The study uses Canonical Correlation Analysis (CCA), which identifies relationships between sets of variables. While it reveals a significant association between stomach-brain coupling and mental health, it cannot establish cause and effect. It's unclear if stomach signals influence the brain, the brain influences the stomach, or if both are influenced by a third factor.
The demographic data (Supplementary Figure 6) shows a skewed age distribution (primarily younger adults, N=199) and a gender imbalance (more females than males). This may limit the generalizability of the findings to broader and more diverse populations.
Reliance on Self-Report Measures
Mental health dimensions were assessed using various self-report questionnaires (Supplementary Table 1). While standard, these measures are subject to biases such as social desirability, recall bias, and subjective interpretation, which could influence the accuracy of the mental health data.
EGG Signal Quality and Data Rejection
A significant number of participants (115 out of 380, approximately 30%) had their electrogastrography (EGG) data rejected due to quality issues (Supplementary Figure 5). This highlights the technical challenges in obtaining reliable gastric activity measurements and suggests that the findings are based on a subset of data that met stringent quality criteria, potentially introducing selection bias.