Services on Demand
On-line version ISSN 1809-452X
Rev. Bras. Psiquiatr. vol.26 no.2 São Paulo June 2004
Monica DuchesneI; Paulo MattosII; Leonardo F FontenelleI, III; Heloisa VeigaI; Luciana RizoIV; José C AppolinarioI
IInstituto de Psiquiatria da Universidade
Federal do Rio de Janeiro e Grupo de Obesidade e Transtornos Alimentares do
Instituto Estadual de Diabetes e Endocrinologia (IEDE-RJ), RJ, Brasil
IIInstituto de Psiquiatria da Universidade Federal do Rio de Janeiro. Grupo de Estudo em Déficit de Atenção, RJ, Brasil
IIIInstituto de Psiquiatria da Universidade Federal do Rio de Janeiro (IPUB/UFRJ). Programa de Ansiedade e Depressão, RJ, Brasil
IVInstituto de Psicologia da Universidade Federal do Rio de Janeiro, RJ, Brasil
BACKGROUND: The pathophysiology of eating
disorders is still unknown, with many factors possibly involved. The existence
of a central nervous system (CNS) dysfunction is being investigated with particular
interest. One of the most employed strategies to reach this goal is the evaluation
of cognitive functioning of patients with eating disorders with neuropsychological
OBJECTIVE: To evaluate the current knowledge about the neuropsychology of ED.
METHODS: We performed a review of several data bases (including MedLINE, PsychoINFO, LILACS and Cochrane Data Bank), using terms related to main theme of interest. The review comprised articles published up to January, 2004.
RESULTS: Anorexia Nervosa (AN) was t he most studied ED from the neuropsychological point-of-view, with studies tending to elicit attentive, visuo-spatial, and visuo-constructive deficits among such patients. On the other side, patients with Bulimia Nervosa (BN) exhibited déficits in the selective aspects of attention and in executive functions. As yet, there is no study covering the neuropsychological aspects of binge-eating disorder. After successful treatment, individuals show improvement of some cognitive deficits, while other seem to persist.
CONCLUSIONS: The ED are possibly associated with a certain degree of neuropsychological dysfunction, even though there is no consesus with regard to which function is particularly impaired. The fact that some cognitive dysfunction tend to disappear after treatment argues in favor of the hypothesis that these are functional deficits. Other deficits, however, tend to persist, suggesting that they may precede the development of eating disorders or even contribute to their development or to a worse prognosis. The study of the neuropsychological aspects of ED may help tailoring more selective therapeutic approaches to patients suffering from these disorders.
Keywords: Eating disorders. Anorexia nervosa. Bulimia. Binge Eating Disorder. Neuropsychology.
Neuropsychology examines the relationship between behavior and mental functioning by means of psychometric tests or qualitative exams of the cognitive, sensory-motor, perceptual and emotional areas. It comprises the study of the behavioral expression of central nervous system (CNS) lesions, helping to screen for different manifestations of brain dysfunctions. Among several clinical utilizations, it serves as an auxiliary tool for diagnosis and documentation of psychiatric disorders and it is used to evaluate clinical effects of therapeutic interventions.
The etiology of eating disorders (ED) is unknown. The possibility that there is a dysfunction of the central nervous system (CNS) in patients with these disorders has been explored in several ways, including studies of neuropsychological test performance. An increasing number of studies assessing the relationship between several mechanisms of cognitive processing and certain eating behaviors have been conducted, aiming to achieve a better understanding of the pathophysiology of ED.
A great variety of cognitive deficits, assessed by several neuropyshcological tests, have been described in patients with ED. In some studies, patients with anorexia nervosa are characterized by attentional and visual perception deficits.6,31,43,55 Other findings are associated with bulimia nervosa, and abnormalities related to the executive functions were described.25,33,39 The increasing interest in this field can be demonstrated by the higher number of scientific publications in the last decade. However, several methodological issues have been found in these researches, generating conflicting results. The aim of this article is to assess the current state of the studies related to the neuropsychology of ED.
A bibliographic research was performed using the following databases: MedLINE, PsychoINFO, LILACS and Cochrane Data Bank. Original articles and reviews about the subject 'cognitive functions' and ED published up to the year 2004 were sought for the following medical subject headings (MeSH): 'eating disorder', 'anorexia nervosa', 'bulimia nervosa', 'binge eating disorder', 'binge', 'body image', 'obesity' X 'neuropsychology', 'neuropsychological assessment', 'neupsychological tests', 'neuropsychological evaluation', 'executive functions', 'memory', 'visuoperception', 'vigilance' and 'attention'. Lastly, the bibliographic references of the selected articles were also assessed in order to detect articles not found electronically. The articles found were then analyzed and classified, firstly according to the diagnostic category (anorexia nervosa, bulimia nervosa and binge eating disorder) and, afterwards, according to the type of cognitive function evaluated.
Cognitive functions in anorexia nervosa
Several cognitive functions were assessed in anorexia nervosa (AN) especially the attentional capability, memory, visuo-construction and the learning capability. We will present below the main alterations observed in the cognitive functioning of AN patients, subdivided according to the group of assessed functions.
