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Computational Perspectives on Cognition in Anorexia Nervosa: A Systematic Review Cover

Computational Perspectives on Cognition in Anorexia Nervosa: A Systematic Review

Open Access
|Apr 2025

Figures & Tables

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Figure 1

PRISMA flow diagram for papers included in this study. *Due to the large volume of results, the first 350 items, ordered by relevance, were screened for Google Scholar. **Theoretical papers that proposed a computational approach to AN but did not meet the experimental sample requirements were nevertheless included.

Table 1

Table summarising the characteristics of reviewed studies.

STUDYTHEME(S)PARTICIPANT GROUPSWRITTEN AS GROUP NAME (SAMPLE SIZE): MEAN AGE (STANDARD DEVIATION), AND AGE RANGE, IF REPORTEDDIAGNOSTIC CRITERIA FOR THE AN GROUP(S)COGNITIVE PROCESSPARADIGMKEY FINDINGSCORRELATION OF MODEL PARAMETERS OR TASK PERFORMANCE WITH CLINICALLY RELEVANT FEATURES (SIGNIFICANT AT P < 0.05)
Bernardoni et al., 2018Reinforcement learningAcute AN (n = 36): 16.0 (2.6), 12–23 years
HC (n = 36): 16.3 (2.6), 12–24 years
Acute AN: participated in a treatment programmeLearning from feedback, decision-making under uncertaintyProbabilistic reversal learning taskIncreased learning rates after punishment in AN vs HC.Not found
Bernardoni et al., 2021Reinforcement learningrec-AN (n = 34): 22.3 (2.8), 15–28 years
HC (n = 63): 22.0 (2.9), 15–28 years
rec-AN: previously met DSM-IV criteria; no reported symptoms for > 9 monthsLearning from feedback, decision-making under uncertaintyProbabilistic reversal learning taskGreater difference in learning rates between punished and rewarded trials in rec-AN vs HC. AN characterised by a learning style associated with low mood.Not found
DeGuzman et al., 2017Reinforcement learningAN (n = 21): 15.2 (2.4), 13–20 years
HC (n = 21): 16.4 (1.9), 11–20 years
AN: recruited from a treatment programme; adult participants met DSM-5 criteria
Timepoint 1: Acute-AN
Timepoint 2: AN-WR: after weight restoration to a BMI ≥ 19.5
Learning from feedback, punishment sensitivityMonetary reward taskNegative PEs related to stronger responses in the caudate in Acute AN vs HC. Positive PEs related to stronger responses in the insula in Acute AN vs HC. At timepoint 2, no difference in PE signalling in AN-WR vs HC.In AN, higher PE signalling in the caudate was associated with worse treatment outcomes.
Shott et al., 2012Reinforcement learningAN (n = 21): 25.2 (6.4)
Subtype breakdown: AN-R (n = 11), AN-BP (n = 10)
HC (n = 19): 27.3 (5.3)
AN: met DSM-IV criteria; recruited from a treatment programmeFeedback learning, decision-makingCategory learning taskImpaired implicit category learning in AN vs HC.Impaired category learning was associated with lower self-reported sensitivity to punishment and higher novelty seeking.
Filoteo et al., 2014Reinforcement learning; cognitive flexibilityAN-WR (n = 19): 29.7 (6.6),
HC (n = 35): 27.7 (5.1)
AN-WR: previously met DSM-IV criteria, no reported symptoms for > 12 monthsLearning from feedback, set shiftingCategory learning task with rule changeIncreased learning speed during initial rule acquisition in AN-WR vs HC. Deficits in set shifting in AN-WR vs HCs.In AN-WR, a more abnormal learning speed was correlated with shorter duration of weight restoration, and smaller change between the lowest registered and current BMI.
Wierenga et al., 2021Reinforcement learningAN (n = 42): 22.8 (9.6), 16–60 years
HC (n = 38): 21.6 (4.3), 15–32 years
AN: met DSM-5 criteria; recruited from a treatment programmeLearning from feedback, punishment sensitivityProbabilistic associative learning taskLower learning rates and impaired learning from feedback in AN vs HC.In AN, the magnitude of negative PEs during trials with punishment was associated with worse treatment outcomes.
Chan et al., 2014Value-based decision-makingAN (n = 94): 25.6 (8.5)
BN (n = 63): 26.9 (10.8)
HC (n = 67): 25.5 (6.7)
Data were collected across three sites.
AN at two sites (n = 81/94): met DSM-IV criteria
AN one site (n = 13/94): EDDS questionnaire (Stice et al., 2000)
Probabilistic decision-makingIGTImpaired task performance in AN vs HC, characterised by lower memory parameter estimates, indicating greater reliance on most recent outcomes for decision-making. Decreased loss sensitivity in AN vs HC in two out of three AN samples.In AN, the learning/memory parameter from a prospect-valence learning model was positively correlated with BMI.
Verharen et al., 2019Value-based decision-makingStudy 1:
AN (n = 60): 27.3 (9.9)
HC (n = 55): 24.5 (8.3)
Study 2:
AN (n = 216): 22.3 (7.3)
AN: met DSM-IV criteria; recruited from a treatment programmeProbabilistic decision-makingIGTReduced loss aversion parameter in AN vs HC (gains and losses have similar impact on behaviour in AN, contrary to HC where losses have bigger impact on future choices).Not found
Jenkinson et al., 2023Value-based decision-makingClinical study:
Acute AN (n = 31): 24.9 (8.7).
AN-WR (n = 23): 26.1 (7.5)
HC low disordered eating (n = 38): 22.9 (3.3)
HC high disordered eating (n = 35): 22.5 (4.7)
