BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks Article Swipe
Hejie Cui
,
Wei Dai
,
Yanqiao Zhu
,
Xuan Kan
,
Antonio Aodong Chen Gu
,
Joshua Lukemire
,
Liang Zhan
,
Lifang He
,
Ying Guo
,
Carl Yang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/tmi.2022.3218745
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/tmi.2022.3218745
Mapping the connectome of the human brain using structural or functional connectivity has become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph Neural Networks (GNNs) motivated from geometric deep learning have attracted broad interest due to their established power for modeling complex networked data. Despite their superior performance in many fields, there has not yet been a systematic study of how to design effective GNNs for brain network analysis. To bridge this gap, we present BrainGB, a benchmark for brain network analysis with GNNs. BrainGB standardizes the process by (1) summarizing brain network construction pipelines for both functional and structural neuroimaging modalities and (2) modularizing the implementation of GNN designs. We conduct extensive experiments on datasets across cohorts and modalities and recommend a set of general recipes for effective GNN designs on brain networks. To support open and reproducible research on GNN-based brain network analysis, we host the BrainGB website at https://braingb.us with models, tutorials, examples, as well as an out-of-box Python package. We hope that this work will provide useful empirical evidence and offer insights for future research in this novel and promising direction.
Related Topics
Concepts
Computer science
Connectome
Neuroimaging
Artificial intelligence
Python (programming language)
Benchmark (surveying)
Machine learning
Modalities
Connectomics
Power graph analysis
Artificial neural network
Visualization
Bridging (networking)
Human Connectome Project
Graph
Data science
Functional connectivity
Theoretical computer science
Programming language
Neuroscience
Biology
Computer network
Social science
Sociology
Geodesy
Geography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tmi.2022.3218745
- OA Status
- green
- Cited By
- 140
- References
- 115
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307847583
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4307847583Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tmi.2022.3218745Digital Object Identifier
- Title
-
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-04Full publication date if available
- Authors
-
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl YangList of authors in order
- Landing page
-
https://doi.org/10.1109/tmi.2022.3218745Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10079627/pdf/nihms-1864927.pdfDirect OA link when available
- Concepts
-
Computer science, Connectome, Neuroimaging, Artificial intelligence, Python (programming language), Benchmark (surveying), Machine learning, Modalities, Connectomics, Power graph analysis, Artificial neural network, Visualization, Bridging (networking), Human Connectome Project, Graph, Data science, Functional connectivity, Theoretical computer science, Programming language, Neuroscience, Biology, Computer network, Social science, Sociology, Geodesy, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
140Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 50, 2024: 64, 2023: 22, 2022: 4Per-year citation counts (last 5 years)
- References (count)
-
115Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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