The studies assessed used different classifications of cognitive functions and a great diversity of neuropsychological tests to measure them. Therefore, in order to allow the comparison of the findings of the several articles selected, it was used a classificatory system of the cognitive functions described by Lezak35 which subdivides the attention in several subitems: selectivity, sustained attention, division, and alternance. It is worth highlighting that most tests are not able to assess only one single aspect of attention In general, however, each test has a higher weight in a determined task, in detriment of the others. Additionally, as slower processing speed usually underlies attention deficits,35 we opted for including the former in this section.
1) Psychomotor speed
Kingston et al.29 and Jones et al.25 compared patients with AN and normal controls and verified that the former had a significantly worse performance in the Digit Symbol of the Wechsler Adult Intelligence Scale Revised (WAIS-R) or in an alternative form of this sub-test known as the Letter-Symbol of the Naylor Harwood Adult Intelligence Scale (NHAIS). The study by Palazidou et al.43 obtained similar results, using the Symbol Digit Coding. Jones et al.,25 Kingston et al.,29 and Szmukler et al.53 observed that AN patients show worse performance in part A of the Trail Making Test (TMT) and in the Stroop C. Some researchers did not succeed, however, to demonstrate the presence of abnormalities in the psychomotor speed of AN patients.58,6,25,38,53
In one recent study with AN patients and normal controls, Green et al.20 noted that patients had lower reaction time and slower motor speed than controls. Hamsher et al.22 also noted that 7 of the 20 patients assessed with AN show some degree of motor slowness. The Digit-Symbol depends on the motor speed for its adequate performing. Therefore, a plausible hypothesis would be that a general slowness due to malnutrition could contribute to an impaired performance by AN patients in tests such as the Digit-Symbol, independently of a primary deficit in the information processing.
2) Sustained attention or vigilance
Laessle et al.,30,31,32 using a Continuous Performance Test (CPT), compared AN patients to normal controls and verified a worse performance of the former, suggesting vigilance deficits. Jones et al.,25 using the Talland Letter Cancelation Test-R, obtained similar results. However, Bradley et al.,6 Green et al.,20 and Jones et al.25 did not find performance deficits in AN patients.
3) Selective attention
The excessive concern with eating, body weight, and shape is a characteristic symptom of ED. This fact led cognitive theories about AN to suggest that: the selective attention to information associated with food and appearance is a reasoning distortion which has an important role in the maintenance of dysfunctional behaviors associated with ED.18,57 These reasoning distortions may occur due to the patients cognitive schemas. which are ways of organizing the information obtained from life experiences and may produce systematic errors in the information processing.
Aiming to assess the way in which ED patients process information, researchers have used the emotional version of the Stroop Color-Naming Test (Stroop). In this version, ED patients have to name as quick as possible the colors in which a series of words associated with eating, body format (e.g., fat, diet, hips) or neutral words (e.g., ocean, clock) are written. In AN, due to the action of cognitive schemas, the words associated with eating and body shape would be more accessible under the cognitive perspective than neutral words. Consequently, the meaning of words related to these themes would interfere more intensively in the answer requested by the test saying the color in which the word is written- generating higher color naming latencies and showing an attentional bias.
Bem-Tovin et al.,3 Bem-Tovin et al.,4 Channon et al.,9 Cooper and Fairburn,11 Cooper et al.,11 Jones et al.,25 Long et al.36 and Perpina et al.44 compared AN patients to normal controls and reported a significant attentional bias for words associated with eating in AN patients. However, Lovell et al.37 did not find significant differences between groups.
On the other hand, studying the attentional bias for words associated with body shape and weight, Chanon et al.9 and Perpina et al.44 did not find differences between AN patients and normal controls. However, Bem-Tovin et al.,3,4 Bem-Tovin et al.,4 Cooper and Fairburn,11 Cooper et al.,14 Fassino et al.,15 Jones et al.,25 Long et al.36 and Lovell et al.37 showed a significant attentional bias among AN patients. In one study by Lovell et al.37 the bias was observed even in anorexic patients whose disease had remitted two years earlier.
Green and McKenna21 assessed 120 normal children and adolescents matched by gender. They noted a selective bias for words associated with food among 11-year-old girls, what was not observed for words associated with body shape. In the group of 14-year-old patients it was found a significant interference effect for words associated with food and body shape. It was not found any significant effect among male subjects. Therefore, the attentional bias regarding words about eating probably starts before that related to words associated with body shape, what may be due to an early social induction for restrictive eating behavior, particularly among women. At some degree, this interference effect may be found also among normal subjects who had food restriction and who showed concern about thinness.42,44,52
Rieger et al.45 studied the occurrence of attentional bias using the Visual Probe Detection Task on AN patients and noted a bias for words associated with body shape and weight. They suggested that AN patients may have a higher probability of paying attention to information related to weight gain, and ignoring consistent information about weight loss. This attentional effect may serve to maintain the concerns about body weight and shape and the fear of putting on weight, even in the presence of contradictory information.
This selective processing of themes related to eating and body shape has been interpreted as a sign of the existence of specific cognitive schemas among AN patients, and seems to be correlated with the degree of psychopathology.4,23,57
In general, these studies suggest that AN patients seem to show more prominent attention deficits in the areas of vigilance and selective attention.
