Comparison of different group-level templates in gradient-based multimodal connectivity analysis
2024

Comparing Group-Level Templates in Brain Connectivity Analysis

Sample size: 115 publication Evidence: high

Author Information

Author(s): Kim Sunghun, Yoo Seulki, Xie Ke, Royer Jessica, Larivière Sara, Byeon Kyoungseob, Lee Jong Eun, Park Yeongjun, Valk Sofie L., Bernhardt Boris C., Hong Seok-Jun, Park Hyunjin, Park Bo-yong

Primary Institution: Sungkyunkwan University

Hypothesis

Which group-level template construction strategy is most effective in identifying between-group differences in brain connectivity?

Conclusion

Aligning a combined subject template of individuals with autism and neurotypical controls onto a high-quality independent template showed the most pronounced effect size and robust identification of ASD-related brain regions.

Supporting Evidence

  • Using a combined template of ASD and control subjects improved the identification of brain regions related to autism.
  • Templates that included both groups showed more balanced results than those using only one group.
  • The study replicated findings in individuals with focal epilepsy, demonstrating the generalizability of the approach.

Takeaway

This study looked at different ways to create brain maps for comparing people with autism and those without, finding that using a mix of both groups gives better results.

Methodology

The study compared six different group-level template construction strategies using functional and structural connectome data from neurotypical controls and individuals with autism spectrum disorder.

Potential Biases

Using templates derived from only one group may introduce bias towards that group.

Limitations

The findings may not generalize to other populations or conditions outside of autism and focal epilepsy.

Participant Demographics

59 individuals with autism spectrum disorder and 56 neurotypical controls.

Statistical Information

P-Value

pFDR < 0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1162/netn_a_00382

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