Non-clinical studies: Study 0 + Study 1: (n = 170): 32.3 (10.6)
Study 2 (n = 315): 23.4 (6.6)
Acute AN: met DSM-5 criteria; participated in a treatment programme
AN-WR: diagnosed by a clinician as no longer meeting DSM-5 criteria; no reported symptoms for > 12 months
HC high and low disordered eating: BMI, EDE-Q (Fairburn & Beglin, 1994) restraint scores
Decision-making under uncertainty, risk aversionBART with a body-size conditionRisk taking in Acute AN and AN-WR was modulated by values related to increasing/decreasing body size. Corresponding computational changes in risk aversion, but not loss aversion, were seen in AN-WR.Not found
Decker et al., 2015Value-based decision-makingTimepoint 1:
Acute AN (n = 59): 25.0 (7.5)
HC (n = 39): 24.7 (7.6)
Timepoint 2:
AN-WR (n = 43)
HC (n = 31)
Acute AN: met DSM-5 criteria; participated in a treatment programme
Timepoint 2, AN-WR: measurements after weight restoration to a BMI ≥ 19.5
Intertemporal decision-making, inhibitory controlDelay discounting taskLower delay discounting rates in Acute AN vs. HC. The difference at timepoint 1 was driven by AN-R.
At timepoint 2, no difference in delay discounting rates in AN-WR vs HC.
Not found
King et al., 2016Value-based decision-makingAN (n = 34): 15.7 (2.5), 12-22 years
HC (n = 34): 16.1 (2.4), 12-22 years
AN: met DSM-IV criteria; participated in a treatment programmeIntertemporal decision-making, inhibitory controlICTNo difference in delay discounting rates in AN vs HC, faster decision speed in AN vs. HC. Decreased brain activation in lateral prefrontal and posterior parietal regions associated with decision-making in AN vs HC.Not found
King et al., 2020Value-based decision-makingAN-WR (n = 36): 22.2 (3.3), 17–27 years
HC (n = 36): 21.2 (3.4), 17-27 years
AN-WR previously met DSM-IV criteria; no reported symptoms for > 12 monthsIntertemporal decision-making, inhibitory controlICTNo differences in behavioural or brain measures in AN-WR vs. HC.Not found
Ritschel et al., 2015Value-based decision-makingAN (n = 34): 15.3 (2.7)
rec-AN (n = 33): 21.7 (3.1)
HC (n = 54): 18.8 (4.4)
AN: met DSM-IV criteria; recruited from a treatment programme
rec-AN: previously met DSM-IV criteria, no reported symptoms for > 6 months
Intertemporal decision-making, inhibitory controlICTNo difference in delay discounting parameter (k) in AN vs HC.Not found
Steinglass et al., 2012Value-based decision-makingAcute AN (n = 36): 24.8 (6.4)
HC (n = 28): 25.9 (6.7)
Acute AN: met DSM-IV criteria; participated in a treatment programmeIntertemporal decision-making, inhibitory controlTitration taskDecreased temporal discounting in Acute AN vs HC.Not found
Steinglass et al., 2017Value-based decision-makingHC (n = 75): 29.0 (7.6)
AN (n = 27): 27.7 (7.5)
OCD (n = 50): 29.2 (5.8)
SAD (n = 44): 30.0 (4.0)
AN: met DSM-IV criteria; participated in a treatment programme (different stages)Intertemporal decision-making, inhibitory controlTitration task; ICTDecreased temporal discounting in AN vs HC. No significant difference in HC vs OCD and SAD.Anxiety was associated with decreased temporal discounting in all groups.
Foerde et al., 2021Model-based and model-free controlAN (n = 41): 27.1 (7.0)
HC (n = 53): 25.6 (5.0)
AN: met the DSM-5 criteria; recruited from a treatment programmeGoal-directed behaviour, learning, decision-makingTwo-step decision task with monetary and food-specific conditionDecreased model-based contribution to learning in AN vs HC in monetary and food conditions.Not found
Onysk & Seriès, 2022Model-based and model-free controlED (n = 35): 30.6 (4.5), 18-38 years
HC (n = 32): 26.4 (4.6), 18-38 years
ED: reported being on restrictive diet in an attempt to lose weight; scored ≥ 14 on disordered eating and body image preoccupation on the EAT-26 (Garner et al., 1982) and AAI (Veale et al., 2014)Goal-directed behaviour, learning, decision-making, body image preoccupationTwo-step decision task with monetary and body image disturbance conditionDecreased model-based and model-free contributions to learning in ED vs HC, with a greater effect in the body image disturbance condition.The difference between model-based learning in the neutral and body image disturbance condition correlated with self-reported scores on disordered eating and body image preoccupation questionnaires.
Pike et al., 2023Cognitive flexibility; reinforcement learningrec-AN (n = 25): 23.5 (3.8)
Subclinical ED (n = 25): 23.8 (2.8)
HC (n = 32): 25.0 (6.4)
rec-AN: self-reported former AN diagnosis from a healthcare professional; no reported symptoms for > 12 months; did not meet DSM-5 criteria for ED
subclinical ED: scored ≥ 20 on the EAT- 26 (Garner et al., 1982).
Adaptive learning, set shiftingThe volatility taskElevated learning rate adjustments in response to volatility in rec-AN vs HC.Not found
Neuser et al., 2020Theory-based accounts; value-based decision-makingPunishment sensitivity, reward sensitivityBandit task simulationsLow and invariable reward sensitivity associated with lower calorie intake in model simulations.
Rigoli & Martinelli, 2021Theory-based accounts; value-based decision-makingChoice evaluationHigh reference point as a proposed explanation for behavioural manifestations of AN.