In this section we have chosen to use different divisions of memory, as each author privileged a specific classification system. Some authors aimed to distinguish implicit from explicit aspects, whereas others distinguished short- and long-term aspects. By definition, explicit memory comprises all of the following: learning, codification, storage, recall and recognition of verbal and non-verbal materials which occur consciously, encompassing therefore short- and long-term memories. Working memory was considered separately.
1) Short- and long-term memories
Bradley et al.,6 Lauer et al.33 and Palazidou et al.43 assessed the short- and long-term verbal memories of AN patients and found a normal performance. However, Bayless et al.,2 Green et al.,20 Jones et al.,25 Kingston et al.,29 and Mathias and Kent38 noted that AN patients had worse performance than normal controls in tests which assess short- and long-term verbal memories.
Bradley et al.,6 Hamsher et al.,22 Kingston et al.,29 Mathias and Kent, Palazidou et al.,43 and Witt et al.58 did not observe short- and long-term visual memory deficits. Bayless et al.2 and Fox17 applied the Benton Visual Retention Test in AN patients and observed that they had an impaired performance in short-time evocation. However, these patients had also some difficulty to copy drawings, one of the pre-requisitions to perform that test, what may explain this result. Jones et al.,25 using delayed recall of the Rey-Osterrieth Complex Figure, noted worse performance among AN patients than among controls.
2) Working memory
Bradley et al.,6 Gillberg et al.,19 Lauer et al.33 and Witt et al.58 assessed the working memory of AN patients and reported normal performance. In one study by Hamsher22 18 patients (out of 20) were normal in performance tests which assessed working memory.
3) Implicit and explicit memory for words related to shape, weight and eating
Channon et al.9 and Hermans et al.23 studied the implicit memory for words related to shape, weight and eating and did not find deficits among AN patients. On the other hand, Hermans et al.23 and Sebastian et al.48 studied the explicit memory for words related to body shape and weight and eating. AN patients showed an explicit memory bias favoring a better memorizing of words associated with these themes (in comparison to neutral words). This bias was not correlated with measures of anxiety state and trait, what suggests that this explicit memory bias is not caused by selective processing of negatively assessed material among relatively anxious subjects, but to a specific bias for information associated with food, weight and shape. These data corroborate the findings of Vitousek et al.57 who found that AN patients have a selective memory for information associated with body shape and weight, indicating that this information is well established within memory structures. Ruminations about appearance and weight in which AN patients are frequently engaged seem to lead to the construction of strong associative links between concepts associated with AN and other varied memory representations. These elaborations are able to act as mnemonic clues to recover and activate the information about weight, shape or food.
Summing up, patients with anorexia nervosa seem to show preservation of learning memory capability showing in general, however, a selective memory bias for words related to eating, body shape and weight.
3. Visual perception, visuo-spatial and visuo-constructive skills
Kinsbourne and Bemporad (apud6) suggested that AN patients may show right parietal lobe dysfunction, a finding potentially responsible for body image disturbance. Thompson and Spana55 noted a correlation between visuo-spatial deficits and the decrease in the accurateness of estimation of body shape in normal individuals. Bradley et al.6 and Casper et al.8 noted a difficulty in processing visual information among AN patients. Kingston et al.29 used the Block Design and the Picture Completion (WAIS-R) and found worse performance of AN patients when compared to normal controls. Additionally, these authors performed a qualitative performance analysis and concluded that the worse performance was not due to motor slowness or attentional deficits. Gillberg et al.,19 Jones et al.,25 Mathias and Kent,38 and Szmukler et al.53 also found impairment in visuo-construction and visuo-spatial capabilities among AN patients. Fox17 reported that AN patients have impaired performance in the Benton Visual Retention Test, as well as difficulty to perform complex drawings. However, the control group used in this study was heterogeneous, i.e., it consisted of patients with several psychiatric disorders, and also had not a homogeneous distribution of males and females. In turn, Gillberg et al.,19 Hamsher et al.22 and Szmukler et al.53 assessed AN patients, comparing them with normal controls, and could not find any significant performance differences between the groups.
AN patients in general seem to show visuo-spatial and visuo-construction deficits, being still needed further studies for a better assessment of the correlation between these deficits and body image disturbance.
4. Executive functions
Jones et al.,25 Fox,17 Palazidou et al.,43 and Szmukler et al.53 noted deficits in the planning and problem-solving capabilities of AN patients. Fassino et al.15 observed impaired abstraction capability and cognitive flexibility among patients with anorexia nervosa restrictive type, when compared to normal controls. Similarly, Lauer et al.33 noted an impaired performance among AN patients in the Dual Task Design. However, as the reaction time is critical for this task, the impaired performance in this test could be attributed to the slowness typically associated with inanition. Green et al.,20 Lauer et al.,33 Mathias and Kent,38 and Witt et al.58 also noted an executive dysfunction among AN patients. However, Kingston et al.,29 using the Stroop CW and the TMT, which assess cognitive flexibility, did not find significant differences between 46 hospitalized AN patients and 41 controls, although a higher number of AN patients showed impaired performance in these tests.
In general, therefore, some AN patients seem to show impairment in the executive functions. However, several of the above-mentioned studies did not separate the restrictive from the purging subtypes, what could distort their results. This separation could facilitate the understanding of the different results detected.
