Abstract submission

Abstract submission for NeuroGASTRO 2023 opens on January 20, 2025. Deadline Abstract submission: March 28, 2025.

Submit your abstract and get the chance to present your latest research in a session or as a poster.

The abstract submission process is a simple 3 step process.

Please read the submission rules before submitting an abstract.

• Abstracts sent by mail, email or fax will not be accepted.
• The length of the abstract should not exceed 350 words, excluding author details and headers.
• The abstract should be structured as indicated in the guidelines. One figure can be included.
• Abstracts can be saved in draft status and completed before the deadline.
• The submission system will generate a temporary submission number that must be used in all correspondence. If you do not receive this number immediately after your submission by email, it means that your abstract has not been properly registered.
• Choose one primary topic listed on the website which best corresponds to the content of your abstract. If you wish you can also select an alternative topic which however is not mandatory.
  
  Please note further important information in our Abstract Guidelines (for download):

1. Mechanisms underlying normal and disordered gastrointestinal function.
2. Pain mechanisms and visceral hypersensitivity
3. Role of the microbiome and diet in health and disease: current and future therapies including prebiotics, probiotics, synbiotics and postbiotics
4. Mechanisms and diagnostic techniques in food intolerance
5. Technologies for the assessment of gastrointestinal motility and perception
6. Brain-gut interactions in health and systemic disease including pathophysiology and clinical management of gastrointestinal and neurological disorders

1. Epidemiology of disordered gut function and disorders of gut-brain interaction.
2. Women's Health/Sex differences in Neurogastroenterology and Motility
3. Drugs, bugs and diet: Implications for barrier function and neuroimmunology in the gut-brain axis
4. Artificial intelligence and Machine Learning including computer-aided diagnoses
5. Eosinophilic gastrointestinal disorders