[i] Note. Abbreviations: AN = Anorexia Nervosa; AN-R = Anorexia Nervosa Restricting Subtype; AN-BP = Anorexia Nervosa Binge-Purge Subtype; HC = Healthy Control; AN-WR = Weight Restored Anorexia Nervosa; BN = Bulimia Nervosa; ED = Eating Disorder; OCD = Obsessive-Compulsive Disorder; SAD = Social Anxiety Disorder; rec-AN = Recovered Anorexia Nervosa; IGT = Iowa Gambling Task; BART = Balloon Analogue Risk Task; ICT = Intertemporal Choice Task; PE = Prediction Error; BMI = Body Mass Index; DSM-IV/5 = Diagnostic and Statistical Manual of Mental Disorders, 4th/5th Edition; EDDS = Eating Disorder Diagnostic Scale; EAT-26 = Eating Attitudes Test; AAI = Appearance Anxiety Inventory; EDE-Q = Eating Disorders Examination Questionnaire.

DOI: https://doi.org/10.5334/cpsy.128 | Journal eISSN: 2379-6227
Language: English
Submitted on: Sep 26, 2024
Accepted on: Mar 24, 2025
Published on: Apr 7, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Marta Radzikowska, Alexandra C. Pike, Sam Hall-McMaster, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.