5. Mathematic reasoning
Bradley et al.,6 Gillberg et al.19 and Mathias and Kent38 compared AN patients to normal controls and could not identify significant differences between the groups regarding mathematic reasoning. Hamsher et al.22 and Neumarker et al.41 found deficits in this field. However, the tests used by these authors to assess the mathematic reasoning are extremely dependent on the attentional capability, which is decreased in these patients. In the study by Neumarker et al.,41 weight recovery led to performance improvement in the tests used.
6. Verbal functions
Jones et al.25 compared the performance of patients with current AN, recovered AN and normal controls. These authors reported that patients with current AN had worse performance when compared to the other groups. Fox17 applied the Information (WAIS-R) in 15 AN patients and compared their performance with a group of patients with other psychiatric disorders. The AN group showed a significantly worse performance in this test. Bayless et al.,2 Bradley et al.,6 Gillberg et al.,19 Hamsher et al.,22 Mathias and Kent38 and Witt et al.58 did not detect deficits in verbal functions of AN patients.
7. Learning capability
Witt et al.58 compared the performance of hospitalized AN patients, normal subjects, depressed and diabetic patients on the Symbol-Digit Paired-Associate Learning Test [which assesses associative learning skills (association between non-related visual stimuli)]. These authors noted that the group of AN patients showed a significant impairment in the leaning capability, which could not be assigned to depression or to clinical diseases, as anorexic patients showed a much worse performance than the other ill controls. However, Bradley et al.,6 Hamsher et al.,22 Kingston et al.,29 Mathias and Kent,38 and Szmukler et al.53 did not observe learning deficits in AN patients. The results from these studies suggest that learning capability seems to be preserved among most anorexic patients.
Cognitive functions in bulimia nervosa
Cognitive functions in bulimia nervosa (BN) were much less studied than in AN. We may note that in BN the most frequently assessed functions were attention and executive functions. We will present below the main alterations observed in the cognitive functioning of BN patients.
1) Psychomotor speed
Ferraro et al.16 compared the performance of BN patients and normal controls in the Symbol Digit Modalit Test (SDMT) and verified that BN patients showed significantly worse performance than normal controls. Jones et al.,25 using the Digit Symbol (WAIS-R), also found similar results.
2) Sustained attention or vigilance
Laessle et al.,30,31,32 using the CPT in BN patients noted their significantly worse performance compared to a normal control group. As a whole, these data suggested that BN patients could show vigilance deficits. However, Jones et al.,25 also using the CPT, could not find statistically significant performance differences between 38 BN patients and 39 normal controls. Lauer et al.,33 using the d2: Brickenkamp test also found a normal performance among fourteen BN patients.
3) Selective attention
Using the emotional Stroop task, for ED, Black et al.5 did not observe an attentional bias for words associated with eating and body shape. Lovell et al.,37 also using the Stroop test, compared 24 patients with current BN, 11 bulimic patients with symptom remission and 33 normal controls. These authors did not find significant differences between groups regarding the words associated with eating. However, BN patients still under treatment were significantly slower to name words associated with body shape when compared to those already in remission and with the control group. However, Cooper and Fairburn,12,12,13 Jones-Chesters et al.,26 Perpina et al.44 and Rieger et al.45 identified impaired performance among patients for words associated with weight, body shape and eating. Summing up, patients with BN seem to show an attentional bias for words associated with body weight and shape and deficits in the speed of information processing.
Jones et al.25 and Lauer et al.33 assessed the short- and long-term memories of BN patients and compared them to normal controls. In these studies, the authors did not note significant differences between groups. Besides, it was observed that working memory was preserved in these patients.
3. Executive functions
BN patients show more impulsive behavior and a higher frequency of suicide and self-aggressive behavior than AN patients.56 These differences in the capability of controlling impulses may be mediated by deficits in executive functions. Impaired performance in the Symbol Digit Modalit Test (SDMT), described above, may favor additional evidence for this hypothesis, as the performance in this subtest depends on an adequate inhibition of impulses. Jones et al.,25 Lauer et al.33 and McKay et al.39 noted a significantly impaired performance among BN patients in tasks which assess executive functions.
Steiger et al.51 raised the hypothesis that the difficulties to control impulses might contribute, somehow, for the genesis of binge eating episodes. Being aware of the urge of having binge eating episodes, the subject would tend to be more vigilant regarding eating, aiming to keep the rising impulse to eat under control. However, if the definition of an impulsive subject encompasses the failure to have appropriate response inhibition, he/she would have difficulties to contain the eating impulse and would have a binge episode.51 Therefore, the capability of controlling the impulses would have a moderating effect over the food intake.25 Kaye et al.27 compared BN and AN patients and noted higher impulsivity among BN patients. Toner et al.54 compared restrictive and purging AN patients and noted that patients with the purging type had a more impulsive cognitive style and with significantly faster and less precise responses than patients with the restrictive type. This finding corroborates the existence of a link between executive functions deficits and the occurrence of binge eating episodes or purging episodes.
In contrast to these findings, Laessle et al.30 did not find evidence of higher impulsivity among BN patients. On the contrary, they were more cautious before answering to the subitems of the test. However, BN patients with history of anorexia were more cautious than those without this history. This is consistent with the idea that a stricter and more controlled cognitive style, typical of anorexia, could persist among BN patients.
