa: a cognitive neuroscience hypothesis. Int J Eat Disord. 2006;39(4):267–75.

    PubMed  Article  PubMed Central  Google Scholar 

  33. 33.

    Steinglass JE, Walsh BT, et al. Set shifting deficit in anorexia nervosa. J Int Neuropsychol Soc. 2006;12(3):431–5.

    PubMed  Article  PubMed Central  Google Scholar 

  34. 34.

    Kim YR, Kim JE, et al. Impaired set-shifting ability in patients with eating disorders, which is not moderated by their catechol-O-methyltransferase Val158Met genotype. Psychiatry Investig. 2010;7(4):298–301.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Roberts ME, Tchanturia K, et al. Exploring the neurocognitive signature of poor set-shifting in anorexia and bulimia nervosa. J Psychiatr Res. 2010;44(14):964–70.

    PubMed  Article  PubMed Central  Google Scholar 

  36. 36.

    Tenconi E, Santonastaso P, et al. Set-shifting abilities, central coherence, and handedness in anorexia nervosa patients, their unaffected siblings and healthy controls: exploring putative endophenotypes. World J Biol Psychiatr. 2010;11(6):813–23.

    Article  Google Scholar 

  37. 37.

    Bühren K, Schwarte R, et al. Comorbid psychiatric disorders in female adolescents with first-onset anorexia nervosa. Eur Eat Disord Rev. 2014;22(1):39–44.

    PubMed  Article  PubMed Central  Google Scholar 

  38. 38.

    Danner UN, Sanders N, et al. Neuropsychological weaknesses in anorexia nervosa: set-shifting, central coherence, and decision making in currently ill and recovered women. Int J Eat Disord. 2012;45(5):685–94.

    PubMed  Article  PubMed Central  Google Scholar 

  39. 39.

    Galimberti E, Martoni RM, et al. Motor inhibition and cognitive flexibility in eating disorder subtypes. Prog Neuro-Psychopharmacol Biol Psychiatry. 2012;36(2):307–12.

    Article  Google Scholar 

  40. 40.

    Giel KE, Wittorf A, et al. Is impaired set-shifting a feature of "pure" anorexia nervosa? Investigating the role of depression in set-shifting ability in anorexia nervosa and unipolar depression. Psychiatry Res. 2012;200(2–3):538–43.

    PubMed  Article  PubMed Central  Google Scholar 

  41. 41.

    Galimberti E, Fadda E, et al. Executive functioning in anorexia nervosa patients and their unaffected relatives. Psychiatry Res. 2013;208(3):238–44.

    PubMed  Article  PubMed Central  Google Scholar 

  42. 42.

    Tapajoz PSF, Soneira S, et al. Theory of mind and central coherence in eating disorders: two sides of the same coin? Psychiatry Res. 2013;210(3):1116–22.

    Article  Google Scholar 

  43. 43.

    Van Autreve S, De Baene W, et al. Do restrictive and bingeing/purging subtypes of anorexia nervosa differ on central coherence and set shifting? Eur Eat Disord Rev. 2013;21(4):308–14.

    PubMed  Article  PubMed Central  Google Scholar 

  44. 44.

    Zuchova S, Kubena AA, et al. Neuropsychological variables and clinical status in anorexia nervosa: relationship between visuospatial memory and central coherence and eating disorder symptom severity. Eat Weight Disord. 2013;18(4):421–8.

    PubMed  Article  PubMed Central  Google Scholar 

  45. 45.

    Abbate-Daga G, Buzzichelli S, Marzola E, Amianto F, Fassino S. Clinical investigation of set-shifting subtypes in anorexia nervosa. Psychiatry Res. 2014;219(3):592–7.

    PubMed  Article  PubMed Central  Google Scholar 

  46. 46.

    Aloi M, Rania M, et al. Decision making, central coherence and set-shifting: a comparison between binge eating disorder, Anorexia Nervosa and Healthy Controls. BMC Psychiatr. 2015;15:6.

    Article  Google Scholar 

  47. 47.

