Evidence map›Paper›PMID 40879735›Full record

ArticlePsychopharmacology2026

Investigating the relationship between gut microbiota and electrocortical signatures of feedback processing: an ERP study.

Sabrina Lenzoni, Kirsty Hunter, Nadja Heym, Bryony Heasman, Stephanie Blanco, Gemma Walton, Glenn Gibson, Carlos Poveda, Thomas Baguley, Grace Y Wang and 2 more

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Article in Psychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Sabrina LenzoniDepartment of Psychology, Pontifical University of Rio de Janeiro, Rio de Janeiro, 22451-900, Brazil.
Kirsty HunterDepartment of Sport Science, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Nadja HeymDepartment of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Bryony HeasmanDepartment of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Stephanie BlancoDepartment of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Gemma WaltonDepartment of Food and Nutritional Sciences, University of Reading, Reading, RG6 6AH, UK.
Glenn GibsonDepartment of Food and Nutritional Sciences, University of Reading, Reading, RG6 6AH, UK.
Carlos PovedaDepartment of Food and Nutritional Sciences, University of Reading, Reading, RG6 6AH, UK.
Thomas BaguleyDepartment of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK.
Grace Y WangSchool of Psychology and Wellbeing, University of Southern Queensland, Toowoomba, 4300, Australia.
Daniel C MograbiDepartment of Psychology, Pontifical University of Rio de Janeiro, Rio de Janeiro, 22451-900, Brazil.
Alexander SumichDepartment of Psychology, Nottingham Trent University, Nottingham, NG1 4FQ, UK. alexander.sumich@ntu.ac.uk.ORCID http://orcid.org/0000-0003-4333-8442

Funding

Nottingham Trent University Health and Wellbeing Grant
6 · The paper itself

Abstract

rationaleEvaluative processing of action outcome is considered crucial for learning and adaptive adjustments of behaviour. Feedback-related negativity (FRN) is an event-related potential elicited by feedback presentation, with implicated neural sources in the anterior cingulate cortex. Bidirectional communications within the brain-gut-microbiota axis modulate cognition and behaviour, and microbial composition has been associated with medial prefrontal cortex function and clinical risk for depression.

objectivesThe present study aimed to investigate associations between specific gut microbiota and the FRN.

methodsTwenty-nine healthy participants completed self-report measures of depression and a Faces and Feedback task during electroencephalography recording. Select implicated microbiota genera were enumerated from stool samples (Clostridium, Lactobacillus), along with plasma C-reactive protein (CRP) as an index of systemic inflammation.

resultsFRN amplitude for positive feedback was positively correlated with microbiota abundance. The relationship between Clostridium and FRN was confirmed by multilevel modelling analysis, controlling for depression and CRP. The latter was positively associated with FRN amplitude.

conclusionsFindings suggest that the brain-gut-microbiota-axis may modulate or be modulated by self-monitoring processes. The current work provides insights into neurophysiological mechanisms underlying reward processing and indicates novel directions for therapeutic interventions, such as those that modulate the gut microbiome.

Indexed as

Evoked PotentialsFeedback, PsychologicalGastrointestinal MicrobiomeAdultC-Reactive ProteinDepressionElectroencephalographyFemaleGyrus CinguliHumansMaleYoung AdultC-Reactive ProteinEEGERPsFeedback-related negativityGut microbiota

Identifiers

PMID40879735
PMCPMC13035655

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.