4. Verbal functions
Jones et al.25 compared the performance of 38 BN patients to 39 normal controls in the Similarities, Comprehension and Vocabulary test (WAIS-R) and did not find significant differences between groups.
Cognitive functions in binge eating disorder
We have not found studies using neuropsychological tests to assess the cognitive functions of patients with binge eating disorder. This absence of information may be possibly attributed to the fact that BED is a diagnostic category which was recently incorporated to the DSM-IV.
Effect of the treatment on the cognitive functions
Lauer et al.33 assessed the neuropsychological profile of AN and BN patients four weeks before the beginning of a therapeutical program and after 7 months of treatment. They noted that the speed of processing information and the problem-solving capability improved significantly and jointly in both groups. The improvement in the cognitive deficits occurred parallelly to the improvement in the symptomatology of ED. Moser et al.40 also observed an improvement in the speed of information processing and in the memory of AN patients, after a successful treatment of the eating disorder. Regarding attention, Carter et al.7 and Cooper and Fairburn13 observed a decrease in the attentional bias for words related to eating, body shape and weight in BN patients after a treatment program.
Szmukler et al.53 noted that before the treatment 13 AN patients had one cognitive deficit in at least one area, whereas 6 patients had two or more cognitive deficits. The neuropsychological reassessment of these patients just after body weight recovery showed that only 7 patients maintained at least one deficit, while 5 had two or more. However, it is worth noting that, although the improvement was deemed significant, patients still had more deficits when compared to a control group (none of the controls had two or more deficits). As in the previous study, the weight was not totally reestablished among all patients, being possible that they continued to improve, had the nutritional recovery been more complete. Analyzing more in detail the response of cognitive deficits to the treatment of their underlying factors, Kingston et al.29 verified that after the treatment AN patients improved in relation to controls only in the tasks which assessed attention. However, these patients still showed psychomotor slowness, visuo-spatial deficits and difficulties with the immediate memory. As in the previous study, not all patients showed an ideal minimum weight at the end of the treatment (mean body mass index at the end of the treatment = 17.9). Green et al.20 also observed that although AN patients increased their weight after treatment and reported a decrease in their depressive and anxiety symptoms, there was no corresponding improvement in the immediate memory and in the motor speed. However, in this study the reassessment occurred within a twelve-week period, not being discarded a further cognitive improvement.
Even assessing patients with full weight recovery, some cognitive alterations seem to persist. Hamsher et al.22 assessed 20 AN patients and noted that before the treatment 11 of them (55%) had one cognitive deficit and the remaining ones (45%) showed two or more deficits. They noted that, although there was a general decrease in deficits after treatment, 35% of the patients still had some cognitive deficit in at least two measures. Lovell et al.37 assessed the performance of 23 AN and 11 BN patients, who had been in remission for two years and verified that AN patients still had a significant attentional bias.
The assessment of studies about the neuropsychology of eating disorders shows still incipient results. As far as we know this is the first systematic review about the neuropsychology of ED. AN is the ED with the greatest number of neuropsychological studies and, in general, the results point to attentional, visuo-spatial and visuo-constructive deficits. The neuropsychology of BN was less explored, although the studies found suggest that some cognitive alterations may be present. The most found alterations in BN are deficits in selective attention and executive functions. Up to now, there are no neuropsychological studies about binge eating disorder.
In order to better understand the cognitive alterations observed in these patients some considerations should be made. Subjects with normal weight being submitted to a restrictive diet may show a decrease in the capability of sustained attention, as well as difficulties in short-term memory, suggesting that the simple deprivation of food may be associated with deficits in the cognitive function.21 Possibly, at least partially, the deficits found in AN patients may be associated with food restriction and with the biological alterations consequent to accentuated weight loss. Although BN patients have normal weight, they show binge eating episodes followed by induced vomiting, abusive use of laxatives and periods of eating restriction, and, consequently, may show several organic and systemic alterations. Bayless et al.,2 Jones et al.,25 Kingston et al.,29 Laessle et al.,30 and Szmukler et al.53 observed a significant correlation between low weight in AN (or metabolic signs of hunger in BN) and worse performance in tasks which assessed cognitive flexibility, vigilance and memory. Other characteristic that should be mentioned is that the biological adaptation to hunger is associated with alterations in the neurotransmission systems of the CNS. Therefore, these alterations may be involved in the general reduction of the capability of cognitive processing in ED. However, several studies15,38,40,58 have not found a relationship between weight loss and cognitive performance. Besides, although several studies have detected an improvement of cognitive deficits after different treatment programs,22,29,33,40,53 they demonstrate the maintenance of deficits in several patients (35% in the study by Hamsher et al.;22 20% in the study by Kingston et al.;29 23% in that of Lauer et al.33 and 28% in Szmuckler et al.'s53). These data suggest that, while part of the deficits found on ED may correspond to a 'state', others may correspond to a 'trait' related to the specific pathophysiology of the disorders.
Hamsher et al.22 observed that AN patients with higher number of cognitive deficits, when compared to those without these deficits, would have a worse prognosis. Of the patients with the highest number of cognitive deficits assessed by this author, 71% showed unfavorable results one year after the end of treatment, defined as non-maintenance of weight gain. Contrastingly, 85% of patients without cognitive deficits or with only one deficit at the end of the treatment succeeded to maintain or increase their weight. Therefore, cognitive performance in the battery of tests applied at the end of treatment was significantly associated with the maintenance of the results obtained, what means that patients who have deficits may be a subgroup with worse prognosis, perhaps due to a CNS-related disorder, which could limit their recovery capability.