    Overas M, Kapstad H, Brunborg C, Landro NI, Lask B. Are poor set-shifting abilities associated with a higher frequency of body checking in anorexia nervosa? J Eat Disord. 2015;3:17.

    PubMed  PubMed Central  Article  Google Scholar 

  48. 48.

    Elzakkers IF, Danner UN, et al. Mental capacity to consent to treatment in anorexia nervosa: explorative study. BJPsych Open. 2016;2(2):147–53.

    PubMed  PubMed Central  Article  Google Scholar 

  49. 49.

    Roberts ME, Tchanturia K, et al. Overlapping neurocognitive inefficiencies in anorexia nervosa: a preliminary investigation of women with both poor set-shifting and weak central coherence. Eat Weight Disord. 2016;21(4):725–9.

    PubMed  Article  PubMed Central  Google Scholar 

  50. 50.

    Weider S, Indredavik MS, et al. Central coherence, Visuoconstruction and visual memory in patients with eating disorders as measured by different scoring methods of the Rey complex figure test. Eur Eat Disord Rev. 2016;24(2):106–13.

    PubMed  Article  PubMed Central  Google Scholar 

  51. 51.

    Perpina C, Segura M, et al. Cognitive flexibility and decision-making in eating disorders and obesity. Eating and weight disorders: EWD. 2016.

  52. 52.

    Overas M, Kapstad H, Brunborg C, Landro NI, Rø Ø. Is overestimation of body size associated with neuropsychological weaknesses in anorexia nervosa? Eur Eat Disord Rev. 2017;25(2):129–34.

    PubMed  Article  PubMed Central  Google Scholar 

  53. 53.

    Hamatani S, Tomotake M, Takeda T, Kameoka N, Kawabata M, Kubo H, et al. Impaired central coherence in patients with anorexia nervosa. Psychiatry Res. 2018;259:77–80.

    PubMed  Article  PubMed Central  Google Scholar 

  54. 54.

    Leppanen J, Adamson J, et al. Impact of cognitive remediation therapy on neurocognitive processing in anorexia nervosa. Front Psychiatr. 2018;9:96.

    Article  Google Scholar 

  55. 55.

    Oldershaw A, Lavender T, et al. Are socio-emotional and neurocognitive functioning predictors of therapeutic outcomes for adults with anorexia nervosa? Eur Eat Disord Rev. 2018;26(4):346–59.

    PubMed  Article  PubMed Central  Google Scholar 

  56. 56.

    Berner LA, Romero EM, et al. Task-switching inefficiencies in currently ill, but not remitted anorexia nervosa. Int J Eat Disord. 2019;52(11):1316–21.

    PubMed  Article  PubMed Central  Google Scholar 

  57. 57.

    Sproch LE, Anderson KP, et al. A randomized controlled trial of group cognitive remediation therapy for anorexia nervosa: effects on set-shifting tasks for inpatient adults and adolescents. Int J Eat Disord. 2019;52(9):1004–14.

    PubMed  Article  PubMed Central  Google Scholar 

  58. 58.

    van Noort BM, Kraus MK, et al. Neuropsychological and Behavioural short-term effects of cognitive remediation therapy in adolescent anorexia nervosa: a pilot study. Eur Eat Disord Rev. 2016;24(1):69–74.

    PubMed  Article  PubMed Central  Google Scholar 

  59. 59.

    Tchanturia K, Morris RG, et al. An examination of perceptual and cognitive set shifting tasks in acute anorexia nervosa and following recovery. Eat Weight Disord. 2002;7(4):312–5.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  60. 60.

    Wahl I, Löwe B, et al. Standardization of depression measurement: a common metric was developed for 11 self-report depression measures. J Clin Epidemiol. 2014;67(1):73–86.

    PubMed  Article  PubMed Central  Google Scholar 

  61. 61.

    Snyder HR. Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review. Psychol Bull. 2013;139(1):81–132.

    PubMed  Article  PubMed Central  Google Scholar 

  62. 62.

