| Adjacency matrix | Matrix representation of network connections |
| ARI | Adjusted Rand Index, clustering agreement measure adjusted for chance |
| B-BGM | Bergen Brain–Gut Microbiota project |
| Betweenness centrality | Measure of how often a node lies on shortest paths between other nodes |
| Bootstrap | Resampling method for estimating confidence intervals |
| CBT | Cognitive Behavioral Therapy |
| CC | Corpus Callosum |
| CI | Confidence Interval |
| Community | Group of nodes more densely connected to |
| each other than to the rest of the network | |
| Degree centrality | Normalized measure of node connectivity |
| DGBI | Disorder of Gut–Brain Interaction |
| Edge | Connection between two nodes representing patient similarity |
| Eigenvector centrality | Node importance based on connections to other important nodes |
| eTIV | Estimated total intracranial volume |
| FDR | False Discovery Rate, correction for multiple testing |
| FODMAP | Fermentable Oligosaccharides, Disaccharides, |
| Monosaccharides, and Polyols | |
| FreeSurfer | Neuroimaging software for brain segmentation and volumetric analysis |
| Gaussian kernel | Function transforming distances to similarities |
| GI | Gastrointestinal |
| Graph/Network | Mathematical structure of nodes connected by edges |
| HC | Healthy Controls |
| IBS | Irritable Bowel Syndrome |
| IBS-C/-D/-M | IBS subtypes: constipation-predominant, diarrhea-predominant, mixed |
| IBS-SSS | IBS Severity Scoring System (range 0–500) |
| k-NN | k-nearest neighbors, network construction method |
| Louvain algorithm | Greedy algorithm for community detection via modularity maximization |
| MDCP | The Rome Foundation’s Multidimensional Clinical Profile |
| MRI | Magnetic Resonance Imaging |
| Modularity (Q) | Measure of network partition quality |
| Network density | Proportion of possible edges present in the network |
| Network sparsification | Process of removing weak edges |
| NICE | National Institute for Health and Care Excellence |
| NMI | Normalized Mutual Information, clustering similarity measure |
| Node | Vertex in the network representing an individual patient |
| Node degree | Number of edges connected to a node |
| Permutation test | Non-parametric method using random label shuffling |
| PSN | Patient Similarity Network |
| RBANS | Repeatable Battery for the Assessment of Neuropsychological Status |
| SD | Standard Deviation |
| Similarity matrix | Matrix containing pairwise similarity values between patients |
| Similarity threshold | Minimum similarity for edge inclusion |
| SNF | Similarity Network Fusion |
| Weighted edge | Edge with numerical value representing similarity strength |