Lastly, some authors22 point to the fact that some AN patients had suggestive evidence of perinatal neurological lesion. This pre-morbid brain dysfunction may contribute for a more severe variant of AN, with worse prognosis.22 There is also the possibility of a time limit of duration of weight loss, beyond which the normalization of the brain function would be more difficult, or also that a longer period of normal eating and weight maintenance would be required to improve the cognitive functioning.
The analysis of cognitive functions among ED patients is hampered by the lack of uniformity between the studies found. The studies about the neuropsychology of eating disorders use different classification systems of ED, some of them using the DSM-III-R, others the DSM-IV and other ones the criteria described by Russell46 for BN, what hampers the comparison of results. Besides, the classification system of cognitive functions differs in the several studies analyzed, as well as the tests to assess a determined function. For example, some studies which used the digit symbol, conceptualize it as being a test which assesses psychomotor speed, whereas others used it to assess attention, without defining the concept of 'attention'. The methodology used also differed in the several studies. In the assessment of improvement in the cognitive performance after a treatment program, varied treatment periods and different intervals between the first assessment and reassessment were used. The values of body mass index considered as sufficient to characterize recovery were also different. Besides, several methodological problems were found in some studies, such as the utilization of non-validated tests, very small number of patients, inadequate control group, non-assessment of pre-existent brain lesion and of comorbidities which could have impact in the cognitive functioning. Other aspect that should be highlighted is the lack of comparison between AN and BN subtypes, what could help to prove the validity of the current classification. Lastly, most of the published studies used cases referred to specialized clinics and it is scarcely clear if these findings may be generalized for samples of the general population.
The best outlying of the cognitive profile of ED patients is important to guide more specific therapeutical approaches. For example, conventional BN treatments encourage relaxation of the eating control and this strategy seems to provide good results for many patients. However, highly-impulsive BN patients seem to have worse results.28 This last subgroup probably shows poorer responses to interventions focused on approaches associated with dietary restriction as these treatments address a dimension which is only peripheral for the maintenance of binge eating episodes in these subjects. Maybe in these cases we should concentrate in the deficient control of inhibitory impulses). The treatment of this subgroup of patients might require an increase in the capabilities of anticipating and inhibiting binge eating episodes (rather than relaxation of the dietary restriction), i.e., specialized interventions which manage primarily the capabilities of controlling impulses and improving self-regulation. On the other hand, the results of the modified version of the Stroop Test previously described may indicate a higher relevance to deal with cognitive schemas. The presence of attention deficits may demand, at least initially, that psychotherapeutical intervention should be oriented to behavioral techniques and simplified instructions.
The deficits found in the several studies analyzed may be secondary to other comorbid pathologies or show neurological sequelae stemming from long inanition periods. It would be therefore interesting to separate patients in groups and verify, among those who have deficits, what is the result obtained with treatment and perform a more comprehensive assessment of the previous history, trying to assess possible causes of lesion not associated with ED.
ED seem to be associated with some degree of neuropsychological dysfunction, although the specific functions which are impaired are not consistent between studies, maybe due to methodological variations. AN patients seem to show attentional, visuo-spatial and visuo-constructive deficits. BN patients seem to show mainly executive function deficits. The fact that after the treatment some patients show improvement in the cognitive functioning may indicate that, in some cases, the deficits are functional. The absence of improvement in the cognitive functioning of some patients after several forms of intervention may suggest that these deficits precede the development of ED, and may thus contribute for their development or for a worse prognosis. A subgroup of patients may also show pre-morbid brain dysfunction and this may be one of the factors that indicate worse prognosis.
