# Brain Functional Connectivity Estimation on Autistic Group Data

Source: [Brain Functional Connectivity Estimation on Autistic Group Data](<https://www.sota2.com/research/sota/brain-functional-connectivity-estimation-on-autistic-group-data>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:52:24.117Z

Evaluation of models estimating functional connectivity within brain networks specifically for the Autistic Group cohort, typically measured using Mean Spearman correlation.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Brain functional connectivity estimation |
| Dataset (including any stated split) | Brain functional connectivity (Autistic Group) |
| Metric | Mean Spearman Correlation |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Mean Spearman Correlation](<https://www.sota2.com/research/sota/brain-functional-connectivity-estimation-on-autistic-group-data.md?metric=Mean%20Spearman%20Correlation>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Mean Spearman Correlation | Result date | Report paper |
| --- | --- | --- | --- |
| L2G | 0.34 | Not recorded | 68fa70621e209131cea4ac96 |
| Graph Lasso | 0.21 | Not recorded | 68fa70621e209131cea4ac96 |
| DeepGraph | 0.17 | Not recorded | 68fa70621e209131cea4ac96 |
| DeepGraph+P | 0.14 | Not recorded | 68fa70621e209131cea4ac96 |

### L2G

Mean Spearman Correlation: 0.34. Result ID: 69912e033a6c314849064404.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70621e209131cea4ac96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70621e209131cea4ac96.md>)

[Implementation](<https://github.com/xpuoxford/L2G-neurips2021>)

Recorded evaluation configuration: {"pretrained":true}. This record does not assert independent reproduction.

### Graph Lasso

Mean Spearman Correlation: 0.21. Result ID: 69912e033a6c314849064401.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70621e209131cea4ac96.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### DeepGraph

Mean Spearman Correlation: 0.17. Result ID: 69912e033a6c314849064402.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70621e209131cea4ac96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7d711e209131cea93125.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### DeepGraph+P

Mean Spearman Correlation: 0.14. Result ID: 69912e033a6c314849064403.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70621e209131cea4ac96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7d711e209131cea93125.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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