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The effects of neuromodulation interventions on the eating behaviors of patients with eating disorders compared to healthy controls, sham therapies, and other therapeutic approaches: A systematic review

Published online by Cambridge University Press:  24 November 2025

Evangelia Tsapakis*
Affiliation:
3rd Department of Psychiatry, Aristotle University of Thessaloniki , Greece
Efi Karakosta
Affiliation:
3rd Department of Psychiatry, Aristotle University of Thessaloniki , Greece
Apostolos Karapatis
Affiliation:
3rd Department of Psychiatry, Aristotle University of Thessaloniki , Greece
Anysia Papazoglou
Affiliation:
3rd Department of Psychiatry, Aristotle University of Thessaloniki , Greece
Michael Treiber
Affiliation:
3rd Department of Psychiatry, Aristotle University of Thessaloniki , Greece Medizinische Universität Wien , Austria
Konstantinos N. Fountoulakis
Affiliation:
3rd Department of Psychiatry, Aristotle University of Thessaloniki , Greece
*
Corresponding author: Evangelia Tsapakis; Email: emtsapakis@doctors.org.uk

Abstract

Background

Standard treatments for eating disorders (EDs) typically include nutritional rehabilitation, psychotherapy, and pharmacotherapy, often resulting in modest effectiveness. Neuromodulation has been proposed as a potential add-on strategy. This review aims to critically evaluate its effects on EDs.

Methods

The PICO framework was used to conduct a search according to the PRISMA guidelines for systematic reviews (PROSPERO Registration no. CRD42024559700). Descriptive and clinical data for each study, including comorbidity and safety, were tabulated by disorder. Quality assessment was performed using the RoB2 and ROBINS-I tools.

Results

Fifty-eight studies examining rTMS, tDCS, DBS, ECT, iTBS, and dTMS in AN, BN, and BED met inclusion criteria. In AN, the effects of rTMS and tDCS on weight and BMI were modest, with notable benefits for adolescents. Conversely, in refractory AN, DBS produced significant and lasting increases in BMI and reductions in comorbid psychopathology. For BN, single-session rTMS reduced cravings acutely, while multisession results were mixed; tDCS enhanced self-control. In BED, right-DLPFC tDCS decreased cravings, food intake, and binge frequency, showing a dose-dependent effect, whereas early data on NAcc DBS were promising but limited.

Conclusions

Noninvasive stimulation methods effectively reduced cravings and impulsivity, showing more consistent improvements in BN and BED than in weight restoration for AN. Overall, this pattern replicates recent review reports. However, variations in study designs, stimulation protocols, and outcome measures may undermine the reliability of these conclusions and complicate comparisons across studies. Future studies should be adequately powered, multisession, with durability endpoints, and target and dose refinement.

Information

Type
Review/Meta-analysis
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association
Figure 0

Table 1. Neuromodulation techniques used in EDs

Figure 1

Figure 1. PRISMA flow chart for inclusion of studies.

Figure 2

Table 2. Neuromodulation controlled clinical trials in AN

Figure 3

Table 3. Neuromodulation studies in AN – open trials and case series

Figure 4

Table 4. Neuromodulation studies in BN – controlled trials

Figure 5

Table 5. Neuromodulation studies in BN – open label studies

Figure 6

Table 6. Neuromodulation studies in BED – controlled trials

Figure 7

Table 7. Neuromodulation studies in BED – case series

Figure 8

Table 8. AN-controlled trials pooled means and pooled SDs calculated by n-weighted mean across groups and pooled variance including within- and between-group data

Figure 9

Table 9. AN open trials pooled means and pooled SDs calculated by n-weighted mean across groups and pooled variance including within- and between-group data

Figure 10

Table 10. BN-controlled trials and case series pooled means and pooled SDs calculated by n-weighted mean across groups and pooled variance including within- and between-group data

Figure 11

Table 11. BED-controlled trials and case series pooled means and pooled SDs calculated by n-weighted mean across groups and pooled variance including within- and between-group data

Figure 12

Table 12. Neuromodulation controlled trials in AN – comorbidities

Figure 13

Table 13. Neuromodulation open trials and case series in AN – comorbidities

Figure 14

Table 14. Neuromodulation studies in BN – comorbidities

Figure 15

Table 15. Neuromodulation studies in BED – comorbidities

Figure 16

Table 16. Neuromodulation clinical trials in AN – safety

Figure 17

Table 17. Neuromodulation open trials and case series in AN – safety

Figure 18

Table 18. Neuromodulation studies in BN – safety

Figure 19

Table 19. Neuromodulation studies in BED – safety

Figure 20

Table 20. Results of the quality assessments of RCTs with the RoB 2 tool

Figure 21

Figure 2. RoB results. Domain 1: Bias arising from the randomization process. Domain 2: Bias due to deviations from intended interventions. Domain 3: Bias due to missing outcome data. Domain 4: Bias in measurement of the outcome. Domain 5: Bias in selection of the reported result.

Figure 22

Table 21. Results of the quality assessment of non-randomized clinical trials with the ROBINS-I V2 tool

Figure 23

Figure 3. ROBINS-I V2 open trials results. Domain 1: Risk of bias due to confounding. Domain 2: Risk of bias in classification of interventions. Domain 3: Risk of bias in selection of participants into the study (or into the analysis). Domain 4: Risk of bias due to deviations from intended interventions. Domain 5: Risk of bias due to missing data. Domain 6: Risk of bias arising from measurement of the outcome. Domain 7: Risk of bias in selection of the reported result.

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