1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington (DC); 1994. [ Links ]
2. Bayless JD, Kanz JE, Moser DJ, McDowell BD, Bowers WA, Andersen AE, Paulsen JS. Neuropsychological characteristics of patients in a hospital-based eating disorder program. Ann Clin Psychiatry 2002;14:203-7. [ Links ]
3. Ben-Tovim DI, Walker MK, Fok D, Yap E. An adaptation of the Stroop Test for measuring shape and food concerns in eating disorders: a quantitative measure of psychopatology? Int J Eat Dis 1989;8:681-7. [ Links ]
4. Ben-Tovim DI, Walker MK. Further evidence for the Stroop Test as a quantitative measure of psychopatology in eating disorders 1991;10:609-13. [ Links ]
5. Black CM, Wilson GT, Labouvie E, Heffernan K. Selective processing of eating disorder relevant stimuli: does the Stroop Test provide an objective measure of bulimia nervosa? Int J Eat Disord 1997;22:329-33. [ Links ]
6. Bradley SJ, Taylor MJ, Rovet JF, Goldberg E, Hood J, Wachsmuth R, Azcue MP, Pencharz PB. Assessment of brain function in adolescent anorexia nervosa before and after weight gain. J Clin Exp Neuropsychol 1997;19:20-33. [ Links ]
7. Carter FA, Bulik CM, McIntosh VV, Joyce PR. Changes on the stroop test following treatment: relation to word type, treatment condition and treatment outcome among women with bulimia nervosa. Int J Eat Disord 2000;28:349-55. [ Links ]
8. Casper RC, Heller W. 'La douce indifference' and mood in anorexia nervosa: neuropsychological correlates. Prog Neuropsychopharmacol Biol Psychiatry 1991;15:15-23. [ Links ]
9. Channon S, Hemsley D, Silva P. Selective processing of food words in anorexia nervosa. British J of Clin Psychol 1988;27:259-60. [ Links ]
10. Cooper MJ, Anastasiades P, Fairburn CG. Selective processing of eating-, shape-, and weight-related words in persons with bulimia nervosa. J Abnorm Psychol 1992;10:352-5. [ Links ]
11. Cooper MJ, Fairburn CG. Selective processing of eating, weight and shape related words in patients with eating disorders and dieters. Br J Clin Psychol 1992;31:363-5. [ Links ]
12. Cooper MJ, Fairburn CG. Demographic and clinical correlates of selective information processing in patients with bulimia nervosa. Int J Eat Disord 1993;13:109-16. [ Links ]
13. Cooper MJ, Fairburn CG. Changes in selective information processing with three psychological treatments for bulimia nervosa. British Journal of clinical Psychology 1994;33:353-6. [ Links ]
14. Cooper M, Todd G. Selective processing of three types of stimuli in eating disorders. Br J Clin Psychol 1997;36:279-81. [ Links ]
15. Fassino S, Piero A, Daga GA, Leombruni P, Mortara P, Rovera GG. Attentional biases and frontal functioning in anorexia nervosa. Int J Eat Disord. 2002;31:274-83. [ Links ]
16. Ferraro FR, Wonderlich S, Jocic Z. Performance variability as a new theoretical mechanism regarding eating disorders and cognitive processing. J Clin Psychol 1997;53:117-21. [ Links ]
17. Fox CF. Neuropsychological correlates of anorexia nervosa. Int J Psychiatry Med 1981;11:285-90. [ Links ]
18. Garner DM, Bemis K. A cognitive-behavioural approach to aorexia nervosa. Cogn Ther and Res 1982;6:1-27. [ Links ]
19. Gillberg IC, Gillberg C, Rastam M, Johansson M. The cognitive profile of anorexia nervosa: a comparative study including a community-based sample. Compr Psychiatry 1996;37:23-30. [ Links ]
20. Green MW, Elliman NA, Wakeling A, Rogers PJ. Cognitive functioning, weight change and therapy in anorexia nervosa. J Psychiatr Res 1996;30:401-10. [ Links ]
21. Green MW, McKenna FP. Developmental onset of eating related color-naming interference. Int J Eat Disord 1993;13:391-7. [ Links ]
22. Hamsher KD, Halmi KA, Benton AL. Prediction of outcome in anorexia nervosa from neuropsychological status. Psychiatry Res 1981;4:79-88. [ Links ]
23. Hermans D, Pieters G, Eelen P. Implicit and explicit memory for shape, body weight and food-related words in patients with anorexia nervosa and non-dieting controls. J Abnorm Psychol 1998;107:193-202. [ Links ]
24. Jansen A, Huygens K, Tenney N. No evidence for a selective processing of subliminally presented body words in restrained eaters. Int J Eat Disord 1998;24:435-8. [ Links ]
25. Jones BP, Duncan CC, Brouwers P, Mirsky AF. Cognition in eating disorders. J Clin Exp Neuropsychol 1991;13:711-28. [ Links ]
26. Jones-Chesters MH, Monsell S, Cooper PJ. The disorder-salient stroop effect as a measure of psychopathology in eating disorders. Int J Eat Disord 1998;24:65-82. [ Links ]
27. Kaye WH, Bastiani AM, Moss H. Cognitive style of patients with anorexia nervosa and bulimia nervosa. Int J Eat Disord 1995;18:287-90. [ Links ]
Keel PK, Mitchell JE. Outcome in bulimia nervosa. Am J Psychiatry 1997;154:313-21. [ Links ]
28. Kingston K, Szmukler G, Andrewes D, Tress B, Desmond P. Neuropsychological and structural brain changes in anorexia nervosa before and after refeeding. Psychol Med 1996;26:15-28. [ Links ]
29. Laessle RG, Bossert S, Hank G, Hahlweg K, Pirke KM. Cognitive performance in patients with bulimia nervosa: relationship to intermittent starvation. Biol Psychiatry 1990;27:549-51. [ Links ]