    Dmitrzak-Weglarz M, Slopien A, et al. Polymorphisms of the SNAP-25 gene and performance on the Wisconsin card sorting test in anorexia nervosa and in healthy adolescent participants. Arch Psychiatry Psychother. 2011;1:43–51.

    Google Scholar 

  63. 63.

    Sarrar L, Ehrlich S, et al. Cognitive flexibility and agouti-related protein in adolescent patients with anorexia nervosa. Psychoneuroendocrinology. 2011;36(9):1396–406.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  64. 64.

    Kaye WH, Fudge JL, et al. New insights into symptoms and neurocircuit function of anorexia nervosa. Nat Rev Neurosci. 2009;10(8):573–84.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  65. 65.

    Garrett AS, Lock J, et al. Predicting clinical outcome using brain activation associated with set-shifting and central coherence skills in anorexia nervosa. J Psychiatr Res. 2014;57:26–33.

    PubMed  Article  PubMed Central  Google Scholar 

  66. 66.

    Steinglass JE, Walsh BT. Neurobiological model of the persistence of anorexia nervosa. J Eat Disord. 2016;4:19.

    PubMed  PubMed Central  Article  Google Scholar 

  67. 67.

    Schmidt U, Campbell IC. Treatment of eating disorders can not remain 'brainless': the case for brain-directed treatments. Eur Eat Disord Rev. 2013;21(6):425–7.

    PubMed  Article  PubMed Central  Google Scholar 

  68. 68.

    Wierenga CE, Hill L, et al. The acceptability, feasibility, and possible benefits of a neurobiologically-informed 5-day multifamily treatment for adults with anorexia nervosa. Int J Eat Disord. 2018;51(8):863–9.

    PubMed  Article  PubMed Central  Google Scholar 

  69. 69.

    Schmidt U, Magill N, et al. The Maudsley outpatient study of treatments for anorexia nervosa and related conditions (MOSAIC): comparison of the Maudsley model of anorexia nervosa treatment for adults (MANTRA) with specialist supportive clinical management (SSCM) in outpatients with broadly defined anorexia nervosa: a randomized controlled trial. J Consult Clin Psychol. 2015;83(4):796–807.

    PubMed  Article  PubMed Central  Google Scholar 

  70. 70.

    Tchanturia K, Davies H, et al. Cognitive remediation therapy for patients with anorexia nervosa: preliminary findings. Ann General Psychiatry. 2007;6:14.

    Article  Google Scholar 

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Acknowledgements

The author would like to thank Trine Sandblost and Eva Margrethe Lundanes for contributing to the literature search.

Availability of data and material

No data or materials were generated for this systematic review, only summarized data is presented in the manuscript.

Funding

The author of this study is currently in a postdoctoral position funded by Møre and Romsdal Hospital Trust in Norway. The design of the study, collection, analysis, interpretation of data and writing of the manuscript was funded by Møre and Romsdal Hospital Trust.

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TSF conducted the literature search, analyzed the data and wrote the paper. The authors read and approved the final manuscript.

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TSF has a PhD in Psychology from the University of Oslo and is currently in a postdoctoral position in Møre and Romsdal Hospital Trust in Molde, Norway.

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Correspondence to Tone Seim Fuglset.

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Supplementary Information

Additional file 1.

Search strategy in Pubmed. Illustrates the search strategy that was used in PubMed

Additional file 2.

Checklist_for_Analytical_Cross_Sectional_Studies Critical appraisal tool from the Joanna Briggs Institute, for cross sectional studies included in systematic reviews.

Additional file 3.

Checklist_for_Case_Control_Studies. Critical appraisal tool from the Joanna Briggs Institute, for case control studies included in systematic reviews.

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Fuglset, T.S. Is set-shifting and central coherence in anorexia nervosa influenced by body mass index, anxiety or depression? A systematic review. BMC Psychiatry 21, 137 (2021). https://doi.org/10.1186/s12888-021-03120-6

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Keywords

  • Anorexia nervosa
  • Set-shifting
  • Central coherence
  • Anxiety
  • Depression
  • Body mass index
  • Systematic review