30. Laessle RG, Fischer M, Fichter MM, Pirke KM, Krieg JC. Cortisol levels and vigilance in eating disorder patients. Psychoneuroendocrinology 1992;17:475-84. [ Links ]
31. Laessle RG, Krieg JC, Fichter MM, Pirke KM. Cerebral atrophy and vigilance performance in patients with anorexia nervosa and bulimia nervosa. Neuropsychobiology 1989;21:187-91. [ Links ]
32. Lauer CJ, Gorzewski B, Gerlinghoff M, Backmund H, Zihl J. Neuropsychological assessments before and after treatment in patients with anorexia nervosa and bulimia nervosa. J Psychiatr Res 1999;33:129-38. [ Links ]
33. Lawrence AD, Dowson J, Foxall GL, Summerfield R, Robbins TW, Sahakian BJ. Impaired visual discrimination learning in anorexia nervosa. Appetite 2003;40:85-9. [ Links ]
34. Lezak M. Neuropsychological Assessment. 3rd ed. New York: Oxford University Press; 1995. [ Links ]
35. Long CG, Hinton C, Gillespie NK. Selective processing of food and body size words: application of the Stroop Test with obese restrained eaters, anorexics and normals. Int J Eat Disord 1994;15:279-83. [ Links ]
36. Lovell DM, Williams JM, Hill AB. Selective processing of shape-related words in women with eating disorders and those who have recovered. Br J Clin Psychol 1997;36:421-32. [ Links ]
37. Mathias JL, Kent PS. Neuropsychological consequences of extreme weight loss and dietary restriction in patients with anorexia nervosa. J Clin Exp Neuropsychol 1998;20:548-64. [ Links ]
38. McKay SE, Humphries LL, Allen ME, Clawson DR. Neuropsychological test performance of bulimic patients. Int J Neuroscience 1986;30:73-80. [ Links ]
39. Moser DJ, Benjamin ML, Bayless JD, McDowell BD, Paulsen JS, Bowers WA, Arndt S, Andersen AE. Neuropsychological functioning pretreatment and posttreatment in an inpatient eating disorders program. Int J Eat Disord 2003;33:64-70. [ Links ]
40. Neumarker KJ, Bzufka WM, Dudeck U, Hein J, Neumarker U. Are there specific disabilities of number processing in adolescent patients with anorexia nervosa? Evidence from clinical and neuropsychological data when compared to morphometric measures from magnetic resonance imaging. Eur Child Adolesc Psychiatry 2000;9:111-21 [ Links ]
41. Overduin J, Jansen A, Louwerse E. Stroop Interference and Food Intake. Int J. of Eat Dis 1995;18:277-85. [ Links ]
42. Palazidou E, Robinson P, Lishman WA. Neuroradiological and neuropsychological assessment in anorexia nervosa. Psychol Med 1990;20:521-7. [ Links ]
43. Perpina C, Hemsley D, Treasure J, de Silva P. Is the selective information processing of food and body words specific to patients with eating disorders? Int J Eat Disord 1993;14:359-66. [ Links ]
44. Rieger E, Schotte DE, Touyz SW, Beumont PJ, Griffiths R, Russell J. Attentional biases in eating disorders: a visual probe detection procedure. Int J Eat Disord 1998;23:199-205. [ Links ]
45. Russell GFM. Bulimia Nervosa: An ominous variant of Anorexia Nervosa. Psych Medicine 1979;9:429-48. [ Links ]
46. Sackville T, Schotte DE, Touyz SW, Griffiths R, Beumont PJ. Conscious and preconscious processing of food, body weight and shape, and emotion-related words in women with anorexia nervosa. Int J Eat Disord 1998;23:77-82. [ Links ]
47. Sebastian SB, Williamson DA, Blouin DC. Memory bias for fatness stimuli in the eating disorders. Cogn Ther and Res 1996;20:275-86. [ Links ]
48. Small A, Madero J, Teagno L, Ebert M. Intellect, perceptual characteristics, and weight gain in anorexia nervosa. J Clin Psychol 1983;39:780-2. [ Links ]
49. Smeets MA, Kosslyn SM. Hemispheric differences in body image in anorexia nervosa. Int J Eat Disord 2001;29:409-16. [ Links ]
50. Steiger H, Lehoux PM, Gauvin L. Impulsivity, dietary control and the urge to binge in bulimic syndromes. Int J Eat Disord 1999;26:261-74. [ Links ]
51. Stewart SH, Samoluk SB. Effects of short-term food deprivation and chronic dietary restraint on the selective processing of appetitive-related cues. Int J Eat Disord 1997;21:129-35. [ Links ]
52. Szmukler GI, Andrewes D, Kingston K, Chen L, Stargatt R, Stanley R. Neuropsychological impairment in anorexia nervosa: before and after refeeding. J Clin Exp Neuropsychol 1992;14:347-52. [ Links ]
53. Toner BB, Garfinkel PE, Garner DM. Cognitive style of patients with bulimic and diet-restricting anorexia nervosa. Am J Psychiatry 1987;144:510-2. [ Links ]
54. Thompson JK, Spana RE. Visuospatial ability, accuracy of size estimation and bulimic disturbance in a noneating-disordered college sample: a neuropsychological analysis. Percept Mot Skills 1991;73:335-8. [ Links ]
55. Vandereycken W, Pierloot R. The significance of subclassification in anorexia nervosa: a comparative study of clinical features in 141 patients. Psychol Med 1983;13:543-9. [ Links ]
56. Vitousek KB, Hollon SD. The investisgation of schematic content processing in eating disorders. Cogn Ther and Res 1990;14:191-214. [ Links ]
57. Witt ED, Ryan C, Hsu LK. Learning deficits in adolescents with anorexia nervosa. J Nerv Ment Dis 1985;173:182-4. [ Links ]
Rua Marques de São Vicente 124, sala 239
Gávea, 22451-040 Rio de Janeiro, RJ, Brasil
Tel.: (21) 2249-3512 / 2540-0367